G-quadruplex-mediated genomic instability drives SNVs in cancer
Open accessAbstract
G-quadruplex (G4s) DNA structures have been implicated in inducing genomic instability and contributing to cancer development. However, the relationship between G4s and cancer-related single nucleotide variants (cSNVs) in clinical settings remains unclear. In this large-scale study, we integrated experimentally validated G4s with genomic cSNVs from 13480 cancer patients to investigate the spatial association of G4s with the cellular cSNV landscape. Our findings demonstrate an increase in local genomic instability with increasing local G4 content in cancer patients, suggesting a potential role for G4s in driving cSNVs. Notably, we observed distinct spatial patterns of cSNVs and common single nucleotide variants (dbSNVs) in relation to G4s, implying different mechanisms for their generation and accumulation. We further demonstrate large, cancer-specific differences in the relationship of G4s and cSNVs, which could have important implications for a new class of G4-stabilizing cancer therapeutics. Moreover, we show that high G4-content can serve as a prognostic marker for local cSNV density and patient survival rates. Our findings underscore the importance of considering G4s in cancer research and highlight the need for further investigation into the underlying molecular mechanisms of G4-mediated genomic instability, especially in the context of cancer.
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Written from the paper’s full text.
TL;DR
Integrating experimentally validated G-quadruplexes (G4s) with cancer single nucleotide variants (cSNVs) from 13,480 patients, this study finds that local G4 content is associated with increased local cSNV density and genomic instability. The authors also report cancer-type-specific G4–cSNV relationships and show that a patient’s global G4-average is associated with cancer-related mortality.
Key findings
- cSNVs showed a stronger spatial correlation with G4s than common dbSNVs: Pearson’s r = 0.194 for cSNVs vs 0.082 for dbSNVs, with cSNVs predominantly downstream of G4s (95% CI 63–391 bp) and dbSNVs predominantly upstream (95% CI –2143 to –447 bp); the cSNV Gaussian fit was 5.2-fold compressed compared with dbSNVs.
- In 5 kb genomic windows, windows without G4s had a mean of 6.5 cSNVs, windows with at least one G4 had 10.8 cSNVs, and windows with ≥10 G4s had 49.5 cSNVs—a 7.6-fold increase over windows without G4s (ind. t-test = –89.601, P < 0.001).
- Cancer genes contained higher G4 levels than non-cancer genes: median 15 G4s per gene (mean 27) vs median 6 (mean 15), a 2.8-fold increase.
- Incomplete categorical bootstrapping yielded an r² of 0.96 for the linear relationship between cSNVs and G4s; in 3416 patients, the G4-average was a significant prognostic marker (P < 0.005) with a relative hazard coefficient of 0.38, corresponding to a 38% increase in hazard of cancer-related death per one-unit increase in G4-average.
Methods
- The study integrated experimentally validated G4s with cSNVs from the NCI GDC Data Portal: 14,932 whole-exome sequencing experiments initially yielded 3,454,377 cSNVs from 13,480 patients across 154 cancer types; after removing germline mutations by intersecting with common dbSNVs and excluding cancer types with fewer than 10 samples, 2,847,440 cSNVs remained.
- G4 locations were obtained from Balasubramanian et al. and lifted to hg38, yielding 716,310 G4s; 15,175,044 dbSNVs from UCSC and 50 million random G4-like sequences in human exons were used for comparison.
- Analyses included distance-to-nearest-G4 calculations, parametric Gaussian fitting, 5 kb fixed-end and sliding genomic window analyses, linear regression with incomplete categorical bootstrapping, GC normalization and partial correlation, and Cox proportional hazards modeling.
Limitations
- The authors state that the study is correlative and cannot establish causality or directionality between G4s and cSNVs; they also note that they correlated local potential quadruplex-forming sequences (PQSs) rather than formed G4s with cSNVs.
- The authors state that extending the analyses to individual patients was beyond the scope, and that the survival model’s relatively low concordance likely stems from heterogeneous training data; they call for cancer-specific models and rigorous validation before clinical use.
- Evident from the text: the analysis is based on whole-exome cSNV data and bulk patient cohorts rather than patient-specific chromatin-mapped G4s, and the reported associations may be influenced by cancer-type heterogeneity and selection pressures in cancer cells.
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Claims the paper makes
41 of 48 cited sources checked · 8 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Deregulated G4 formation is a major driver of genomic instability.
“there is strong evidence that deregulated G4-formation is a major driver of genomic instability”
Quote in the paperSubstantial claim6 of 7 sources checked- cites [26] Rodriguez, 2012, Small-molecule-induced DNA damage identifies alternative DNA structures in human genes, Nat. Chem. Biol. source
The Results section (‘Transcription- and replication-dependent DNA damage’; page unavailable) shows that pyridostatin, a G-quadruplex-binding drug, induces DNA damage in treated cells. That supports a link between targeting G-quadruplexes and DNA damage, but it does not establish that deregulated G4 formation is a major driver of genomic instability generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [27] De Magis, 2019, DNA damage and genome instability by G-quadruplex ligands are mediated by R loops in human cancer cells, Proc. Nat. Acad. Sci. U.S.A. source
The Abstract says that stabilization of G4s by specific ligands or genetic defects can lead to genome instability. The Discussion reports an R-loop-dependent mechanism in human cancer cells treated with the studied G4 ligands. These passages support a link, but do not establish that deregulated G4 formation is a major driver of genomic instability generally. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [28] Salvati, 2007, Telomere damage induced by the G-quadruplex ligand RHPS4 has an antitumor effect, J. Clin. Invest. source
The ‘RHPS4 induces damage foci at telomeres’ section reports a strong DNA-damage response at telomeres after treatment with a G4-binding ligand. The Discussion links this response to stabilized telomeric G4 DNA, but treats the mechanism as speculative. These passages do not establish that deregulated G4 formation is a major driver of genomic instability generally. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [29] Rodriguez, 2008, A novel small molecule that alters shelterin integrity and triggers a DNA-damage response at telomeres, J. Am. Chem. Soc. source
In the paper’s main text (page unavailable), compound-induced stabilization of telomeric G-quadruplexes is linked to POT1 uncapping and a DNA-damage response in a human cancer cell line. That supports a specific route by which altered G4 formation can provoke damage signaling, but not the broader assertion that deregulated G4 formation is a major driver of genomic instability. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [34] Paeschke, 2011, DNA replication through G-quadruplex motifs is promoted by the Saccharomyces cerevisiae Pif1 DNA helicase, Cell source
The Introduction reports that unresolved G4 structures can impede replication and cause chromosome breakage in Pif1-deficient yeast. The Results also show elevated recombination at G4 motifs in pif1Δ cells. These findings support a link to genomic instability under those conditions, but do not establish deregulated G4 formation as a major driver of genomic instability generally. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [35] Wu, 2008, FANCJ helicase defective in Fanconia anemia and breast cancer unwinds G-quadruplex DNA to defend genomic stability, Mol. Cell. Biol. source
- cites [36] Wang, 2019, G-quadruplex DNA drives genomic instability and represents a targetable molecular abnormality in ATRX-deficient malignant glioma, Nat. Commun. source
The Introduction reports that ATRX loss increased G4 formation, replication stress, and DNA damage in astrocyte and glioma stem-cell models. The Discussion links G4-mediated damage to genomic alterations in ATRX-deficient glioma, but says G4s contribute “at least in part”; it does not establish deregulated G4 formation as a major driver of genomic instability generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
One well-documented mechanism for G4-mediated genomic instability involves G4-enhanced formation of R-loops that can spread into adjacent regions containing G4s.
“While not exclusively resulting in point-mutations, one well-documented mechanism for G4-mediated genomic instability involves G4-enhanced formation of R-loops, that can spread into adjacent regions containing G4s (27).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [27] De Magis, 2019, DNA damage and genome instability by G-quadruplex ligands are mediated by R loops in human cancer cells, Proc. Nat. Acad. Sci. U.S.A. source
- Premisecitation
Recent genome-wide investigations underscore that these effects are not confined to promotors, but are rather observed across the genome.
“Recent genome-wide investigations underscore that these effects are not confined to promotors, but are rather observed across the genome (68–70).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [68] Bruno, 2020, The primary mechanism of cytotoxicity of the chemotherapeutic agent CX-5461 is topoisomerase II poisoning, Proc. Nat. Acad. Sci. U.S.A. source
The Significance and Data sections describe CX-5461’s mechanism and analyses across cell lines, not where effects occur within the genome. Searches for promoters and effects across the genome found no passage establishing that the effects extend beyond promoters. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites [69] Olivieri, 2020, A genetic map of the response to DNA damage in human cells, Cell source
The Results (‘Global view of the screens’; page unavailable) describe genome-wide screens for genes affecting the response to DNA damage. Our copy does not say that the effects invoked by the citing sentence occur outside promoters or across genomic locations; a search for promoters and genomic distribution found no such passage. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites [70] Bossaert, 2021, Transcription-associated topoisomerase 2α (TOP2A) activity is a major effector of cytotoxicity induced by G-quadruplex ligands, eLife source
The Introduction (page unavailable) says G-quadruplexes are present throughout the human genome and reports genome-wide associations with RNA polymerase pausing and R-loop-forming regions. The paper also describes G4-ligand effects at transcribed genomic regions, but the passages do not establish that those effects were observed across the genome rather than at promoters alone. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Premisecitation
More serious DNA damages, such as double-strand breaks associated with non-B DNA structures like G4s, and the subsequent DNA repair can be mutagenic.
“Lastly, more serious DNA damages, such as double-strand breaks associated with non-B DNA structures like G4s, and the subsequent DNA repair can be mutagenic (7,27).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [7] Spiegel, 2020, The structure and function of DNA G-quadruplexes, Trends Chem. source
The G4 Detection and Mapping section reports double-strand breaks predominantly at predicted G4 regions after treatment with a G4-stabilising ligand. The Intervention and Therapeutics section says G4 ligands cause double-strand breaks and activate DNA repair pathways, but does not say that the subsequent repair is mutagenic. The break evidence is also specifically tied to ligand treatment, a condition the claim omits. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [27] De Magis, 2019, DNA damage and genome instability by G-quadruplex ligands are mediated by R loops in human cancer cells, Proc. Nat. Acad. Sci. U.S.A. source
The Results (page not available) report that G4 ligands induce double-strand breaks and that PDS-induced breaks can lead to micronuclei, a hallmark of genome instability. The paper does not show that subsequent DNA repair is mutagenic; it instead links micronuclei to breaks that fail to be properly repaired. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The prevalence of G4s is significantly increased in immortalized cells compared to primary human cells.
“Furthermore, the prevalence of G4s was found to be significantly increased in immortalized cells as compared to primary human cells (13).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Hänsel-Hertsch, 2016, G-quadruplex structures mark human regulatory chromatin, Nat. Genet. source
The comparison on p. 5 reports 10,560 G4 ChIP-seq peaks in immortalized HaCaT cells versus 1,496 in normal human epidermal keratinocytes; the Figure 3 caption calls the increase significant. The source supports this specific cell-type comparison, but not a general increase across immortalized cells compared with primary human cells. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
G4s and non-B DNA structures in general have been shown to trigger genomic instability through wrongfully stimulating DNA damage and repair responses which initially maintain genome integrity.
“Notably, G4s and non-B DNA structures in general have been shown to trigger genomic instability through wrongfully stimulating DNA damage and repair responses which initially maintain genome integrity.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [81] Buschta-Hedayat, 1999, Recognition of nonhybridizing base pairs during nucleotide excision repair of DNA, Proc. Nat. Acad. Sci. U.S.A. source
The Results (page not available in our copy) show that nonhybridizing bases stimulate nucleotide excision repair when paired with a C4′ adduct, supporting the narrower point that altered base pairing can recruit a repair response. The paper does not examine G4s or non-B DNA structures generally, or show that inappropriate repair of those structures causes genomic instability; it reports that mismatched bases alone caused no excision. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [82] Wang, 2023, Dynamic alternative DNA structures in biology and disease, Nat. Rev. Genet. source
In “Structure-specific repair cleavage models” (page unavailable), the review says non-B DNA can stimulate damage responses and may be recognized and cleaved by repair proteins that normally restore genome integrity. It presents resulting mutagenesis as a plausible model, not an established mechanism for non-B structures generally. In “Replication-dependent mutations” (page unavailable), it links G4 DNA to breaks and repair-associated deletions, but not specifically to wrongful stimulation of a damage response. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
G4s have emerged as drivers of genomic plasticity, both through small- and large-scale genomic variations.
“Recently, G4s have emerged as drivers of genomic plasticity, both through small- and large-scale genomic variations (4,77).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [4] Guiblet, 2021, Non-B DNA: a major contributor to small- and large-scale variation in nucleotide substitution frequencies across the genome, Nucleic. Acids. Res. source
- cites [77] Georgakopoulos-Soares, 2018, Noncanonical secondary structures arising from non-B DNA motifs are determinants of mutagenesis, Genome Res. source
The Results section reports increased mutagenesis at G4 motifs, including enrichment near indels, supporting the small-scale variation part of the claim. The paper does not establish that G4s drive large-scale genomic variations; its Methods describe analyses of substitutions and indels, not large-scale rearrangements. Page numbers were not available in our copy. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
This effect seems to be aggravated in cells with an impaired DNA repair machinery and deficiencies in homologous recombination.
“This effect seems to be aggravated in cells with an impaired DNA repair machinery and deficiencies in homologous recombination. (72).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [72] Zimmer, 2016, Targeting BRCA1 and BRCA2 deficiencies with G-quadruplex-interacting compounds, Mol. Cell source
- Premisecitation
G4-stabilizing ligand therapies mostly rely on increased genomic instability in cancer cells to slow or stop cancer progression and cell growth.
“which mostly rely on an increased genomic instability in cancer cells to slow or stop cancer progression and cell growth (83).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [83] Miglietta, 2022, Ligands stimulating antitumour immunity as the next G-quadruplex challenge, Mol. Cancer source
The Background (page unavailable) says several G4 binders can arrest DNA replication, causing DNA damage and genome instability, and that past research pursued cytotoxic ligands. But the Conclusions and the section on G4 stabilization (pages unavailable) describe other mechanisms and note that cancer cells can survive binder-induced DNA breaks. The paper does not establish that G4-ligand therapies *mostly rely* on genomic instability to slow or stop cancer progression or cell growth. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Cancer cells are subjected to high selection pressure due to their highly proliferative nature, favoring the acquisition of mutations that provide further growth advantages.
“Furthermore, cancer cells are subjected to high selection pressure due to their highly proliferative nature, favoring the acquisition of mutations that provide further growth advantages (89).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [89] Dasari, 2021, The somatic molecular evolution of cancer: mutation, selection, and epistasis, Prog. Biophys. Mol. Biol. source
The Introduction’s “Genotype-by-environment interactions” section says environmental conditions select for cancer-cell traits that promote survival and proliferation. The “Hallmarks of cancer and cancer fitness landscapes” section also describes mutations that may be selectively advantageous. The cited paper does not establish that cancer cells face high selection pressure *because* they are highly proliferative; it describes proliferation as a trait subject to selection. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
A Phase 1 clinical trial of the G4-stabilizing ligand CX-5461 in patients with advanced solid tumors demonstrated a 14% partial response rate in patients deficient in homologous recombination (HR).
“Notably, a Phase 1 clinical trial of the G4-stabilizing ligand CX-5461 (91), administered to patients with advanced solid tumors, demonstrated a 14% partial response rate in patients deficient in homologous recombination (HR), a critical DNA repair pathway”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [91] Hilton, 2022, Results of the phase I CCTG IND.231 trial of CX-5461 in patients with advanced solid tumors enriched for DNA-repair deficiencies, Nat. Commun. source
The Results (Efficacy) report a 14% partial-response rate (4/29) among patients with breast, ovarian, or pancreatic tumors—tumor types in which HR-gene alterations can have a functional role. That is not a rate specifically measured in patients confirmed to be HR-deficient: three responders had pathogenic BRCA1/2 or PALB2 alterations, while the fourth had a TP53 mutation and a BRCA2 variant of uncertain significance. (LLM, conf=0.91)
Experimental — accuracy not yet measured
- Findingown data
The observation that windows with ≥10 G4s have increased cSNVs compared to windows without G4s remained consistent for fixed-end 20 kb- and 50 kb sliding-windows.
“This observation remained consistent for fixed-end 20 kb- and 50 kb sliding-windows (data not shown).”
Quote in the paperNot a substantial claim - Findingown data
Normalizing the number of cSNVs per coding exon to exon length resulted in moderate correlations with the number of G4s in coding exons (CDK4 r = 0.505, MYC r = 0.569).
“Normalizing the number of cSNVs per coding exon to the exon length resulted in moderate correlations with the number of G4s in coding exons (CDK4 Pearson's r = 0.505, MYC Pearson's r = 0.569).”
Quote in the paperSubstantial claim - Findingown data
The 95% CI of cSNVs was narrower than that of dbSNVs, reflected in a 5.2-fold compressed Gaussian fit compared to dbSNVs.
“This distinction was further emphasized by the narrower CI of cSNVs, which was reflected in a 5.2-fold compressed Gaussian fit compared to dbSNVs”
Quote in the paperSubstantial claim - Findingown data
In cancer patients, local G4 density is positively correlated with local cSNV density (local genomic instability increases with increasing local G4 content).
“Our findings demonstrate an increase in local genomic instability with increasing local G4 content in cancer patients”
- Also stated in: § Introduction · hedged
“Our results indicate a significant positive correlation between the local densities of G4s and SNVs in cancer patients”
Quote in the paperSubstantial claim - Also stated in: § Introduction · hedged
- Findingown data
This observation is consistent in both cancer genes and non-cancer genes.
“This observation is consistent in both cancer genes and non-cancer genes.”
Quote in the paperSubstantial claim - Findingown data
Both cSNVs and dbSNVs displayed a robust spatial correlation with G4s in human exons.
“both cSNVs and dbSNVs displayed a robust spatial correlation with G4s in human exons.”
Quote in the paperSubstantial claim - Findingown data
In windows containing a large (≥10) number of G4s, the local number of cSNVs was on average 7.6-fold increased (mean: 49.5 cSNVs, median: 28 cSNVs, ind. t-test = -89.601, P < 0.001) compared to windows without G4s.
“Moreover, in windows containing a large (≥10) number of G4s, the local number of cSNVs was on average 7.6-fold increased (mean: 49.5 cSNVs, median: 28 cSNVs, ind. t-test = –89.601, P < 0.001) compared to windows without G4s, indicating that the effect is G4-dependent.”
Quote in the paperSubstantial claim - Findingown data
In the CDK4 gene, high density of cSNVs occurs in coding exons one and six, which are the only coding exons harboring G4s in CDK4.
“in the CDK4 gene, a known oncogene that is mutated in a wide range of cancer types, we observed a high density of cSNVs in the coding exons one and six, which are the only coding exons harboring G4s in the CDK4 gene.”
Quote in the paperNot a substantial claim - Findingown data
By incrementally increasing the number of averaged random samples, a linear regression model on cSNVs was fit, approximating an r2 of 0.96.
“Ultimately, by incrementally increasing the number of averaged random samples, we were able to fit a linear regression model on cSNVs, approximating an r2 of 0.96.”
Quote in the paperSubstantial claim - Findingown data
There is a significant increase in cSNV-levels in windows with 10 or more G4s compared to windows without G4s (ind. t-test = 142.3, P = 0.0; chi-squared-test = 0.0).
“We observed that there is a significant increase in cSNV-levels in windows with 10 or more G4s compared to windows without G4s (ind. t-test = 142.3, P = 0.0; chi-squared-test = 0.0), as indicated by a visible right-shift in the kernel-density-estimated probability curves (Figure 2E).”
Quote in the paperSubstantial claim - Findingown data
cSNVs and common dbSNVs show distinct spatial patterns in relation to G4s.
“we observed distinct spatial patterns of cSNVs and common single nucleotide variants (dbSNVs) in relation to G4s”
Quote in the paperSubstantial claim - Findingown data
There is a robust linear increase in local normalized cSNV-count with increasing G4 content in cancer patients.
“We observed a robust linear increase in local normalized cSNV-count with increasing G4 content in cancer patients (Figure 2C).”
Quote in the paperSubstantial claim - Findingown data
The Pearson correlation between cSNVs and G4s was 2.4-fold stronger (r = 0.194) than the correlation between dbSNVs and G4s (r = 0.082).
“the Pearson correlation between cSNVs and G4s was 2.4-fold stronger (Pearson's r: 0.194) than the correlation between dbSNVs and G4s (Pearson's r: 0.082).”
Quote in the paperSubstantial claim - Findingown data
When stratifying cSNVs based on G4s per genomic 5 kb window, the intra-group variation was often larger than the inter-group difference.
“When stratifying cSNVs based on G4s per genomic 5 kb window, the intra-group variation was often larger than the inter-group difference, making it challenging to establish a clear relationship.”
Quote in the paperSubstantial claim - Findingown data
Increasing G4-levels in genomic windows with common dbSNVs did not result in an increase.
“This effect was exclusively linked to cancer patients, as increasing G4-levels in genomic windows with common dbSNVs did not result in an increase.”
Quote in the paperSubstantial claim - Findingown data
cSNVs were located more proximally downstream of G4s, with a 95% CI spanning 63-391 bp.
“cSNVs were located more proximally downstream of G4s, with a 95% CI spanning 63–391 bp.”
Quote in the paperSubstantial claim - Findingown data
No significant enrichment of cSNVs or dbSNVs at random G4-like sequences was observed.
“While no significant enrichment of cSNVs or dbSNVs at random G4-like sequences was observed”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in cSNV-content across genomic windows with zero, non-zero, or more than ten random G4-like sequences in a simulated genome containing 50 million random G4-like sequences.
“In contrast, there was no significant difference in cSNV-content across genomic windows with zero, non-zero, or more than ten random G4-like sequences in a simulated genome containing 50 million random G4-like sequences (Figure 2A).”
Quote in the paperSubstantial claim - Findingown data
dbSNVs were predominantly located upstream of G4s, with a 95% CI ranging from -2143 to -447 bp.
“dbSNVs were predominantly located upstream of G4s, with a 95% CI ranging from –2143 to –447 bp.”
Quote in the paperSubstantial claim - Findingown data
There was a corresponding significant increase of cSNVs with increasing GC-normalized G4s per window.
“In line with our earlier findings, we observed a corresponding significant increase of cSNVs with increasing GC-normalized G4s per window, indicating that the local increase in cSNVs can be attributed to G4s rather than the GC-content (Figure 2B).”
Quote in the paperSubstantial claim - Findingown data
G4-levels were 2.8-fold increased in cancer genes compared to non-cancer genes.
“Overall, the G4-levels were 2.8-fold increased in cancer genes compared to non-cancer genes (Figure 2D).”
Quote in the paperSubstantial claim - Findingown data
Genomic windows without G4s contained significantly less cSNVs (mean 6.5, median 0) compared to genomic windows containing at least one G4 (mean 10.8, median 0) (ind. t-test = -44.238, P < 0.001).
“Our results show that genomic windows without G4s contained significantly (ind. t-test = –44.238, P < 0.001) less cSNVs (mean: 6.5 cSNVs, median: 0 cSNVs) compared to genomic windows containing at least one G4 (mean: 10.8 cSNVs, median: 0 cSNVs).”
Quote in the paperSubstantial claim - Findingown data
Cancer-specific disparities in cSNV distribution were primarily limited to genomic windows with G4s, particularly in those with ten or more G4s.
“When comparing the normalized cSNV counts in genomic windows containing either zero, non-zero or ten or more G4s, we found that cancer-specific disparities in cSNV distribution were primarily limited to genomic windows with G4s, particularly in those with ten or more G4s.”
Quote in the paperSubstantial claim - Findingown data
dbSNVs are predominantly located upstream of G4s.
“with cSNVs predominantly located downstream and dbSNVs predominantly located upstream of G4s.”
Quote in the paperNot a substantial claim - Findingown data
Some tissues were primarily linked to cancer types with high G4-averages.
“Interestingly, we found that some tissues were primarily linked to cancer types with high G4-averages, hinting at a potential tissue-specific effect on the distribution of cSNVs in cancer-related genomic regions involving G4 structures.”
Quote in the paperNot a substantial claim - Findingown data
The difference between the highest and lowest G4-averages across all cancer types was substantial, spanning three orders of magnitude.
“The difference between the highest and lowest G4-averages across all cancer types was substantial, spanning three orders of magnitude (Figure 3D).”
Quote in the paperNot a substantial claim - Findingown data
All cancer types displayed an increase in normalized cSNVs in genomic windows with 10 or more G4s compared to windows without G4s.
“Furthermore, all cancer types displayed an increase in normalized cSNVs in genomic windows with 10 or more G4s compared to windows without G4s.”
Quote in the paperSubstantial claim - Findingown data
The variations within each cancer type were relatively consistent across different cancer types, with a median standard deviation of 2.1 times the mean and an interquartile range (IQR) of 0.136.
“Our analysis showed that the variations within each cancer type were relatively consistent across different cancer types, with a median standard deviation of 2.1 times the mean and an interquartile range (IQR) of 0.136.”
Quote in the paperNot a substantial claim - Findingown data
Only 12% of cSNVs are located within exonic G4-motifs.
“with only 12% of cSNVs being located within exonic G4-motifs.”
Quote in the paperSubstantial claim - Findingown data
The increased density of cSNVs in the flanking regions of G4s cannot be explained by GC-content.
“our results show that the increased density of cSNVs in the flanking regions of G4s cannot be explained by the GC-content, as we observed a qualitatively similar increase in cSNVs in genomic windows with high GC-normalized G4s.”
Quote in the paperSubstantial claim - Findingown data
The 95% confidence intervals for neither cSNVs nor dbSNVs extend to the locations of G4s.
“Interestingly, the 95% confidence intervals for neither cSNVs nor dbSNVs extend to the locations of G4s”
Quote in the paperSubstantial claim - Findingown data
cSNVs are predominantly located downstream of G4s.
“with cSNVs predominantly located downstream and dbSNVs predominantly located upstream of G4s.”
Quote in the paperSubstantial claim - Findingown data
G4s, cSNVs and dbSNVs colocalize on a genomic scale.
“We observed that G4s, cSNVs and dbSNVs colocalize on a genomic scale.”
Quote in the paperSubstantial claim - Findingown data
Significant differences were observed in the strength of the correlation between G4s and cSNVs among different cancer- and tissue-types.
“Significant differences were observed in the strength of the correlation between G4s and cSNVs among different cancer- and tissue-types.”
Quote in the paperSubstantial claim - Findingown data
cSNVs of patients suffering from acute myeloid leukemia consistently appeared in sections of the genome with a high normalized G4-average of 7.3.
“For instance, cSNVs of patients suffering from acute myeloid leukemia consistently appeared in sections of the genome with a high normalized G4-average of 7.3, while other cancer types showed more varied associations.”
Quote in the paperNot a substantial claim - Findingown data
In genomic windows with ten or more G4s, the most significant differences in normalized cSNV counts occurred across various cancer types such as multiple myeloma or cholangiocarcinoma.
“In these regions, the most significant differences in normalized cSNV counts occurred across various cancer types such as multiple myeloma or cholangiocarcinoma.”
Quote in the paperSubstantial claim - Findingown data
Most cSNVs are located in the 5 kb flanking regions of G4s rather than within the G4-motifs themselves.
“revealing that most cSNVs are located in the 5 kb flanking regions of G4s rather than within the G4-motifs themselves”
Quote in the paperSubstantial claim - Findingown data
In cancer patients, an increasing number of local PQSs is associated with increasing local genomic instability, as represented by high local cSNV content.
“Our results show that with an increasing number of local PQSs there is increasing local genomic instability (as represented by high local cSNV content) in cancer patients.”
Quote in the paperSubstantial claim - Findingown data
There is no local increase in dbSNVs observed in genomic windows with increasing G4-content.
“there was no local increase in dbSNVs observed in genomic windows with increasing G4-content.”
Quote in the paperSubstantial claim - Findingown data
Some cancers, like malignant melanoma (normalized G4-average: 0.08) or multiple myeloma (normalized G4-average: 0.12), displayed consistently low normalized G4-averages in the genomic sections where cSNVs were found, across patients with these diagnoses.
“Some cancers, like malignant melanoma (normalized G4-average: 0.08) or multiple myeloma (normalized G4-average: 0.12), displayed consistently low normalized G4-averages in the genomic sections where cSNVs were found, across patients with these diagnoses.”
Quote in the paperNot a substantial claim - Findingreasoning
Windows containing clusters of G4s display a higher ratio of cSNVs compared to those with fewer G4s.
“the finding that windows containing clusters of G4s display a higher ratio of cSNVs compared to those with fewer G4s”
Quote in the paperSubstantial claim - Findingown data
There was no significant impact of the individual cSNV count on the survival rate.
“In contrast, there was no significant impact of the individual cSNV count on the survival rate.”
Quote in the paperSubstantial claim - Findingown data
The G4-average serves as a significant prognostic marker (P < 0.005) with a relative hazard coefficient of 0.38.
“Our analysis revealed that the G4-average serves as a significant prognostic marker (P < 0.005) with a relative hazard coefficient of 0.38.”
Quote in the paperSubstantial claim- Rests on an assumption: The proportional hazards assumption of the Cox proportional hazards model holds for the G4-average survival analysis.
- Rests on an assumption: The survival status and cause of death recorded in the metadata are accurate.
- Findingown data
There is a weaker but still significant genome-wide spatial correlation between G4s and dbSNVs.
“Although there was a weaker but still significant genome-wide spatial correlation between G4s and dbSNVs”
Quote in the paperSubstantial claim - Findingown data
There are substantial tissue- and cancer-specific disparities in the global normalized G4-average of genomic windows containing cSNVs.
“Our results reveal substantial tissue- and cancer-specific disparities in the global normalized G4-average of genomic windows containing cSNVs.”
Quote in the paperSubstantial claim - Findingown data
Cancers that originated from tissues like bone marrow, thyroid and the adrenal glands consistently displayed a higher G4-average.
“Cancers that originated from tissues like bone marrow, thyroid and the adrenal glands consistently displayed a higher G4-average.”
Quote in the paperNot a substantial claim - Findingown data
The differences within each cancer type were often more substantial than the differences observed between distinct cancer types.
“Interestingly, the differences within each cancer type were often more substantial than the differences observed between distinct cancer types.”
Quote in the paperNot a substantial claim - Findingown data
In genomic windows without G4s, normalized cSNV counts remained consistent across different cancer types.
“Conversely, in genomic windows without G4s, normalized cSNV counts remained consistent across different cancer types, indicating that cancer-specific changes in cSNV density are limited to genomic regions harboring G4s (Figure 3C).”
Quote in the paperSubstantial claim - Findingown data
The correlation between cSNVs and G4s remained highly significant after controlling for GC-content, with only a minor decrease in the Pearson's correlation coefficient.
“Furthermore, the correlation between cSNVs and G4s still remained highly significant after controlling for GC-content, with only a minor decrease in the Pearson's correlation coefficient.”
Quote in the paperSubstantial claim - Findingown data
The density distribution of both cSNVs and dbSNVs is maximized in direct proximity of G4s.
“The density distribution of both cSNVs and dbSNVs is maximized in direct proximity of G4s.”
Quote in the paperSubstantial claim - Findingown data
A significant linear correlation for common dbSNVs could not be approximated.
“Consistent with our prior findings, we could not approximate a significant linear correlation for common dbSNVs (Figure 3B).”
Quote in the paperNot a substantial claim - Findingown data
There is a strong link between G4s and cSNV enrichment, especially in cancer-related genes.
“The strong link between G4s and cSNV enrichment, especially in cancer-related genes, emphasizes the potential of G4s as a tool for predicting genomic regions more likely to harbor cancer-related mutations.”
Quote in the paperSubstantial claim - Findingown data
There are striking differences in the spatial correlation of cSNVs and G4s across different cancer types.
“Considering the observed striking differences in the spatial correlation of cSNVs and G4s across different cancer types, our results underscore the significance of stratifying patients based on their specific cancer diagnoses.”
Quote in the paperSubstantial claim - Findingreasoning
The correlation of cSNVs or dbSNVs with G4s differs between cancer and non-cancer cells.
“In contrast, the selection pressure for proliferation-enhancing mutations is much lower in non-cancer cells – thereby providing a possible explanation for the observed differences in the correlation of cSNVs or dbSNVs and G4s.”
Quote in the paperSubstantial claim - Findingown data
There is a connection between the patient-specific G4-average in regions with cSNVs and individual survival times.
“Most importantly, we observed a connection between the patient-specific G4-average in regions with cSNVs and individual survival times.”
Quote in the paperSubstantial claim - Findingreasoning
There is an observed difference between cSNVs and dbSNVs.
“One possible explanation for the observed difference between cSNVs and dbSNVs could be system-wide alterations in cancer cells, which are often characterized by increased replication stress, altered DNA repair mechanisms or changes in chromatin structure (85,86).”
Quote in the paperSubstantial claim - Findingnone given
There is an observed correlation between cSNVs and G4s in cancer patients.
“The observed correlation between cSNVs and G4s in cancer patients highlights the importance of G4s in cancer development and emphasizes the need for a deeper understanding of the molecular mechanisms involved.”
Quote in the paperNot a substantial claim - Findingnone given
There are substantial differences in G4-averages across cancer types.
“However, the substantial differences in G4-averages across cancer types necessitate further optimization before the G4-average can be used as a reliable prognostic marker.”
Quote in the paperSubstantial claim - Interpretationown data
cSNVs have a stronger spatial correlation with G4s than dbSNVs.
“signifying a stronger spatial correlation between cSNVs and G4s.”
Quote in the paperSubstantial claim - Interpretationown data
The increase in cSNVs is largely driven by the presence of G4s rather than GC content.
“Taken together, these results further indicate that the increase in cSNVs is largely driven by the presence of G4s rather than GC content.”
Quote in the paperSubstantial claim- Rests on an assumption: The association between G4 content and cSNVs is not due to unmeasured confounding factors other than GC content.
- Interpretationown data
The local increase in cSNVs can be attributed to G4s rather than the GC-content.
“In line with our earlier findings, we observed a corresponding significant increase of cSNVs with increasing GC-normalized G4s per window, indicating that the local increase in cSNVs can be attributed to G4s rather than the GC-content (Figure 2B).”
Quote in the paperSubstantial claim- Rests on an assumption: The association between G4 content and cSNVs is not due to unmeasured confounding factors other than GC content.
- Interpretationown data
The effect of G4s on local cSNV number is G4-dependent.
“Moreover, in windows containing a large (≥10) number of G4s, the local number of cSNVs was on average 7.6-fold increased (mean: 49.5 cSNVs, median: 28 cSNVs, ind. t-test = –89.601, P < 0.001) compared to windows without G4s, indicating that the effect is G4-dependent.”
Quote in the paperSubstantial claim- Rests on an assumption: The association between G4 content and cSNVs is not due to unmeasured confounding factors other than GC content.
- Interpretationown data
The SNV landscape in cancer is heterogeneous.
“highlighting the heterogeneity of the SNV landscape in cancer”
Quote in the paperSubstantial claim - Interpretationown data
cSNVs and dbSNVs have different mechanisms for their generation and accumulation.
“implying different mechanisms for their generation and accumulation”
Quote in the paperSubstantial claim - Interpretationown data
G4s contribute to localized SNV-mediated genomic instability in cancer patients at a more granular scale.
“Overall, our findings demonstrate a strong association between G4 content and local cSNV enrichment, indicating that G4s contribute to localized SNV-mediated genomic instability in cancer patients at a more granular scale.”
Quote in the paperSubstantial claim- Rests on an assumption: The association between G4 content and cSNVs is not due to unmeasured confounding factors other than GC content.
- Interpretationown data
G4s potentially drive cSNVs (G4-mediated genomic instability may contribute to the accumulation of somatic mutations).
“suggesting a potential role for G4s in driving cSNVs”
- Also stated in: § Introduction · hedged
“suggesting a potential link between G4-mediated genomic instability and the accumulation of somatic mutations”
Quote in the paperSubstantial claim - Also stated in: § Introduction · hedged
- Interpretationown data
There is a potential tissue-specific effect on the distribution of cSNVs in cancer-related genomic regions involving G4 structures.
“Interestingly, we found that some tissues were primarily linked to cancer types with high G4-averages, hinting at a potential tissue-specific effect on the distribution of cSNVs in cancer-related genomic regions involving G4 structures.”
Quote in the paperNot a substantial claim - Interpretationown data
The patient-specific global G4-average is a potential prognostic biomarker associated with poor prognosis.
“Additionally, we identify the patient-specific global G4-average as a potential prognostic biomarker associated with poor prognosis.”
Quote in the paperSubstantial claim- Rests on an assumption: The proportional hazards assumption of the Cox proportional hazards model holds for the G4-average survival analysis.
- Rests on an assumption: The survival status and cause of death recorded in the metadata are accurate.
- Interpretationown data
G4s potentially influence cSNV distribution independent of GC-content.
“This underscores the potential influence of G4s on cSNV distribution, independent of GC-content.”
Quote in the paperSubstantial claim - Interpretationown data
Cancer-specific changes in cSNV density are limited to genomic regions harboring G4s.
“Conversely, in genomic windows without G4s, normalized cSNV counts remained consistent across different cancer types, indicating that cancer-specific changes in cSNV density are limited to genomic regions harboring G4s (Figure 3C).”
Quote in the paperSubstantial claim - Interpretationown data
Two patients with the same cancer diagnosis might have greater disparities in their G4-averages than patients with different cancer types.
“This suggests that two patients with the same cancer diagnosis might have greater disparities in their G4-averages than patients with different cancer types (Figure 3E).”
Quote in the paperSubstantial claim - Interpretationreasoning
Different mechanisms may underlie the generation and accumulation of cSNVs and dbSNVs.
“The observed distinct spatial patterns of cSNVs and dbSNVs in relation to G4s imply that different mechanisms may underlie their generation and accumulation.”
Quote in the paperSubstantial claim - Interpretationreasoning
G4-mediated genomic instability could also be significant in exonic regions, potentially impacting protein function and stability rather than transcriptional regulation.
“In line with these findings, our study suggests that G4-mediated genomic instability could also be significant in exonic regions, potentially impacting protein function and stability rather than transcriptional regulation.”
Quote in the paperNot a substantial claim - Interpretationown data
The density distribution of cSNVs is unique in being in close proximity to, but not within, G4s.
“this highlights the unique density distribution of cSNVs in close proximity to, but not within, G4s.”
Quote in the paperSubstantial claim - Interpretationown data
There is likely at least a partial causal relationship between G4s and genomic instability in cancer development.
“our ability to predict patient survival rates based on G4 content provides strong evidence that there is likely at least a partial causal relationship between G4s and genomic instability in cancer development.”
Quote in the paperSubstantial claim - Interpretationown data
There is substantial variation in the association of G4s and cSNVs across different cancer types and tissues, suggesting a possible tissue-specific influence on the G4-associated distribution of cSNVs in cancer-related genomic regions.
“In summary, our findings demonstrate a substantial variation in the association of G4s and cSNVs across different cancer types and tissues, suggesting a possible tissue-specific influence on the G4-associated distribution of cSNVs in cancer-related genomic regions.”
Quote in the paperSubstantial claim - Interpretationcitation
The therapeutic efficacy of CX-5461 may largely rely on the induction of genomic instability and a compromised DNA damage response.
“suggesting that the therapeutic efficacy of CX-5461 may largely rely on the induction of genomic instability and a compromised DNA damage response (92).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [92] Xu, 2022, A first-in-class clinical G-quadruplex-targeting drug. The bench-to-bedside translation of the fluoroquinolone QQ58 to CX-5461 (Pidnarulex), Bioorg. Med. Chem. Lett. source
- Interpretationown data
High G4-content can serve as a useful prognostic marker for predicting the local density of cSNVs in cancer patients.
“Lastly, our findings suggest that high G4-content can serve as a useful prognostic marker for predicting the local density of cSNVs in cancer patients.”
Quote in the paperSubstantial claim - Interpretationown data
Analyzing the G4-average in regions with cSNVs could provide valuable insights into a patient's survival outlook.
“This observation has significant implications for personalized cancer prognosis and treatment, as it suggests that analyzing the G4-average in regions with cSNVs could provide valuable insights into a patient's survival outlook.”
Quote in the paperSubstantial claim - Interpretationreasoning
The selection pressure for proliferation-enhancing mutations is much lower in non-cancer cells than in cancer cells.
“In contrast, the selection pressure for proliferation-enhancing mutations is much lower in non-cancer cells – thereby providing a possible explanation for the observed differences in the correlation of cSNVs or dbSNVs and G4s.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 20
- May combine two claims. 31
Classified as probably not a substantial claim. May combine two claims.
PremisecitationG4s were reported to cluster in functional regions and are enriched in genes involved in cancer formation.
“Given that G4s were reported to cluster in functional regions and are enriched in genes involved in cancer formation (59), we hypothesized that cancer-specific genes might contain higher G4-levels, thus explaining the observed exclusive correlation in cancer patients.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [59] Hui, 2021, Single-cell mapping of DNA G-quadruplex structures in human cancer cells, Sci. Rep. source
The Results and discussion section (no page available) reports G4s at gene promoters, supporting their presence in functional regions. It also reports that 28% of the top 50 differentially enriched promoter G4 peaks in MCF7 cells were associated with genes showing increased copy number. It does not establish that G4s are enriched in genes involved in cancer formation. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn increased frequency of SNVs can disrupt the normal function and regulation of genes, potentially leading to the development and progression of cancer.
“In this context, we considered local cSNV or dbSNV enrichment as marker for local genomic instability, as an increased frequency of SNVs can disrupt the normal function and regulation of genes, potentially leading to the development and progression of cancer (58).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [58] Lemmens, 2015, Mutagenic consequences of a single G-quadruplex demonstrate mitotic inheritance of DNA replication fork barriers, Nat. Commun. source
The Abstract reports G-quadruplex-induced deletions, and the Discussion compares more extensive rearrangements with those found in cancer cells. Neither passage addresses whether an increased frequency of SNVs disrupts gene function or regulation and contributes to cancer development or progression; searches for SNVs, point mutations, and those cancer effects found no such passage in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationRecent studies have demonstrated the involvement of G4s in inducing or aggravating genomic damage, such as copy number alterations, deletions or translocations.
“Recent studies have demonstrated the involvement of G4s in inducing or aggravating genomic damage, such as copy number alterations, deletions or translocations (65).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [65] Sauer, 2017, G-quadruplex unwinding helicases and their function in vivo, Biochem. Soc. Trans. source
The passages labeled Abstract contain bibliographic metadata and a ‘GENOME INSTABILITY’ keyword, but no discussion of G4s causing genomic damage. Searches for copy-number alterations, deletions, translocations, and chromosome rearrangements returned no substantive passage, so our copy cannot verify the claim. (LLM, conf=0.70)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDeregulated or ligand-induced G4-formation is associated with the activation of DNA-damage responses, implying that aberrant G4-formation triggers similar pathways as DNA-damage.
“deregulated or ligand-induced G4-formation is associated with the activation of DNA-damage responses, implying that aberrant G4-formation triggers similar pathways as DNA-damage (83).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [83] Miglietta, 2022, Ligands stimulating antitumour immunity as the next G-quadruplex challenge, Mol. Cancer source
Classified as probably not a substantial claim.
PremisecitationDNA polymerase errors during replication or repair processes at G4 loci contribute to elevated mutagenesis due to steric, G4 mediated inhibition.
“One possibility is that DNA polymerase errors during replication or repair processes at G4 loci contribute to elevated mutagenesis due to steric, G4 mediated inhibition (78).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [78] Stein, 2022, Variation in G-quadruplex sequence and topology differentially impacts human DNA polymerase fidelity, DNA Repair (Amst.) source
May combine two claims.
PremisecitationThe application of G4-stabilizing ligands has been observed to activate DDRs and arrest cells in G2-phase, hinting at an increase in genomic instability due to aberrant G4 formation.
“Moreover, the application of G4-stabilizing ligands has been observed to activate DDRs and arrest cells in G2-phase, hinting at an increase in genomic instability due to aberrant G4 formation (30).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [30] Lerner, 2019, Replication of G quadruplex DNA, Genes source
Section 4.2 reports genetic instability in budding yeast treated with a G4-stabilising ligand and interrupted DNA synthesis when G4s are stabilised with ligands in wild-type cells. It does not report that the ligands activate DNA damage responses or arrest cells in G2 phase (searched: DNA damage response, DDR, and G2-phase). The genomic-instability implication is supported, but those specific observed effects are not. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationG-rich sequences, like G4 motifs, are prone to oxidative DNA damage, which can lead to mutations if not repaired properly.
“Additionally, G-rich sequences, like G4 motifs, are prone to oxidative DNA damage, which can lead to mutations if not repaired properly (76).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [76] Biffi, 2014, Elevated levels of G-quadruplex formation in human stomach and liver cancer tissues, PLoS One source
The Introduction (page unavailable) says G-quadruplexes form from guanine-rich sequences and that stabilizing them with a small molecule can induce DNA damage. It does not say G-rich sequences are especially prone to oxidative DNA damage or that unrepaired oxidative damage leads to mutations; searches for oxidative damage and 8-oxoG found no such passage. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationFurther reports demonstrated that G4s cause replication-dependent DNA-damage or change the overall chromatin structure.
“Further reports demonstrated that G4s cause replication-dependent DNA-damage or change the overall chromatin structure (66,67).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [66] Sato, 2021, Multistep mechanism of G-quadruplex resolution during DNA replication, Sci. Adv. source
The Introduction reports that DNA damage induced by G4-stabilizing ligands is replication dependent. The Discussion links G4-related polymerase stalling to possible replication-associated breaks, but also says that G4 structures do not directly cause an accumulation of DNA damage under unperturbed conditions. The claim omits those conditions and presents the damage link more categorically than this paper does. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [67] Valton, 2016, G-Quadruplexes in DNA replication: a problem or a necessity, Trends Genet. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationG4s have been predominantly associated with the promoters of oncogenes such as MYC, KIT or KRAS, where their stabilization is associated with suppressed oncogene expression.
“While G4s have been predominantly associated with the promoters of oncogenes such as MYC, KIT or KRAS (23–25), where their stabilization is associated with suppressed oncogene expression”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [23] Eilers, 2008, Myc's broad reach, Genes Dev. source
The passages from “Transcriptional regulation by Myc” and “In and out of the E-box?” discuss Myc’s effects on gene expression and its binding to promoter sequences, but not G-quadruplexes. Searches for G4s in MYC, KIT, or KRAS promoters and for suppression of oncogene expression through G4 stabilization found no passage addressing the claim. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites [24] Lutz, 2002, Contributions of Myc to tumorigenesis, Biochim. Biophys. Acta source
- cites [25] Meyer, 2008, Reflecting on 25 years with MYC, Nat. Rev. Cancer source
May combine two claims.
PremisecitationG4s are highly susceptible to oxidative damage, as G-rich sequences have a low redox-potential and thus can act as ROS-sinks.
“Furthermore, G4s are highly susceptible to oxidative damage, as G-rich sequences have a low redox-potential and thus can act as ROS-sinks (84).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [84] Wu, 2023, Crosstalk between G-quadruplex and ROS, Cell Death. Dis. source
The Introduction says guanine has a low redox potential, and the “ROS and G4S” section says G4s are highly susceptible to ROS-mediated oxidative damage because they are G-rich. The paper suggests that greater G4 stability may increase the antioxidant capacity of telomeres, but it does not establish that G4s generally act as ROS sinks. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationG4s can be detected in patient-derived tissues using immunohistochemistry, with a significantly elevated number of G4-positive nuclei observed in human cancers of the liver and stomach compared to non-neoplastic tissue.
“recent studies have shown that G4s can be detected in patient-derived tissues using immunohistochemistry, with a significantly elevated number of G4-positive nuclei observed in human cancers of the liver and stomach compared to non-neoplastic tissue (76).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [76] Biffi, 2014, Elevated levels of G-quadruplex formation in human stomach and liver cancer tissues, PLoS One source
May combine two claims.
InterpretationcitationElevated G-quadruplex formation might be a characteristic of some cancers and G4s could contribute to genomic instability in cancer patients.
“This suggests that elevated G-quadruplex formation might be a characteristic of some cancers and supports the hypothesis that G4s could contribute to genomic instability in cancer patients (76).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [76] Biffi, 2014, Elevated levels of G-quadruplex formation in human stomach and liver cancer tissues, PLoS One source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationG4s hold various regulatory functions in transcription and translation.
“However, G4s hold various regulatory functions in transcription and translation (20)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] Lago, 2021, Promoter G-quadruplexes and transcription factors cooperate to shape the cell type-specific transcriptome, Nat. Commun. source
The Introduction and Results describe several ways G4s may regulate transcription, including effects on RNA polymerase, transcription-factor binding, and gene expression. The passages do not establish a regulatory role in translation; the Results discuss 5′UTRs in relation to transcription, not protein synthesis. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationError-prone polymerases might be engaged at slowed or stalled replication forks to ensure complete G4 replication, as specialized polymerases like eta, kappa, and Rev1 are essential for G4 stability, further increasing the density of localized genomic damages.
“Error-prone polymerases might be engaged at slowed or stalled replication forks to ensure complete G4 replication, as specialized polymerases like eta, kappa, and Rev1 are essential for G4 stability – further increasing the density of localized genomic damages (26,78–80).”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [26] Rodriguez, 2012, Small-molecule-induced DNA damage identifies alternative DNA structures in human genes, Nat. Chem. Biol. source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [78] Stein, 2022, Variation in G-quadruplex sequence and topology differentially impacts human DNA polymerase fidelity, DNA Repair (Amst.) source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [79] Fleming, 2020, Interplay of guanine oxidation and G-quadruplex folding in gene promoters, J. Am. Chem. Soc. source
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [80] Estep, 2019, G4-interacting DNA helicases and polymerases: potential therapeutic targets, Curr. Med. Chem. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCellular treatment with G4 ligands, such as PDS or 20A, is linked to anti-tumorigenic effects and G2/M cell cycle arrest.
“One study has linked cellular treatment with G4 ligands, such as PDS or 20A, to anti-tumorigenic effects and G2/M cell cycle arrest (71).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [71] Beauvarlet, 2019, Modulation of the ATM/autophagy pathway by a G-quadruplex ligand tips the balance between senescence and apoptosis in cancer cells, Nucleic Acids Res. source
The Discussion reports that the G4 ligand 20A inhibits cancer-cell growth in vitro and in vivo, supporting the anti-tumorigenic part of the claim. The Results describe growth arrest through senescence and apoptosis, but do not identify it as G2/M arrest; the passages found also do not establish the claimed effect for PDS (searched: G2/M, PDS/pyridostatin, and cell-cycle arrest). (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationG4-associated intratumor heterogeneity exists in breast cancer patient-derived tumor xenografts beyond current classifications.
“as a recent study revealed G4-associated intratumor heterogeneity in breast cancer patient-derived tumor xenografts beyond current classifications (90).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [90] Hänsel-Hertsch, 2020, Landscape of G-quadruplex DNA structural regions in breast cancer, Nat. Genet. source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationCancer cells are often characterized by increased replication stress, altered DNA repair mechanisms or changes in chromatin structure.
“One possible explanation for the observed difference between cSNVs and dbSNVs could be system-wide alterations in cancer cells, which are often characterized by increased replication stress, altered DNA repair mechanisms or changes in chromatin structure (85,86).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [85] Cairns, 2011, Regulation of cancer cell metabolism, Nat. Rev. Cancer source
- cites [86] Li, 2020, DNA repair pathways in cancer therapy and resistance, Front. Pharmacol. source
The ‘Role of DNA Repair Pathways in Cancer Biology’ section (page unavailable) describes defects and downregulation of DNA repair pathways in cancers, supporting the altered-repair part of the claim. The passages found do not establish that cancer cells are often characterized by increased replication stress or changes in chromatin structure; searches for those terms did not find support for those parts. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThere is a significant correlation of G4s and cSNVs in the absence of GC-content (P-value: 0), with only a slight decrease in Pearson's r from 0.173 to 0.158.
“Our results show a significant correlation of G4s and cSNVs in the absence of GC-content (P-value: 0), with only a slight decrease in Pearson's r from 0.173 to 0.158.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the MYC gene, most cSNVs are located in the second coding exon, which is also the only coding exon to contain G4s.
“Similarly, in the MYC gene, most cSNVs are located in the second coding exon, which is also the only coding exon to contain G4s.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLength-normalized cancer genes contain a median average of 15 G4s per gene (mean: 27), while non-cancer genes contain a median average of 6 G4s per gene (mean: 15).
“Comparing the average number of G4s in cancer or non-cancer genes, we found length-normalized cancer genes to contain a median average of 15 G4s per gene (mean: 27), while non-cancer genes contained a median average of 6 G4s per gene (mean: 15).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe difference in dbSNV-levels for varying G4-levels is less pronounced and not significant in both cancer- and non-cancer genes.
“However, consistent with earlier results, the difference in dbSNV-levels for varying G4-levels is less pronounced and not significant in both cancer- and non-cancer genes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe relationship between G4s and cSNVs differs across cancer and tissue types (large cancer-specific differences / variations in the strength of the correlation).
“We further demonstrate large, cancer-specific differences in the relationship of G4s and cSNVs”
- Also stated in: § Introduction · plain
“we observed variations in the strength of this correlation among different cancer- and tissue types”
Quote in the paperSubstantial claim- Also stated in: § Introduction · plain
May combine two claims.
Findingown dataIn 736 hallmark cancer genes, the normalized density distributions of cSNVs and G4s were frequently corresponding and equally clustered in similar exons, with a significant positive correlation (Pearson's r = 0.243, P < 0.001).
“We found that the normalized density distributions of cSNVs and G4s were frequently corresponding and equally clustered in similar exons of these genes, with a significant positive correlation (Pearson's r = 0.243, P < 0.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHigher G4-content in cancer genes is excluded as the origin of the observed effect, as the observation prevailed after normalizing the data to cancer genes.
“However, our results exclude the higher G4-content in cancer genes as origin of this effect, as this observation prevailed even after normalizing the data to cancer genes.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningGenomic windows with more than 15 G4s were excluded due to statistically insufficient window quantities to ensure reliability of G4 data.
“To ensure the reliability of the G4 data, we excluded genomic windows with more than 15 G4s due to statistically insufficient window quantities.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThere is a strong spatial correlation between cSNVs and G4s in cancer patients, and a weaker but still significant correlation between dbSNVs and G4s.
“Overall, our analysis suggests a strong spatial correlation between cSNVs and G4s in cancer patients, as well as a weaker but still significant correlation between dbSNVs and G4s.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenLinear regression models were tested with data randomly split into 70% training and 30% test data.
“Wherever we tested the linear regression models, data were randomly split into 70% training data and 30% test data.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataPartial correlation between G4s and cSNVs per window was calculated controlling for GC-content as a fraction of base pairs.
“Partial correlation between the number of G4s per window and the number of cSNVs per window was calculated using the pingouin package in python (Version 0.5.3) and controlling for the GC-content as a fraction of base pairs in each genomic window.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data96% of the variance in the dataset can be explained by the linear relationship between cSNVs and G4s, demonstrating a strong correlation between G4s and cSNVs in cancer patients.
“This value indicates that 96% of the variance in the dataset can be explained by the linear relationship between cSNVs and G4s and demonstrated the strong correlation between G4s and cSNVs in cancer patients.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataHigh G4 content can serve as a prognostic marker for local cSNV density and patient survival rates.
“we show that high G4-content can serve as a prognostic marker for local cSNV density and patient survival rates”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningKnown germline mutations were removed by intersecting cSNVs with common SNVs, and cancer types with fewer than 10 samples were excluded, to ensure statistical reliability.
“To ensure statistical reliability, we removed known germline mutations by intersecting cSNVs with common SNVs and excluded cancer types with less than 10 samples.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe observed correlation between cSNVs and G4s is present both genome-wide and on an intragenic level.
“These findings suggest that the observed correlation between cSNVs and G4s is present both genome-wide and on an intragenic level.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationExperimentally validated G4s were used to ensure a high level of confidence in the results.
“We used experimentally validated G4s in our study to ensure a high level of confidence in our results.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Balasubramanian et al. [10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataFor each one-unit increase in G4-average, the hazard of cancer-related death increases by 38%, associating high G4-averages with a worse prognosis.
“This implies that for each one-unit increase in G4-average, the hazard of cancer-related death increases by 38%, associating high G4-averages with a worse prognosis (Figure 3F).”
Quote in the paperSubstantial claim- Rests on an assumption: The proportional hazards assumption of the Cox proportional hazards model holds for the G4-average survival analysis.
- Rests on an assumption: The survival status and cause of death recorded in the metadata are accurate.
May combine two claims.
InterpretationreasoningG4s might be drivers of local cSNV formation in cancer patients, while having a lesser effect on SNVs outside of cancer.
“Thus, our results indicate that G4s might be drivers of local cSNV formation in cancer patients, while having a lesser effect on SNVs outside of cancer.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe study correlated local PQS rather than formed G4s with cSNVs, so it cannot establish causality or directionality between G4s and cSNVs.
“An important limitation of our study is that we correlated local PQS rather than formed G4s with cSNVs – thus, we cannot establish causality between G4s and cSNVs.”
- Also stated in: § Discussion · plain
“It is important to note that our correlative study design has a significant limitation: We cannot make a definitive assumption about the directionality of the correlation, i. e. whether cSNVs correlate with G4s (with G4s as drivers of nucleotide variation) or G4s correlate with cSNVs (with cSNVs providing more permissive conditions for the formation of G4-sequences).”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
InterpretationreasoningThese mechanisms predominantly substantiate the presence of SNVs within PQS or their immediate adjacent regions and do not directly account for the observed elevation in cSNV-frequencies in G4-rich multi-kilobase pair windows.
“Nevertheless, while these mechanisms could explain how G4s drive genome plasticity through nucleotide variation, they predominantly substantiate the presence of SNVs within PQS or their immediate adjacent regions. They do not directly account for our observed elevation in cSNV-frequencies in G4-rich multi-kilobase pair windows.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningIf other G4s are within sufficient distance, R-loops might extend and open the chromatin, allowing additional R-loop formation in adjacent G4s and further extension of single-stranded DNA regions, which would not be possible for solitary G4s.
“If other G4s are within sufficient distance, R-loops might extend and open the chromatin, allowing additional R-loop formation in the adjacent G4s and further extension of single-stranded DNA regions. This would not be possible for solitary G4s.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningClustered G4s could lead to clusters of single-stranded R-loops in the flanking region of G4s that would be more susceptible to DNA damage.
“As G4s often occur clustered, this could lead to clusters of single-stranded R-loops in the flanking region of G4s that would be more susceptible to DNA damage.”
Quote in the paperNot a substantial claim- Rests on an assumption: G4s often occur clustered.
May combine two claims.
InterpretationreasoningTaken together, these findings point to a scenario in which G4s pre-exist and potentially function as initiators for the occurrence of cSNVs.
“Taken together, these findings point to a scenario in which G4s pre-exist and potentially function as initiators for the occurrence of cSNVs.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThere is a distinct cSNV landscape in cancer patients compared to dbSNVs, which could partly originate from their similar pathogenetic backgrounds.
“This suggests that there is a distinct cSNV landscape in cancer patients compared to dbSNVs, which could partly originate from their similar pathogenetic backgrounds.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThis R-loop mechanism could explain why cSNVs tend to accumulate in the immediate vicinity of G4s rather than within the G4 motif itself.
“This observation could explain why cSNVs tend to accumulate in the immediate vicinity of G4s rather than within the G4 motif itself.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenThe model's relatively low concordance likely originates from the heterogeneous training data.
“The model's relatively low concordance likely originates from the heterogeneous training data, which could be improved by focusing on patients with similar diagnoses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe patients investigated in this study probably experienced other forms of G4-mediated DNA damage, including insertions, deletions and double-strand breaks.
“While our study focused on the detection of SNVs in relation to G4s, it is highly probable that the patients we investigated experienced other forms of G4-mediated DNA damage, including insertions, deletions and double-strand breaks - as G4-mediated genomic instability is not limited to a specific type of DNA damage but rather has been observed to contribute to various types of DNA damage.”
Quote in the paperNot a substantial claim- Rests on an assumption: G4-mediated genomic instability is not limited to a specific type of DNA damage but contributes to various types of DNA damage.
The paper relies on this without support.
The relationship between G4s and cancer-related single nucleotide variants (cSNVs) in clinical settings remains unclear.
“However, the relationship between G4s and cancer-related single nucleotide variants (cSNVs) in clinical settings remains unclear.”
The paper relies on this without support.
G4 formation frequently occurs in cancer tissue.
“Given the frequent occurrence of G4 formation in cancer tissue and recent evidence linking G4s to mutation hotspots in lymphoma cells (56), we investigated the genome-wide spatial correlation of SNVs with G4s.”
The paper relies on this without support.
The association between G4 content and cSNVs is not due to unmeasured confounding factors other than GC content.
“Taken together, these results further indicate that the increase in cSNVs is largely driven by the presence of G4s rather than GC content.”
The paper relies on this without support.
The proportional hazards assumption of the Cox proportional hazards model holds for the G4-average survival analysis.
“We calculated the global G4-average for each patient in genomic 5 kb windows containing cSNVs and utilized these data to fit Cox's proportional hazards model—a well-established model to investigate the association between the survival time of patients and predictor variables (60,61).”
The paper relies on this without support.
The survival status and cause of death recorded in the metadata are accurate.
“Based on the associated metadata, we selected 3416 patients that either had died due to their primary cancer diagnosis or remained alive throughout the data collection period. Patients with incomplete survival data or survival status, as well as patients who had died from causes unrelated to cancer were excluded.”
The paper relies on this without support.
Current knowledge regarding the effects of G4s on cancer development in a clinical context is limited.
“Consistently, current knowledge regarding the effects of G4s on cancer development in a clinical context is limited.”
The paper relies on this without support.
Most studies investigating the potential role of G4s as drivers of genomic instability remain confined to cellular models.
“while there is a substantial number of studies investigating the potential role of G4s as drivers of genomic instability, most of these studies remain confined to cellular models.”
The paper relies on this without support.
G4s have not yet been suggested as global drivers of cSNVs in cancer patients.
“However, G4s have not yet been suggested as global drivers of cSNVs in cancer patients.”
The paper relies on this without support.
G4s often occur clustered.
“As G4s often occur clustered”
The paper relies on this without support.
G4-mediated genomic instability is not limited to a specific type of DNA damage but contributes to various types of DNA damage.
“as G4-mediated genomic instability is not limited to a specific type of DNA damage but rather has been observed to contribute to various types of DNA damage.”
The paper relies on this without support.
G4s are predominantly located in functional regions and cancer genes.
“As G4s are predominantly located in functional regions and cancer-genes, cellular changes resulting in the genome-wide stabilization of G4s could result in genomic instability in genomic regions which most likely confer growth advantages.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Normalized G4-average exceeds its defined maximum
MajorDividing the mean G4 count across selected windows by the sum across those same windows yields one divided by the number of windows, which cannot exceed 1. The reported normalized G4-average of 7.3 is therefore incompatible with the stated definition.
“This number was then normalized to the sum of G4s across the selected genomic windows.”
“a high normalized G4-average of 7.3”
Absolute distances are reported as negative
MinorAn absolute distance cannot be negative, but the reported confidence interval includes negative distances. The stated absolute-distance calculation also cannot, on its own, distinguish upstream from downstream.
“the absolute distance in base pairs to the next G4 was calculated”
“dbSNVs were predominantly located upstream of G4s, with a 95% CI ranging from –2143 to –447 bp.”
Nearest-neighbor search reverses direction between Methods and Results
MinorThe Methods describe finding the nearest G4 for each SNV, whereas the Results describe finding the nearest SNV for each G4. These searches need not produce the same set of distances.
“For each cSNV or dbSNV or randomized SNV, the absolute distance in base pairs to the next G4 was calculated”
“We then calculated the absolute distance of each G4 to the nearest cSNV or dbSNV in base pairs”
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Lombardi, E. P., & Londoño‐Vallejo, A. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa033 · Cited by 106 · see citing works
Si, D., Ageeva, E. S., & Żukow, W. (2022) · Journal of Education Health and Sport · doi:10.12775/jehs.2022.12.08.074 · Cited by 105 · see citing works
Recognition of nonhybridizing base pairs during nucleotide excision repair of DNA
Buschta-Hedayat, N., Buterin, T., Hess, M. T., Missura, M., & Naegeli, H. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.11.6090 · Cited by 103 · see citing works
Bossaert, M., Pipier, A., Riou, J.-F., Noirot, C., Nguyên, L.-T., Serre, R.-F., Bouchez, O., Defrancq, E., Calsou, P., Britton, S., et al. (2021) · eLife · doi:10.7554/elife.65184 · Cited by 97 · cited 1× · see citing works
“Recent genome-wide investigations under-score that these effects are not confined to promotors, but are rather observed across the genome ( 68–70 ).”
BackgroundHow to untie G-quadruplex knots and why?
Lejault, P., Mitteaux, J., Sperti, F. R., & Monchaud, D. (2021) · Cell chemical biology · doi:10.1016/j.chembiol.2021.01.015 · Cited by 96 · see citing works
Brosh, R. M., & Matson, S. W. (2020) · Genes · doi:10.3390/genes11030255 · Cited by 85 · see citing works
Single-cell mapping of DNA G-quadruplex structures in human cancer cells
Hui, W. W. I., Simeone, A., Zyner, K. G., Tannahill, D., & Balasubramanian, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-02943-3 · Cited by 85 · cited 1× · see citing works
“Given that G4s were reported to cluster in functional regions and are enriched in genes involved in cancer formation ( 59 ), we hypothesized that cancer-specific genes might contain higher G4-levels, thus explaining the observed exclusive correlation in cancer patients.”
BackgroundXu, H., & Hurley, L. H. (2022) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2022.129016 · Cited by 84 · cited 1× · see citing works
“…solid tumors, demonstrated a 14% partial response rate in patients deficient in homologous recombination (HR), a critical DNA repair pathway, suggesting that the therapeutic efficacy of CX-5461 may largely rely on the induction of genomic instability and a compromised DNA damage response ( 92 ).”
BackgroundMultistep mechanism of G-quadruplex resolution during DNA replication
Sato, K., Martin-Pintado, N., Post, H., Altelaar, M., & Knipscheer, P. (2021) · Science Advances · doi:10.1126/sciadv.abf8653 · Cited by 80 · cited 1× · see citing works
“Further reports demonstrated that G4s cause replication-dependent DNA-damage or change the overall chromatin structure ( 66 ,67 ).”
BackgroundEmerging roles for R-loop structures in the management of topological stress
Chédin, F., & Benham, C. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.rev119.006364 · Cited by 77 · see citing works
A Genomewide Screen for Suppressors of Alu-Mediated Rearrangements Reveals a Role for PIF1
Chisholm, K. M., Aubert, S. D., Freese, K. P., Zakian, V. A., King, M., & Welcsh, P. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030748 · Cited by 73 · see citing works
Beauvarlet, J., Bensadoun, P., Darbo, E., Labrunie, G., Rousseau, B., Richard, E., Draskovic, I., Londono-Vallejo, A., Dupuy, J.-W., Nath Das, R., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz095 · Cited by 73 · see citing works
Crosstalk between G-quadruplex and ROS
Wu, S., Jiang, L., Lei, L., Fu, C., Huang, J., Hu, Y., Dong, Y., Chen, J., & Zeng, Q. (2023) · Cell Death & Disease · doi:10.1038/s41419-023-05562-0 · Cited by 69 · cited 1× · see citing works
“Furthermore, G4s are highly susceptible to oxidative damage, as G-rich sequences have a low redox-potential and thus can act as ROS-sinks ( 84 ).”
BackgroundImpact of G-Quadruplexes on the Regulation of Genome Integrity, DNA Damage and Repair
Pavlova, A. V., Kubareva, E. A., Monakhova, M. V., Zvereva, M. I., & Dolinnaya, N. G. (2021) · Biomolecules · doi:10.3390/biom11091284 · Cited by 68 · see citing works
The Role of Tumor Microenvironment in Genomic Instability of Malignant Tumors
Sonugür, F. G., & Akbulut, H. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01063 · Cited by 67 · see citing works
Gong, J.-Y., Wen, C.-J., Tang, M., Duan, R.-F., Chen, J.-N., Zhang, J., Zheng, K., He, Y.-D., Hao, Y., Yu, Q. T., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013230118 · Cited by 65 · see citing works
Scavenging of Labile Heme by Hemopexin Is a Key Checkpoint in Cancer Growth and Metastases
Canesin, G., Ruscio, A. D., Li, M., Ummarino, S., Hedblom, A., Choudhury, R., Krzyzanowska, A., Csizmadia, E., Palominos, M., Stiehm, A., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108181 · Cited by 61 · see citing works
Chem-map profiles drug binding to chromatin in cells
Yu, Z., Spiegel, J., Melidis, L., Hui, W. W. I., Zhang, X., Radzevičius, A., & Balasubramanian, S. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01636-0 · Cited by 61 · see citing works
G4-Interacting DNA Helicases and Polymerases: Potential Therapeutic Targets
Estep, K. N., Butler, T. J., Ding, J., & Brosh, R. M. (2019) · Current Medicinal Chemistry · doi:10.2174/0929867324666171116123345 · Cited by 58 · cited 1× · see citing works
“Error-prone polymerases might be engaged at slowed or stalled replication forks to ensure complete G4 replication, as specialized polymerases like eta, kappa, and Rev1 are essential for G4 stability – further increasing the density of localized genomic damages ( 26 ,78–80 ).”
BackgroundG-quadruplexes mark alternative lengthening of telomeres
Yang, S. Y. C., Chang, E. Y., Lim, J., Kwan, H., Monchaud, D., Yip, S. S. F., Stirling, P. C., & Wong, J. M. Y. (2021) · NAR Cancer · doi:10.1093/narcan/zcab031 · Cited by 57 · see citing works
Interactions of small molecules with DNA junctions
McQuaid, K. T., Pipier, A., Cardin, C. J., & Monchaud, D. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac1043 · Cited by 54 · see citing works
Ligands stimulating antitumour immunity as the next G-quadruplex challenge
Miglietta, G., Marinello, J., Russo, M., & Capranico, G. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01649-y · Cited by 44 · cited 2× · see citing works
“However, G4s hold various regulatory functions in transcription and translation ( 20 ), deregulated or ligand-induced G4-formation is associated with the activation of DNA-damage responses, implying that aberrant G4-formation triggers similar pathways as DNA-damage ( 83 ).”
BackgroundDirect genome-wide identification of G-quadruplex structures by whole-genome resequencing
Tu, J., Duan, M., Liu, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26312-w · Cited by 43 · see citing works
Environmental stresses induce karyotypic instability in colorectal cancer cells
Tan, Z., Chan, Y. J. A., Chua, Y. J. K., et al. (2018) · Molecular Biology of the Cell · doi:10.1091/mbc.e18-10-0626 · Cited by 28 · see citing works
G-Quadruplex Structures Are Key Modulators of Somatic Structural Variants in Cancers
Zhang, R., Shu, H., Wang, Y., Tao, T., Tu, J., Wang, C., Mergny, J., & Sun, X. S. (2023) · Cancer Research · doi:10.1158/0008-5472.can-22-3089 · Cited by 28 · see citing works
Variation in G-quadruplex sequence and topology differentially impacts human DNA polymerase fidelity
Stein, M., Hile, S. E., Weissensteiner, M. H., Lee, M., Zhang, S., Kejnovský, E., Kejnovská, I., Makova, K. D., & Eckert, K. A. (2022) · DNA Repair · doi:10.1016/j.dnarep.2022.103402 · Cited by 23 · cited 2× · see citing works
“Error-prone polymerases might be engaged at slowed or stalled replication forks to ensure complete G4 replication, as specialized polymerases like eta, kappa, and Rev1 are essential for G4 stability – further increasing the density of localized genomic damages ( 26 ,78–80 ).”
BackgroundXu, Y.-Z., Jenjaroenpun, P., Wongsurawat, T., Byrum, S. D., Shponka, V., Tannahill, D., Chavez, E. A., Hung, S. S., Steidl, C., Balasubramanian, S., et al. (2020) · NAR Cancer · doi:10.1093/narcan/zcaa029 · Cited by 22 · see citing works
The somatic molecular evolution of cancer: Mutation, selection, and epistasis
Dasari, K., Somarelli, J. A., Kumar, S., & Townsend, J. P. (2021) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2021.08.003 · Cited by 22 · cited 1× · see citing works
“Furthermore, cancer cells are subjected to high selection pressure due to their highly proliferative nature, favoring the acquisition of mutations that provide further growth advantages ( 89 ).”
BackgroundThe Structure and Function of DNA
Alberts, B., Johnson, A., Lewis, J., et al. (2002) · Cited by 20 · see citing works
Principles and Practice of Clinical Research
McCrindle, B. W. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181a5c47f · Cited by 18 · see citing works
G-quadruplex occurrence and conservation: more than just a question of guanine–cytosine content
Vannutelli, A., Perreault, J., & Ouangraoua, A. (2022) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqac010 · Cited by 17 · see citing works
Feng, Y.-L., He, Z., Luo, Z., Sperti, F., Valverde, I. E., Zhang, W.-L., & Monchaud, D. (2023) · iScience · doi:10.1016/j.isci.2023.106846 · Cited by 17 · see citing works
Neupane, A., Chariker, J. H., & Rouchka, E. C. (2023) · Genes · doi:10.3390/genes14122125 · Cited by 12 · see citing works
Estimating the Frequency of Single Point Driver Mutations across Common Solid Tumours
Darbyshire, M., du Toit, Z. D., Rogers, M. F., Gaunt, T. R., & Campbell, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-48765-2 · Cited by 10 · see citing works
Biostatistics and Computer-Based Analysis of Health Data Using Stata
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Flagged first, then by citations
1 of the 95 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Gene editing in cancer therapy: overcoming drug resistance and enhancing precision medicine
Park, H., Yu, S., & Koo, T. (2025) · Cancer Gene Therapy · doi:10.1038/s41417-025-00959-9 · Cited by 15 · see citing works
DNA G-quadruplexes: Structural and functional insights
Jonchhe, S., Lahiri, S., & Rothenberg, E. (2025) · DNA repair · doi:10.1016/j.dnarep.2025.103910 · Cited by 12 · see citing works
Bartosik, A. R., Hou, P., Tang, S., Vaughn, J. P., Smaldino, P. J., Ratan, A., Mayo, M. W., & Wang, Y. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf621 · Cited by 13 · see citing works
Opposing roles of two R-loop associated G-quadruplexes in tuning transcription activity
Yang, L.-Y., Lee, C.-Y., Paul, T., & Myong, S. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf930 · Cited by 6 · see citing works
Non-B DNA structures and their contributions to genetic diversity, aging, and disease
Bochalis, E., Dereki, I., Wang, G., Sgourou, A., Vásquez, K. M., & Georgakopoulos‐Soares, I. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag084 · Cited by 7 · see citing works
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The effect of prolonged G-quadruplex stabilization on the functions of human cells
Karatayeva, N., Hegedűs, L., Bhattacharjee, A., Németh, E., Póti, Á., Pongor, L., Juhász, G., Szuts, D., & Burkovics, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-04791-x · Cited by 2 · see citing works
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The SMARCA4 subunit of the SWI/SNF complex prevents genome instability at G quadruplexes
Harrod, A., Feng, H., Ghaddar, N., Schiavoni, F., Lane, K. A., Wu, L., Zuazua‐Villar, P., Kozik, Z., Dobbs, F. M., van Eijk, P., et al. (2026) · Genome biology · doi:10.1186/s13059-026-04080-4 · Cited by 2 · see citing works
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The G-force in the genome: Unknowns on the functional flairs of DNA G-quadruplexes
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Genome-wide mapping reveals increased R-loops in topoisomerase III-beta-deficient human cells
Saha, S., Dhall, A., Huang, S.-Y. N., Saha, L., Mahmud, M. R. A., Zhang, H.-L., Sun, Y.-L., & Pommier, Y. (2026) · iScience · doi:10.1016/j.isci.2026.117168
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- Authors
- Richl, T., Kuper, J., & Kisker, C.
- Affiliations
- University of Würzburg (DE)
- Corresponding author
- Kuper, Jochen
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-02-26
- Volume
- 52
- Issue
- 5
- Pages
- 2198-2211
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC10954472
- OpenAlex
- W4392157064
- Cited by
- 20
- References
- 95
- Citations by year
- 2026: 10 · 2025: 6 · 2024: 4
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Online Publication Service of Würzburg University (Würzburg University) (submittedVersion, cc-by)
- Funders
- University of Wuerzburg
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- G-quadruplex, genomic instability, single nucleotide variants, cancer, prognostic factors, patient survival
- MeSH terms
- DNA, Humans, Neoplasms, Nucleotides, Polymorphism, Genetic, Genomic Instability, G-Quadruplexes
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-20.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-20.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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