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Identification of an immunotherapy-responsive molecular subtype of bladder cancer
BACKGROUND: Although various molecular subtypes of bladder cancer (BC) have been investigated, most of these studies have focused on muscle-invasive BC (MIBC). A few studies have investigated non-muscle-invasive BC (NMIBC) or NMIBC and MIBC together, but none has classified progressive NMIBC or immu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921227/ https://www.ncbi.nlm.nih.gov/pubmed/31735557 http://dx.doi.org/10.1016/j.ebiom.2019.10.058 |
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author | Song, Bic-Na Kim, Seon-Kyu Mun, Jeong-Yeon Choi, Young-Deuk Leem, Sun-Hee Chu, In-Sun |
author_facet | Song, Bic-Na Kim, Seon-Kyu Mun, Jeong-Yeon Choi, Young-Deuk Leem, Sun-Hee Chu, In-Sun |
author_sort | Song, Bic-Na |
collection | PubMed |
description | BACKGROUND: Although various molecular subtypes of bladder cancer (BC) have been investigated, most of these studies have focused on muscle-invasive BC (MIBC). A few studies have investigated non-muscle-invasive BC (NMIBC) or NMIBC and MIBC together, but none has classified progressive NMIBC or immune checkpoint inhibitor (ICI)-based therapeutic responses in early-stage BC patients. METHODS: A total of 1,934 samples from seven patient cohorts were used. We performed unsupervised hierarchical clustering to stratify patients into distinct subgroups and constructed a classifier by applying SAM/PAM algorithms. We then investigated the association between molecular subtypes and immunotherapy responsiveness using various statistical methods. FINDINGS: We explored large-scale genomic datasets encompassing NMIBC and MIBC, redefining four distinct molecular subtypes, including a subgroup containing progressive NMIBC and MIBC with poor prognosis that would benefit from ICI treatment. This subgroup showed poor progression-free survival with the distinct features of high mutation load, activated cell cycle, and inhibited TGFβ signalling. Importantly, we verified that BC patients with this subtype were significantly responsive to an anti-PD-L1 agent in the IMvigor210 cohort. INTERPRETATION: Our results reveal an immunotherapeutic option for ICI treatment of highly progressive NMIBC and MIBC with poor prognosis. FUNDING: This research was supported by the National Research Foundation of Korea grant funded by the Korean government, a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea, and a grant from the KRIBB Research Initiative Program. |
format | Online Article Text |
id | pubmed-6921227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69212272019-12-27 Identification of an immunotherapy-responsive molecular subtype of bladder cancer Song, Bic-Na Kim, Seon-Kyu Mun, Jeong-Yeon Choi, Young-Deuk Leem, Sun-Hee Chu, In-Sun EBioMedicine Research paper BACKGROUND: Although various molecular subtypes of bladder cancer (BC) have been investigated, most of these studies have focused on muscle-invasive BC (MIBC). A few studies have investigated non-muscle-invasive BC (NMIBC) or NMIBC and MIBC together, but none has classified progressive NMIBC or immune checkpoint inhibitor (ICI)-based therapeutic responses in early-stage BC patients. METHODS: A total of 1,934 samples from seven patient cohorts were used. We performed unsupervised hierarchical clustering to stratify patients into distinct subgroups and constructed a classifier by applying SAM/PAM algorithms. We then investigated the association between molecular subtypes and immunotherapy responsiveness using various statistical methods. FINDINGS: We explored large-scale genomic datasets encompassing NMIBC and MIBC, redefining four distinct molecular subtypes, including a subgroup containing progressive NMIBC and MIBC with poor prognosis that would benefit from ICI treatment. This subgroup showed poor progression-free survival with the distinct features of high mutation load, activated cell cycle, and inhibited TGFβ signalling. Importantly, we verified that BC patients with this subtype were significantly responsive to an anti-PD-L1 agent in the IMvigor210 cohort. INTERPRETATION: Our results reveal an immunotherapeutic option for ICI treatment of highly progressive NMIBC and MIBC with poor prognosis. FUNDING: This research was supported by the National Research Foundation of Korea grant funded by the Korean government, a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea, and a grant from the KRIBB Research Initiative Program. Elsevier 2019-11-15 /pmc/articles/PMC6921227/ /pubmed/31735557 http://dx.doi.org/10.1016/j.ebiom.2019.10.058 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Song, Bic-Na Kim, Seon-Kyu Mun, Jeong-Yeon Choi, Young-Deuk Leem, Sun-Hee Chu, In-Sun Identification of an immunotherapy-responsive molecular subtype of bladder cancer |
title | Identification of an immunotherapy-responsive molecular subtype of bladder cancer |
title_full | Identification of an immunotherapy-responsive molecular subtype of bladder cancer |
title_fullStr | Identification of an immunotherapy-responsive molecular subtype of bladder cancer |
title_full_unstemmed | Identification of an immunotherapy-responsive molecular subtype of bladder cancer |
title_short | Identification of an immunotherapy-responsive molecular subtype of bladder cancer |
title_sort | identification of an immunotherapy-responsive molecular subtype of bladder cancer |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921227/ https://www.ncbi.nlm.nih.gov/pubmed/31735557 http://dx.doi.org/10.1016/j.ebiom.2019.10.058 |
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