The DOI matches its Crossref record; 281 of the 292 references it cites were found in a registry or an index; 9 of the 287 sources its claims cite were checked for support.
Targeting Metabolism for Cancer Therapy
Open accessAbstract
Metabolic reprogramming contributes to tumor development and introduces metabolic liabilities that can be exploited to treat cancer. Chemotherapies targeting metabolism have been effective cancer treatments for decades, and the success of these therapies demonstrates that a therapeutic window exists to target malignant metabolism. New insights into the differential metabolic dependencies of tumors have provided novel therapeutic strategies to exploit altered metabolism, some of which are being evaluated in preclinical models or clinical trials. Here, we review our current understanding of cancer metabolism and discuss how this might guide treatments targeting the metabolic requirements of tumor cells.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
146 Not checked yet · 21 Own interpretation · 13 No basis given · 2 Partly supported · 1 Mixed support · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Functional PHGDH loss is toxic to tumor cells with PHGDH amplification or high serine biosynthetic flux (Locasale et al., 2011; Mattaini et al., 2015; Possemato et al., 2011; Zhang et al., 2017), and small-molecule inhibitors targeting PHGDH have been shown to inhibit serine synthesis and tumor proliferation in vitro and in xenograft cancer models (Mullarky et al., 2016; Pacold et al., 2016; Wang”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
- Partly supportedcites Locasale et al., 2011 sourceExperimental — accuracy not yet measured
The passage labeled Abstract reports that PHGDH knockdown decreased proliferation in PHGDH-amplified melanoma cell lines. But it also reports that knockdown had no effect on growth in Carney cells despite their high serine-pathway flux. Thus amplification-associated sensitivity is supported, while high flux alone is not. (LLM, conf=0.91)
- Partly supportedcites Mattaini et al., 2015 sourceExperimental — accuracy not yet measured
The Results section reports that PHGDH knockdown impaired proliferation of PHGDH-amplified T.T. cancer cells and that an enzymatically inactive PHGDH mutant could not rescue it. The Background says serine-biosynthesis flux matters for proliferation in some cancer cells, but does not establish that high flux alone identifies cells harmed by PHGDH loss. The paper demonstrates impaired proliferation, not necessarily cell death implied by “toxic.” (LLM, conf=0.86)
- Supportedcites Possemato et al., 2011 source
The passage describing RNAi-mediated PHGDH suppression reports a dramatic decrease in cell number and cell death in breast cancer cell lines with elevated PHGDH expression. It observed this sensitivity both in PHGDH-amplified lines and in high-PHGDH lines without amplification, which the paper identifies as having increased serine-pathway flux. (LLM, conf=0.92)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Inhibitors of this transporter have been found to deplete intracellular glutathione in cancer cells, resulting in iron-dependent accumulation of ROS and a form of cell death termed ferroptosis (Dixon et al., 2012; Dixon et al., 2014; Yang et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Increased requirement for detoxification of reactive metabolites
What the sources say
- Partly supportedcites Dixon et al., 2012 sourceExperimental — accuracy not yet measured
The Results sections on system xc− and erastin-induced death report that erastin blocks cystine uptake in cancer cells and causes iron-dependent ROS accumulation and ferroptosis. The Results section on NADPH oxidases says blocking system xc− inhibits glutathione synthesis, but the passages do not establish that intracellular glutathione was measured or depleted; that specific part of the claim goes beyond the source. (LLM, conf=0.83)
- Supportedcites Dixon et al., 2014 source
The Introduction identifies xCT as part of the cystine–glutamate transporter and says that its inhibitors trigger ferroptosis, an iron-dependent cell death characterized by ROS accumulation. The Discussion links transporter inhibition to glutathione depletion and loss of GPX4 activity, supporting the claimed sequence. The source does not imply that every inhibitor has this effect in every cancer cell. (LLM, conf=0.90)
- Supportedcites Yang et al., 2014 source
The Results section (‘Erastin Depletes Glutathione to Trigger Selective Ferroptosis’; page not supplied) states that erastin inhibits system xc−, preventing cystine uptake and depleting glutathione. It also links that depletion to ROS formation and ferroptotic cell death. The Introduction (page not supplied) describes ferroptosis as involving iron-dependent ROS. (LLM, conf=0.92)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“New insights into the differential metabolic dependencies of tumors have provided novel therapeutic strategies to exploit altered metabolism, some of which are being evaluated in pre-clinical models or clinical trials.”
§ Targeting Metabolism for Cancer Therapy > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Furthermore, the proliferation rates of normal cells are often greater than those of cancer cells (Vander Heiden and DeBerardinis, 2017), and prominent side effects of antimetabolite chemotherapy are caused by the destruction of normal rapidly proliferating cells.”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
- Not checked yetcites Vander Heiden and DeBerardinis, 2017
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nevertheless, the fact that antimetabolite chemotherapies are clinically effective suggests that a metabolic therapeutic window exists beyond proliferation rate and response to DNA damage.”
§ Targeting Metabolism for Cancer Therapy > Introduction
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The clinical success of antimetabolites for treating cancer is attributed to the increased metabolic demand of neoplastic cells for nucleotide biosynthesis and DNA replication.”
§ Targeting Metabolism for Cancer Therapy > Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Indeed, activation of pyruvate kinase can inhibit cancer cell proliferation and tumor growth in some settings (Anastasiou et al., 2012; Kung et al., 2012; Walsh et al., 2010), but because pyruvate kinase expression is dispensable for the growth of some tumors (Cortes-Cros et al., 2013; Israelsen et al., 2013), whether pyruvate kinase activation will lead to durable responses remains an area of”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
What the sources say
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“In 1947, Sidney Farber, one of the pioneers of modern chemotherapy, discovered that aminopterin could cause disease remission in children with acute lymphoblastic leukemia (Dayton et al., 2016; Farber and Diamond, 1948).”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
- Not checked yetcites Dayton et al., 2016 source
- Not checked yetcites Farber and Diamond, 1948
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“As a result, D-2HG accumulation in cancer cells expressing mutant IDH results in hypermethylation of histones and CpG islands in DNA (Figueroa et al., 2010; Lu et al., 2012; Turcan et al., 2012).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Regardless of the underlying mechanism, alterations in basal enzymatic activity of a given reaction present potential vulnerabilities that might be targeted for cancer therapy.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 87
- Probably not a substantial claim. 3
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“Providing cells with αKG, oxaloacetate, or pyruvate is sufficient to rescue cancer cell proliferation in conditions of glutamine starvation, confirming that glutamine supports proliferation by replenishing depleted TCA cycle intermediates, a process termed anaplerosis (Altman et al., 2016; Weinberg et al., 2010; Yuneva et al., 2007).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
What the sources say
- Disputedcites Altman et al., 2016 sourceExperimental — accuracy not yet measured
In “Nucleotide biosynthesis” (page unavailable), the review says glutamine-deprived cancer cells undergo cell-cycle arrest that cannot be rescued by TCA-cycle intermediates such as oxaloacetate; exogenous nucleotides can rescue it. Although the review describes glutamine entering the TCA cycle, it does not support the claimed rescue by the three listed metabolites or the conclusion that such rescue confirms anaplerosis as the explanation. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
- Partly supportedcites Weinberg et al., 2010 sourceExperimental — accuracy not yet measured
The Results report that dimethyl α-ketoglutarate rescued colony growth when aminotransferase activity was inhibited, supporting a role for glutamine entry into the TCA cycle. They do not report rescue under glutamine starvation or show that added oxaloacetate or pyruvate rescues proliferation. The Results also state that α-ketoglutarate did not effectively rescue growth after glutaminase knockdown (page not specified in our copy). (LLM, conf=0.90)
- Disputedcites Yuneva et al., 2007 sourceExperimental — accuracy not yet measured
In Results, under “Apoptosis caused by glutamine depletion is prevented by substrates of the Krebs cycle,” the paper says oxaloacetate and pyruvate prevented apoptosis but neither restored cell proliferation. It also reports depletion of Krebs-cycle intermediates, but that does not support the claim that supplying these metabolites rescued proliferation. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Disputed
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Chemotherapies targeting metabolism have been effective cancer treatments for decades, and the success of these therapies demonstrates that a therapeutic window exists to target malignant metabolism.”
§ Targeting Metabolism for Cancer Therapy > Abstract
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Metabolic reprogramming contributes to tumor development and introduces metabolic liabilities that can be exploited to treat cancer.”
§ Targeting Metabolism for Cancer Therapy > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“More than thirty years preceding Farber’s work on antifolates, Otto Warburg reported that cancer cells consume tremendous amounts of glucose and metabolize the majority of the glucose into lactate, even in the presence of oxygen (Warburg, 1924).”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
What the sources say
- Not checked yetcites Warburg, 1924 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Notably, many noncancerous tissues, including the brain, are FDG-PET avid (Berti et al., 2014; Cohade, 2010), illustrating that high glucose uptake is not a unique feature of tumors and offering a potential explanation for the relative lack of success in directly targeting glucose metabolism for cancer treatment.”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Aminopterin is the precursor of the currently used drugs methotrexate and pemetrexed, both of which are folate analogues that inhibit one-carbon transfer reactions required for de novo nucleotide synthesis (Figure 1, Figure 2a)(Walling, 2006).”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
- Not checked yetcites Walling, 2006 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Notable examples include the purine analogues 6-mercaptopurine (6-MP) and 6-thioguanine (6-TG), which inhibit 5-phosphoribosyl-1-pyrophosphatase (PRPP) amidotransferase, the first enzyme in de novo purine biosynthesis (Figure 1a, Figure 2b). 6-MP and 6-TG have been successful in treating many cancers including childhood leukemia (Elion, 1989).”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
- Not checked yetcites Elion, 1989 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The pyrimidine analogue 5-fluorouracil (5-FU) is a synthetic analogue of uracil that inhibits thymidylate synthase, limiting the availability of thymidine nucleotides for DNA synthesis (Figure 1b, Figure 2c). 5-FU and the related 5-FU-prodrug capecitabine remain widely used chemotherapies today and are an important treatment for gastrointestinal cancers (Heidelberger et al., 1957; Wagner et al., 2”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“A specific inhibitor of mutant IDH2, AG-221 (enasidenib) confers survival benefit in a mouse model of IDH2-mutant AML (Quivoron et al., 2014; Yen et al., 2017) and became the first compound targeting mutant IDH to enter clinical trials in 2014. Early results in IDH2-mutant AML patients have suggested enasidenib can provide clinical benefit (DiNardo et al., 2015; Stein et al., 2014), and this drug”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Wild-type IDH1 and IDH2 catalyze the reversible oxidative decarboxylation of isocitrate to alpha-ketoglutarate (αKG) and CO2 (Figure 4a). Cancer associated mutations in IDH1 and IDH2 eliminate this function and confer a neomorphic activity to the enzyme, generating D-2-hydroxyglutarate (D-2HG) via the reduction of αKG (Figure 4b)(Dang et al., 2009; Ward et al., 2010).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Despite success in some preclinical models and patients with AML, mutant IDH inhibitors may not be effective in all IDH-mutant cancers. For example, these drugs are unable to reverse epigenetic changes or inhibit tumor proliferation in many models of IDH mutant glioma, despite a robust ability to lower 2-HG in cells and tumors (Tateishi et al., 2015; Turcan et al., 2013).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“2-DG is phosphorylated by hexokinase to produce 2-deoxyglucose-6-phosphate, which cannot be further metabolized by cells. It therefore accumulates intracellularly and competitively inhibits hexokinase to slow glucose uptake (Figure 3).”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
What the sources say
- Not checked yetcites Wick et al., 1957 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“One of the first compounds reported was AGI-5198, which targets mutant IDH1. AGI-5198 reduces intratumoral D-2HG levels, induces expression of genes involved in glial cell differentiation, and suppresses growth of IDH1-mutant human glioma cells in a xenograft model (Rohle et al., 2013).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
- Not checked yetcites Rohle et al., 2013 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Although early clinical testing yielded responses in some patients, the use of this drug was limited by toxicity associated with hypoglycemia symptoms (Landau et al., 1958).”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
What the sources say
- Not checked yetcites Landau et al., 1958
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“IDH1 mutations are early events in the development of glial cancer (Watanabe et al., 2009), raising the possibility that IDH mutations are important for tumor initiation, but accumulation of additional oncogenic mutations renders GBM tumors less dependent on constitutive expression of mutant IDH for tumor proliferation and progression (Johnson et al., 2014; Wakimoto et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Recent clinical trials have revisited use of 2-DG at lower doses, but these doses are insufficient to inhibit disease progression (Raez et al., 2013; Stein et al., 2010).”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, antimetabolite drugs are only effective against a subset of cancer types. Many resistant cancers have the same mutational spectrum as sensitive cancers, and defining genetic predictors of chemotherapy response for most malignancies has been difficult.”
§ Targeting Metabolism for Cancer Therapy > Introduction
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Proliferating cells have different metabolic requirements from non-proliferating cells (Hsu and Sabatini, 2008; Lunt and Vander Heiden, 2011; Pavlova and Thompson, 2016). While non-proliferating cells have primarily catabolic demands, proliferating cells must balance the divergent catabolic and anabolic requirements of sustaining cellular homeostasis while duplicating cell mass, and thus engage in”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
- Not checked yetcites Hsu and Sabatini, 2008
- Not checked yetcites Lunt and Vander Heiden, 2011 source
- Not checked yetcites Pavlova and Thompson, 2016
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Furthermore, the proliferation rates of normal cells are often greater than those of cancer cells (Vander Heiden and DeBerardinis, 2017), and prominent side effects of antimetabolite chemotherapy are caused by the destruction of normal rapidly proliferating cells. Myeloid suppression or gastrointestinal toxicity are often dose-limiting toxicities for these drugs.”
§ Targeting Metabolism for Cancer Therapy > Introduction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Though it is found at low levels in normal cells, D-2HG can accumulate to millimolar levels in cancer cells expressing mutant IDH. At these high concentrations, D-2HG can inhibit αKG-dependent dioxygenases, including enzymes involved in histone and DNA demethylation (Chowdhury et al., 2011; Janke et al., 2017; Koivunen et al., 2012; Xu et al., 2011).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Other antimetabolite nucleoside analogues, such as gemcitabine and cytarabine, are incorporated into DNA, resulting in inhibition of DNA polymerases, and are commonly used to treat select cancers (Parker, 2009).”
§ Targeting Metabolism for Cancer Therapy > Introduction
What the sources say
- Not checked yetcites Parker, 2009 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Increased PHGDH gene expression leads to greater production of serine from glucose and is associated with specific subsets of breast cancer, lung adenocarcinoma, and melanoma (Locasale et al., 2011; Possemato et al., 2011; Zhang et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“One potent glutaminase inhibitor, CB-839, is currently being evaluated in cancer trials in patients (Table 1), although the exact disease context where glutaminase inhibition will be most effective remains an area of active investigation.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“and small-molecule inhibitors targeting PHGDH have been shown to inhibit serine synthesis and tumor proliferation in vitro and in xenograft cancer models (Mullarky et al., 2016; Pacold et al., 2016; Wang et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Glutamine is an important nitrogen donor for amino acids and nucleotides (Hosios et al., 2016), but glutamine uptake can exceed the nitrogen requirement of some cancer cells (DeBerardinis et al., 2007).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, PHGDH activity may not be a requirement for proliferation for all PHGDH-amplified cancers, as expression has been shown to be dispensable in a breast cancer xenograft model (Chen et al., 2013).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
- Not checked yetcites Chen et al., 2013 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Serine can also contribute to NADPH production via the folate cycle, which serves to maintain redox homeostasis and support anabolic reactions (Fan et al., 2014; Lewis et al., 2014; Ye et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Glutamine is a non-essential amino acid, and yet cancer cells proliferating in vitro consume glutamine far in excess of any other amino acid and are often dependent on extracellular glutamine for survival (DeBerardinis and Cheng, 2010; Eagle, 1955; Jain et al., 2012).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In certain contexts, MYC-transformed cancers become glutamine dependent and undergo apoptosis in the absence of glutamine (Yuneva et al., 2007).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
What the sources say
- Not checked yetcites Yuneva et al., 2007 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, tumors harboring an IDH mutation have increased sensitivity to hypomethylating agents (Turcan et al., 2013), electron transport chain inhibitors (Grassian et al., 2014), depletion of the coenzyme NAD+ (Tateishi et al., 2015) and chemoradiotherapy (Cairncross et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“MYC has been found to increase mRNA and protein levels of glutamine transporters as well as expression of the enzyme glutaminase, which catalyzes the first step in glutaminolysis (Gao et al., 2009; Wise et al., 2008; Yuneva et al., 2012).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, some evidence suggests that inhibiting mutant IDH could confer resistance to some therapies, as inhibitors targeting mutant IDH1 can antagonize the effects of radiation therapy in glioma (Molenaar et al., 2015).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Oncogenic isocitrate dehydrogenase mutations
What the sources say
- Not checked yetcites Molenaar et al., 2015 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Clinical trials using glutamine analogues to treat cancers were initiated decades ago, but these trials were abandoned due to lack of efficacy and/or severe patient toxicity (Livingston et al., 1970; O’Dwyer et al., 1984). The absence of a therapeutic window for these studies can likely be attributed to fact that these drugs were relatively non-specific and a panoply of glutamine utilizing enzymes”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Upregulated glutaminolysis
What the sources say
- Not checked yetcites Livingston et al., 1970 source
- Not checked yetcites O’Dwyer et al., 1984
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“More recently, it was found that increased expression of the serine synthesis enzyme phosphoglycerate dehydrogenase (PHGDH) in some cancers can result from copy number gain of a region on chromosome 1p (Beroukhim et al., 2010; Locasale et al., 2011; Possemato et al., 2011) or a consequence of oncogenic signaling, including NRF2 and ATF4 signaling (DeNicola et al., 2015), or hypoxia responses (Sam”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“However, inhibitors of PHGDH might have a limited therapeutic index, as de novo serine synthesis has an important physiological role in the central nervous system (Furuya, 2008) and PHGDH-deficient mice exhibit severe brain morphogenesis defects (Yoshida et al., 2004).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
- Not checked yetcites Furuya, 2008
- Not checked yetcites Yoshida et al., 2004 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Increased activity of de novo serine synthesis enzymes in cancer has been observed for more than 30 years (Snell, 1984; Snell et al., 1988).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Additionally, succinate and fumarate inhibit the prolyl hydroxylase domain-containing (PHD) enzymes that regulate stability of hypoxia-inducible factors (HIFs), such that FH and SDH deficient cancers activate the hypoxic gene expression program even under normoxic conditions (Hewitson et al., 2007; Pollard et al., 2005; Selak et al., 2005).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Removing serine from culture media limits incorporation of one-carbon units into nucleotides and impairs proliferation (Labuschagne et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
- Not checked yetcites Labuschagne et al., 2014 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Loss of SDH also results in TCA cycle dysfunction, leading to the accumulation of succinate and depletion of aspartate, fumarate, citrate, and malate.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“L-alanosine inhibits conversion of inosine monophosphate (IMP) to AMP, and shows selective toxicity towards MTAP-null cancer cells (Batova et al., 1999; Efferth et al., 2003; Harasawa et al., 2002), but was found to be clinically ineffective in patients with advanced MTAP-deficient tumors in a Phase II trial (Kindler et al., 2009).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Metabolic collateral lethality
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Loss of MTAP expression can result in another vulnerability for cancer cells because the MTA that accumulates following MTAP loss can act as a potent inhibitor of the enzyme arginine methyltransferase 5 (PRMT5).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Metabolic collateral lethality
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Similarly, the gene encoding enolase 1 (ENO1) is on the tumor-suppressor locus 1p36, and undergoes homozygous deletion in 1–5% of GBM cancers. Knockdown of enolase 2 (ENO2) in ENO1-null GBM cells resulted in significant inhibition of proliferation and intracranial tumorigenesis, whereas ENO1 expressing cancer cells were insensitive to ENO2 ablation.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Metabolic collateral lethality
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Pancreatic ductal adenocarcinoma (PDAC) cells exhibiting homozygous deletion of the tumor suppressor SMAD4 often lose malic enzyme 2 (ME2) expression due to the chromosomal proximity of the two genes. Targeting the malic enzyme 3 (ME3) isoform was found to impair tumor proliferation of PDAC xenografts lacking ME2 expression, but had no effect on tumors with intact ME2 (Dey et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Metabolic collateral lethality
What the sources say
- Not checked yetcites Dey et al., 2017 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In this context, aspartate cannot be synthesized from glutamine or other sources of αKG, and aspartate production is dependent on pyruvate carboxylase (PC) activity.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A potential liability of ASS1 deficient cancers is that, like FH null cancers, they are unable to synthesize arginine de novo. As functional arginine auxotrophs, these cells are reliant on exogenous arginine for proliferation and survival and may be sensitive to therapies that lower arginine availability (Table 1).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Loss of argininosuccinate synthase 1 expression
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both epigenetic changes and aberrant HIF activation can contribute to tumor initiation and progression in these cancers.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“PC ablation impairs SDH-deficient cell proliferation and tumor formation, and thus targeting PC might be exploited to treat these types of cancers.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The high levels of fumarate resulting from FH deficiency drives argininosuccinate lyase (ASL) and argininosuccinate synthase (ASS1) in a direction that consumes arginine (Figure 7). Depletion of intracellular arginine causes these cells to become arginine auxotrophs (Adam et al., 2013; Zheng et al., 2013), and therapies that deplete exogenous arginine (Table 1) may be effective in treating malign”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Additionally, serine deprivation by dietary restriction is sufficient to slow growth of both xenograft (Gravel et al., 2014; Maddocks et al., 2013) and autochthonous cancer models, although efficacy of serine deprivation appears to be influenced by both the oncogenic driver mutation and tissue context (Maddocks et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Increased dependence on serine
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Loss of FH activity or SDH activity results in disruption of the TCA cycle and accumulation of fumarate or succinate, respectively.”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > FH and SDH loss in heritable cancer syndromes
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“MTAP deficient cells are more reliant on de novo purine synthesis to generate AMP, since they are unable to cleave MTA to salvage adenine, and thus MTAP loss makes cells more susceptible to inhibitors of purine biosynthesis as well as to methionine depletion (Hori et al., 1996).”
§ Targeting Metabolism for Cancer Therapy > Altered Metabolic Enzyme Expression > Metabolic collateral lethality
What the sources say
- Not checked yetcites Hori et al., 1996
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In fact, cells derived from these tumors acquire host mtDNA to regain the ability to do respiration, providing compelling evidence that respiration is required and selected for in tumorigenesis (Tan et al., 2015a).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
- Not checked yetcites Tan et al., 2015a
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, NAMPT inhibitors may be more effective in contexts of MYC-amplified glioblastoma (Tateishi et al., 2016) or when used in combination with other drugs known to deplete NAD+ pools (Bajrami et al., 2012; Chan et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“However, acetate is not always abundant in blood and is not the predominate source of acetyl-CoA used for fatty acid synthesis in some cells (Hosios and Vander Heiden, 2014).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting de novo lipid synthesis
What the sources say
- Not checked yetcites Hosios and Vander Heiden, 2014
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It was first discovered in the 1950s that tumors are able to synthesize lipids, and a subsequent study determined that the large majority of lipids in tumors cells are synthesized de novo, rather being consumed from exogenous sources (Medes et al., 1953; Ookhtens et al., 1984).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting de novo lipid synthesis
What the sources say
- Not checked yetcites Medes et al., 1953
- Not checked yetcites Ookhtens et al., 1984
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Moreover, inhibitors of cellular respiration block proliferation, suggesting that most cancer cells require respiration in order to proliferate (Harris, 1980; Howell and Sager, 1979; Kroll et al., 1983; Loffer and Schneider, 1982; Zhang et al., 2014b).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Some cancers are nevertheless dependent on expression of acetyl-CoA synthetase 2 (ACSS2), the cytosolic enzyme that allows cells to synthesize acetyl-CoA from acetate, making this represents a potential therapeutic target (Comerford et al., 2014; Schug et al., 2015).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting de novo lipid synthesis
What the sources say
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Consistent with this notion, other complex I inhibitors have shown efficacy as anti-tumor agents (Appleyard et al., 2012; Schockel et al., 2015) and may show selective toxicity against oncogene-ablation resistant cells (Viale et al., 2014) and cancer stem cells (Sancho et al., 2015).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“However, metformin, one of the commonly prescribed drugs for treating type II diabetes, is safe despite acting as a mitochondrial complex I inhibitor that impairs respiration (Bridges et al., 2014; El-Mir et al., 2000; Owen et al., 2000; Wheaton et al., 2014).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Furthermore, retrospective clinical studies have found that metformin use is associated with improved cancer outcomes, reductions in cancer incidence, and decreased cancer mortality (Evans et al., 2005; Franciosi et al., 2013; Gandini et al., 2014; Lee et al., 2012; Noto et al., 2012).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Proliferating cells often require a high NAD+/NADH ratio to support anabolic reactions, and in some contexts the NAD+/NADH ratio directly correlates with proliferation rate (Gui et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
What the sources say
- Not checked yetcites Gui et al., 2016 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Targeting FASN has been found to reduce palmitoylation of tubulin and disrupt microtubule organization, inhibiting tumor cell growth (Heuer et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting de novo lipid synthesis
What the sources say
- Not checked yetcites Heuer et al., 2017 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Higher NAD+/NADH ratios appear important for proliferation while lower ratios favor mitochondrial ATP production.”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Differential requirements for NAD+/NADH homeostasis
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The compound TVB-2640 is the first compound targeting FASN to enter clinical trials (Table 1), and when combined with paclitaxel, can cause partial responses or prolonged stable disease (Brenner et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting de novo lipid synthesis
What the sources say
- Not checked yetcites Brenner et al., 2017 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Lung tumors support their nitrogen requirement by catabolizing free branched chain amino acids (BCAA), whereas pancreatic tumors expressing the same driver mutation do not.”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Differential utilization of amino acids
What the sources say
- Not checked yetcites Mayers et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Analysis of gene expression across different cancer types has determined that metabolic enzyme expression is heterogeneous across tumors, and there is no universal metabolic transformation common to all cancers.”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities
What the sources say
- Not checked yetcites Gaude and Frezza, 2016
- Not checked yetcites Hu et al., 2013
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Targeting DHODH depletes uridine and downstream metabolites, and providing uridine is sufficient to maintain myeloid arrest, even in the presence of compounds targeting DHODH.”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Inducing differentiation in myeloid cells
What the sources say
- Not checked yetcites Sykes et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The transcription factor HoxA9 is overexpressed in 70% of AML cases, and overexpression of this transcription factor alone is sufficient to immortalize murine bone marrow derived myeloid cells (Ayton and Cleary, 2003; Golub et al., 1999; Kroon et al., 1998).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Inducing differentiation in myeloid cells
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Activation of mTOR can increase ribose synthesis via the oxidative pentose phosphate pathway (Duvel et al., 2010) and enhance flux through the pyrimidine and purine synthesis pathways (Ben-Sahra et al., 2013; Ben-Sahra et al., 2016; Robitaille et al., 2013), suggesting that targeting nucleotide metabolism in tumor contexts with mTOR hyperactivation may be more effective.”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting nucleotide acquisition and synthesis
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, the transcription factor Nrf2, which mediates an antioxidant response program to detoxify ROS, is downstream of several oncogenic drivers, and loss of Nrf2 in this context can impair tumor proliferation (Chio et al., 2016; DeNicola et al., 2011).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Increased requirement for detoxification of reactive metabolites
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Several screens for small-molecules that selectively kill transformed cells have identified compounds that reduce glutathione levels (Dolma et al., 2003; Raj et al., 2011; Trachootham et al., 2006), and genetic or pharmacological inhibition of glutathione synthesis results in ROS accumulation and impedes cancer initiation and cell proliferation (Harris et al., 2015; Lien et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Increased requirement for detoxification of reactive metabolites
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Many cancer cells are auxotrophic for this amino acid, and lowering whole body cysteine levels with bacterial cysteineases is a potential cancer treatment being evaluated in clinical trials (Graczyk-Jarzynka et al., 2017).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Increased requirement for detoxification of reactive metabolites
What the sources say
- Not checked yetcites Graczyk-Jarzynka et al., 2017 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Targeting BCAA transaminases inhibits lung tumor formation better than pancreatic tumor formation, suggesting that dependence on branched chain amino acid catabolism is determined by cell lineage rather than tumor site (Mayers et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Differential utilization of amino acids
What the sources say
- Not checked yetcites Mayers et al., 2016 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Conversely, inhibiting oncogenic signaling using PI3K inhibitors, has been found to deplete DNA nucleotides, decrease DNA synthesis, and cause DNA damage (Juvekar et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Targeting nucleotide acquisition and synthesis
What the sources say
- Not checked yetcites Juvekar et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Disruption of this and other detoxification pathways is predicted to have a more deleterious effect on cancer cells than normal cells, and thus serves as a potential targetable metabolic liability.”
§ Targeting Metabolism for Cancer Therapy > Emerging Metabolic Targets > Increased requirement for detoxification of reactive metabolites
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“L-asparaginase has been found to be effective in the treatment of ALL and is included in standard chemotherapy regimens for this disease (Table 1)(Egler et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Asparagine auxotrophy in acute lymphoblastic leukemia
What the sources say
- Not checked yetcites Egler et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, these analyses suggest that metabolic vulnerabilities may not be universal across all cancers and highlight the possibility that some metabolic dependencies of cancer may be modulated by environment or defined by tumor lineage.”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The protein targets of methotrexate and 5-FU are present in almost all cancers, but the efficacy of these drugs varies dramatically across malignancies.”
§ Targeting Metabolism for Cancer Therapy > What Dictates Metabolic Dependencies?
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, while targeting ACC to limit fatty synthesis can suppress lung tumor progression in some models (Svensson et al., 2016), loss of ACC activity can accelerate tumor growth in other cancer models (Jeon et al., 2012).”
§ Targeting Metabolism for Cancer Therapy > What Dictates Metabolic Dependencies?
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Altering culture media conditions is sufficient to change cancer cell sensitivity to metformin, highlighting the importance of environment in modulating metabolic dependencies.”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Metabolic dependencies can be modulated by environment
What the sources say
- Not checked yetcites Gui et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Treatment with brequinar sodium (BRQ), an inhibitor of DHODH that is approved to treat autoimmune disease, is able to overcome myeloid differentiation blockade and reduces leukemic cell burden in patient-derived xenografts and syngeneic mouse AML models of diverse genetic subtypes.”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Inducing differentiation in myeloid cells
What the sources say
- Not checked yetcites Sykes et al., 2016 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Cancer tissue-of-origin has served as a successful way to select patients for chemotherapies targeting metabolism for decades, and environment can also influence the efficacy of drugs targeting DHODH, mitochondrial complex I, and glutaminase (Davidson et al., 2016; Gui et al., 2016; Marin-Valencia et al., 2012; Sellers et al., 2015; Sykes et al., 2016; Tardito et al., 2015).”
§ Targeting Metabolism for Cancer Therapy > What Dictates Metabolic Dependencies?
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Intraoperative isotopically-labeled glucose infusions performed on non-small cell lung cancer patients revealed higher contribution of glucose carbon to TCA intermediates than glycolytic intermediates in tumors, leading the authors to conclude that lactate could serve as an anaplerotic substrate in this context as well (Hensley et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Non-tumor cells can influence tumor cell metabolism
What the sources say
- Not checked yetcites Hensley et al., 2016 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Similarly, many PHGDH-amplified tumors and cell lines are sensitive to genetic or pharmacological inhibition of the enzyme (Locasale et al., 2011; Mullarky et al., 2016; Pacold et al., 2016; Possemato et al., 2011; Wang et al., 2017; Zhang et al., 2017), but for some tumor models PHGDH expression can be dispensable for growth (Chen et al., 2013).”
§ Targeting Metabolism for Cancer Therapy > What Dictates Metabolic Dependencies?
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Glutamine tracing studies have demonstrated that in some tumor tissues, glutamine contributes minimally to TCA cycle intermediates, and those cancers can be resistant to glutaminase inhibition (Davidson et al., 2016; Hensley et al., 2016; Marin-Valencia et al., 2012; Sellers et al., 2015; Tardito et al., 2015).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Metabolic dependencies can be modulated by environment
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Lactate utilization by tumors is dependent on monocarboxylate transporters (MCTs) (Figure 3), which are highly expressed in a variety of tumors (Pinheiro et al., 2012).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Non-tumor cells can influence tumor cell metabolism
What the sources say
- Not checked yetcites Pinheiro et al., 2012 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Pancreatic ductal adenocarcinoma cells can consume alanine produced by pancreatic stellate cells in vitro, and the secreted alanine appears to help promote tumor cell proliferation and survival under nutrient-limited conditions (Sousa et al., 2016).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Non-tumor cells can influence tumor cell metabolism
What the sources say
- Not checked yetcites Sousa et al., 2016 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“BRQ was previously evaluated to treat advanced solid tumors but was not shown to be effective in clinical trials (Arteaga et al., 1989; Noe et al., 1990; Peters et al., 1990).”
§ Targeting Metabolism for Cancer Therapy > Lineage and Environment Specific Vulnerabilities > Inducing differentiation in myeloid cells
What the sources say
- Not checked yetcites Arteaga et al., 1989
- Not checked yetcites Noe et al., 1990
- Not checked yetcites Peters et al., 1990 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“pro-fibrotic macrophages commonly coordinate scar formation via a range of interactions with fibroblasts, the major cellular source of pathological extracellular matrix deposition during fibrosis18,27,74–78.”
From Fibrosis: from mechanisms to medicines (2020) · cites this paper as [75]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
“More than thirty years preceding Farber’s work on antifolates, Otto Warburg reported that cancer cells consume tremendous amounts of glucose and metabolize the majority of the glucose into lactate, even in the presence of oxygen (Warburg, 1924).”
§ Targeting Metabolism for Cancer Therapy > Altered glucose metabolism
Reported 30 · recomputed 23
Citations
Cites
2 retracted
Selective killing of cancer cells by a small molecule targeting the stress response to ROS
Raj, L., Ide, T., Gurkar, A. U., Foley, M. A., Schenone, M., Li, X., Tolliday, N. J., Golub, T. R., Carr, S. A., Shamji, A. F., et al. (2011) · Nature · doi:10.1038/nature10167 · Cited by 1,040
RetractedSamanta, D., Park, Y., Andrabi, S. A., Shelton, L. M., Gilkes, D. M., & Semenza, G. L. (2016) · Cancer Research · doi:10.1158/0008-5472.can-16-0530 · Cited by 242
RetractedFerroptosis: An Iron-Dependent Form of Nonapoptotic Cell Death
Dixon, S. J., Lemberg, K. M., Lamprecht, M. R., Skouta, R., Zaitsev, E. M., Gleason, C. E., Patel, D. N., Bauer, A. J., Cantley, A. M., Yang, W. S., et al. (2012) · Cell · doi:10.1016/j.cell.2012.03.042 · Cited by 18,691
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516
Regulation of Ferroptotic Cancer Cell Death by GPX4
Yang, W. S., SriRamaratnam, R., Welsch, M. E., Shimada, K., Skouta, R., Viswanathan, V. S., Cheah, J. H., Clemons, P. A., Shamji, A. F., Clish, C. B., et al. (2014) · Cell · doi:10.1016/j.cell.2013.12.010 · Cited by 7,713
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926 · cited 1×
“Proliferating cells have different metabolic requirements from non-proliferating cells (Hsu and Sabatini, 2008; Lunt and Vander Heiden, 2011; Pavlova and Thompson, 2016).”
BackgroundIDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
The landscape of somatic copy-number alteration across human cancers
Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature · doi:10.1038/nature08822 · Cited by 4,017
Cited by
Sorted by citations
Items 201–300 of 929
Mitra, T., & Bhattacharya, R. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29703 · Cited by 46
Deciphering the Dichotomous Effects of PGC-1α on Tumorigenesis and Metastasis
Gravel, S. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00075 · Cited by 41
Affinito, A., Quintavalle, C., Chianese, R. V., et al. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-01910-x · Cited by 46
Jiang, Y., Hu, T., Wang, T., Shi, X. E., Kitano, A., Eagle, K., Hoegenauer, K. A., Konopleva, M. Y., Lin, C. Y., Young, N. L., et al. (2019) · Blood · doi:10.1182/blood.2019001076 · Cited by 47
Zhang, L., Yang, S., Qiu, Q., Cui, G., Zhang, Y., Yao, M., Li, X., Chen, C., Gu, J., Wang, T., et al. (2024) · Redox Biology · doi:10.1016/j.redox.2024.103286 · Cited by 53
A CRISPRi/a screening platform to study cellular nutrient transport in diverse microenvironments
Chidley, C., Darnell, A. M., Gaudio, B. L., Lien, E. C., Barbeau, A. M., Heiden, M. G. V., & Sorger, P. K. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01402-1 · Cited by 45
Linden, C. V., Corbet, C., Bastien, E., Martherus, R., Guilbaud, C., Petit, L., Wauthier, L., Loriot, A. E., Smet, C. D., & Féron, O. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109202 · Cited by 46
Characterization of TR ‐107, a novel chemical activator of the human mitochondrial protease ClpP
Fennell, E. M. J., Aponte‐Collazo, L. J., Wynn, J. D., Drizyte‐Miller, K., Leung, E., Greer, Y. E., Graves, P. R., Iwanowicz, A. A., Ashamalla, H. L., Holmuhamedov, E., et al. (2022) · Pharmacology Research & Perspectives · doi:10.1002/prp2.993 · Cited by 56
Metabolomics in acute myeloid leukemia
Wojcicki, A. V., Kasowski, M. M., Sakamoto, K. M., & Lacayo, N. J. (2020) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2020.05.005 · Cited by 43
Taha‐Mehlitz, S., Bianco, G., Coto‐Llerena, M., Kancherla, V., Bantug, G. R., Gallon, J., Ercan, C., Panebianco, F., Eppenberger‐Castori, S., von Strauss, M., et al. (2021) · Theranostics · doi:10.7150/thno.50051 · Cited by 48
Coronel-Hernández, J., Salgado-García, R., de León, D. F. C., Jacobo-Herrera, N. J., Millán-Catalán, O., Delgado-Waldo, I., Campos-Parra, A. D., Rodríguez-Morales, M., Delgado‐Buenrostro, N. L., & Pérez‐Plasencia, C. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.594200 · Cited by 40
Lin, G., Wu, Y., Cai, F., Li, Z., Su, S., Wang, J., Cao, J., & Ma, L. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.01069 · Cited by 42
EPHX2 Inhibits Colon Cancer Progression by Promoting Fatty Acid Degradation
Zhou, Y., Li, X., Guan, A., Zhou, H., Zhu, Y., Wang, R., & Li, R. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.870721 · Cited by 41
A pan-cancer metabolic atlas of the tumor microenvironment
Rohatgi, N., Ghoshdastider, U., Baruah, P., Kulshrestha, T., & Skanderup, A. J. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110800 · Cited by 43
Small-molecule drug repurposing to target DNA damage repair and response pathways
Brinkman, J. A., Liu, Y., & Kron, S. J. (2020) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.02.013 · Cited by 41
NMR-Based Metabolomics in Metal-Based Drug Research
Castro, F. D., Benedetti, M., Coco, L. D., & Fanizzi, F. P. (2019) · Molecules · doi:10.3390/molecules24122240 · Cited by 43
USP29 coordinates MYC and HIF1α stabilization to promote tumor metabolism and progression
Tu, R., Kang, W., Yang, M., Wang, L., Bao, Q., Chen, Z., Dong, Y., Wang, J., Jiang, J., Liu, H., et al. (2021) · Oncogene · doi:10.1038/s41388-021-02031-w · Cited by 44
Kang, H., Lee, S.-M., Kim, K., Jeon, J., Kang, S., Youn, H., Kim, H. Y., & Youn, B. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-02077-4 · Cited by 43
Dissecting the Oncogenic Roles of Keratin 17 in the Hallmarks of Cancer
Baraks, G., Tseng, R., Pan, C., Kasliwal, S., Leiton, C. V., Shroyer, K. R., & Escobar-Hoyos, L. F. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-2522 · Cited by 42
Qiu, J., Cheng, Z., Jiang, Z., Gan, L., Zhang, Z., & Xie, Z. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25105490 · Cited by 53
Monnier, M., Paolini, L., Vinatier, E., Mantovani, A., Delneste, Y., & Jeannin, P. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005560 · Cited by 50
The Metabolic Inhibitor CPI-613 Negates Treatment Enrichment of Ovarian Cancer Stem Cells
Bellio, C., DiGloria, C. M., Spriggs, D. R., Foster, R., Growdon, W. B., & Rueda, B. R. (2019) · Cancers · doi:10.3390/cancers11111678 · Cited by 37
Toffoli, E. C., Sheikhi, A., Höppner, Y. D., de Kok, P., Yazdanpanah‐Samani, M., Spanholtz, J., Verheul, H. M. W., van der Vliet, H. J., & de Gruijl, T. D. (2021) · Cancers · doi:10.3390/cancers13040711 · Cited by 42
Banerjee, A., Birts, C. N., Darley, M., Parker, R., Mirnezami, A. H., West, J. J., Cutress, R., Beers, S. A., Rose-Zerilli, M. J. J., & Blaydes, J. P. (2018) · Carcinogenesis · doi:10.1093/carcin/bgy174 · Cited by 44
Past, Present, and Future of Anticancer Nanomedicine
Kim, K., & Khang, D. (2020) · International Journal of Nanomedicine · doi:10.2147/ijn.s254774 · Cited by 39
Li, S. N., Wu, R., Wang, L., Kuo, H. D., Sargsyan, D., Zheng, X., Wang, Y., Su, X., & Kong, A. T. (2021) · Molecular Carcinogenesis · doi:10.1002/mc.23365 · Cited by 42
Jiang, T., Rivera, F. J. S., Soto‐Feliciano, Y. M., Yang, Q., Song, C., Bhuatkar, A., Haynes, C. M., Hemann, M. T., & Xue, W. (2020) · Hepatology · doi:10.1002/hep.31685 · Cited by 40
Haas, G., Fan, S., Ghadimi, M. B., Oliveira, T. D., & Conradi, L. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.612774 · Cited by 39
Sung, J., & Cheong, J. (2022) · Cells · doi:10.3390/cells11050768 · Cited by 40
Wu, C., Liu, Y., Liu, W., Zou, T., Lu, S., Zhu, C., He, L., Chen, J., Fang, L., Zou, L., et al. (2022) · Advanced Science · doi:10.1002/advs.202202642 · Cited by 39
Zhang, M., Liu, Q., Zhang, M., et al. (2020) · Journal of Nanobiotechnology · doi:10.1186/s12951-020-00720-4 · Cited by 39
Yu, Y., Jiang, Y., Glandorff, C., & Sun, M. (2024) · Cellular Signalling · doi:10.1016/j.cellsig.2024.111239 · Cited by 41
Guo, T., Zhang, Q., Wang, X., Xu, X., Wang, Y., Wei, L. S., Li, N., Liu, H., Hu, L., Zhao, N., et al. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.138855 · Cited by 41
Sun, C., Liu, W., Mu, Y., & Wang, X. D. (2019) · Talanta · doi:10.1016/j.talanta.2019.120557 · Cited by 38
Recent Advances in the Development of Fatty Acid Synthase Inhibitors as Anticancer Agents
Singh, S., Karthikeyan, C., & Moorthy, N. S. H. N. (2020) · Mini-Reviews in Medicinal Chemistry · doi:10.2174/1389557520666200811100845 · Cited by 30
Ishida, T., Takahashi, T., Kurokawa, Y., Nishida, T., Hirota, S., Serada, S., Fujimoto, M., Naka, T., Teranishi, R., Saito, T., et al. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01566-9 · Cited by 37
Delgado-Goñi, T., Galobart, T. C., Wantuch, S., Normantaite, D., Leach, M. O., Whittaker, S. R., & Beloueche-Babari, M. (2020) · British Journal of Cancer · doi:10.1038/s41416-019-0628-x · Cited by 39
Zhang, L., Zhai, B.-Z., Wu, Y., & Wang, Y. (2023) · Drug Delivery · doi:10.1080/10717544.2022.2144541 · Cited by 39
Targeting Energy Metabolism in Cancer Treatment
Kubik, J., Humeniuk, E., Adamczuk, G., Madej, B., & Korga-Plewko, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105572 · Cited by 39
McDonald, G., Chubukov, V., Coco, J., Truskowski, K., Narayanaswamy, R., Choe, S. E., Steadman, M., Artin, E., Padyana, A. K., Jin, L., et al. (2020) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-20-0550 · Cited by 37
Ekpenyong, M., Asitok, A., Antigha, R., Ogarekpe, N. M., Ekong, U., Asuquo, M. I., Essien, J. P., & Antai, S. P. (2021) · International Journal of Peptide Research and Therapeutics · doi:10.1007/s10989-021-10188-x · Cited by 35
Effects of fluorescent carbon dots from the baked lamb on energy and lipid metabolism
Zhang, L., Na, X., Lai, B., Song, Y., Wang, H., & Tan, M. (2020) · Food Chemistry · doi:10.1016/j.foodchem.2020.127832 · Cited by 36
Cyclin D1 targets hexokinase 2 to control aerobic glycolysis in myeloma cells
Caillot, M., Bourgeais, J., Dakik, H., Costé, É., Mazure, N. M., Lelièvre, E., Coqueret, O., Hérault, O., Mazurier, F., & Sola, B. (2020) · Oncogenesis · doi:10.1038/s41389-020-00253-3 · Cited by 36
Hsu, S., & Hung, W. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.216008 · Cited by 36
Targeting MYC at the intersection between cancer metabolism and oncoimmunology
Venkatraman, S., Balasubramanian, B., Thuwajit, C., Meller, J., Tohtong, R., & Chutipongtanate, S. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1324045 · Cited by 40
Fundamentals to function: Quantitative and scalable approaches for measuring protein stability
Atsavapranee, B., Stark, C., Sunden, F., Thompson, S., & Fordyce, P. M. (2021) · Cell Systems · doi:10.1016/j.cels.2021.05.009 · Cited by 38
Targeting allosteric regulation of cancer metabolism
Kremer, D. M., & Lyssiotis, C. A. (2022) · Nature Chemical Biology · doi:10.1038/s41589-022-00997-6 · Cited by 43
Acetone immersion enhanced MALDI-MS imaging of small molecule metabolites in biological tissues
Sun, C., Li, Z., Ma, C., Zang, Q., Li, J., Liu, W., Zhao, H., & Wang, X. (2019) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2019.112797 · Cited by 36
Non-coding RNAs rewire cancer metabolism networks
Lin, X., Wu, Z., Hu, H., Luo, M., & Song, E. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.12.019 · Cited by 37
Osteopontin in Cancer: Mechanisms and Therapeutic Targets
Kariya, Y., & Kariya, Y. (2022) · International Journal of Translational Medicine · doi:10.3390/ijtm2030033 · Cited by 14
Metabolic response to radiation therapy in cancer
Read, G. H., Bailleul, J., Vlashi, E., & Kesarwala, A. H. (2021) · Molecular Carcinogenesis · doi:10.1002/mc.23379 · Cited by 41
Chen, L., Peng, J., Wang, Y., Jiang, H., Wang, W., Dai, J., Tang, M., Yan, W., Kuang, H., Xu, G., et al. (2020) · PubMed · Cited by 42
Extracellular Citrate Is a Trojan Horse for Cancer Cells
Petillo, A., Abruzzese, V. D., Koshal, P., Ostuni, A., & Bisaccia, F. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.593866 · Cited by 36
Progress in research on the role of amino acid metabolic reprogramming in tumour therapy: A review
Wang, D., & Wan, X. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113923 · Cited by 34
Keller, M., Rohlf, K., Glotzbach, A., Leonhardt, G., Lüke, S., Derksen, K., Demirci, Ö., Göçener, D., Alwahsh, M., Lambert, J., et al. (2023) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-022-02578-w · Cited by 23
Thakir, T. M., Wang, A. R., Decker-Farrell, A. R., Ferrer, M., Guin, R. N., Kleeman, S. O., Levett, L. M., Zhao, X., & Janowitz, T. (2025) · Journal of Clinical Investigation · doi:10.1172/jci191934 · Cited by 42
Targeting T Cell Metabolism in Inflammatory Skin Disease
von Meyenn, L., Bertschi, N., & Schlapbach, C. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02285 · Cited by 32
Zhao, Y., Liu, X., Dong, W., Xue, Y., Yang, C., Wang, D., Ruan, X., Zhang, M., Wang, P., Liu, L., et al. (2021) · Cell Death and Disease · doi:10.1038/s41419-022-05219-4 · Cited by 33
Targeting disseminated estrogen-receptor-positive breast cancer cells in bone marrow
Buschhaus, J. M., Humphries, B. A., Eckley, S. S., Robison, T. H., Cutter, A. C., Rajendran, S., Haley, H. R., Bevoor, A. S., Luker, K. E., & Luker, G. D. (2020) · Oncogene · doi:10.1038/s41388-020-01391-z · Cited by 33
Drug–Drug Interactions of Cannabidiol with Standard-of-Care Chemotherapeutics
Buchtová, T., Lukáč, D., Škrott, Z., Chromá, K., Bártek, J., & Mistrík, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032885 · Cited by 38
Huang, S.-S., Tsai, C., Kuo, C., Li, Y.-S., & Cheng, S. (2022) · Endocrine · doi:10.1007/s12020-022-03124-6 · Cited by 36
Ma, L., Liu, W., Xu, A., Ji, Q., Ma, Y., Tai, Y., Wang, Y., Shen, C., Liu, Y., Wang, T., et al. (2020) · Cancer Science · doi:10.1111/cas.14412 · Cited by 28
Metabolic Reprogramming: A Friend or Foe to Cancer Therapy?
McCann, C. K., & Kerr, E. M. (2021) · Cancers · doi:10.3390/cancers13133351 · Cited by 36
Chava, S., Wajapeyee, N., Edwards, Y. J. K., & Gupta, R. (2021) · Oncogenesis · doi:10.1038/s41389-021-00339-6 · Cited by 31
Metabolic therapy and bioenergetic analysis: The missing piece of the puzzle
Duraj, T., Carrión-Navarro, J., Seyfried, T. N., Garcia‐Romero, N., & Ayuso‐Sacido, Á. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101389 · Cited by 36
Pinto, F. G., Mahmud, I., Harmon, T. A., Rubio, V. Y., & Garrett, T. J. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00006 · Cited by 29
Martell, E., Kuzmychova, H., Senthil, H., Kaul, E., Chokshi, C., Venugopal, C., Anderson, C. M., Singh, S. K., & Sharif, T. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01604-y · Cited by 34
2-deoxy-d-glucose Ameliorates Animal Models of Dermatitis
Choi, S. Y., Heo, M.-J., Lee, C., Choi, Y. M., An, I., Bae, S., An, S., & Jung, J. H. (2020) · Biomedicines · doi:10.3390/biomedicines8020020 · Cited by 33
Cardoso, H. J., Figueira, M. I., Vaz, C. V., Carvalho, T. M. A., Brás, L. A., Madureira, P. A., Oliveira, P. J., Sardão, V. A., & Socorro, S. (2021) · Cellular Oncology · doi:10.1007/s13402-020-00575-9 · Cited by 34
Han, T.-H., Park, M. K., Nakamura, H., & Ban, H. S. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.112500 · Cited by 35
Combination radionuclide therapy: A new paradigm
Suman, S. K., Subramanian, S., & Mukherjee, A. (2021) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2021.05.001 · Cited by 32
Alhujaily, M. M., Abbas, H., Xue, M., de la Fuente, A., Rabbani, N., & Thornalley, P. J. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.748698 · Cited by 29
Metwally, N. H., Mohamed, M. S., & Deeb, E. A. (2021) · Research on Chemical Intermediates · doi:10.1007/s11164-021-04564-x · Cited by 30
Global changes to HepG2 cell metabolism in response to galactose treatment
Skolik, R., Solocinski, J., Konkle, M. E., Chakraborty, N., & Menze, M. A. (2021) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00460.2020 · Cited by 31
Birkeland, E. S., Koch, L. M., & Dechant, R. C. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01561 · Cited by 31
Crosstalk between metabolic and epigenetic modifications during cell carcinogenesis
Gao, Y., Zhang, S., Zhang, X., Du, Y., Ni, T., & Hao, S. (2024) · iScience · doi:10.1016/j.isci.2024.111359 · Cited by 42
Screening in serum-derived medium reveals differential response to compounds targeting metabolism
Abbott, K. L., Ali, A., Casalena, D. E., Do, B. T., Ferreira, R., Cheah, J. H., Soule, C. K., Deik, A., Kunchok, T., Schmidt, D. R., et al. (2023) · Cell chemical biology · doi:10.1016/j.chembiol.2023.08.007 · Cited by 35
Total Cellular ATP Production Changes With Primary Substrate in MCF7 Breast Cancer Cells
Louie, M. C., Ton, J., Brady, M. L., Le, D. T., Mar, J. N., Lerner, C. A., Gerencser, A. A., & Mookerjee, S. A. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01703 · Cited by 30
Traceable Lactate-Fueled Self-Acting Photodynamic Therapy against Triple-Negative Breast Cancer
Zhang, Y., Feng, G., He, T., Yang, M., Lin, J., & Huang, P. (2023) · Research · doi:10.34133/research.0277 · Cited by 32
Glutaminolysis dynamics during astrocytoma progression correlates with tumor aggressiveness
Franco, Y. E. M., Alves, M. J. F., Uno, M., Moretti, I. F., Trombetta-Lima, M., Santos, S. D. S., dos Santos, A. F., Arini, G. S., Baptista, M. S., Lerário, A. M., et al. (2021) · Cancer & Metabolism · doi:10.1186/s40170-021-00255-8 · Cited by 27
Finicle, B. T., Eckenstein, K. H., Revenko, A. S., Anderson, B. A., Wan, W. B., McCracken, A. N., Gil, D., Fruman, D. A., Hanessian, S., Seth, P. P., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad023 · Cited by 30
Nutritional Impact on Metabolic Homeostasis and Brain Health
Carneiro, L., & Pellerin, L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.767405 · Cited by 33
Barbarino, M., Cesari, D., Bottaro, M., Luzzi, L., Namagerdi, A. A., Bertolino, F. M., Bellan, C., Proietti, F., Somma, P., Micheli, M., et al. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15213 · Cited by 35
Uchinomiya, S., Nagaura, T., Weber, M., Matsuo, Y., Zenmyo, N., Yoshida, Y., Tsuruta, A., Koyanagi, S., Ohdo, S., Matsunaga, N., et al. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.3c02043 · Cited by 33
Repurposing drugs targeting metabolic diseases for cancer therapeutics
Pillai U, J., Ray, A., Maan, M., & Dutta, M. (2023) · Drug Discovery Today · doi:10.1016/j.drudis.2023.103684 · Cited by 31
Metabolic Alterations and Therapeutic Opportunities in Rare Forms of Melanoma
Han, A., Schug, Z. T., & Aplin, A. E. (2021) · Trends in cancer · doi:10.1016/j.trecan.2021.05.005 · Cited by 31
Integrins meet complement: The evolutionary tip of an iceberg orchestrating metabolism and immunity
Merle, N. S., Singh, P., Rahman, J., & Kemper, C. (2020) · British Journal of Pharmacology · doi:10.1111/bph.15168 · Cited by 28
TGF-β1 is a regulator of the pyruvate dehydrogenase complex in fibroblasts
Smith, E. R., & Hewitson, T. D. (2020) · Scientific Reports · doi:10.1038/s41598-020-74919-8 · Cited by 30
Metabolism – A cornerstone of cancer initiation, progression, immune evasion and treatment response
Lunt, S. Y., & Fendt, S. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.12.006 · Cited by 30
Fast Nanoliter‐Scale Cell Assays Using Droplet Microarray–Mass Spectrometry Imaging
Guevara, C. R., Paulssen, D., Popova, A. A., Hopf, C., & Levkin, P. A. (2021) · Advanced Biology · doi:10.1002/adbi.202000279 · Cited by 28
Sahu, G., Patra, S. A., Pattanayak, P. D., Kaminsky, W., & Dinda, R. (2023) · Inorganic Chemistry · doi:10.1021/acs.inorgchem.3c00326 · Cited by 30
Kim, S., Im, J. H., Kim, W., Choi, Y. J., Lee, J. Y., Kim, S. K., Kim, S. J., Kwon, S. W., & Kang, K. W. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/5428364 · Cited by 26
Zhang, X., Gao, F., Ai, H., et al. (2021) · Cell Proliferation · doi:10.1111/cpr.13015 · Cited by 30
Functional mitochondrial respiration is essential for glioblastoma tumour growth
Brisudová, P., Stojanovic, D., Novák, J., Nahácka, Z., Oliveira, G. L., Vaňátko, O., Dvorakova, S., Endaya, B., Truksa, J., Kubiskova, M., et al. (2025) · Oncogene · doi:10.1038/s41388-025-03429-6 · Cited by 29
Porphyrin overdrive rewires cancer cell metabolism
Adapa, S. R., Hunter, G. A., Amin, N. E., Marinescu, C., Borsky, A., Sagatys, E. M., Sebti, S. M., Reuther, G. W., Ferreira, G. C., & Jiang, R. H. Y. (2024) · Life Science Alliance · doi:10.26508/lsa.202302547 · Cited by 30
Prospects and challenges of cancer systems medicine: from genes to disease networks
Karimi, M. R., Karimi, A. H., Abolmaali, S., Sadeghi, M., & Schmitz, U. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab343 · Cited by 33
Finlay, M. R. V., Anderton, M. J., Bailey, A., Boyd, S., Brookfield, J. L., Cairnduff, C., Charles, M. D., Cheasty, A., Critchlow, S. E., Culshaw, J. D., et al. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.9b00260 · Cited by 32
Cheng, G., Hardy, M., Zielonka, J., Weh, K. M., Zielonka, M., Boyle, K. A., AbuEid, M., McAllister, D. M., Bennett, B., Kresty, L. A., et al. (2020) · Cancer Treatment and Research Communications · doi:10.1016/j.ctarc.2020.100210 · Cited by 29
Succinate based polymers drive immunometabolism in dendritic cells to generate cancer immunotherapy
Inamdar, S., Suresh, A. P., Mangal, J. L., Ng, N. D., Sundem, A., Behbahani, H. S., Rubino, T. E., Shi, X., Loa, S. T., Yaron, J. R., et al. (2023) · Journal of Controlled Release · doi:10.1016/j.jconrel.2023.05.014 · Cited by 30
miR-126-5p targets Malate Dehydrogenase 1 in non-small cell lung carcinomas
Queiroz, A. L., Zhang, B., Comstock, D. E., Hao, Y., Eriksson, M., Hydbring, P., Vakifahmetoglu-Norberg, H., & Norberg, E. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.03.154 · Cited by 29
Metadata
- Authors
- Luengo, A., Gui, D. Y., & Vander Heiden, M. G.
- Affiliations
- Koch Institute for Integrative Cancer Research At MIT (US)
- Venue
- Cell Chemical Biology
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 24
- Issue
- 9
- Pages
- 1161-1180
- ISSN
- 2451-9448 (ISSN-L)
- 2451-9456
- PMC
- PMC5744685
- OpenAlex
- W2758067903
- Cited by
- 971
- References
- 292
- Citations by year
- 2026: 46 · 2025: 81 · 2024: 111 · 2023: 130 · 2022: 194 · 2021: 161 · 2020: 141 · 2019: 80 · 2018: 24 · 2017: 2
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell chemical biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Lustgarten Foundation
- SU2C
- Ludwig Center
- NCI
- HHMI
- Ludwig Center for Molecular Oncology
- NSF (GRFP DGE-1122374)
- NIH (T32 GM007753)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Keywords
- cancer metabolism, metabolic reprogramming, metabolic cancer therapy, metabolic liability
- MeSH terms
- Antimetabolites, Argininosuccinate Synthase, Fatty Acids, Glutamine, Glycolysis, Humans, Isocitrate Dehydrogenase, NAD, Neoplasms, Carbohydrate Metabolism, Metabolic Engineering
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.
A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-06 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (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