Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy

Qianxing Mo et al. identify basal and luminal integrative subtypes of muscle-invasive bladder cancer (MIBC) using multi-omics data from The Cancer Genome Atlas. Using a gene panel for classification of MIBC derived from gene expression data, they find that the basal subtype is associated with worse...

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Autores principales:	Qianxing Mo, Roger Li, Dennis O. Adeegbe, Guang Peng, Keith Syson Chan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/a3134628a64a497aa1f965d32da0006c
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spelling	oai:doaj.org-article:a3134628a64a497aa1f965d32da0006c2021-12-02T13:56:15ZIntegrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy10.1038/s42003-020-01491-22399-3642https://doaj.org/article/a3134628a64a497aa1f965d32da0006c2020-12-01T00:00:00Zhttps://doi.org/10.1038/s42003-020-01491-2https://doaj.org/toc/2399-3642Qianxing Mo et al. identify basal and luminal integrative subtypes of muscle-invasive bladder cancer (MIBC) using multi-omics data from The Cancer Genome Atlas. Using a gene panel for classification of MIBC derived from gene expression data, they find that the basal subtype is associated with worse survival in patients receiving no neoadjuvant chemotherapy (NAC), but better survival in patients receiving cisplatin-based NAC and further identify genes associated with response to PD-L1 blockade immunotherapy, suggesting potential clinical use of these genes’ expression signature.Qianxing MoRoger LiDennis O. AdeegbeGuang PengKeith Syson ChanNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 3, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Qianxing Mo Roger Li Dennis O. Adeegbe Guang Peng Keith Syson Chan Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
description	Qianxing Mo et al. identify basal and luminal integrative subtypes of muscle-invasive bladder cancer (MIBC) using multi-omics data from The Cancer Genome Atlas. Using a gene panel for classification of MIBC derived from gene expression data, they find that the basal subtype is associated with worse survival in patients receiving no neoadjuvant chemotherapy (NAC), but better survival in patients receiving cisplatin-based NAC and further identify genes associated with response to PD-L1 blockade immunotherapy, suggesting potential clinical use of these genes’ expression signature.
format	article
author	Qianxing Mo Roger Li Dennis O. Adeegbe Guang Peng Keith Syson Chan
author_facet	Qianxing Mo Roger Li Dennis O. Adeegbe Guang Peng Keith Syson Chan
author_sort	Qianxing Mo
title	Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
title_short	Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
title_full	Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
title_fullStr	Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
title_full_unstemmed	Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
title_sort	integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/a3134628a64a497aa1f965d32da0006c
work_keys_str_mv	AT qianxingmo integrativemultiomicsanalysisofmuscleinvasivebladdercanceridentifiesprognosticbiomarkersforfrontlinechemotherapyandimmunotherapy AT rogerli integrativemultiomicsanalysisofmuscleinvasivebladdercanceridentifiesprognosticbiomarkersforfrontlinechemotherapyandimmunotherapy AT dennisoadeegbe integrativemultiomicsanalysisofmuscleinvasivebladdercanceridentifiesprognosticbiomarkersforfrontlinechemotherapyandimmunotherapy AT guangpeng integrativemultiomicsanalysisofmuscleinvasivebladdercanceridentifiesprognosticbiomarkersforfrontlinechemotherapyandimmunotherapy AT keithsysonchan integrativemultiomicsanalysisofmuscleinvasivebladdercanceridentifiesprognosticbiomarkersforfrontlinechemotherapyandimmunotherapy
_version_	1718392396642779136

Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy

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