A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches
Open accessAbstract
Nucleotide excision repair (NER) resolves DNA adducts, such as those caused by ultraviolet light. Deficient NER (dNER) results in a higher mutation rate that can predispose to cancer development and premature ageing phenotypes. Here, we used isogenic dNER model cell lines to establish a gene expression signature that can accurately predict functional NER capacity in both cell lines and patient samples. Critically, none of the identified NER deficient cell lines harbored mutations in any NER genes, suggesting that the prevalence of NER defects may currently be underestimated. Identification of compounds that induce the dNER gene expression signature led to the discovery that NER can be functionally impaired by GSK3 inhibition, leading to synergy when combined with cisplatin treatment. Furthermore, we predicted and validated multiple novel drugs that are synthetically lethal with NER defects using the dNER gene signature as a drug discovery platform. Taken together, our work provides a dynamic predictor of NER function that may be applied for therapeutic stratification as well as development of novel biological insights in human tumors.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Prior work has assessed the utility of mutational and transcriptomic signatures in predicting response to cisplatin, but none of these advancements have been translated into routine clinical care.
“Given its widespread use, it comes as no surprise that prior work has assessed the utility of mutational and transcriptomic signatures in predicting response to this drug; yet, to the best knowledge of these authors, none of these advancements have been translated into routine clinical care15–19.”
From Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature (2023) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
1 retracted
Fousteri, M., Vermeulen, W., van Zeeland, A. A., & Mullenders, L. H. F. (2006) · Molecular Cell · doi:10.1016/j.molcel.2006.06.029 · Cited by 387 · see citing works
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
Near-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723 · see citing works
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660 · see citing works
Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257 · see citing works
Self-citationChou, T.-C. (2006) · Pharmacological Reviews · doi:10.1124/pr.58.3.10 · Cited by 5,163 · see citing works
The DNA Damage Response: Making It Safe to Play with Knives
Ciccia, A., & Elledge, S. J. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.019 · Cited by 4,368 · see citing works
Yang, W., Soares, J., Greninger, P., Edelman, E. J., Lightfoot, H., Forbes, S., Bindal, N., Beare, D., Smith, J. A., Thompson, I. R., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1111 · Cited by 4,051 · see citing works
Goldhirsch, A., Winer, E. P., Coates, A. S., Gelber, R. D., Piccart, M. J., Thurlimann, B. J. K., Senn, H.-J., Albain, K. S., André, F., Bergh, J. C. S., et al. (2013) · Annals of Oncology · doi:10.1093/annonc/mdt303 · Cited by 3,759 · see citing works
Next-generation characterization of the Cancer Cell Line Encyclopedia
Ghandi, M., Huang, F. W., Jané-Valbuena, J., Kryukov, G. V., Lo, C. C., McDonald, E. R., Barretina, J., Gelfand, E. T., Bielski, C. M., Li, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1186-3 · Cited by 3,394 · see citing works
Breast cancer statistics, 2019
Desantis, C. E., Ma, J., Gaudet, M. M., Newman, L. A., Miller, K. D., Sauer, A. G., Jemal, A., & Siegel, R. L. (2019) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21583 · Cited by 3,126 · see citing works
Hoeijmakers, J. H. J. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0804615 · Cited by 2,239 · see citing works
Sphingolipids and their metabolism in physiology and disease
Hannun, Y. A., & Obeid, L. M. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.107 · Cited by 2,066 · see citing works
Ma, J., & Jemal, A. (2012) · Springer eBooks · doi:10.1007/978-1-4614-5647-6_1 · Cited by 1,918 · see citing works
Mutational Processes Molding the Genomes of 21 Breast Cancers
Nik-Zainal, S., Alexandrov, L. B., Wedge, D. C., Van Loo, P., Greenman, C. D., Raine, K., Jones, D., Hinton, J., Marshall, J., Stebbings, L. A., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.024 · Cited by 1,909 · see citing works
Sphingolipid metabolism in cancer signalling and therapy
Ogretmen, B. (2018) · Nature Reviews Cancer · doi:10.1038/nrc.2017.96 · Cited by 1,207 · see citing works
Understanding nucleotide excision repair and its roles in cancer and ageing
Marteijn, J. A., Lans, H., Vermeulen, W., & Hoeijmakers, J. H. J. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3822 · Cited by 1,192 · see citing works
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
Knijnenburg, T., Wang, L., Zimmermann, M. T., Chambwe, N., Gao, G. F., Cherniack, A. D., Fan, H., Shen, H., Way, G. P., Greene, C. S., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.076 · Cited by 1,126 · see citing works
Self-citationTranscription-coupled DNA repair: two decades of progress and surprises
Hanawalt, P. C., & Spivak, G. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2549 · Cited by 1,038 · see citing works
Sugasawa, K., Ng, J. M. Y., Masutani, C., Iwai, S., van der Spek, P. J., Eker, A. P. M., Hanaoka, F., Bootsma, D., & Hoeijmakers, J. H. J. (1998) · Molecular Cell · doi:10.1016/s1097-2765(00)80132-x · Cited by 899 · see citing works
Nucleotide Excision Repair in EukaryotesPreprint
Schärer, O. D. (2013) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a012609 · Cited by 801 · see citing works
Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation
Olson, C. M., Jiang, B., Erb, M. A., Liang, Y., Doctor, Z. M., Zhang, Z., Zhang, T., Kwiatkowski, N., Boukhali, M., Green, J. L., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2538 · Cited by 552 · cited 1× · see citing works
“Cyclin-dependent kinase 9 (CDK9), an important regulator of transcriptional elongation, is a promising target for cancer therapy, particularly for cancers driven by transcriptional dysregulation [33].”
BackgroundSelf-citationDNA repair pathways and cisplatin resistance: an intimate relationship
Rocha, C. R. R., Silva, M. M., Quinet, A., Cabral-Neto, J. B., & Menck, C. F. M. (2018) · Clinics · doi:10.6061/clinics/2018/e478s · Cited by 450 · see citing works
Masutani, C., Sugasawa, K., Yanagisawa, J., Sonoyama, T., Ui, M., Enomoto, T., Takio, K., Tanaka, K., van der Spek, P. J., & Bootsma, D. (1994) · The EMBO Journal · doi:10.1002/j.1460-2075.1994.tb06452.x · Cited by 400 · see citing works
Köberle, B., Masters, J. R., Hartley, J. A., & Wood, R. D. (1999) · Current Biology · doi:10.1016/s0960-9822(99)80118-3 · Cited by 298 · see citing works
Platinum Resistance in Ovarian Cancer: Role of DNA Repair
Damia, G. L. M., & Broggini, M. (2019) · Cancers · doi:10.3390/cancers11010119 · Cited by 297 · see citing works
Dowsett, M., & Dunbier, A. K. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0974 · Cited by 269 · see citing works
Nishi, R., Okuda, Y., Watanabe, E., Mori, T., Iwai, S., Masutani, C., Sugasawa, K., & Hanaoka, F. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.13.5664-5674.2005 · Cited by 249 · see citing works
Survival of UV-irradiated mammalian cells correlates with efficient DNA repair in an essential gene.
Bohr, V. A., Okumoto, D. S., & Hanawalt, P. C. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.11.3830 · Cited by 194 · see citing works
Nagel, Z. D., Margulies, C. M., Chaim, I. A., McRee, S. K., Mazzucato, P., Ahmad, A., Abo, R., Butty, V. L., Forget, A. L., & Samson, L. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1401182111 · Cited by 165 · see citing works
Wang, Z., 岩崎, 正., Ficara, F., Lin, C., Matheny, C., Wong, S. H. K., Smith, K. S., & Cleary, M. L. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.04.024 · Cited by 124 · see citing works
Potential Therapeutic Effect of Glycogen Synthase Kinase 3β Inhibition against Human Glioblastoma
Miyashita, K., Kawakami, K., Nakada, M., Mai, W., Shakoori, A., Fujisawa, H., Hayashi, Y., Hamada, J., & Minamoto, T. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0760 · Cited by 119 · see citing works
Glycogen Synthase Kinase-3β, NF-κB Signaling, and Tumorigenesis of Human Osteosarcoma
Tang, Q.-L., Xie, X.-B., Wang, J., Chen, Q., Han, A.-J., Zou, C.-Y., Yin, J.-Q., Liu, D.-W., Liang, Y., Zhao, Z.-Q., et al. (2012) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs210 · Cited by 114 · see citing works
Self-citationProteome Instability Is a Therapeutic Vulnerability in Mismatch Repair-Deficient Cancer
McGrail, D. J., Garnett, J., Yin, J., Dai, H., Shih, D. J. H., Lam, T., Li, Y., Sun, C., Li, Y., Schmandt, R. E., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.01.011 · Cited by 108 · see citing works
Self-citationModulating Androgen Receptor-Driven Transcription in Prostate Cancer with Selective CDK9 Inhibitors
Richters, A., Doyle, S. K., Freeman, D. B., Lee, C., Leifer, B. S., Jagannathan, S., Kabinger, F., Koren, J. V., Struntz, N. B., Urgiles, J., et al. (2021) · Cell Chemical Biology · doi:10.1016/j.chembiol.2020.10.001 · Cited by 86 · see citing works
Naito, S., Bilim, V. N., Yuuki, K., Ugolkov, A. V., Motoyama, T., Nagaoka, A., Kato, T., & Tomita, Y. (2010) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-10-0275 · Cited by 86 · see citing works
Proteotoxic stress of cancer: Implication of the heat‐shock response in oncogenesis
Dai, C., Dai, S., & Cao, J. (2011) · Journal of Cellular Physiology · doi:10.1002/jcp.24017 · Cited by 81 · see citing works
Nucleotide Excision Repair in Eukaryotes
Goosen, N. (2013) · Encyclopedia of Biological Chemistry · doi:10.1016/b978-0-12-378630-2.00491-6 · Cited by 67 · see citing works
Yang, L., Zhou, F., Zhuang, Y., Liu, Y., Xu, L., Zhao, H., Xiang, Y., Dai, X., Liu, Z., Huang, X., et al. (2020) · British Journal of Cancer · doi:10.1038/s41416-020-01135-6 · Cited by 63 · see citing works
McGrail, D. J., Lin, C. C.-J., Garnett, J., Liu, Q., Mo, W., Dai, H., Lu, Y., Yu, Q., Ju, Z., Yin, J., et al. (2017) · npj Systems Biology and Applications · doi:10.1038/s41540-017-0011-6 · Cited by 60 · see citing works
Self-citationLee, Y. J., Wang, S., Slone, S. R., Yacoubian, T. A., & Witt, S. N. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015946 · Cited by 50 · see citing works
Kodym, E., Kodym, R., Reis, A. E., Habib, A. A., Story, M. D., & Saha, D. (2009) · Lung Cancer · doi:10.1016/j.lungcan.2008.12.026 · Cited by 40 · see citing works
CDK9 activity is critical for maintaining MDM4 overexpression in tumor cells
Štětková, M., Growková, K., Fojtík, P., Valčíková, B., Palušová, V., Verlande, A., Jorda, R., Kryštof, V., Hejret, V., Alexiou, P., et al. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-02971-3 · Cited by 34 · see citing works
RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines
Basu, A. B., Mitra, R., Liu, H., Schreiber, S. L., & Clemons, P. A. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty199 · Cited by 29 · see citing works
Cao, S., Yu, Y., Chen, S., Lei, D., Wang, S., Pan, X., & Peng, J. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.11.049 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature
Scarborough, J. A., Eschrich, S. A., Torres-Roca, J., Dhawan, A., & Scott, J. G. (2023) · npj Precision Oncology · doi:10.1038/s41698-023-00375-y · Cited by 14 · see citing works
Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance
Wan, Y., Mu, Q., Krzysztoń, R., Cohen, J., Coraci, D., Helenek, C., Tompkins, C., Lin, A. J., Farquhar, K. S., Cross, E., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2303114120 · Cited by 13 · see citing works
Exploiting convergent evolution to derive a pan-cancer cisplatin response gene expression signaturePreprint
Scarborough, J. A., Eschrich, S. A., Torres–Roca, J. F., Dhawan, A., & Scott, J. G. (2021) · medRxiv · doi:10.1101/2021.11.10.21265799 · Cited by 1 · see citing works
Maćkowiak, B., Ostrowska, K., Kozikowska, J., Kulcenty, K., Golusiński, W., & Suchorska, W. (2026) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-026-06563-0
- Authors
- Wei, R., Dai, H., Zhang, J., Shih, D. J. H., Liang, Y., Xiao, P., McGrail, D. J., & Lin, S.-Y.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- McGrail, Daniel J.
- Lin, Shiaw-Yih
- ORCID
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2021-05-08
- Volume
- 22
- Issue
- 9
- Pages
- 5008
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC8125907
- OpenAlex
- W3161930347
- Cited by
- 4
- References
- 45
- Citations by year
- 2026: 1 · 2023: 2 · 2021: 1
- FWCI
- 0.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- nucleotide excision repair, DNA repair deficiency, gene expression signatures, synthetic lethality, GSK3 inhibition, cisplatin, drug repurposing, isogenic cell lines, UV-induced DNA damage, DNA adducts, cancer susceptibility, premature aging, treatment stratification
- MeSH terms
- DNA Repair, Humans, Neoplasms, Reproducibility of Results, Gene Expression Regulation, Neoplastic, Gene Expression Profiling, Cell Line, Tumor
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review