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Article: ERCC2 mutations alter the genomic distribution pattern of somatic mutations and are independently prognostic in bladder cancer

TitleERCC2 mutations alter the genomic distribution pattern of somatic mutations and are independently prognostic in bladder cancer
Authors
KeywordsAPOBEC
bladder cancer
CTCF-cohesin binding site
ERCC2
somatic mutations
uracil
XPD
Issue Date14-Aug-2024
PublisherCell Press
Citation
Cell Genomics, 2024, v. 4, n. 8 How to Cite?
Abstract

Excision repair cross-complementation group 2 (ERCC2) encodes the DNA helicase xeroderma pigmentosum group D, which functions in transcription and nucleotide excision repair. Point mutations in ERCC2 are putative drivers in around 10% of bladder cancers (BLCAs) and a potential positive biomarker for cisplatin therapy response. Nevertheless, the prognostic significance directly attributed to ERCC2 mutations and its pathogenic role in genome instability remain poorly understood. We first demonstrated that mutant ERCC2 is an independent predictor of prognosis in BLCA. We then examined its impact on the somatic mutational landscape using a cohort of ERCC2 wild-type (n = 343) and mutant (n = 39) BLCA whole genomes. The genome-wide distribution of somatic mutations is significantly altered in ERCC2 mutants, including T[C>T]N enrichment, altered replication time correlations, and CTCF-cohesin binding site mutation hotspots. We leverage these alterations to develop a machine learning model for predicting pathogenic ERCC2 mutations, which may be useful to inform treatment of patients with BLCA.


Persistent Identifierhttp://hdl.handle.net/10722/350873
ISSN
2023 Impact Factor: 11.1
2023 SCImago Journal Rankings: 8.807

 

DC FieldValueLanguage
dc.contributor.authorBarbour, Jayne A-
dc.contributor.authorOu, Tong-
dc.contributor.authorYang, Haocheng-
dc.contributor.authorFang, Hu-
dc.contributor.authorYue, Noel C-
dc.contributor.authorZhu, Xiaoqiang-
dc.contributor.authorWong-Brown, Michelle W-
dc.contributor.authorWong, Yuen T-
dc.contributor.authorBowden, Nikola A-
dc.contributor.authorWu, Song-
dc.contributor.authorWong, Jason WH-
dc.date.accessioned2024-11-05T00:30:20Z-
dc.date.available2024-11-05T00:30:20Z-
dc.date.issued2024-08-14-
dc.identifier.citationCell Genomics, 2024, v. 4, n. 8-
dc.identifier.issn2666-979X-
dc.identifier.urihttp://hdl.handle.net/10722/350873-
dc.description.abstract<p>Excision repair cross-complementation group 2 (ERCC2) encodes the DNA helicase xeroderma pigmentosum group D, which functions in transcription and nucleotide excision repair. Point mutations in ERCC2 are putative drivers in around 10% of bladder cancers (BLCAs) and a potential positive biomarker for cisplatin therapy response. Nevertheless, the prognostic significance directly attributed to ERCC2 mutations and its pathogenic role in genome instability remain poorly understood. We first demonstrated that mutant ERCC2 is an independent predictor of prognosis in BLCA. We then examined its impact on the somatic mutational landscape using a cohort of ERCC2 wild-type (n = 343) and mutant (n = 39) BLCA whole genomes. The genome-wide distribution of somatic mutations is significantly altered in ERCC2 mutants, including T[C>T]N enrichment, altered replication time correlations, and CTCF-cohesin binding site mutation hotspots. We leverage these alterations to develop a machine learning model for predicting pathogenic ERCC2 mutations, which may be useful to inform treatment of patients with BLCA.</p>-
dc.languageeng-
dc.publisherCell Press-
dc.relation.ispartofCell Genomics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAPOBEC-
dc.subjectbladder cancer-
dc.subjectCTCF-cohesin binding site-
dc.subjectERCC2-
dc.subjectsomatic mutations-
dc.subjecturacil-
dc.subjectXPD-
dc.titleERCC2 mutations alter the genomic distribution pattern of somatic mutations and are independently prognostic in bladder cancer-
dc.typeArticle-
dc.identifier.doi10.1016/j.xgen.2024.100627-
dc.identifier.scopuseid_2-s2.0-85201004513-
dc.identifier.volume4-
dc.identifier.issue8-
dc.identifier.eissn2666-979X-
dc.identifier.issnl2666-979X-

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