The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation
Open accessAbstract
The hypoxia-inducible factors (HIFs) are central transcriptional mediators of the cellular response to hypoxia. HIF activation typically drives a physiologically beneficial adaptive response to hypoxia. However, within solid tumors, the HIF-driven adaptation to hypoxia results in alterations within major cancer cell signaling axes including those regulating angiogenesis, metabolism and immune modulation that profoundly impact tumor progression. This review describes established and recent findings of the role of the HIFs in the regulation of these major axes, and the impact of the ‘HIF-axes’ on tumor progression and response to therapy. Current and emerging therapies targeting these axes will also be discussed.
AI snapshot
Written from the paper’s full text.
TL;DR
This review examines how HIF-1α and HIF-2α coordinate angiogenesis, metabolic reprogramming, and immune modulation in solid tumors, driving progression and therapy resistance. It also surveys current and emerging therapies that target these HIF axes, including belzutifan and combination approaches.
Key findings
- HIFs are central transcriptional mediators of hypoxia; in tumors, their activation alters three major signaling axes—angiogenesis, metabolism, and immune modulation—shaping the tumor microenvironment and therapy response.
- Angiogenesis: HIF-1α and HIF-2α promote pro-angiogenic factors such as VEGF, producing abnormal, leaky tumor vasculature; necrosis and peri-necrotic HIF expression associate with poor prognosis. Anti-angiogenic agents are largely cytostatic as monotherapies and resistance is common, though combinations improve patient benefit.
- Metabolism: HIF-1α predominantly drives glycolytic reprogramming by upregulating glucose transporters and glycolytic enzymes, inhibiting pyruvate dehydrogenase via PDK1, and promoting lactate production/export; HIFs also suppress mitochondrial OXPHOS and fatty acid oxidation while supporting glutamine-dependent reductive carboxylation. HIF-2α has context-dependent roles, including antioxidant gene induction (e.g., SOD2) and lipid accumulation. Targeting glycolysis or glutamine faces selectivity, redundancy, and toxicity limits.
- Immune modulation and therapy: HIFs recruit immunosuppressive cells (TAMs, MDSCs, Tregs), upregulate checkpoint molecules such as PD-L1/CTLA4, and promote adenosine-mediated immunosuppression; lactate impairs cytotoxic T cells. Belzutifan, an HIF-2α inhibitor, was FDA-approved in 2021 for VHL-disease-related cancers and advanced RCC, with common adverse events including anemia, fatigue, dizziness, and hypoxia; resistance has been observed. No specific HIF-1α inhibitor is yet described.
Methods
- Narrative review synthesizing established and recent literature on HIF-1α and HIF-2α in cancer, organized around angiogenic, metabolic, and immune-modulatory axes and therapeutic targeting.
- No primary experimental data, patient cohort, or systematic search/analysis is described; the paper relies on cited studies, tables, and clinical trial examples (e.g., belzutifan trials, adenosine pathway inhibitors).
Limitations
- Stated in the paper: tumor heterogeneity, pathway redundancy, and tumor cell plasticity combined with TME complexity make acquired resistance nearly inevitable; anti-angiogenic monotherapies are mainly cytostatic and resistance-prone; metabolic and adenosine-targeting agents have shown limited clinical benefit, toxicity, or lower-than-expected responses; belzutifan resistance and ARO-HIF2 low response/neurotoxicity are noted; no specific HIF-1α inhibitors exist.
- Stated in the paper: many adenosine-pathway early trials enrolled refractory or PD-1-resistant patients, which may limit interpretation of efficacy.
- Evident from the text: as a narrative review without systematic search criteria or primary data, it may reflect selection of cited literature and cannot quantify effect sizes or assess publication bias.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
100 of 141 cited sources checked · 37 supported · 1 flagged · accuracy not yet measured
- Premisecitation
HIF-associated changes are major contributors to a tumor microenvironment that supports growth and therapy resistance.
“HIF-associated changes are major contributory factors to the unique tumor microenvironment (TME) that favors tumor growth and drives resistance to therapy [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] source
- Interpretationcitation
The unique IRP1 regulation of HIF-2α offers an opportunity for selective targeting independent of pVHL.
“The unique regulation of HIF-2α by IRP1 provides a novel opportunity for its selective targeting independently of pVHL [24].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [24] source
- Premisecitation
HIFs can be activated independently of hypoxia by oncogene activation or tumor suppressor loss.
“Independently of hypoxia, HIFs can also become activated through the activation of oncogenes, or loss of tumor suppressor genes.”
Quote in the paperSubstantial claim2 of 4 sources checked- cites [11] source
- cites [12]
- cites [13] source
The “pVHL: MASTER REGULATOR OF HIF” section (page unavailable) says that mutated pVHL or loss of VHL expression increases HIF activity irrespective of oxygen levels. The paper does not establish the other proposed route—oncogene activation causing HIF activation. Its discussion of c-Myc concerns interaction with HIF, not that causal claim. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [14] source
- Premisecitation
IRP1-mediated suppression of HIF-2α translation prevents HIF-2-mediated erythropoiesis under iron starvation.
“IRP1-mediated suppression of HIF-2α translation prevents HIF-2 mediated induction of erythropoiesis under iron starvation conditions, when the production of hemoglobin, an iron-containing molecule, may be limiting [23].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [23] source
The “Interactions Between IRP1 and HIF-2a” section (page not provided) reports that iron deficiency inhibits HIF-2α translation through IRP activity. It proposes that the IRP1–HIF-2α interaction could limit erythropoiesis under hypoxia and low systemic iron, but does not establish that it prevents erythropoiesis under iron starvation. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
PIM1 kinase directly activates HIF-1α and HIF-2α by phosphorylation that disrupts HIF-α degradation.
“For example, PIM1 kinase, a serine-threonine kinase that promotes tumorigenesis by impacting cell cycle progression, survival, and proliferation, directly activates HIF-1α and HIF-2α through phosphorylation, disruping HIF-α degradation [11].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [11] source
The Results and Discussion show that PIM1 directly phosphorylates HIF-1α at Thr455, reducing its degradation. The Discussion explicitly says the authors could not confirm direct phosphorylation of HIF-2α by PIM1; although phosphorylation at an analogous HIF-2α site stabilizes that protein, the claim of direct activation of both subunits by PIM1 overstates the evidence. (LLM, conf=0.92)
Experimental — accuracy not yet measured
- Premisecitation
Anti-cancer drugs that target various steps of glucose metabolism have been developed.
“Similarly, anti-cancer agents that target the multiple steps of glucose metabolism from glucose uptake to lactate production have also been developed (Table 2) [55].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [55] source
- Premisecitation
Acquired resistance to anti-angiogenic agents is frequent due to compensatory pro-angiogenic signaling and hypoxia-induced modulation of cancer cell signaling.
“Thus, acquired resistance is frequently observed, due to the activation of compensatory pro-angiogenic signaling pathways and hypoxia-induced modulation of cancer cell signaling [34].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [34] source
In “The Resistance to Antiangiogenic Therapy” (page unavailable), the review identifies acquired resistance as a cause of treatment failure and links angiogenesis-related gene-expression changes and c-Met overexpression to resistance. “Tumor Microenvironment and Antiangiogenic Therapy” (page unavailable) says treatment can aggravate hypoxia and that hypoxia-induced HIF-1α can drive tumor-cell changes underlying resistance. The copy does not establish that acquired resistance is frequent specifically because compensatory pro-angiogenic pathways are activated; it describes the mechanisms more narrowly. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
TKIs have broadened anti-angiogenic therapy to include PDGFR, FGFR, c-MET, and PIGF, which are now mainstay targets.
“Tyrosine kinase inhibitors (TKIs) have broadened the scope of anti-angiogenic therapy to include other pro-angiogenic growth factors and receptors such as PDGFR, FGFR, c-MET, and PIGF, which are now mainstay targets of the targeted therapy arsenal (Table 2) [33].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [33] source
Section 2.1 (p. 4) describes tyrosine kinase inhibitors targeting FGF/FGFR, PDGFR and MET alongside VEGF pathways. But Section 2.3 (p. 5) says PDGF inhibitors might have a place in future treatment, and Section 3 (p. 7) discusses PlGF blockade without identifying it as a TKI target. The paper therefore supports the broadened-target point, not the claim that all four are now mainstay TKI targets. (LLM, conf=0.89)
Experimental — accuracy not yet measured
- Premisecitation
A central response to hypoxia and HIF activation is metabolic reprogramming toward oxygen-independent energy pathways, especially a switch from oxidative phosphorylation to anaerobic glycolysis, preserving bioenergetics during oxygen deprivation.
“A central cellular response to hypoxia and HIF activation is metabolic reprogramming to favor energy-generating pathways that do not require oxygen; the best characterized of which, is the switch from oxidative phosphorylation in the mitochondria (a process that utilizes ~90% of available oxygen), to anerobic glycolysis, thus preserving cellular bioenergetics during periods of oxygen deprivation (”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [36] source
- Premisecitation
HIF-2α, but not HIF-1α, has been linked to suppression of fatty acid oxidation in the liver, causing lipid accumulation and steatosis in pVHL-deficient mice.
“Intriguingly, the isoform specific roles of HIF-1/2α are highly context specific as HIF-2α but not HIF-1α has been linked to the suppression of FAO in the liver, resulting in lipid accumulation and steatosis in pVHL-deficient mice [49].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [49] source
- Premisecitation
Additional imaging methods based on increased glucose uptake or lactate production have been used or are being developed.
“Other imaging modalities based on increased glucose uptake such as using [1–13C] glucose or [6,6-2H2]glucose magnetic resonance spectroscopy, or using tracers based on other indicators of glycolysis such as increased lactate production have also been utilized or are currently under development [53, 54].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [53] source
The section on lactate measurement (page not provided) describes FDG-PET for glucose uptake, proton MRS for mapping lactate, and carbon-13 pyruvate MRSI for assessing glycolytic metabolism. This supports the general point that such imaging methods are used, but the passages do not substantiate the citing sentence’s specific examples of [1-13C]glucose or [6,6-2H2]glucose spectroscopy; the carbon-13 compound discussed is pyruvate, not glucose. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [54] source
- Premisecitation
Recent studies suggest metastatic tumor subclones preferentially originate from the tumor interior partly because necrosis-associated vascular permeability changes promote dissemination.
“Indeed, recent studies suggest that metastatic tumor subclones preferentially originate from the tumor interior due in part to changes in vascular permeability associated with necrosis that promotes tumor cell dissemination [28, 29].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [28] source
- cites [29] source
The Discussion (page unavailable) states that metastatic clear cell renal cell carcinoma subclones preferentially originate in the tumour interior and proposes a model linking central necrosis to their evolution. It does not attribute dissemination to necrosis-associated changes in vascular permeability; its proposed mechanism involves increased copy-number alterations and adaptation to harsh conditions. The finding is also specific to the cancer type studied, rather than metastatic tumours generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Both HIF-1α and HIF-2α suppress CPT1A, the rate-limiting factor for fatty acid import into mitochondria, channeling fatty acids away from β-oxidation to lipid storage, which is essential for ccRCC tumorigenesis.
“Indeed, both HIF-1α and HIF-2α suppress CPT1A, the rate limiting component for FA import into the mitochondria, thus channeling FAs away from β-oxidation to lipid storage, which is essential for ccRCC tumorigenesis [48].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [48] source
- Premisecitation
Hypoxia-reperfusion-induced HIF-1α promotes mitophagy in human tubular cells via BNIP3 or BNIP3L.
“Conversely, hypoxia-reperfusion induced HIF-1α promotes mitophagy in human tubular cells through activation of BNIP3 or BNIP3L [45, 46].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [45] source
- cites [46] source
The Discussion (page unavailable) proposes that HIF1α promotes hypoxia-induced mitophagy through BNIP3 and NIX (BNIP3L). The reported experiments concern iron chelation in SH-SY5Y cells and cardiomyoblast differentiation, not hypoxia-reperfusion in human tubular cells; the cited paper therefore does not support that setting or population. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
VEGF pathway blockers, including neutralizing antibodies, soluble VEGFR hybrids, and VEGFR tyrosine kinase inhibitors, are used in the clinic typically with other targeted therapies.
“A wide variety of agents that block the VEGF signaling pathway, such as neutralizing antibodies to VEGFA or VEGFR, soluble VEGFR hybrids, or inhibitors of VEGFR’s tyrosine kinase domain, are currently used in the clinic, typically in combination with other targeted therapies [32].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [32] source
The opening section describes VEGF-targeting agents as commonly used in the clinic and identifies approved bevacizumab and VEGFR-inhibiting drugs. But it says bevacizumab was generally approved with chemotherapy, while sunitinib, sorafenib, and pazopanib were approved as monotherapies—not that these agents are typically combined with other targeted therapies. The cited passages also do not establish soluble VEGFR hybrids as currently used in the clinic. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
HIF-1α promotes the inflammatory response by promoting neutrophil survival.
“Besides TAMs, HIF-1α is also known to promote the inflammatory response by promoting neutrophil survival, whereas HIF-1α depletion in tumor-infiltrating neutrophils can reverse their pro-tumorigenic phenotype, reducing tumor burden [78, 79].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [78] source
The Introduction discusses HIF-1α’s regulation of immune-cell functions, but does not say it promotes inflammation by prolonging neutrophil survival. The References list separate studies on HIF-1α-dependent neutrophil survival and myeloid-cell inflammation; our copy does not state the claimed causal link. No page number is available in the indexed passages. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites [79] source
The Abstract and Results report that HIF-1α regulates neutrophil survival under low-oxygen conditions. The Discussion suggests that reduced survival may contribute to impaired inflammation in HIF-1α-deficient mice, but does not establish the broader, unqualified causal claim that HIF-1α promotes inflammation by promoting neutrophil survival. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
In a highly glycolytic tumor microenvironment, lactate eliminates the efficacy of immune checkpoint inhibition by modulating the balance of PD-1 expression between CD8+ T cells and Treg cells.
“For example, accumulation of lactate derived from cancer cells impairs cytokine production and proliferation of cytotoxic T lymphocytes, whereas in the context of a highly glycolytic TME, lactate eliminates the efficacy of immune checkpoint inhibition by modulating the balance of PD-1 expression between CD8+ T cells and Treg cells [87, 88].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [87] source
The Abstract and Discussion report that tumor-derived lactic acid suppresses CD8+ cytotoxic T-cell function. They do not address immune checkpoint inhibition or a PD-1 expression balance between CD8+ T cells and Treg cells, so they do not support the claimed effect on treatment efficacy or its proposed mechanism. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [88] source
- Premisecitation
Hypoxia strongly stimulates immune activation because it is associated with microbial proliferation or disrupted perfusion from damaged vasculature.
“Hypoxia is a potent stimulus of immune activation due to its association with microbial proliferation or disrupted perfusion caused by damaged vasculature [64].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [64] source
- Premisecitation
HIFs are linked to modulation of the adaptive immune response by upregulating both co-inhibitory receptors (PD-L1, CTLA4) and co-stimulatory receptors (4-1BB, OX40) on activated T cells.
“In addition to regulating components of the innate immune response, the HIFs have been linked to modulation of the adaptive immune response through upregulation of both co-inhibitory (eg. PD-L1 and CTLA4) and co-stimulatory receptors (eg. 4–1BB, OX40) on activated T cells [80, 81].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [80] source
- cites [81] source
The Results and Discussion (page unavailable) show that HIF-1α upregulates PD-L1 under hypoxia, linking it to altered T-cell suppression. But the PD-L1 increase was found on myeloid-derived suppressor cells, not activated T cells; the paper reports no HIF effect on CTLA-4 in the cells tested and does not establish upregulation of 4-1BB or OX40. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
The TCA cycle provides intermediates used to make glucose, lipids, and non-essential amino acids.
“In addition to serving as a major route for energy production, the TCA cycle also supplies key intermediates for conversion into glucose, lipids and non-essential amino acids [56].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [56] source
The copy’s passage on TCA-cycle anabolism (section labeled Abstract; no page given) says exported citrate supplies material for lipid synthesis. Its acetyl-CoA discussion also names certain amino acids, including glutamate, proline, and arginine. The copy does not say TCA-cycle intermediates are used to make glucose, so that part of the attributed claim is unsupported. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Accumulation of lactate from cancer cells impairs cytokine production and proliferation of cytotoxic T lymphocytes.
“For example, accumulation of lactate derived from cancer cells impairs cytokine production and proliferation of cytotoxic T lymphocytes, whereas in the context of a highly glycolytic TME, lactate eliminates the efficacy of immune checkpoint inhibition by modulating the balance of PD-1 expression between CD8+ T cells and Treg cells [87, 88].”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Both HIF-1α and HIF-2α contribute to the shift toward reductive glutamine metabolism in VHL-deficient clear cell renal cell carcinoma cells.
“whereas both HIF-1α and HIF-2α contribute to the switch to reductive glutamine metabolism in VHL-deficient ccRCC cells [59]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [59] source
The Results section on hypoxia-induced GLS expression (page unavailable) studies ovarian cancer and endothelial cells, not VHL-deficient ccRCC cells. It reports that HIF-1α, but not HIF-2α, affects GLS expression in those cells; that is a different outcome and does not resolve the claimed switch to reductive glutamine metabolism in ccRCC. Searches for VHL-deficient ccRCC and reductive glutamine metabolism found no passage addressing the claim. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Premisecitation
HIF-1α or HIF-2α expression in TAMs is associated with tumor progression and/or poor prognosis in multiple tumor types.
“Both HIF-1α or HIF-2α expression in TAMs have been associated with tumor progression and/or poor prognosis in multiple tumor types, whereas lack of HIF-1α or HIF-2α in TAMs decreases metastasis, cell proliferation, and expression of pro-inflammatory cytokines such as IL-6 [73–76].”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [73] source
The Abstract Results and Discussion report that HIF-1α in tumor-associated macrophages is associated with progression and poorer survival in clear-cell kidney cancer. They do not establish this association across multiple tumor types. The Abstract Results instead locate HIF-2α primarily in tumor cells and associate higher HIF-2α with better outcomes. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [74] source
The Hypoxia and Tumor cells sections (pages unavailable) link HIF-1/2 accumulation in macrophages to M2 polarization and describe HIF-associated macrophage changes that promote tumor progression. They do not establish an association between HIF-1α or HIF-2α expression in TAMs and poor prognosis, or document that association across multiple tumor types. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [75] source
The section ‘HIF-Dependent BCC-MSC Interactions Promote TAM and Myeloid-’ reports that hypoxia induces HIF-1α and HIF-2α in macrophages, activating genes with prometastatic functions. The introduction also links TAM density—not HIF expression in TAMs—to metastasis and mortality in breast cancer. The paper does not establish the claimed association between HIF expression in TAMs and poor prognosis across multiple tumor types; its HIF-knockdown experiments target breast cancer cells, not TAMs. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [76] source
The Figure 10 passage reports that high HIF-2α levels in TAMs correlate with increased tumor grade and vascularity, and that more HIF-2α-expressing TAMs are associated with poor prognosis. The Discussion says HIF-2α is found in TAMs across various human cancers, but it does not establish the claimed association for HIF-1α expression in TAMs. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
HIF-1α promotes activation of mitochondrial IDH2, which drives reductive carboxylation of glutamine-derived α-KG to support the reverse TCA cycle.
“HIF-1α also promotes the activation of the mitochondrial IDH2 isoform, which promotes the reductive carboxylation of glutamine-derived α-KG to drive the reverse TCA cycle [62].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [62] source
Section 2 (page not provided) describes HIF-dependent reductive metabolism of glutamine-derived α-ketoglutarate to citrate, reversing a TCA-cycle reaction catalyzed by IDH. It says IDH1 or IDH2 may contribute under hypoxia, but does not say HIF-1α activates mitochondrial IDH2 specifically. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Interpretationcitation
Tumor heterogeneity, pathway redundancies, inherent tumor cell plasticity, and the complexity of the tumor microenvironment make acquired resistance an almost inevitable outcome of current therapies.
“However, tumor heterogeneity, pathway redundancies and inherent tumor cell plasticity, when combined with the complexity of the TME, renders acquired resistance an almost inevitable outcome of current therapies [113].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [113] source
The Acquired Resistance to Targeted Therapy section identifies bypass pathways and phenotypic transformation as resistance mechanisms; Lineage Plasticity links cell plasticity and the tumor microenvironment to resistance. Improving the Characterization of Resistance also discusses tumor heterogeneity. These passages support the mechanisms named, but do not establish that acquired resistance is almost inevitable across current therapies. The supplied copy gives section labels but no page numbers. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Discovery of a cavity in the hydrophobic core of the HIF-2α PAS-B domain enabled development of selective HIF-2α inhibitors that prevent heterodimerization of HIF-2α, but not HIF-1α, with HIF-1β.
“The discovery of a cavity within the hydrophobic core within the PAS-B domain of HIF-2α has enabled the development of selective inhibitors of HIF-2α, which prevent heterodimerization of HIF-2α (but not HIF-1α) with HIF-1β [96].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [96] source
- Premisecitation
HIFs are the main transcriptional mediators of the cellular hypoxia response.
“The hypoxia-inducible factors (HIFs) are central transcriptional mediators of the cellular response to hypoxia.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
HIF-3α has complex function and regulation due to multiple splice variants with variable or opposing functions.
“By contrast, the function and regulation of HIF-3α is more complex since the HIF-3α gene produces multiple splice variants, with many demonstrating variable, or even opposing functions [1, 7].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisenone given
Localized hypoxia induces angiogenesis, the formation of new blood vessels from existing ones, to restore oxygen to ischemic or damaged tissue.
“The most fundamental response to localized hypoxia is the induction of newblood vessel formation from existing blood vessels, or angiogenesis, to replenish the oxygen supply to ischemic or damaged tissue (Figure 1).”
Quote in the paperSubstantial claim - Premisecitation
Oncometabolites such as lactate, fumarate, succinate, and 2-hydroxyglutarate modulate HIF levels and facilitate tumor progression.
“HIF levels can also be modulated by the presence of oncometabolites such as lactate, fumarate, succinate, and 2-hyroxyglutarate, facilitating tumor progression [19].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In hypoxic tumors, dynamic intermittent hypoxia drives imbalanced activation of HIF-1α, HIF-2α, VEGF, and other pro-angiogenic factors, producing abnormal tumor vasculature.
“This process is disrupted within hypoxic tumors, wherein dynamic and intermittent hypoxia drives rapid and imbalanced activation of HIF-1α and HIF-2α, VEGF and other pro-angiogenic factors (Table 1) that result in abnormal tumor vasculature.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Table 1
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Glycolysis plays a major role in modulating the tumor microenvironment, typically favoring tumor progression.
“Additionally, glycolysis plays a major role in modulating the TME, typically to favor tumor progression, which will be discussed in the next section [40].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] source
- Premisecitation
HIF-2α, but not HIF-1α, preserves mitochondrial activity by inducing antioxidant genes including SOD2, reducing mitochondrial ROS.
“Additionally, the roles of the HIFs in the overall regulation of mitochondrial function are more nuanced as HIF-2α but not HIF-1α, has been shown to preserve mitochondrial activity through the induction of antioxidant gene expression including SOD2, which reduces mitochondrial ROS [50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] source
- Premisenone given
Preferential glycolysis even with sufficient oxygen, known as aerobic glycolysis or the Warburg effect, is a frequent cancer hallmark.
“The preferential use of glycolysis for energy production, even in the presence of sufficient oxygen (i.e. aerobic glycolysis, also known as the Warburg effect), is a frequent hallmark of cancer.”
Quote in the paperSubstantial claim - Interpretationreasoning
The switch to glycolysis fulfills both biosynthetic and bioenergetic demands of cancer cells.
“Thus, the switch to glycolysis fulfills both the biosynthetic and bioenergetic demands of cancer cells.”
Quote in the paperSubstantial claim - Premisecitation
Glycolysis uses HIF-regulated glucose transporters and enzymes to convert glucose to pyruvate, which enters mitochondria to produce acetyl-CoA.
“Glycolysis involves the uptake and breakdown of glucose through a multi-step process (catalyzed by a variety of HIF-regulated glucose transporters and glycolytic enzymes) into pyruvate, which is transported into the mitochondria to produce acetyl-CoA (Figure 4A).”
Quote in the paperNot a substantial claim - Premisereasoning
Necrosis is common in solid tumor cores where cells die from extreme nutrient and oxygen limitation.
“Indeed, necrosis is a common feature within the cores of solid tumors wherein tumor cells undergo cell death due to extreme nutrient and oxygen limitation.”
Quote in the paperNot a substantial claim - Premisereasoning
Because mitochondria consume most cellular oxygen, hypoxia causes mitochondrial damage through increased mitochondrial ROS.
“Since mitochondria are the major consumers of oxygen within the cell, hypoxia results in mitochondrial damage caused by increased mitochondrial reactive oxygen species (ROS).”
Quote in the paperNot a substantial claim - Interpretationreasoning
The differing roles of HIF-1α and HIF-2α in hypoxia-induced metabolic reprogramming highlight that tissue context determines HIF-α isoform-specific target gene expression.
“The disparate roles of HIF-1α and HIF-2α in hypoxia-induced metabolic reprogramming underscore the important role of tissue context in determining HIF-α isoform specific target gene expression.”
Quote in the paperSubstantial claim - Interpretationreasoning
The HIF-mediated shift to glycolysis increases lactate secretion into the extracellular matrix, contributing to an immunosuppressive tumor microenvironment.
“Indeed, the HIF-mediated metabolic shift to glycolysis results in increased lactate secretion into the ECM, which contributes to an immunosuppressive TME.”
Quote in the paperSubstantial claim - Interpretationreasoning
Beyond directly modulating immune cell infiltration and function, HIFs also contribute to an immunosuppressive phenotype by modulating the tumor microenvironment.
“Apart from directly modulating immune cell infiltration and function, the HIFs also contribute to an immunosuppressive phenotype by modulating the TME.”
Quote in the paperSubstantial claim - Interpretationreasoning
When HIF is active, glutamine supplies α-KG for reductive carboxylation to fuel the TCA cycle and replenish its intermediates in cancer cells.
“In this setting, glutamine serves as a source of α-KG to fuel the TCA cycle through reductive carboxylation and replenishes TCA cycle intermediates in cancer cells.”
Quote in the paperSubstantial claim - Interpretationreasoning
The reverse TCA cycle produces citrate that can be converted to acetyl CoA in the cytoplasm to support lipid synthesis.
“For example, the reverse TCA cycle generates citrate that can be converted into acetyl CoA in the cytoplasm to fuel lipid synthesis.”
Quote in the paperSubstantial claim - Premisecitation
Both HIF-1α and HIF-2α play central roles in regulating immune cell function, partly by inducing glycolysis and modulating survival and crosstalk between immune cells.
“Apart from modulating immune cell recruitment, both HIF-1α and HIF-2α also play central roles in regulating immune cell function, in part by inducing glycolysis and modulating survival and crosstalk between immune cells [71].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [71] source
- Interpretationreasoning
Because most early phase trials enrolled patients with refractory disease, many with PD-1 resistance, improved responses to dual adenosine plus checkpoint blockade might be expected in certain patients if given as primary therapy.
“However, a vast majority of these early phase trials recruited patients with refractory disease, many with PD-1 resistance, suggesting that improved response to dual adenosine plus checkpoint blockade could be expected in certain patients if offered as primary therapy.”
Quote in the paperSubstantial claim - Premisecitation
Both HIF-1α and HIF-2α induce CCL28, which recruits MDSCs into hepatocellular tumors.
“For example, both HIF-1α and HIF-2α induce the production of CCL28, which promotes the recruitment of MDSCs into hepatocellular tumors, whereas HIF-1α induces production of CCL26 that enhances recruitment of Tregs into ovarian tumors (Table 1) [69, 70].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
DFF332, another HIF-2α inhibitor under development, showed initial efficacy and safety in patients with advanced clear cell renal cell carcinoma in Phase 1/1b trials.
“Other inhibitors of HIF-2α are currently under development include DFF332, which showed initial efficacy and safety in patients with advanced ccRCC in Phase 1/1b trials [106].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [106] source
- Interpretationcitation
Trial data suggest that HIF-2α inhibition may have a more favorable safety profile than current antiangiogenic agents, which are associated with cardiovascular, hematologic, and metabolic disturbances.
“Data from the trials suggest that HIF-2α inhibition may offer a more favorable safety profile than current antiangiogenic agents, which are associated with cardiovascular adverse events, hematologic disturbances, and metabolic disturbances [100].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [100] source
- Premisereasoning
Because HIFs are strongly associated with tumor progression and morbidity across many tumor types, they have long been considered promising therapeutic targets.
“Due to their strong associations with tumor progression and morbidity in a variety of tumor types, HIFs have long been recognized as promising therapeutic targets.”
Quote in the paperSubstantial claim - Interpretationreasoning
Advances in identifying and targeting HIF axes have revolutionized cancer treatment.
“Advances in previous decades in identifying and targeting the HIF-axes has revolutionized the treatment of cancer.”
Quote in the paperSubstantial claim - Interpretationnone given
Targeted agents that affect HIFs and the HIF axes currently form the mainstay of the current and emerging targeted therapy arsenal.
“Targeted agents that impact HIFs and these HIF axes currently form the mainstay of the current and emerging targeted therapy arsenal (Table 2).”
Quote in the paperSubstantial claim
- May combine two claims. 75
- Classified as probably not a substantial claim. 7
May combine two claims.
PremisecitationInhibiting either ENTPD2 or ADK enhances immune checkpoint inhibitor activity, highlighting their importance in driving immunosuppression and their potential as therapeutic targets.
“Inhibition of either ENTPD2 or ADK enhanced the activity of immune checkpoint inhibitors, which highlights their significance in driving immunosuppression and their potential utility as therapeutic targets to enhance the efficacy of immune checkpoint inhibitors [90, 93].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [90] source
- cites [93] source
The Results section on Adk knockout reports the opposite direction for ADK: its loss promoted HCC growth and suppressed antitumor immune cells, rather than enhancing checkpoint-inhibitor activity. The Results section on extracellular adenosine sensing attributes improved anti–PD-1 activity to combined A2AR and A2BR receptor blockade, not inhibition of ADK or ENTPD2. No page numbers were provided in our copy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSolid tumors and metastases usually have hypoxic regions because tumor cell proliferation exceeds oxygen supply and tumor vasculature is irregular and dysfunctional.
“Solid tumors and their metastases typically manifest regions of hypoxia due to the rapid proliferation of tumor cells that frequently outstrips their oxygen supply, coupled with irregular and dysfunctional tumor vasculature [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] source
The Introduction states that hypoxia is present in 90% of solid tumors, and “Factors Contributing to Hypoxia in Cancer” links it to rapid tumor growth, oxygen demand exceeding supply, and abnormal, nonfunctional vessels (page numbers unavailable). The paper discusses hypoxia promoting metastasis, but the passages do not establish that metastases themselves typically contain hypoxic regions. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationUnder hypoxia, HIFs stabilize, enter the nucleus, heterodimerize with HIF-1β, bind HREs, and transcribe hundreds of hypoxia-adaptation genes.
“HIFs are stabilized under hypoxic conditions, where they translocate to the nucleus, heterodimerize with the constitutive HIF-1β subunit, and bind to the hypoxia-response element (HRE) within the regulatory elements of target genes to drive the transcription of hundreds of genes critical for the adaptation to hypoxia [9, 10].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [9] source
The section ‘HIF α Regulation by O2 Availability’ says hypoxia stabilizes HIF α and enables transcription of adaptive genes. The AUTHOR MANUSCRIPT passage says HIF α pairs with stable HIF1β and the resulting heterodimers bind HREs. Our copy does not establish the claimed nuclear translocation or the specific quantity of hundreds of genes. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [10] source
May combine two claims.
PremisecitationIn some contexts where HIF-1α is lost or inactivated, such as renal cancer or medulloblastoma, HIF-2α becomes dominant in the hypoxia response, suggesting redundancy between isoforms.
“However, in certain contexts, such as in renal cancer or medulloblastoma where HIF-1α is lost or inactivated, HIF-2α acquires the dominant role in regulating the hypoxia response, suggesting a measure of redundancy between the two isoforms [5, 6].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [5] source
- cites [6] source
The Introduction (page unavailable) says VHL-defective clear-cell renal carcinoma cells show a bias toward HIF-2α, and the Discussion (page unavailable) describes the 786-0 renal cancer line as expressing only HIF-2α. The Introduction also notes some overlapping effects between the isoforms. The paper does not address medulloblastoma or establish that HIF-2α takes over HIF-1α’s hypoxia-response role when HIF-1α is lost; it also emphasizes distinct effects of the isoforms. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRenal cancers with FH/SDH mutations tend to preferentially express HIF-1α, unlike pVHL-deficient ccRCC tumors that constitutively express both isoforms or preferentially HIF-2α.
“Intriguingly, unlike pVHL-deficient ccRCC tumors that constitutively express both HIF isoforms or HIF-2α preferentially, renal cancers bearing FH/SDH mutations tend to preferentially express HIF-1α [20].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] source
The “HIF1a expression in HLRCC tumours” section reports very strong HIF-1α staining in three FH-associated renal cancers. The Discussion also reports HIF-1α accumulation in SDHB-associated paragangliomas, but not SDH-associated renal cancers. The paper does not establish preferential HIF-1α expression over HIF-2α or the claimed isoform pattern in pVHL-deficient clear-cell renal cancers. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn normal development, HIF-1α dominates vasculogenesis while HIF-2α mainly contributes to later vessel remodeling and maturation, known as the HIF switch.
“In the normal developmental setting, HIF-1α plays a dominant role throughout vasculogenesis, whereas HIF-2α contributes primarily to vessel remodeling and maturation during the later stages of vasculogenesis (the HIF switch) [25].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [25] source
Section 3.1 links HIF-1α to embryonic vasculogenesis and describes HIF-2α as an enhancer of genes involved in vessel stabilization at the final stage of angiogenesis. It does not describe a developmental transition between them, call it a “HIF switch,” or place remodeling and maturation in the later stages of vasculogenesis. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationNF-κB regulates the hypoxic response by stimulating HIF-1α and HIF-1β transcription and by IKK-dependent stabilization of HIF-2α.
“Additionally, numerous studies have shown that NF-κB regulates the hypoxic response by stimulating the transcription of HIF-1α and HIF-1β, and by inducing IKK-dependent stabilization of HIF-2α [15–17].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [15] source
The paper’s main text (page unavailable) reports that IKKβ-responsive NF-κB activates HIF-1α transcription, supporting that part of the claim. It does not establish HIF-1β transcriptional stimulation; moreover, it reports that IKKβ was required for HIF-1α accumulation but not HIF-2α accumulation in the macrophages studied, contrary to the HIF-2α part. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [16] source
The Introduction and Results report that NF-κB binds the HIF-1α promoter and increases HIF-1α mRNA, supporting the transcriptional part for HIF-1α. The Results instead say HIF-1β protein levels remained stable; they do not establish stimulation of its transcription. The IKK experiments concern hypoxia-induced HIF-1α levels, not IKK-dependent stabilization of HIF-2α (page numbers unavailable). (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [17] source
May combine two claims.
PremisecitationRAS, PI-3K, ERK1/2 activation and pVHL loss cause hypoxia-independent HIF activation.
“Similarly, activation of RAS, PI-3K, or downstream ERK1/2 kinases, common in many cancer types, and loss of pVHL, frequently observed in clear cell renal cell carcinoma (ccRCC), result in hypoxia-independent activation of the HIFs [12–14].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [12]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [13] source
The “pVHL: MASTER REGULATOR OF HIF” section states that loss of VHL expression stabilizes HIF-α and increases HIF activity irrespective of oxygen levels. The passages found do not support the additional claim that activation of RAS, PI-3K, or ERK1/2 causes hypoxia-independent HIF activation. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [14] source
May combine two claims.
PremisecitationHIF-1α is widely expressed in most tissues during hypoxia, while HIF-2α and HIF-3α have more restricted tissue-specific expression under hypoxia.
“HIF-1α is widely expressed in most tissue during hypoxia, whereas HIF-2α and HIF-3α show more restricted, tissue-specific expression under hypoxic conditions [4].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [4] source
May combine two claims.
PremisecitationElevated fumarate and succinate in renal cancers with SDH or FH mutations suppress PHD-mediated HIF-α hydroxylation and stabilize both HIF-1α and HIF-2α.
“Elevation of fumarate and succinate, such as in renal cancer subtypes bearing succinate dehydrogenase (SDH) or fumarate hydratase mutations, suppress HIF-α hydroxylation by the PHDs, resulting in the stabilization of both HIF-1α and HIF-2α [20].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] source
The Abstract and Discussion report fumarate and succinate accumulation in FH-deficient tumours, predominantly succinate accumulation in SDH-deficient tumours, and increased HIF-1α protein. They describe PHD inhibition as a plausible mechanism, not one demonstrated in these tumours. The paper does not establish stabilization of HIF-2α, and its SDH-mutant tumours are paragangliomas or phaeochromocytomas, not renal cancers. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationGSK-3β phosphorylates HIF-1α, leading to pVHL-independent ubiquitination and degradation; HIF-2α phosphorylation has not been demonstrated.
“Conversely, the serine-threonine kinase GSK-3β can phosphorylate HIF-1α (phosphorylation of HIF-2α has not been demonstrated), leading to pVHL-independent ubiquitination and degradation [18].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [18] source
The Introduction (page not provided) describes GSK3β phosphorylation of HIF-1α and VHL-independent degradation; the Discussion (page not provided) reports ubiquitin-dependent degradation through FBW7. The paper does not address whether HIF-2α phosphorylation has been demonstrated, so it does not support that part of the sentence. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIF-2α is a central non-redundant regulator of erythropoiesis by inducing kidney EPO and promoting gut iron uptake, supporting erythroid progenitor maturation and proliferation.
“HIF-2α is a central non-redundant regulator of erythropoiesis by inducing erythropoietin (EPO) production by the kidney, and promoting iron uptake in the gut, which facilitates erythroid progenitor maturation and proliferation [21].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] source
The Abstract reports that intestinal HIF-2α is crucial for iron absorption in mice, and the Introduction describes HIF-2α as important in adult erythropoiesis and dominant in regulating EPO expression. The Results report increased kidney EPO after intestinal Hif2a deletion, but do not establish that HIF-2α induces kidney EPO. The copy also does not address erythroid progenitor maturation or proliferation. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe angiogenic switch is a key event in transition from dormant hyperplasia to outgrowing vascularized tumor and is a hallmark of all solid tumor types.
“This ‘angiogenic switch’ is a key event that facilitates the transition from a dormant hyperplasia to an outgrowing vascularized tumor and is a hallmark of all solid tumor types [26].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [26] source
The Introduction describes angiogenesis as important for rapid tumor expansion, and the section on transgenic mouse models places the angiogenic switch between hyperplastic islets and solid tumors. But the paper calls it a potentially rate-limiting step for “many solid tumors,” not a demonstrated hallmark of all solid tumor types (section labeled Abstract in our copy; page unavailable). (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIF-2α, but not HIF-1α, is regulated by iron through an iron-responsive element in the 5' UTR of its transcript.
“Consistent with the central role of HIF-2α in the regulation of iron homeostasis, HIF-2α (but not HIF-1α) is also regulated by iron due to the presence of an RNA stem-loop element known as an iron-responsive element (IRE), in the 5’ untranslated region (UTR) of the HIF-2α transcript [22].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [22] source
May combine two claims.
PremisecitationAlthough HIF-1α and HIF-2α can regulate similar target genes due to HRE conservation, glycolysis is primarily driven by HIF-1α rather than HIF-2α.
“Although HIF-1α and HIF-2α can regulate similar target genes due to the conservation of the HRE, multiple studies have shown that glycolysis is primarily driven by HIF-1α and not HIF-2α [37, 38].”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationHIF-1α suppresses fatty acid oxidation by inhibiting medium-chain and long-chain acyl-CoA dehydrogenases in cancer cells, decreasing ROS and increasing proliferation, likely by reducing acetyl-CoA for the TCA cycle and mitochondrial respiration.
“Additionally, HIF-1α suppresses FAO through inhibition of medium-chain Acyl-CoA dehydrogenase and long-chain Acyl-CoA dehydrogenase in a panel of cancer cells, resulting in decreased ROS and increased proliferation, presumably by reducing the production of acetyl-CoA required for the TCA cycle, thus inhibiting mitochondrial respiration and concomitant ROS production [47].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [47] source
May combine two claims.
PremisecitationAlthough glycolysis produces less ATP per glucose than OXPHOS, it maintains bioenergetic flux during oxygen deprivation and generates intermediates for biosynthetic pathways such as the pentose phosphate pathway and fatty acid or amino acid synthesis.
“While glycolysis is less efficient than oxidative phosphorylation (OXPHOS) in generating ATP per molecule of glucose, the switch to glycolysis enables maintained bioenergetic flux during oxygen deprivation, and generates glycolytic intermediates that can be diverted into biosynthetic processes such as the pentose phosphate pathway (PPP) for nucleotide biosynthesis or fatty acid and amino acid”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [39] source
May combine two claims.
PremisecitationNecrosis is common in many tumors and is associated with poor prognosis and increased metastasis risk.
“Necrosis is a common feature of many tumors and is associated with poor prognosis and increased risk of metastasis [28].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] source
May combine two claims.
PremisecitationCombinations of multiple anti-angiogenic agents or anti-angiogenics with immunotherapy or chemotherapy show increased patient benefit and are widely used in many cancers.
“However, combinations of multiple anti-angiogenic agents with complementary pro-angiogenic targets, or of anti-angiogenics with other modalities such as immunotherapy, chemotherapy or other modalities, show increased patient benefit and are now widely used treatment options in many cancer types [35].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] source
The Introduction and the sections on combinations with chemotherapy and immune checkpoint inhibitors report potential or observed benefits across several cancers; the FDA-approved agents section identifies some combinations used in treatment. The paper does not establish that combinations of multiple anti-angiogenic agents are widely used treatment options, and its Conclusion and prospect cautions that toxicity can hinder clinical use and some combinations can reduce chemotherapy’s effects. No page numbers are available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIF-2α-mediated antioxidant gene expression protects pancreatic β-cells from glucotoxicity in obesity, while in breast cancer this reduction in mitochondrial ROS is associated with increased chemoresistance and stem-like properties.
“HIF-2α mediated antioxidant gene expression protects pancreatic β-cells against glucotoxicity in the context of obesity, whereas in breast cancer, this HIF-2α mediated reduction in mitochondrial ROS is associated with increased chemoresistance and stem-like properties [50, 51].”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationMany glucose-metabolism-targeting agents work in preclinical models, but selectivity problems, pathway redundancies, and bypass mechanisms may restrict their effectiveness as single agents in patients.
“While many of these have shown efficacy in pre-clinical models, challenges in achieving selectivity, combined with pathway redundancies and bypass mechanisms may limit their utility as single agents in the clinic [55].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [55] source
May combine two claims.
PremisecitationHIF-1α activation induces less active ETC complex 1 and IV subunits, slowing electron transfer, while both HIF-1α and HIF-2α suppress mitochondrial biogenesis genes such as PGC1β and PINK1.
“In this regard, HIF-1α activation induces expression of less active ETC complex 1 and IV subunits, thus decelerating electron transfer through the ETC, whereas both HIF-1α and HIF-2α drive transcriptional programs that suppress genes involved in mitochondrial biogenesis such as PGC1β and PINK1 [42–44].”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [42] source
- cites [43] source
- cites [44] source
In “Function of HIFs on mitochondrial dysfunction” (page not available), the paper says HIF-1 activates less-active ETC components associated with complexes I and IV, delaying electron transfer. It also describes reduced mitochondrial biogenesis through PGC-1β and PINK1-related pathways, but does not attribute those effects to both HIF-1α and HIF-2α. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationMitochondria undergo metabolic alterations to reduce hypoxia-induced damage, including exchanging or modifying respiratory chain subunits, decreasing OXPHOS, lowering TCA intermediates, adapting ROS production, and reducing fatty acid oxidation.
“Thus, mitochondria undergo a variety of metabolic alterations to reduce hypoxia-induced damage, including by exchanging or modifying subunits of the respiratory chain, decreasing OXPHOS, lowering the TCA cycle intermediates, adapting ROS production, and reducing fatty acid oxidation (FAO) [41].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [41] source
Section 3.1 describes a hypoxia-related shift away from OXPHOS and inhibited expression of respiratory-chain subunits; section 3.2.1 describes inhibition of the TCA cycle. But the paper does not establish that TCA intermediates generally decrease: section 4.3 reports that succinate rises during hypoxia. Nor does the located discussion establish reduced fatty acid oxidation as part of this mitochondrial response; section 4.5 instead discusses increased FAO during a T-cell transition. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationTumor vasculature lacks pericyte and smooth muscle stabilization and lacks arterial or venous phenotype, causing leakage and poor blood flow and perfusion.
“Characteristics of tumor vasculature include lack of stabilization by pericytes and smooth muscle cells and a lack of an arterial or venous phenotype that leads to leakage, poor blood flow and perfusion (Figure 3) [25].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [25] source
May combine two claims.
PremisecitationBecause necrosis is associated with extreme hypoxia, HIF activation is commonly seen in peri-necrotic regions, and necrosis plus peri-necrotic HIF expression is significantly associated with poor prognosis in multiple tumor types.
“Since necrosis is associated with extreme hypoxia, activation of HIF is commonly observed in areas surrounding necrotic regions (peri-necrotic regions), and the presence of necrosis combined with peri-necrotic HIF expression is significantly associated with poor prognosis in multiple tumor types [30, 31].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [30] source
The Results (page unavailable) report HIF-1α staining around necrotic areas and a worse prognosis for patients with perinecrotic expression; the paper also describes this pattern as hypoxia-induced. Its prognostic analysis concerns breast cancer, however, and does not establish the claimed association across multiple tumor types. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [31] source
The Background describes necrosis as a marker of severe hypoxia, and the Results document perinecrotic HIF-1α expression. The Survival analysis results report that necrosis and perinecrotic HIF-1α expression each predicted poorer survival in patients with endometrioid endometrial carcinoma. The paper does not establish a prognostic effect for their combination across multiple tumor types. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDespite promising preclinical and early clinical results, glutamine-metabolism-targeting agents often have limited clinical effectiveness because of resistance from tumor heterogeneity and metabolic plasticity, and because of toxicity to normal tissue.
“However, despite promising results in preclinical and early clinical trials, their clinical effectiveness is often compromised by resistance mechanisms due to tumor heterogeneity and metabolic plasticity, as well as toxicity to normal tissue [63].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [63] source
May combine two claims.
PremisecitationHIF-1α drives degradation of the E1 subunit of α-KG dehydrogenase, reducing α-KG oxidation in the TCA cycle, causing α-KG accumulation and facilitating its reductive carboxylation by IDH.
“HIF-1α also drives the degradation of the E1 subunit of α-KG dehydrogenase, which decreases the oxidation of α-KG in the TCA cycle, leading to accumulation of α-KG and facilitating its reductive carboxylation by IDH [61].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] source
The Results report increased α-ketoglutarate in hypoxic SF188 cells and propose that reduced oxidation through the TCA cycle could help explain increased reductive carboxylation. The Results and Discussion also link HIF1 activity to preferential IDH2-mediated reductive metabolism. Neither section reports that HIF-1α degrades the E1 subunit of α-ketoglutarate dehydrogenase or establishes that degradation as the cause of the metabolic shift. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIF activates the transcriptional repressor MXI1, which inhibits ADK, leading to adenosine accumulation in hypoxic cancer cells.
“Additionally, HIF activates transcriptional repressor MXI1, which inhibits ADK, resulting in adenosine accumulation in hypoxic cancer cells [93].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [93] source
May combine two claims.
PremisecitationLack of HIF-1α or HIF-2α in TAMs decreases metastasis, cell proliferation, and expression of pro-inflammatory cytokines such as IL-6.
“Both HIF-1α or HIF-2α expression in TAMs have been associated with tumor progression and/or poor prognosis in multiple tumor types, whereas lack of HIF-1α or HIF-2α in TAMs decreases metastasis, cell proliferation, and expression of pro-inflammatory cytokines such as IL-6 [73–76].”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [73] source
The Abstract Results associate TAM HIF-1α with increased metastasis, and the Results find inflammatory-response pathways enriched in HIF1A-positive macrophages. The paper does not show that loss of either HIF isoform in TAMs decreases metastasis, cell proliferation, or IL-6 expression; the Discussion also says macrophage-specific HIF-2α was not detected in the kidney tumors examined. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [74] source
The Hypoxia section links HIF activation to tumor progression and describes HIF-related conditions that promote proliferation and metastasis. The IL-6 section links TAM-secreted IL-6 to metastasis. Neither section reports that loss of HIF-1α or HIF-2α in TAMs decreases metastasis, proliferation, or IL-6 expression; no page numbers are available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [75] source
In the section on the syngeneic mouse mammary carcinoma model (page not available), HIF knockdown in breast cancer cells reduced metastasis; HIF-1α knockdown also reduced primary tumor growth. The knockdown was not in TAMs, and the cited passages do not establish reduced cell proliferation or IL-6 expression. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [76] source
The tumor-progression section reports reduced tumor-cell mitosis and compromised progression after myeloid HIF-2α deletion. The cytokine section reports reduced IL-6 secretion from activated HIF-2α-deficient macrophages in vitro, but IL-6 reduction in the tumors is proposed as a possible explanation, not established. The paper does not report reduced metastasis or test HIF-1α deletion in these tumor models; it proposes the latter as future work. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIF-1α activation induces GLS, which promotes the conversion of glutamine to glutamate.
“Additionally, HIF-1α activation promotes the induction of GLS, which promotes the conversion of glutamine to the metabolic intermediate, glutamate [60].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [60] source
The Introduction (page unavailable) says glutaminase participates in the conversion of glutamine toward α-ketoglutarate via glutamate. It does not say HIF-1α induces GLS. The Results section (page unavailable) instead identifies reduced α-ketoglutarate dehydrogenase activity as the effect of HIF stabilization. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIFs transcriptionally activate ENT4, which pumps adenosine into the interstitial space, elevating extracellular adenosine levels associated with immunosuppressive effects.
“The HIFs also transcriptionally activate ENT4, which pumps adenosine into the interstitial space, elevating extracellular adenosine levels, which is associated with immunosuppressive effects [93].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [93] source
May combine two claims.
PremisecitationIn mouse cancer models, inhibiting HIF-1/2α improves the efficacy of anti-PD1 therapy and increases infiltration of cytotoxic immune effector cells.
“Thus, HIF-1/2α inhibition in mouse models of cancer promotes the efficacy of anti-PD1 therapy and increases infiltration of cytotoxic immune effector cells [84–86].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [84] source
- cites [85] source
In the Results and discussion (page unavailable), disrupting HIF-1α activity increased NK- and CD8+ T-cell infiltration in mouse melanoma tumors. Acriflavine improved tumor control when added to anti-PD-1 plus a TRP-2 vaccine. The paper does not show that inhibiting HIF-2α has these effects, or establish the anti-PD-1 benefit without the vaccine; HIF-1β, which the paper discusses, is not HIF-2α. (LLM, conf=0.89)
Experimental — accuracy not yet measured - cites [86] sourceExperimental — accuracy not yet measured
May combine two claims.
PremisecitationBoth HIF-1α and HIF-2α activation upregulates the glutamine transporter SLC38A2, increasing glutamine dependency and correlating with worse survival in breast cancer patients.
“Both HIF-1α and HIF-2α activation promotes the upregulation of the glutamine transporter, SLC38A2, which increases the dependency of cells to glutamine and correlates with poorer survival in patients with breast cancer [58]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [58] source
The paper’s main text (indexed under Abstract; page unavailable) reports that hypoxia increases some cells’ dependence on glutamine and discusses HIF involvement in a switch to reductive glutamine metabolism. It does not report HIF-1α or HIF-2α upregulating SLC38A2, or an association with survival in breast cancer patients. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe HIF-α dependency of PD-L1 is tumor-type dependent: PD-L1 expression is primarily HIF-1α driven in HIF-1α-dominant cancers (CT26 colon carcinoma and 4T1 breast carcinoma models) and HIF-2α-driven in HIF-2α-dominant cancers (ccRCC).
“As seen for the other cancer axes, the HIF-α dependency of PD-L1 is tumor-type dependent, with PD-L1 expression primarily HIF-1α driven in HIF-1α-dominant cancers (such as CT26 colon carcinoma and 4T1 breast carcinoma models) and HIF-2α-driven in HIF-2α-dominant cancers (ccRCC) [81, 83].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [81] source
The Results and Discussion (page unavailable) show that HIF-1α, but not HIF-2α, regulates PD-L1 in MSC-1 myeloid-derived suppressor cells. The Methods list CT26 and 4T1 tumor models, but the copy does not establish HIF-1α dependence in those carcinoma cells or compare tumor types; it does not report HIF-2α-driven PD-L1 in ccRCC. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [83] source
May combine two claims.
PremisecitationThis chemokine-driven recruitment can suppress anti-tumor immunity and induce chronic inflammation, which promotes cancer progression by facilitating tumor cell proliferation, survival, angiogenesis, and metastasis.
“This can result in suppression of the anti-tumor immune response and induce chronic inflammation, which contributes to cancer progression by facilitating tumor cell proliferation, cell survival, angiogenesis and metastasis [68].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [68] source
May combine two claims.
PremisecitationLactate enhances cancer-associated fibroblast proliferation and stimulates CAF-mediated IL-6 expression, which suppresses cytotoxic immune cell activity synergistically with lactate.
“Lactate also enhances cancer-associated fibroblast (CAF) proliferation and stimulates CAF-mediated IL-6 expression, which suppresses cytotoxic immune cell activity synergistically with lactate [89].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [89] source
The Introduction and Discussion (page numbers not provided) say that lactate supports CAF growth in the glucose-deprived pancreatic cancer microenvironment. The Results report increased IL-6 production by lactate-stimulated CAFs and reduced cytotoxic-lymphocyte activity when lactate and IL-6 were combined. The claim omits the glucose-deprived pancreatic-cancer setting that bounds the reported CAF growth finding. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationNeutralizing antibodies against PD-1/PD-L1 or CTLA4 restore cytotoxic T-cell activity, inducing T-cell-mediated tumor cell destruction, and have transformed cancer treatment.
“Neutralizing antibodies for the PD-1/PD-L1 interaction or for CTLA4 restores the cytotoxic activity of T-cells, which induces T-cell mediated tumor cell destruction, and have transformed the cancer treatment landscape (Table 1) [82].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [82] source
Section 4.3 states that PD-1/PD-L1 blocking antibodies enhance T-cell-mediated antitumor responses and generate cytotoxic T cells capable of killing tumor cells. The Introduction describes checkpoint inhibitors as important to cancer immunotherapy, but the passages on anti-CTLA-4 in Section 8.2 and the Conclusion discuss T-cell infiltration and treatment response, not restoration of cytotoxic activity by anti-CTLA-4 antibodies specifically. The claim's mechanism is therefore supported for PD-1/PD-L1 blockade but not fully for CTLA-4 blockade. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIndependent of glycolysis, HIFs induce immunosuppressive metabolites such as adenosine by transcriptionally activating ectoenzymes ENTPD2/CD39L1, CD39, and CD73, which convert extracellular ATP to adenosine, promoting MDSC maintenance and limiting immune checkpoint inhibitor activity.
“Independent of glycolysis, the HIFs can induce the production of immunosuppressive metabolites such as adenosine by transcriptionally activating ectoenzymes such as ENTPD2/CD39L1, CD39, and CD73 (Table 1), which contribute to the multistep conversion of extracellular ATP through ADP/AMP to adenosine, thus promoting the maintenance of MDSCs, which limits the activity of immune checkpoint inhibitors”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [90] source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [91] source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [92] source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIFs promote lipid uptake and lipid droplet formation while decreasing β-oxidation, increasing the cellular fatty acid pool available for energy or other uses that facilitate tumor proliferation.
“In addition to promoting lipid synthesis, the HIFs also directly promote lipid uptake and lipid droplet formation, while decreasing β-oxidation (see section on mitochondria), which increases the cellular fatty acid pool that can be utilized as an energy source or channeled to other uses to facilitate tumor proliferation.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [57] source
The Abstract links hypoxia-related glutamine metabolism to lipid biosynthesis and proliferation, but does not address lipid uptake, lipid droplets, or β-oxidation. Searches for those processes and for a fatty-acid pool found no passage in our copy supporting the attributed claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationHIF-1α depletion in tumor-infiltrating neutrophils can reverse their pro-tumorigenic phenotype and reduce tumor burden.
“Besides TAMs, HIF-1α is also known to promote the inflammatory response by promoting neutrophil survival, whereas HIF-1α depletion in tumor-infiltrating neutrophils can reverse their pro-tumorigenic phenotype, reducing tumor burden [78, 79].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [78] source
- cites [79] source
The Results section reports that HIF-1α-deficient murine bone marrow neutrophils survive less well under anoxic conditions. Our copy does not address tumor-infiltrating neutrophils, reversal of a pro-tumorigenic phenotype, or tumor burden; searches for those terms found no relevant passage. (LLM, conf=0.77)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationTargeting glutamine dependency in cancer cells is a promising therapeutic strategy, and many agents against various steps of glutamine metabolism are in development.
“Targeting the glutamine dependency of cancer cells is a promising therapeutic strategy for cancer and many agents targeting various steps of glutamine metabolism are currently in development [63].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [63] source
May combine two claims.
PremisecitationHIF activation in solid tumors causes release of chemokines that recruit immunosuppressive cells such as TAMs, MDSCs, and Tregs, which can limit the anti-tumor activity of Natural Killer and CD8+ T cells.
“HIF activation within solid tumors leads to the release of chemokines that promote the recruitment of immunosuppressive cell types such as tumor-associated macrophages (TAMs), myeloid-derived suppressor cells (MDSCs), and regulatory T cell (Treg) cells, which can limit the anti-tumor activity of Natural Killer and CD8 + T cells (Figure 1) [67].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [67] source
Section 6.2 (page unavailable) links tumor hypoxia and HIF-1α to MDSC accumulation and Treg activity at the tumor site. Section 2.2 (page unavailable) identifies TAMs, MDSCs, and Tregs as immunosuppressive tumor components and says MDSCs suppress cytotoxic T-cell and NK-cell activity. Neither passage establishes the claimed mechanism of HIF-triggered chemokine release recruiting all three cell types, including TAMs. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationTAMs accumulate in hypoxic areas and the tumor microenvironment through HIF-1α activation, which promotes their adaptation to hypoxia.
“For example, TAMs accumulate in hypoxic areas and the TME through HIF-1α activation, promoting TAM adaptation to hypoxia [2, 72].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [2] source
- cites [72] source
The Macrophages section (page unavailable) says TAMs accumulate in hypoxic tumor regions, where they upregulate HIF-1α and HIF-2α. It does not say HIF-1α activation causes that accumulation or establishes that it promotes TAM adaptation to hypoxia; the Mini Review section instead links TAM migration in the models discussed to HIF-2α. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationARO-HIF2, an siRNA drug selectively targeting HIF-2α, is under clinical investigation, but Phase I results showed low response rates and off-target neurotoxicity.
“ARO-HIF2, an siRNA drug that selectively targets HIF-2α is also under clinical investigation, but Phase I results showed low response rates and off-target neurotoxicity [109].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [109] source
May combine two claims.
PremisecitationNKT2152 and Casdatifan are HIF-2α inhibitors in clinical trials with promising results, but it remains unclear whether they will provide additional benefit over belzutifan.
“Similarly promising results were obtained with other small molecule inhibitors of HIF-2α currently undergoing clinical trials: NKT2152 (NCT05119335) and Casdatifan (NCT05536141) and it remains unclear whether these new agents will provide additional benefit above that of belzutifan [107, 108].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [107] source
The Abstract (p. S12) identifies NKT2152 as a HIF-2α inhibitor and describes its ongoing Phase 1/2 trial (NCT05119335). It reports promising activity only in preclinical models, not clinical results, and does not address Casdatifan or whether either agent offers additional benefit over belzutifan. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [108] source
The Background and Methods (TPS4602, p. 1) identify AB521 as a HIF-2α inhibitor being studied in phase 1 trial NCT05536141, the trial number the citing sentence assigns to Casdatifan. This is a study description, not a report of promising clinical results. It does not address NKT2152 or whether either agent offers additional benefit over belzutifan. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationNo pharmacological agents specifically targeting HIF-1α have been described, although compounds targeting HIF-1α mRNA expression, protein synthesis/stabilization, and dimerization have been identified.
“Unlike HIF-2α, no pharmacological agents that specifically target HIF-1α have been described, although a number of compounds which target HIF-1α mRNA expression, protein synthesis/stabilization and dimerization, have been identified [110].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [110] source
Section 4.1 describes compounds affecting HIFα mRNA expression, protein synthesis, stability, and heterodimerization, and contrasts them with a selective HIF-2 inhibitor. But the categorical claim that no agent specifically targets HIF-1α overstates the review: section 4.1.1 identifies YC-1 as specifically inhibiting HIF-1, but not HIF-2, expression in macrophages, and section 4.2 describes a peptide that binds HIF-1α but not HIF-2α. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAgents targeting HIFs have typically done so indirectly and non-specifically, including by inhibiting other targets that affect HIF synthesis, stability, or transcriptional activity, or by interfering with cellular iron metabolism, which blocks HIF translation and induces ferroptosis.
“Consequently, agents that target HIFs have typically targeting them indirectly and non-specifically, including by inhibiting other targets that impact HIF synthesis, stability or transcriptional activity [95], or by interfering with cellular iron metabolism, which blocks HIF translation and induces ferroptosis, a form of cell death associated with iron-dependent lipid peroxidation [24].”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSince HIF-1α was discovered in 1991 and HIF-2α in 1997, the importance of the HIF pathway in oxygen sensing was affirmed by the 2019 Nobel Prize and by FDA approval of belzutifan in 2021.
“Since the discovery of HIF-1α in 1991, and of HIF-2α in 1997, the significance of the HIF pathway in oxygen sensing has been affirmed by the awarding of the 2019 Nobel Prize in Physiology and Medicine for the discovery of HIF, followed by the FDA approval of belzutifan in 2021 [111, 112].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [111] source
The “Hypoxia in the patient setting” section says the 2019 Nobel Prize honored research into how cells sense and respond to oxygen, supporting the Nobel Prize portion of the claim. The paper does not give the stated 1991 and 1997 discovery dates or report FDA approval of belzutifan in 2021; it describes HIF-2α inhibitors as investigational. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [112] source
The Abstract and Introduction (page not provided) state that the FDA approved belzutifan, a HIF inhibitor, in August 2021. The passages do not give the 1991 and 1997 discovery dates or discuss the 2019 Nobel Prize; those parts of the sentence are not supported by this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisereasoningTumor hypoxia fluctuates in intensity and duration and includes reoxygenation cycles with oxidative stress that can damage DNA.
“This results in fluctuating intensities and durations of hypoxia combined with cycles of reoxygenation (and associated oxidative stress that can induce DNA damage) that reflect proliferative and vascular variations throughout the tumor mass.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationHIF transcription factors are heterodimeric bHLH-PAS proteins with oxygen-labile HIF-α subunits and a constitutive HIF-1β subunit.
“The HIF transcription factors belong to the bHLH-PAS family of heterodimeric transcription factors. They comprise one of three major oxygen labile HIF-α subunits (HIF-1α, HIF-2α, and HIF-3α), and a constitutive HIF-1β subunit (also known as ARNT) [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] source
May combine two claims.
PremisecitationUnder oxygen above about 5%, PHDs hydroxylate HIF-α in an iron- and oxygen-dependent manner, leading pVHL polyubiquitination and proteasomal degradation.
“In the presence of oxygen (typically > 5% O2), the HIF-α subunit is hydroxylated by PHDs in an iron and oxygen dependent manner, which leads to HIF-α polyubiquitination by pVHL, targeting HIF-α for proteasomal degradation (Figure 2) [8].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] source
May combine two claims.
PremisereasoningHIFs drive transcriptional changes that alter major cancer signaling axes and promote tumor progression.
“Specifically, the HIFs drive transcriptional changes that drive substantial alterations within major cancer cell signaling axes (the HIF axes) that facilitate tumor progression (Figure 1).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationHIF-1α and HIF-2α have largely similar regulation and both overlapping and unique target genes depending on tissue context.
“HIF-1α and HIF-2α show largely similar mechanisms of regulation with both overlapping and unique target genes depending on tissue context [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] source
May combine two claims.
InterpretationreasoningBecause HIF activation drives tumor progression and is rarely expressed in normal non-ischemic tissue, targeting HIFs and downstream mediators is an attractive cancer therapy strategy.
“Since HIF activation is a central driver of tumor progression but yet is rarely expressed in normal, non-ischemic tissue, targeting HIFs and their downstream mediators represents an attractive therapeutic strategy for cancer.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationHypoxia-mediated HIF activation normally drives beneficial adaptive responses needed for wound healing, inflammation resolution, and development, but tumor cells exploit this response via hypoxia-dependent or independent HIF activation.
“Although hypoxia-mediated HIF activation typically drives a physiologically beneficial adaptive response to hypoxia, which is required for wound healing, resolution of inflammation, and a variety of developmental processes, this physiological response is exploited by tumor cells through hypoxia-dependent or independent HIF activation [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] source
May combine two claims.
PremisereasoningMetabolic rewiring supplies building blocks for nucleic acids, lipids, and proteins to support proliferative tumor cells and is a tightly regulated state, not merely a response to dysfunctional mitochondria as Warburg initially proposed.
“This rewiring of metabolic pathways also supplies building blocks for nucleic acids, lipids and protein synthesis, which supports the increased biosynthetic demand of proliferative tumor cells, and is thus a tightly regulated metabolic state rather than an adaptive response to dysfunctional mitochondria as initially proposed by Warburg.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenVEGFA/VEGFR interaction is considered a key regulator of angiogenesis and an important target for anti-angiogenic drugs.
“Despite the plethora of other signaling mediators in the regulation of angiogenesis, the VEGFA/VEGFR interaction is considered a key regulator (Table 1), and an important target for anti-angiogenic drugs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Table 1
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Premisenone givenNecrosis is associated with increased proliferation and genomic instability in surrounding tissues, which may contribute to tumor progression and patient morbidity.
“Additionally, necrosis is typically associated with increased proliferation and genomic instability in the surrounding tissues, which may also contribute to tumor progression and patient morbidity.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningHIF-mediated angiogenesis can promote reperfusion in some tumor regions but can also paradoxically create profound hypoxia and nutrient limitation due to defective vasculature.
“Thus, HIF-mediated angiogenesis, while promoting reperfusion in some tumor regions, can also paradoxically generate regions of profound hypoxia and nutrient limitation due to uneven or defective vasculature.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationUneven tumor blood flow creates chronic or intermittent hypoxia, enhanced permeability, increased interstitial pressure, vessel compression, and poor perfusion that hampers drug delivery.
“This results in uneven blood flow within the tumor, generating regions of chronic or intermittent hypoxia and regions of enhanced permeability and increased interstitial pressure, which can result in compression of tumor vessels and poor vascular perfusion, hampering drug delivery [27].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFDG-PET imaging is widely used in clinical practice for tumor staging, prognosis, and monitoring treatment response.
“PET imaging of 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) uptake is widely used clinically for tumor staging, prognosis and treatment monitoring [52].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] source
May combine two claims.
InterpretationreasoningThe effects of HIFs on mitochondrial metabolism and biogenesis support the hypoxia/HIF-mediated shift to glycolysis while reducing damaging mitochondrial ROS.
“In general, the effects of the HIFs in modulating mitochondrial metabolism and biogenesis further support the hypoxia- and HIF-mediated metabolic shift to glycolysis, while reducing the production of damaging mitochondrial ROS.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningAnti-angiogenic agents have shown impressive preclinical activity but are largely ineffective as single agents because their effects are primarily cytostatic.
“However, despite impressive activity in preclinical models, anti-angiogenic agents have proven largely ineffective as single agents due to their primarily cytostatic effects (as opposed to cytotoxic effects).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAcetyl-CoA fuels the TCA cycle, generating lipid synthesis intermediates and electron carriers such as NADH for ATP production via the mitochondrial ETC.
“Acetyl-CoA fuels the tricarboxylic acid (TCA) cycle that generates intermediates that drive lipid synthesis, as well as generates electron carriers (eg. NADH) to fuel ATP production through the mitochondrial electron transport chain (ETC) [37].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] source
May combine two claims.
PremisecitationHIF-1α induces CCL26, which enhances Treg recruitment into ovarian tumors.
“For example, both HIF-1α and HIF-2α induce the production of CCL28, which promotes the recruitment of MDSCs into hepatocellular tumors, whereas HIF-1α induces production of CCL26 that enhances recruitment of Tregs into ovarian tumors (Table 1) [69, 70].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationHypoxia-induced immune modulation in the tumor microenvironment promotes tumor progression by producing cytokines that enhance tumor growth and by recruiting fibroblasts and other stromal cells with tumor-supporting functions.
“Hypoxia-induced immune modulation within the TME influences tumor progression through the production of cytokines that enhance tumor growth, as well as through the recruitment of fibroblasts and other stromal cells that exert tumor-supporting functions [65].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65] source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningCombining glucose-metabolism-targeting agents with existing therapies may improve cancer treatment outcomes in the future.
“Nevertheless, the combination of these novel agents with existing treatments may provide more effective cancer treatment outcomes in the future.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationHIF-1α deficiency reduces macrophage motility and aggregation in the extracellular matrix, suggesting that HIF inhibition could reduce TAM recruitment in cancer.
“Furthermore, HIF-1α deficiency leads to reduced macrophage motility and aggregation in the extracellular matrix, suggesting that HIF inhibition could reduce TAM recruitment in cancer [77].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] source
May combine two claims.
InterpretationreasoningHIF stabilization promotes the reductive TCA cycle at multiple levels, sustaining the cycle when glucose-derived pyruvate is scarce and supplying intermediates for macromolecular synthesis.
“HIF stabilization promotes the reductive cycle at multiple levels, fueling the TCA cycle in the absence of glucose-derived pyruvate, thus providing key metabolic intermediates required for macromolecular synthesis.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningUnlike wound healing that resolves, cancer cells have persistent oncogene-derived stress, including increased cell death and cytokine production, which drive a feed-forward loop of inflammation-induced signaling and immune modulation that promotes tumor progression.
“In contrast to physiological wound-healing responses that resolve after tissue restoration, cancer cells present with persisting oncogene-derived stress, which include increased cell death and cytokine production that contribute to a feed-forward loop of inflammation-induced signaling and immune modulation that contribute to tumor progression.”
Quote in the paperSubstantial claim- Rests on an assumption: Cancer cells have persisting oncogene-derived stress that includes increased cell death and cytokine production.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningImproving potency and selectivity of glutamine-metabolism-targeting agents, and combining therapies that hit multiple metabolic pathways, may be needed to realize their full therapeutic potential.
“Future efforts in improving their potency and selectivity, as well as the inclusion of combination therapies targeting multiple metabolic pathways may be required to fully realize their potential as a therapeutic strategy for cancer.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenAs transcription factors, HIFs were until very recently considered undruggable.
“However, as transcription factors, they were, until very recently, considered undruggable.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe main challenge ahead is to identify novel, non-redundant targets and/or new combination strategies that can address acquired resistance and improve treatment outcomes.
“While the field continues to advance with the development of improved agents that impact previously validated targets, the challenge ahead lies in the identification of novel, non-redundant targets and/or new combination strategies that can address issues of acquired resistance and improve treatment outcomes (see Outstanding questions).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAcquired resistance from prolonged treatment with HIF-2α inhibitors was observed in a preclinical study, suggesting that resistance is possible with long-term clinical use of belzutifan.
“Acquired resistance from prolonged treatment with HIF-2α inhibitors was also observed in a previous preclinical study suggesting that resistance is possible with long term use of clinical use of belzutifan [105].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [105] source
May combine two claims.
PremisecitationBelzutifan showed good tolerability and efficacy in heavily pretreated patients with metastatic renal cell carcinoma, leading to its approval for advanced RCC.
“Belzutifan has also demonstrated good tolerability and efficacy in heavily pretreated patients with metastatic renal cell carcinoma (RCC) (most commonly noted adverse events were anemia, fatigue, dizziness, and hypoxia), which led to its approval for treatment of advanced RCC [98, 99].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [98]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [99] source
May combine two claims.
InterpretationreasoningThe clinical success of belzutifan has transformed the treatment landscape for RCC patients and is likely to advance treatment options for other HIF-2α-driven tumor types.
“The clinical success of belzutifan has transformed the treatment landscape of patients with RCC and is poised to considerably advance treatment options for patients with other HIF-2α-driven tumor types.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationBelzutifan, the most advanced HIF-2α inhibitor, showed significant efficacy in VHL disease-related renal cell carcinomas, hemangioblastomas, and pancreatic neuroendocrine tumors, and received FDA approval for VHL-disease-related cancers.
“The most advanced of these inhibitors to date, belzutifan, demonstrated significant efficacy in VHL disease-related renal cell carcinomas, hemangioblastomas, and pancreatic neuroendocrine tumors, and received FDA approval for the treatment of patients with VHL-disease-related cancers [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningBecause HIF-1α and HIF-2α may be redundant and HIF-1α is more widely expressed in solid tumors, selectively inhibiting HIF-1α in HIF-1α-driven tumors or inhibiting both HIF-1α and HIF-2α is likely to further improve patient benefit.
“However, based on the potential redundancy between HIF-1α and HIF-2α, and the more widespread expression of HIF-1α within solid tumors, the selective inhibition of HIF-1α in HIF-1α-driven tumor types or the dual inhibition of both HIF-1α and HIF-2α, are likely to further enhance patient benefit.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: HIF-1α and HIF-2α have redundant functions in tumor progression.
- Rests on an assumption: HIF-1α is more widely expressed within solid tumors than HIF-2α.
May combine two claims.
InterpretationreasoningHIF-driven adaptation to hypoxia promotes tumor progression by altering three major axes of cancer signaling-angiogenesis, metabolism, and immune modulation-which together play a central role in tumor progression and response to therapy.
“The HIF-driven adaptation to hypoxia facilitates tumor progression by profoundly alterating three major axes of cancer signaling: angiogensis, metabolism and immune modulation that together play a centrol role in tumor progression and response to therapy.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
HIF-1α and HIF-2α have redundant functions in tumor progression.
“based on the potential redundancy between HIF-1α and HIF-2α”
The paper relies on this without support.
HIF-1α is more widely expressed within solid tumors than HIF-2α.
“the more widespread expression of HIF-1α within solid tumors”
The paper relies on this without support.
Cancer cells have persisting oncogene-derived stress that includes increased cell death and cytokine production.
“cancer cells present with persisting oncogene-derived stress, which include increased cell death and cytokine production”
Cites
Patterns and emerging mechanisms of the angiogenic switch during tumorigenesis
Hanahan, D., & Folkman, J. (1996) · Cell · doi:10.1016/s0092-8674(00)80108-7 · Cited by 6,885 · see citing works
Targeting HIF-1 for cancer therapy
Semenza, G. L. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1187 · Cited by 6,717 · see citing works
Kim, J.-W., Tchernyshyov, I., Semenza, G. L., & Dang, C. V. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.02.002 · Cited by 3,905 · see citing works
Inflammation and cancer: triggers, mechanisms, and consequences
Greten, F. R., & Grivennikov, S. I. (2019) · Immunity · doi:10.1016/j.immuni.2019.06.025 · Cited by 3,806 · see citing works
Mitochondrial TCA cycle metabolites control physiology and disease
Martínez-Reyes, I., & Chandel, N. S. (2020) · Nature Communications · doi:10.1038/s41467-019-13668-3 · Cited by 2,813 · see citing works
Hypoxia-inducible factors and the response to hypoxic stress
Majmundar, A. J., Wong, W. J., & Simon, M. C. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.022 · Cited by 2,380 · see citing works
Noman, M. Z., Desantis, G., Janji, B., Hasmim, M., Karray, S., Dessen, P., Bronte, V., & Chouaib, S. (2014) · Journal of Experimental Medicine · doi:10.1084/jem.20131916 · Cited by 2,166 · see citing works
Eltzschig, H. K., & Carmeliet, P. (2011) · New England Journal of Medicine · doi:10.1056/nejmra0910283 · Cited by 2,061 · see citing works
HIF-1α is essential for myeloid cell-mediated inflammation
Cramer, T., Yamanishi, Y., Clausen, B. E., Förster, I., Pawlinski, R., Mackman, N., Haase, V. H., Jaenisch, R., Corr, M., Nizet, V., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00154-5 · Cited by 2,046 · see citing works
Inhibitory effect of tumor cell-derived lactic acid on human T cells
Fischer, K., Hoffmann, P., Voelkl, S., Meidenbauer, N., Ammer, J., Edinger, M., Gottfried, E., Schwarz, S., Rothe, G., Hoves, S., et al. (2007) · Blood · doi:10.1182/blood-2006-07-035972 · Cited by 1,946 · see citing works
Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
Metallo, C. M., Gameiro, P. A., Bell, E. L., Mattaini, K. R., Yang, J., Hiller, K., Jewell, C. M., Johnson, Z. R., Irvine, D. J., Guarente, L., et al. (2012) · Nature · doi:10.1038/nature10602 · Cited by 1,791 · see citing works
Semenza, G. L., Jiang, B.-H., Leung, S. W., Passantino, R., Concordet, J.-P., Maire, P., & Giallongo, A. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.51.32529 · Cited by 1,752 · see citing works
NF-κB links innate immunity to the hypoxic response through transcriptional regulation of HIF-1α
Rius, J., Guma, M., Schachtrup, C., Akassoglou, K., Zinkernagel, A. S., Nizet, V., Johnson, R. S., Haddad, G. G., & Karin, M. (2008) · Nature · doi:10.1038/nature06905 · Cited by 1,614 · see citing works
Hypoxic microenvironment in cancer: molecular mechanisms and therapeutic interventions
Chen, Z., Han, F., Du, Y., Shi, H., & Zhou, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01332-8 · Cited by 1,612 · see citing works
Ohh, M., Park, C. W., Ivan, M., Hoffman, M. A., Kim, T.-Y., Huang, L. E., Pavletich, N., Chau, V., & Kaelin, W. G. (2000) · Nature Cell Biology · doi:10.1038/35017054 · Cited by 1,577 · see citing works
The hallmarks of cancer metabolism: still emerging
Pavlova, N. N., Zhu, J., & Thompson, C. B. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.01.007 · Cited by 1,418 · see citing works
Differential Roles of Hypoxia-Inducible Factor 1α (HIF-1α) and HIF-2α in Hypoxic Gene Regulation
Hu, C.-J., Wang, L.-Y., Chodosh, L. A., Keith, B., & Simon, M. C. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.24.9361-9374.2003 · Cited by 1,386 · see citing works
Tumour hypoxia promotes tolerance and angiogenesis via CCL28 and Treg cells
Facciabene, A., Peng, X., Hagemann, I. S., Balint, K., Barchetti, A., Wang, L.-P., Gimotty, P. A., Gilks, C. B., Lal, P., Zhang, L., et al. (2011) · Nature · doi:10.1038/nature10169 · Cited by 1,376 · see citing works
Regulation of glycolysis by the hypoxia-inducible factor (HIF): Implications for cellular physiology
Kierans, S. J., & Taylor, C. T. (2021) · The Journal of Physiology · doi:10.1113/jp280572 · Cited by 1,015 · see citing works
Wise, D. R., Ward, P. S., Shay, J. E. S., Cross, J. R., Gruber, J. J., Sachdeva, U. M., Platt, J. M., DeMatteo, R. G., Simon, M. C., & Thompson, C. B. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117773108 · Cited by 975 · see citing works
Ullah, M. S., Davies, A. J., & Halestrap, A. P. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m511397200 · Cited by 894 · see citing works
Kumagai, S., Koyama, S., Itahashi, K., Tanegashima, T., Lin, Y.-T., Togashi, Y., Kamada, T., Irie, T., Okumura, G., Kono, H., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.01.001 · Cited by 892 · see citing works
Hypoxia-induced neutrophil survival is mediated by HIF-1α–dependent NF-κB activity
Walmsley, S. R., Print, C., Farahi, N., Peyssonnaux, C., Johnson, R. S., Cramer, T., Sobolewski, A., Condliffe, A. M., Cowburn, A. S., Johnson, N., et al. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20040624 · Cited by 891 · see citing works
Zhang, H., Gao, P., Fukuda, R., Kumar, G., Krishnamachary, B., Zeller, K. I., Dang, C. V., & Semenza, G. L. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.04.001 · Cited by 885 · see citing works
Pollard, P. J., Brière, J. J., Alam, N. A., Barwell, J., Barclay, E., Wortham, N. C., Hunt, T., Mitchell, M., Olpin, S., Moat, S. J., et al. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi227 · Cited by 865 · see citing works
Cancer cells compress intratumour vessels
Padera, T. P., Stoll, B. R., Tooredman, J. B., Capen, D., Tomaso, E. D., & Jain, R. K. (2004) · Nature · doi:10.1038/427695a · Cited by 857 · see citing works
Regulation of glut1 mRNA by Hypoxia-inducible Factor-1
Chen, C., Pore, N., Behrooz, A., Ismail‐Beigi, F., & Maity, A. M. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m010144200 · Cited by 768 · see citing works
The role of HIF in immunity and inflammation
McGettrick, A. F., & O’Neill, L. A. J. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.08.002 · Cited by 768 · see citing works
Holmquist-Mengelbier, L., Fredlund, E., Löfstedt, T., Noguera, R., Navarro, S., Nilsson, H., Pietras, A., Vallon-Christersson, J., Borg, Å., Gradin, K., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.08.026 · Cited by 735 · see citing works
Regulation of hypoxia-inducible factor-1α by NF-κB
van Uden, P., Kenneth, N. S., & Rocha, S. (2008) · Biochemical Journal · doi:10.1042/bj20080476 · Cited by 729 · see citing works
Belzutifan for Renal Cell Carcinoma in von Hippel–Lindau Disease
Jonasch, E., Donskov, F., Iliopoulos, O., Rathmell, W. K., Narayan, V. K., Maughan, B. L., Oudard, S., Else, T., Maranchie, J. K., Welsh, S. J., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2103425 · Cited by 714 · see citing works
Hypoxia-inducible factors enhance the effector responses of CD8(+) T cells to persistent antigen
Doedens, A. L., Phan, A. T., Stradner, M. H., Fujimoto, J. K., Nguyen, J. V., Yang, E., Johnson, R. S., & Goldrath, A. W. (2013) · Nature Immunology · doi:10.1038/ni.2714 · Cited by 660 · see citing works
Zimna, A., & Kurpisz, M. (2015) · BioMed Research International · doi:10.1155/2015/549412 · Cited by 604 · see citing works
Passing the baton: the HIF switch
Koh, M. Y., & Powis, G. (2012) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2012.06.004 · Cited by 589 · see citing works
Self-citationThe effect of HIF on metabolism and immunity
Taylor, C. T., & Scholz, C. C. (2022) · Nature Reviews Nephrology · doi:10.1038/s41581-022-00587-8 · Cited by 517 · see citing works
HIF-2α, but not HIF-1α, promotes iron absorption in mice
Mastrogiannaki, M., Matak, P., Keith, B., Simon, M. C., Vaulont, S., & Peyssonnaux, C. (2009) · Journal of Clinical Investigation · doi:10.1172/jci38499 · Cited by 502 · see citing works
Hypoxia signaling in human health and diseases: implications and prospects for therapeutics
Luo, Z., Tian, M., Yang, G., Tan, Q., Chen, Y., Li, G., Zhang, Q., Li, Y., Wan, P., & Wu, J. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01080-1 · Cited by 499 · see citing works
HIF drives lipid deposition and cancer in ccRCC via repression of fatty acid metabolism
Du, W., Zhang, L., Brett-Morris, A., Aguila, B., Kerner, J., Hoppel, C. L., Puchowicz, M., Serra, D., Herrero, L., Rini, B. I., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01965-8 · Cited by 468 · see citing works
Imtiyaz, H. Z., Williams, E. P., Hickey, M. M., Patel, S. A., Durham, A. C., Yuan, L.-J., Hammond, R., Gimotty, P. A., Keith, B., & Simon, M. C. (2010) · Journal of Clinical Investigation · doi:10.1172/jci39506 · Cited by 461 · see citing works
Tumor glycolysis, an essential sweet tooth of tumor cells
Paul, S., Ghosh, S., & Kumar, S. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.09.007 · Cited by 449 · see citing works
Chiu, D. K.-C., Tse, A. P.-W., Xu, I. M.-J., Di Cui, J., Lai, R. K.-H., Li, L. L., Koh, H.-Y., Tsang, F. H.-C., Wei, L. L., Wong, C.-M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00530-7 · Cited by 448 · see citing works
Anti-angiogenic therapy: current challenges and future perspectives
Lopes-Coelho, F., Martins, F., Pereira, S. A., & Serpa, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22073765 · Cited by 416 · see citing works
HIF-1α-BNIP3-mediated mitophagy in tubular cells protects against renal ischemia/reperfusion injury
Fu, Z.-J., Wang, Z.-Y., Xu, L., Chen, X.-H., Li, X.-X., Liao, W.-T., Ma, H.-K., Jiang, M.-D., Xu, T.-T., Xu, J., et al. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101671 · Cited by 382 · see citing works
Huang, D., Li, T., Li, X., Zhang, L., Sun, L., He, X., Zhong, X., Jia, D., Song, L., Semenza, G. L., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.08.028 · Cited by 352 · see citing works
Carroll, V. A., & Ashcroft, M. A. (2006) · Cancer Research · doi:10.1158/0008-5472.can-05-2519 · Cited by 352 · see citing works
Sun, R. C., & Denko, N. C. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2013.11.022 · Cited by 344 · see citing works
Hypoxia-inducible factor 2 regulates hepatic lipid metabolism
Rankin, E. B., Rha, J., Selak, M. A., Unger, T. L., Keith, B., Liu, Q., & Haase, V. H. (2009) · Molecular and Cellular Biology · doi:10.1128/mcb.00200-09 · Cited by 338 · see citing works
Hypoxia-inducible factors and the regulation of lipid metabolism
Mylonis, I., Simos, G., & Paraskeva, E. (2019) · Cells · doi:10.3390/cells8030214 · Cited by 316 · see citing works
Allosteric inhibition of hypoxia inducible factor-2 with small molecules
Scheuermann, T. H., Li, Q., Ma, H.-W., Key, J., Zhang, L., Chen, R., Garcia, J. A., Naidoo, J., Longgood, J., Frantz, D. E., et al. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1185 · Cited by 315 · see citing works
Overcoming resistance to tumor-targeted and immune-targeted therapies
Aldea, M., Andre, F., Marabelle, A., Dogan, S., Barlesi, F., & Soria, J.-C. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1638 · Cited by 311 · see citing works
Li, J., Wang, L., Chen, X., Li, L., Li, Y., Ping, Y., Huang, L., Yue, D., Zhang, Z., Wang, F., et al. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1320011 · Cited by 299 · see citing works
Haist, M., Stege, H., Grabbe, S., & Bros, M. (2021) · Cancers · doi:10.3390/cancers13020210 · Cited by 295 · see citing works
(2001) · PubMed · Cited by 270 · see citing works
Hypoxia-inducible factor 3 biology: complexities and emerging themes
Duan, C. (2016) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00315.2015 · Cited by 269 · see citing works
Hypoxia drives CD39-dependent suppressor function in exhausted T cells to limit antitumor immunity
Vignali, P. D. A., DePeaux, K., Watson, M. J., Ye, C., Ford, B. R., Lontos, K., McGaa, N. K., Scharping, N. E., Menk, A. V., Robson, S. C., et al. (2023) · Nature Immunology · doi:10.1038/s41590-022-01379-9 · Cited by 269 · see citing works
Revisiting the HIF switch in the tumor and its immune microenvironment.
Cowman, S. J., & Koh, M. Y. (2022) · Trends in Cancer · doi:10.1016/j.trecan.2021.10.004 · Cited by 256 · see citing works
Self-citationChiu, D. K., Xu, I. M., Lai, R. K., Tse, A. P., Wei, L. L., Koh, H., Li, L. L., Lee, D., Lo, R. C., Wong, C., et al. (2016) · Hepatology · doi:10.1002/hep.28655 · Cited by 241 · see citing works
Anti-VEGF therapies in the clinic
Meadows, K. L., & Hurwitz, H. I. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006577 · Cited by 237 · see citing works
Vleugel, M. M., Greijer, A. E., Shvarts, A., van der Groep, P., van Berkel, M., Aarbodem, Y., van Tinteren, H., Harris, A. L., van Diest, P. J., & van der Wall, E. (2005) · Journal of Clinical Pathology · doi:10.1136/jcp.2004.019885 · Cited by 227 · see citing works
Chaturvedi, P., Gilkes, D. M., Takano, N., & Semenza, G. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1406655111 · Cited by 226 · see citing works
Schito, L., Rey, S., Tafani, M., Zhang, H., Wong, C. C.-L., Russo, A., Russo, M. A., & Semenza, G. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214019109 · Cited by 224 · see citing works
Simon, M., Tournaire, R., & Pouysségur, J. (2008) · Journal of Cellular Physiology · doi:10.1002/jcp.21558 · Cited by 220 · see citing works
Hypoxia-inducible factors: a central link between inflammation and cancer
Triner, D., & Shah, Y. M. (2016) · Journal of Clinical Investigation · doi:10.1172/jci84430 · Cited by 199 · see citing works
Cancer combination therapies by angiogenesis inhibitors; a comprehensive review
Ansari, M. J., Bokov, D., Markov, A., Jalil, A. T., Shalaby, M. N., Suksatan, W., Chupradit, S., AL-Ghamdi, H. S., Shomali, N., Zamani, A., et al. (2022) · Cell Communication and Signaling · doi:10.1186/s12964-022-00838-y · Cited by 197 · see citing works
Kung-Chun Chiu, D., Pui-Wah Tse, A., Law, C.-T., Ming-Jing Xu, I., Lee, D., Chen, M., Kit-Ho Lai, R., Wai-Hin Yuen, V., Wing-Sum Cheu, J., Wai-Hung Ho, D., et al. (2019) · Cell Death & Disease · doi:10.1038/s41419-019-2155-3 · Cited by 192 · see citing works
Zimmer, M., Ebert, B. L., Neil, C., Brenner, K., Papaioannou, I., Melas, A., Tolliday, N., Lamb, J., Pantopoulos, K., Golub, T., et al. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.12.004 · Cited by 191 · see citing works
Courtney, K. D., Ma, Y., Diaz de Leon, A., Christie, A., Xie, Z., Woolford, L., Singla, N., Joyce, A., Hill, H., Madhuranthakam, A. J., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-1459 · Cited by 188 · see citing works
Hypoxia-inducible factors link iron homeostasis and erythropoiesis
Shah, Y. M., & Xie, L. (2014) · Gastroenterology · doi:10.1053/j.gastro.2013.12.031 · Cited by 187 · see citing works
Palazón, A., Martínez‐Forero, I., Teijeira, Á., Morales‐Kastresana, A., Alfaro, C., Sanmamed, M. F., Perez‐Gracia, J. L., Peñuelas, I., Hervás‐Stubbs, S., Rouzaut, A., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-11-0314 · Cited by 186 · see citing works
FDA Approval Summary: Belzutifan for von Hippel-Lindau Disease-Associated Tumors
Fallah, J., Brave, M. H., Weinstock, C., Mehta, G. U., Bradford, D., Gittleman, H., Bloomquist, E. W., Charlab, R., Hamed, S. S., Miller, C. P., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-22-1054 · Cited by 180 · see citing works
PD-L1 expression is regulated by hypoxia inducible factor in clear cell renal cell carcinoma
Ruf, M., Moch, H., & Schraml, P. (2016) · International Journal of Cancer · doi:10.1002/ijc.30077 · Cited by 179 · see citing works
The VHL tumor suppressor: master regulator of HIF
Haase, V. (2009) · Current Pharmaceutical Design · doi:10.2174/138161209789649394 · Cited by 175 · see citing works
Evolutionary Conserved Regulation of HIF-1β by NF-κB
van Uden, P., Kenneth, N. S., Webster, R., Müller, H. A., Mudie, S., & Rocha, S. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001285 · Cited by 163 · see citing works
The crosstalk between HIFs and mitochondrial dysfunctions in cancer development
Bao, X., Zhang, J., Huang, G., Yan, J., Xu, C., Dou, Z., Sun, C., & Zhang, H. (2021) · Cell Death & Disease · doi:10.1038/s41419-021-03505-1 · Cited by 152 · see citing works
Targeting glucose metabolism enzymes in cancer treatment: current and emerging strategies
Zhang, Y., Li, Q., Huang, Z., Li, B., Nice, E. C., Huang, C., Wei, L., & Zou, B. (2022) · Cancers · doi:10.3390/cancers14194568 · Cited by 144 · see citing works
Current and future perspectives of PD-1/PDL-1 blockade in cancer immunotherapy
Makuku, R., Khalili, N., Razi, S., Keshavarz-Fathi, M., & Rezaei, N. (2021) · Journal of Immunology Research · doi:10.1155/2021/6661406 · Cited by 136 · see citing works
Hypoxia can induce c‐Met expression in glioma cells and enhance SF/HGF‐induced cell migration
Eckerich, C., Zapf, S., Fillbrandt, R., Loges, S., Westphal, M., & Lamszus, K. (2007) · International Journal of Cancer · doi:10.1002/ijc.22679 · Cited by 133 · see citing works
Hypoxia-induced switch in SNAT2/SLC38A2 regulation generates endocrine resistance in breast cancer
Morotti, M., Bridges, E., Valli, A., Choudhry, H., Sheldon, H., Wigfield, S., Gray, N., Zois, C. E., Grimm, F., Jones, D., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818521116 · Cited by 131 · see citing works
Lequeux, A., Noman, M. Z., Xiao, M., Van Moer, K., Hasmim, M., Benoit, A., Bosseler, M., Viry, E., Arakelian, T., Berchem, G., et al. (2021) · Oncogene · doi:10.1038/s41388-021-01846-x · Cited by 129 · see citing works
Next steps for clinical translation of adenosine pathway inhibition in cancer immunotherapy
Augustin, R. C., Leone, R. D., Naing, A., Fong, L. H., Bao, R., & Luke, J. J. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-004089 · Cited by 127 · see citing works
Kitamura, F., Semba, T., Yasuda-Yoshihara, N., Yamada, K., Nishimura, A., Yamasaki, J., Nagano, O., Yasuda, T., Yonemura, A., Tong, Y., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.163022 · Cited by 121 · see citing works
The Research Progress of Antiangiogenic Therapy, Immune Therapy and Tumor Microenvironment
Hu, H., Chen, Y., Tan, S., Wu, S., Huang, Y., Fu, S., Luo, F., & He, J. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.802846 · Cited by 117 · see citing works
Cancer metastasis as a non-healing wound
Deyell, M., Garris, C., & Laughney, A. M. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01309-w · Cited by 112 · see citing works
Salman, S., Meyers, D. J., Wicks, E. E., Lee, S. N., Datan, E., Thomas, A. M., Anders, N. M., Hwang, Y., Lyu, Y., Yang, Y., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci156774 · Cited by 111 · see citing works
Yan, Y., He, M., Zhao, L., Wu, H., Zhao, Y., Han, L., Wei, B., Ye, D., Lv, X., Wang, Y., et al. (2022) · Cell Death & Differentiation · doi:10.1038/s41418-022-00963-8 · Cited by 101 · see citing works
Tumor-associated macrophage polarization in the inflammatory tumor microenvironment
Zou, Z., Lin, H., Li, M., & Lin, B. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1103149 · Cited by 100 · see citing works
Selection of metastasis competent subclones in the tumour interior
Zhao, Y., Fu, X., Lopez, J. I., Rowan, A., Au, L., Fendler, A., Hazell, S., Xu, H., Horswell, S., Shepherd, S. T. C., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01456-6 · Cited by 95 · see citing works
Luo, F., Lu, F.-T., Cao, J.-X., Ma, W.-J., Xia, Z.-F., Zhan, J.-H., Zeng, K.-M., Huang, Y., Zhao, H.-Y., & Zhang, L. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.01.027 · Cited by 95 · see citing works
Biswas, S., Troy, H., Leek, R., Chung, Y.-L., Li, J.-L., Raval, R. R., Turley, H., Gatter, K., Pezzella, F., Griffiths, J. R., et al. (2010) · Journal of Oncology · doi:10.1155/2010/757908 · Cited by 89 · see citing works
Negative regulation of HIF-1α by an FBW7-mediated degradation pathway during hypoxia
Cassavaugh, J. M., Hale, S. A., Wellman, T. L., Howe, A. K., Wong, C., & Lounsbury, K. M. (2011) · Journal of Cellular Biochemistry · doi:10.1002/jcb.23321 · Cited by 88 · see citing works
Bouhamida, E., Morciano, G., Perrone, M., Kahsay, A. E., Della Sala, M., Wieckowski, M. R., Fiorica, F., Pinton, P., Giorgi, C., & Patergnani, S. (2022) · Biology · doi:10.3390/biology11020300 · Cited by 87 · see citing works
Macrophage HIF-1α Is an Independent Prognostic Indicator in Kidney Cancer
Cowman, S. J., Fuja, D. G., Liu, X.-D., Tidwell, R. S. S., Kandula, N., Sirohi, D., Agarwal, A. M., Emerson, L. L., Tripp, S. R., Mohlman, J. S., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-3890 · Cited by 76 · see citing works
Self-citationISCA2 inhibition decreases HIF and induces ferroptosis in clear cell renal carcinoma
Green, Y. S., Ferreira dos Santos, M. C., Fuja, D. G., Reichert, E. C., Campos, A. R., Cowman, S. J., Acuña Pilarte, K., Kohan, J., Tripp, S. R., Leibold, E. A., et al. (2022) · Oncogene · doi:10.1038/s41388-022-02460-1 · Cited by 69 · see citing works
Self-citationYamamoto, A., Huang, Y., Krajina, B. A., McBirney, M., Doak, A. E., Qu, S., Wang, C. L., Haffner, M. C., & Cheung, K. J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214888120 · Cited by 69 · see citing works
Hypoxia-inducible factor orchestrates adenosine metabolism to promote liver cancer development
Cheu, J. W.-S., Chiu, D. K.-C., Kwan, K. K.-L., Yang, C., Yuen, V. W.-H., Goh, C. C., Chui, N. N.-Q., Shen, W., Law, C.-T., Li, Q., et al. (2023) · Science Advances · doi:10.1126/sciadv.ade5111 · Cited by 65 · see citing works
Hypoxia-inducible factors as key regulators of tumor inflammation
Mamlouk, S., & Wielockx, B. (2013) · International Journal of Cancer · doi:10.1002/ijc.27901 · Cited by 61 · see citing works
HIF1α-dependent mitophagy facilitates cardiomyoblast differentiation
Zhao, J.-F., Rodger, C. E., Allen, G. F. G., Weidlich, S., & Ganley, I. G. (2020) · Cell Stress · doi:10.15698/cst2020.05.220 · Cited by 61 · see citing works
Seeber, L. M., Horrée, N., van der Groep, P., van der Wall, E., Verheijen, R. H., & van Diest, P. J. (2010) · BMC Cancer · doi:10.1186/1471-2407-10-307 · Cited by 55 · see citing works
FDG PET/CT-based response assessment in malignancies
Parihar, A. S., Dehdashti, F., & Wahl, R. L. (2023) · RadioGraphics · doi:10.1148/rg.220122 · Cited by 53 · see citing works
Hypoxia-Inducible Factor 2α Plays a Critical Role in the Formation of Alveoli and Surfactant
Huang, Y., Kempen, M. B., Munck, A. B., Swagemakers, S. M. A., Driegen, S., Mahavadi, P., Meijer, D., van IJcken, W. F. J., van der Spek, P. J., Grosveld, F. G., et al. (2011) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2011-0024oc · Cited by 46 · see citing works
Motzer, R. J., Schmidinger, M., Eto, M., Suárez, C., Figlin, R. A., Liu, Y., Perini, R. F., Zhang, Y., & Heng, D. Y. (2023) · Future Oncology · doi:10.2217/fon-2022-0802 · Cited by 45 · see citing works
Casillas, A. L., Chauhan, S. S., Toth, R. K., Sainz, A. G., Clements, A. N., Jensen, C. C., Langlais, P. R., Miranti, C. K., Cress, A. E., & Warfel, N. A. (2021) · Oncogene · doi:10.1038/s41388-021-01915-1 · Cited by 44 · see citing works
Gkotinakou, I.-M., Befani, C., Simos, G., & Liakos, P. (2019) · Journal of Cell Science · doi:10.1242/jcs.225698 · Cited by 43 · see citing works
Fan, Y., Xue, H., Li, Z., Huo, M., Gao, H., & Guan, X. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1345522 · Cited by 40 · see citing works
Oncometabolites—A Link between Cancer Cells and Tumor Microenvironment
Baryła, M., Semeniuk-Wojtaś, A., Róg, L., Kraj, L., Małyszko, M., & Stec, R. (2022) · Biology · doi:10.3390/biology11020270 · Cited by 39 · see citing works
Meade, E., Ma, Y., & Guller, S. M. (2007) · Placenta · doi:10.1016/j.placenta.2007.04.005 · Cited by 35 · see citing works
Sieow, J. L., Penny, H. L., Gun, S. Y., Tan, L. Q., Duan, K., Yeong, J. P. S., Pang, A., Lim, D., Toh, H. C., Lim, T. K. H., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010753 · Cited by 27 · see citing works
Fan, C., Li, J., Li, Y., Jin, Y., Feng, J., Guo, R., Meng, X., Gong, D., Chen, Q., Du, F., et al. (2023) · Clinical & Translational Immunology · doi:10.1002/cti2.1447 · Cited by 26 · see citing works
The 2019 Nobel Prize honors fundamental discoveries in hypoxia response
Moslehi, J., & Rathmell, W. K. (2019) · Journal of Clinical Investigation · doi:10.1172/jci134813 · Cited by 25 · see citing works
Brugarolas, J., Obara, G., Beckermann, K. E., Rini, B., Lam, E. T., Hamilton, J., Schluep, T., Yi, M., Wong, S., Mao, Z. L., et al. (2024) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-23-3029 · Cited by 25 · see citing works
Imaging cancer metabolism using magnetic resonance
Brindle, K. M. (2024) · npj Imaging · doi:10.1038/s44303-023-00004-0 · Cited by 22 · see citing works
Specific inhibition of HIF activity: can peptides lead the way?
Mylonis, I., Chachami, G., & Simos, G. (2021) · Cancers · doi:10.3390/cancers13030410 · Cited by 21 · see citing works
Lee, N., Lee, J. L., & Lee, J.-Y. (2023) · Targeted Oncology · doi:10.1007/s11523-023-00951-z · Cited by 20 · see citing works
Exploiting metabolic vulnerabilities after anti-VEGF antibody therapy in ovarian cancer
Glassman, D., Kim, M. S., Spradlin, M., Badal, S., Taki, M., Bhattacharya, P., Dutta, P., Kingsley, C. V., Foster, K. I., Animasahun, O., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106020 · Cited by 15 · see citing works
HIF-2α Preserves Mitochondrial Activity and Glucose Sensing in Compensating β-Cells in Obesity
Moon, J.-S., Riopel, M., Seo, J. B., Herrero-Aguayo, V., Isaac, R., & Lee, Y. S. (2022) · Diabetes · doi:10.2337/db21-0736 · Cited by 13 · see citing works
Imaging glucose metabolism to reveal tumor progression
Meng, Y., Sun, J., Zhang, G., Yu, T., & Piao, H. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1103354 · Cited by 10 · see citing works
Pal, S. K., Tannir, N. M., Grell, P., Gao, X., Kotecha, R. R., Picus, J., De Braud, F. G., Takahashi, S., Wong, A., Suárez, C., et al. (2024) · Journal of Clinical Oncology · doi:10.1200/jco.2024.42.16_suppl.4513 · Cited by 9 · see citing works
HIF-1 inactivation empowers HIF-2 to drive hypoxia adaptation in aggressive forms of medulloblastoma
Contenti, J., Guo, Y., Larcher, M., Mirabal-Ortega, L., Rouleau, M., Irondelle, M., Tiroille, V., Mazzu, A., Duranton-Tanneur, V., Pedeutour, F., et al. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-02100-5 · Cited by 6 · see citing works
Choueiri, T. K., Garmezy, B., Paterson, E., Ghasemi, M., Cheng, T., Foster, P. G., Hauke, R. J., & Patnaik, A. (2023) · Journal of Clinical Oncology · doi:10.1200/jco.2023.41.16_suppl.tps4602 · Cited by 5 · see citing works
Wang, E., Rupe, E. S., Mukhida, S. S., Johns, A. C., Campbell, M. T., Shah, A. Y., Zurita, A. J., Gao, J., Goswami, S., Jonasch, E., et al. (2025) · European Urology Focus · doi:10.1016/j.euf.2024.09.007 · Cited by 4 · see citing works
McDermott, D. F., Peer, A., Agarwal, N., et al. (2023) · The Oncologist · doi:10.1093/oncolo/oyad216.017 · Cited by 3 · see citing works
Yu, E. Y., Joshua, A. M., Shore, N. D., et al. (2024) · Journal of Clinical Oncology · doi:10.1200/jco.2024.42.4_suppl.tps250 · Cited by 3 · see citing works
Jonasch, E., Hauke, R., Falchook, G., Logan, T., Gordon, M., Hall, E., Schuch, B., Bilen, M. A., Naqash, A., Zakaharia, Y., et al. (2023) · The Oncologist · doi:10.1093/oncolo/oyad216.019 · Cited by 1 · see citing works
Flagged first, then by citations
2 of the 125 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Hypoxic microenvironment in cancer: role in metabolic reprogramming
Sureka, N., Maheshwari, R., Agravat, A., Singhal, S., Zaman, S., Rishi, B., Siraj, F., Zaheer, S., & Misra, A. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1771365 · Cited by 11 · see citing works
Vulnerable plaques in atherosclerosis: focus on angiogenesis-associated phenotypic crosstalk
Hou, X.-Z., Yang, Y.-T., & Yao, J.-M. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1737140 · Cited by 5 · see citing works
Vázquez-Bautista, M., Morales-Luna, L., de la Cruz, V. P., Castillo‐Rodríguez, R. A., Velázquez-Aragón, J. A., Enríquez‐Flores, S., Flores-López, L. A., Hernández-Urzúa, E., Martínez‐Rosas, V., Baeza, C. W., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26189092 · Cited by 3 · see citing works
“HIF-1 α also drives the transcription of genes involved in glycolysis and glucose uptake, redirecting cellular metabolism toward lactate production, bypassing mitochondrial oxidative phosphorylation, thereby supporting tumor cells survival under low-oxygen conditions [17].”
Wu, Z.-S., Huang, S., & Huang, Y. (2026) · Redox Report · doi:10.1080/13510002.2025.2588866 · Cited by 2 · see citing works
“…resistance commonly observed in TNBC. Pharmacological or genetic inhibition of this adaptive axis has been proposed to restore drug sensitivity in hypoxic tumors [58], and our findings imply that tramadol or its derivatives might achieve similar outcomes through partial pathway modulation.”
Karaman, İ., Erdem, D., & Çetin, B. (2026) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-025-04861-x · Cited by 2 · see citing works
“3) [3 ].”
Li, D., Zhang, X., & Du, Y. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1746344 · Cited by 4 · see citing works
“The NF-k B – HIF-1 signaling axis is crucial for maintaining the M2 phenotype through the interaction between neoplastic cells and TAMs, which supports both angiogenesis and metabolic reprogramming (74, 75).”
Luo, Y., Su, X., Chen, Z. Q., et al. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2026.04.039 · Cited by 2 · see citing works
Peng, X., Ma, L., & Chang, W. (2026) · Biomedicines · doi:10.3390/biomedicines14051126 · Cited by 2 · see citing works
Liu, K., Liu, Y., Thorne, R. F., Meng, F., Liu, Y., Wu, M., & Liu, L. (2026) · Molecular Cell · doi:10.1016/j.molcel.2026.04.026 · Cited by 2 · see citing works
Gao, K., Li, Y., Song, X., Ju, M., Liu, W. T., Xu, J., Jie, L., Zhang, H., Wei, Q., & Zhao, L. (2026) · Pharmacological Research · doi:10.1016/j.phrs.2026.108307 · Cited by 3 · see citing works
Baroutis, K. G., Sakuno, G., Hoyek, S., Patel, N. A., Miller, J. W., & Vavvas, D. G. (2025) · AJO International · doi:10.1016/j.ajoint.2025.100183 · Cited by 1 · see citing works
Pérez-Rodríguez, M., Pérez-Mora, S., Soriano-Ursua, M. A., Gómez-García, M. D. C., Flores-Martinez, Y. M., Ocampo-López, J., Zamorano-Carrillo, A., Viveros-Bartolomé, J. M., & Pérez-Ishiwara, D. G. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262411914 · Cited by 1 · see citing works
Li, Z., Qiu, G., Guo, W., Zhao, Y., Du, Y., Li, H., Yang, F., Huang, G., Fu, R., Zou, Y., et al. (2026) · Biomaterials · doi:10.1016/j.biomaterials.2026.124022 · Cited by 1 · see citing works
Redefining surgical oncology: active immune microenvironment modulation beyond tumor resection
谭家雄, Zhang, Y., Wang, J., Xia, Y., Pan, Y., & Zhao, Q. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116521 · Cited by 3 · see citing works
Nahar, J. S., Lim, S. S., & Lee, D. (2026) · Aging advances. · doi:10.4103/agingadv.agingadv-d-26-00005 · Cited by 1 · see citing works
Jiang, X., Li, J., He, D., et al. (2026) · Advanced Functional Materials · doi:10.1002/adfm.76238 · Cited by 1 · see citing works
“Hypoxia-drivenstabilizationofHIF-1 α suppressesmito-chondrial oxidative phosphorylation while enhancing glycolytic metabolism, thereby limiting mitochondrial TCA cycle engagement and reducing cellular susceptibility to cuproptosis [19–21].”
Karamouzis, K., Kollias, J. G., Trapali, M., Papatsirou, M., Gavriatopoulou, M., & Ntanasis‐Stathopoulos, I. (2026) · Cancers · doi:10.3390/cancers18121903 · Cited by 1 · see citing works
Von Hippel-Lindau disease: pathophysiological and clinical advances
van Alfen, S. J., van der Tuin, K., van de Kooij, B., Links, T. P., & Zandee, W. T. (2026) · Familial Cancer · doi:10.1007/s10689-026-00579-8 · Cited by 1 · see citing works
Collagen Prolyl Hydroxylases Regulate HIF-α Levels Independently of pVHL in ccRCCPreprint
Green, Y. S., Acuña-Pilarte, K., Jones, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.14.676157
“HIF-1 and HIF-2 activate both distinct and overlapping genes critical for response to hypoxia including those involved in angiogenesis as well as metabolic and immune reprogramming that can contribute to tumor progression [24].”
Self-citationUnveiling Vascular Dynamics: Introducing the Biomedicines Special Issue on Angiogenesis
Orecchia, A., & Failla, C. M. (2025) · Biomedicines · doi:10.3390/biomedicines13122868
López-Pascual, A., Elurbide, J., Valbuena-Goiricelaya, E., Latasa, M. U., Anaya, E., Adán-Villaescusa, E., Castelló-Uribe, B., Martínez‐Pérez, L. A., Uriarte, I., Arechederra, M., et al. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1765945
Teertam, S. K., Singh, M. K., Altameemi, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.29.696903
“Stabilization of HIF-1α is known to regulate tumor angiogenesis and metabolism, promoting tumor cell proliferation (25, 59).”
From Barrier to Gateway: Nanomaterials Reshaping the Tumor Microenvironment for Therapy
Xie, M., Sun, W., Hu, D., Liu, L., Han, C., Liu, W., Liu, L., Bao, X., Zhang, W., Hao, X., et al. (2026) · International Journal of Nanomedicine · doi:10.2147/ijn.s573490
“…such as phototherapy and sonotherapy, as well as CAT to help normal cells resist excessive oxidative stress, 183 HIF-1α to assist tumor angiogenesis and immune modulation, 184 and the antioxidant function of GSH, offer targeted interventions within the TME and enhance treatment effects.”
Trefoil Factor‐3 Is a Hypoxia‐Triggered Pro‐Tumorigenic Factor in Hepatoblastoma
Martínez-Pérez, L. A., Latasa, M., Uriarte, I., López-Pascual, A., Elurbide, J., Strnad, P., Fraňková, S., Sticová, E., Fabián, O., Arechederra, M., et al. (2026) · Liver international (Print) · doi:10.1111/liv.70592
Abdel-Mohsen, A. E. M., Morsy, B. M., Abuelsaad, A. S. A., et al. (2026) · Applied Food Research · doi:10.1016/j.afres.2026.101899
Pan, X., Li, R., Xu, X., Yu, Z., Liu, S., Zeng, D., Qu, W., Zhang, Z., Wang, H., & Qin, Y. (2026) · Bioactive Materials · doi:10.1016/j.bioactmat.2026.04.031
“Based on the physicochemical abnormalities detailed in Section 2.2.1, this section highlights natural bioactives with evidence for targeting hypoxia adaptation, acidosis, and redox imbalance [97, 127 – 129].”
InfluentialYang, B., Chen, J., Lin, H., et al. (2026) · Advanced Healthcare Materials · doi:10.1002/adhm.202505384
Pharmacologic activation of PHD2 sensitizes non–small cell lung cancer cells to osimertinib
Kim, J., Abeysiriwardhana, H. N. I., Kim, D. K., Yoon, T. H., Choi, J.-H., Liang, Z., Kim, J., Liu, K., Lim, Y., Yu, J. S., et al. (2026) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2026.119443
Heß, L., Koch, J., Göttsche, F., et al. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1845048
“In line with this, an upregulation of HIF1-responsive genes known to drive proliferation, migration, and vessel formation of endothelial cells (12) was measured in DPP9-de fi cient MDA.”
InfluentialThe Role of Angiogenesis in Breast Cancer and Obesity: Unravelling the Connection
Sikuza, Y. O. K., Basson, C., Oberholzer, N., & Ambele, M. A. (2026) · International Journal of Breast Cancer · doi:10.1155/ijbc/2364200
Chen, X., Liu, H., Shu, Q., Tang, Y., Zhang, J., Yu, W., & Li, S. (2026) · Cells · doi:10.3390/cells15121123
Chen, F., Wu, Z., Zhang, F. C., Meng, Y., Liao, H., & Hu, Y. (2026) · Interdisciplinary medicine · doi:10.1002/inmd.70147
Wei, Y., Xie, X., Hou, X., Li, D., Hou, J., & Gao, Y. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1793851
Vascular reprogramming in cancer: engineering the tumor microenvironment
Nishimura, Y. (2026) · Human Cell · doi:10.1007/s13577-026-01417-w
“This hypoxic stress activates HIF-dependent transcriptional programs that promote metabolic adaptation, invasion, epithelial–mesenchymal transition, and immunosuppression [32].”
Das, S., Mahmood, A. S., & Chouaı̈b, S. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27146397
“Hypoxic stress activates hypoxia-inducible factors (HIFs), which regulate adaptive responses in metabolism, angiogenesis, and redox homeostasis, thereby conferring a survival advantage on cells [19].”
Ukwubile, C. A., Bababe, M. B., Malgwi, T. S., et al. (2026) · BioNanoScience · doi:10.1007/s12668-026-02759-3
“Since nuclear HIF-1α is the primary tran - scriptional driver of VEGF and other pro-angiogenic genes [1, 9 , 60], the observed decrease in HIF-1α protein stabil - ity and nuclear localization is very significant.”
Wang, X., You, R., Fang, W., Kang, L., Cai, D., Hou, D., Liu, J., Zhang, S., & Huang, H. (2026) · Functional & Integrative Genomics · doi:10.1007/s10142-026-02003-x
“The HIF-1α-VEGFA signaling axis is widely recognized as a central pathway governing tumor angiogenesis (Acuña-Pilarte and Koh 2025; Fang et al. 2001), driving vascular remodeling and establishing a protective vascular niche (Du et al. 2008).”
Synthesis and Biological Evaluation of a Novel Pyridine-based Derivative as a Cytotoxic Agent
Khramchikhin, A. V., Skryl’nikova, M. A., Mikolaichuk, O. V., et al. (2026) · Organic Preparations and Procedures International · doi:10.1080/00304948.2026.2711221
Wu, H., Gan, X., Wang, S., et al. (2026) · iScience · doi:10.1016/j.isci.2026.117279
Li, Z., Luo, M.-R., Fang, S.-J., et al. (2026) · Analytical Cellular Pathology · doi:10.1155/ancp/1554526
“Hypoxia represents a de fi ning feature of the tumor microenvironment and promotes malignant progression through the activation of hypoxia-inducible factors (HIF-1 α and HIF-2 α ) [26], which coordinate metabolic reprogramming, cellular plasticity, and immune evasion.”
Ukwubile, C. A., Famurewa, A. C., Njidda, S., Okoro, R. N., Umar, S., Nettey, H., Babagana, Y., & Mejida, S. (2026) · Pharmacological Research - Natural Products · doi:10.1016/j.prenap.2026.100870
- Authors
- Acuña-Pilarte, K., & Koh, M. Y.
- Affiliations
- University of Utah (US)
- Corresponding author
- Koh, Mei Yee
- ORCID
- Koh, Mei Yee
- Venue
- Trends in Biochemical Sciences
- Publisher
- Elsevier BV
- Published
- 2025-08
- Volume
- 50
- Issue
- 8
- Pages
- 677-694
- ISSN
- 0968-0004 (ISSN-L)
- PMC
- PMC12327054
- OpenAlex
- W4412363782
- Cited by
- 41
- References
- 125
- Citations by year
- 2026: 35 · 2025: 6
- FWCI
- 8.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Trends in Biochemical Sciences (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- US Department of the Army (HT9425-24-1-0687)
- National Institutes of Health
- Office of the Assistant Secretary for Health
- National Institutes of Health National Cancer Institute (R01CA262262)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › ATP Synthase and ATPases Research
- Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
- Keywords
- hypoxia-inducible factor, tumor hypoxia, tumor angiogenesis, cancer metabolism, tumor immune modulation, tumor progression, cancer therapy response, HIF-targeted therapy
- MeSH terms
- Angiogenesis, Animals, Humans, Neoplasms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review