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Article: Integrated analysis of racial disparities in genomic architecture identifies a trans-ancestry prognostic subtype in bladder cancer

TitleIntegrated analysis of racial disparities in genomic architecture identifies a trans-ancestry prognostic subtype in bladder cancer
Authors
Issue Date29-Dec-2022
PublisherWiley Open Access
Citation
Molecular Oncology, 2023, v. 17, n. 4, p. 564-581 How to Cite?
AbstractThe incidence of bladder cancer and patient survival vary greatly among different populations, but the influence of the associated molecular features and evolutionary processes on its clinical treatment and prognostication remains unknown. Here, we analyze the genomic architectures of 505 bladder cancer patients from Asian/Black/White populations. We identify a previously unknown association between AHNAK mutations and activity of the APOBEC-a mutational signature, the activity of which varied substantially across populations. All significantly mutated genes but only half of arm-level somatic copy number alterations (SCNAs) are enriched with clonal events, indicating large-scale SCNAs as rich sources of bladder cancer clonal diversities. The prevalence of TP53 and ATM clonal mutations as well as the associated burden of SCNAs is significantly higher in Whites/Blacks than in Asians. We identify a trans-ancestry prognostic subtype of bladder cancer characterized by enrichment of non-muscle-invasive patients and muscle-invasive patients with good prognosis, increased CREBBP/FGFR3/HRAS/NFE2L2 mutations, decreased intra-tumor heterogeneity and genome instability, and an activated tumor microenvironment.
Persistent Identifierhttp://hdl.handle.net/10722/328463
ISSN
2023 Impact Factor: 5.0
2023 SCImago Journal Rankings: 1.940
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, BF-
dc.contributor.authorJia, PL-
dc.contributor.authorWang, JY-
dc.contributor.authorPei, GS-
dc.contributor.authorWang, CX-
dc.contributor.authorPei, SM-
dc.contributor.authorLi, XC-
dc.contributor.authorZhao, ZM-
dc.contributor.authorYi, X-
dc.contributor.authorGuan, XY-
dc.contributor.authorHuang, Y-
dc.date.accessioned2023-06-28T04:45:10Z-
dc.date.available2023-06-28T04:45:10Z-
dc.date.issued2022-12-29-
dc.identifier.citationMolecular Oncology, 2023, v. 17, n. 4, p. 564-581-
dc.identifier.issn1574-7891-
dc.identifier.urihttp://hdl.handle.net/10722/328463-
dc.description.abstractThe incidence of bladder cancer and patient survival vary greatly among different populations, but the influence of the associated molecular features and evolutionary processes on its clinical treatment and prognostication remains unknown. Here, we analyze the genomic architectures of 505 bladder cancer patients from Asian/Black/White populations. We identify a previously unknown association between AHNAK mutations and activity of the APOBEC-a mutational signature, the activity of which varied substantially across populations. All significantly mutated genes but only half of arm-level somatic copy number alterations (SCNAs) are enriched with clonal events, indicating large-scale SCNAs as rich sources of bladder cancer clonal diversities. The prevalence of TP53 and ATM clonal mutations as well as the associated burden of SCNAs is significantly higher in Whites/Blacks than in Asians. We identify a trans-ancestry prognostic subtype of bladder cancer characterized by enrichment of non-muscle-invasive patients and muscle-invasive patients with good prognosis, increased CREBBP/FGFR3/HRAS/NFE2L2 mutations, decreased intra-tumor heterogeneity and genome instability, and an activated tumor microenvironment.-
dc.languageeng-
dc.publisherWiley Open Access-
dc.relation.ispartofMolecular Oncology-
dc.titleIntegrated analysis of racial disparities in genomic architecture identifies a trans-ancestry prognostic subtype in bladder cancer-
dc.typeArticle-
dc.identifier.doi10.1002/1878-0261.13360-
dc.identifier.pmid36495164-
dc.identifier.volume17-
dc.identifier.issue4-
dc.identifier.spage564-
dc.identifier.epage581-
dc.identifier.isiWOS:000905519200001-
dc.publisher.placeHOBOKEN-
dc.identifier.issnl1574-7891-

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