Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis

There are currently only a few biomarkers to predict the response of muscle invasive bladder cancer to therapy. Here, the authors analyse 300 tumors using exome and RNA sequencing and find that tumors with a high degree of genomic instability and a non-basal/squamous gene expression subtype are most...

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Main Authors: Ann Taber, Emil Christensen, Philippe Lamy, Iver Nordentoft, Frederik Prip, Sia Viborg Lindskrog, Karin Birkenkamp-Demtröder, Trine Line Hauge Okholm, Michael Knudsen, Jakob Skou Pedersen, Torben Steiniche, Mads Agerbæk, Jørgen Bjerggaard Jensen, Lars Dyrskjøt
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Language:EN
Published: Nature Portfolio 2020
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Online Access:https://doaj.org/article/3885a19d3a524eca9c7327f222740721
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spelling oai:doaj.org-article:3885a19d3a524eca9c7327f2227407212021-12-02T18:48:25ZMolecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis10.1038/s41467-020-18640-02041-1723https://doaj.org/article/3885a19d3a524eca9c7327f2227407212020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18640-0https://doaj.org/toc/2041-1723There are currently only a few biomarkers to predict the response of muscle invasive bladder cancer to therapy. Here, the authors analyse 300 tumors using exome and RNA sequencing and find that tumors with a high degree of genomic instability and a non-basal/squamous gene expression subtype are most likely to respond to treatment.Ann TaberEmil ChristensenPhilippe LamyIver NordentoftFrederik PripSia Viborg LindskrogKarin Birkenkamp-DemtröderTrine Line Hauge OkholmMichael KnudsenJakob Skou PedersenTorben SteinicheMads AgerbækJørgen Bjerggaard JensenLars DyrskjøtNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Ann Taber
Emil Christensen
Philippe Lamy
Iver Nordentoft
Frederik Prip
Sia Viborg Lindskrog
Karin Birkenkamp-Demtröder
Trine Line Hauge Okholm
Michael Knudsen
Jakob Skou Pedersen
Torben Steiniche
Mads Agerbæk
Jørgen Bjerggaard Jensen
Lars Dyrskjøt
Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
description There are currently only a few biomarkers to predict the response of muscle invasive bladder cancer to therapy. Here, the authors analyse 300 tumors using exome and RNA sequencing and find that tumors with a high degree of genomic instability and a non-basal/squamous gene expression subtype are most likely to respond to treatment.
format article
author Ann Taber
Emil Christensen
Philippe Lamy
Iver Nordentoft
Frederik Prip
Sia Viborg Lindskrog
Karin Birkenkamp-Demtröder
Trine Line Hauge Okholm
Michael Knudsen
Jakob Skou Pedersen
Torben Steiniche
Mads Agerbæk
Jørgen Bjerggaard Jensen
Lars Dyrskjøt
author_facet Ann Taber
Emil Christensen
Philippe Lamy
Iver Nordentoft
Frederik Prip
Sia Viborg Lindskrog
Karin Birkenkamp-Demtröder
Trine Line Hauge Okholm
Michael Knudsen
Jakob Skou Pedersen
Torben Steiniche
Mads Agerbæk
Jørgen Bjerggaard Jensen
Lars Dyrskjøt
author_sort Ann Taber
title Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
title_short Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
title_full Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
title_fullStr Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
title_full_unstemmed Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
title_sort molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/3885a19d3a524eca9c7327f222740721
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