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Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature

TP53 is the most frequently mutated gene in muscle invasive bladder cancer (MIBC) and there are two gene signatures regarding TP53 developed for MIBC prognosis. However, they are limited to immune genes only and unable to be used individually across platforms due to their quantitative manners. We us...

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Autores principales: Liu, Hua-Ping, Jia, Wei, Kadeerhan, Gaohaer, Xue, Bo, Guo, Wenmin, Niu, Lu, Wang, Xiaoliang, Wu, Xiaolin, Li, Haitao, Tian, Jun, Wang, Dongwen, Lai, Hung-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873666/
https://www.ncbi.nlm.nih.gov/pubmed/36689862
http://dx.doi.org/10.1016/j.tranon.2023.101629
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author Liu, Hua-Ping
Jia, Wei
Kadeerhan, Gaohaer
Xue, Bo
Guo, Wenmin
Niu, Lu
Wang, Xiaoliang
Wu, Xiaolin
Li, Haitao
Tian, Jun
Wang, Dongwen
Lai, Hung-Ming
author_facet Liu, Hua-Ping
Jia, Wei
Kadeerhan, Gaohaer
Xue, Bo
Guo, Wenmin
Niu, Lu
Wang, Xiaoliang
Wu, Xiaolin
Li, Haitao
Tian, Jun
Wang, Dongwen
Lai, Hung-Ming
author_sort Liu, Hua-Ping
collection PubMed
description TP53 is the most frequently mutated gene in muscle invasive bladder cancer (MIBC) and there are two gene signatures regarding TP53 developed for MIBC prognosis. However, they are limited to immune genes only and unable to be used individually across platforms due to their quantitative manners. We used 827 gene expression profiles from seven MIBC cohorts with varied platforms to build a pairwise TP53-derived transcriptome signature, 13 gene pairs (13-GPs). Since the 13-GPs model is a single sample prognostic predictor, it can be applied individually in practice and is applicable to any gene-expression platforms without specific normalization requirements. Survival difference between high-risk and low-risk patients stratified by the 13-GPs test was statistically significant (HR range: 2.26–2.76, all P < .0001). Discovery and validation sets showed that the 13-GPs was an independent prognostic factor after adjusting other clinical features (HR range: 2.21–2.82, all P < .05). Moreover, it was a potential supplement to the consensus molecular classification of MIBC to further stratify the LumP subtype (patients with better prognoses). High- and low-risk patients by the 13-GPs model presented distinct immune microenvironment and DDR mutation rates, suggesting that it might have the potential for immunotherapy. Being a general approach to other cancer types, this study demonstrated how we integrated gene variants with pairwise gene panels to build a single sample prognostic test in translational oncology.
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spelling pubmed-98736662023-02-02 Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature Liu, Hua-Ping Jia, Wei Kadeerhan, Gaohaer Xue, Bo Guo, Wenmin Niu, Lu Wang, Xiaoliang Wu, Xiaolin Li, Haitao Tian, Jun Wang, Dongwen Lai, Hung-Ming Transl Oncol Original Research TP53 is the most frequently mutated gene in muscle invasive bladder cancer (MIBC) and there are two gene signatures regarding TP53 developed for MIBC prognosis. However, they are limited to immune genes only and unable to be used individually across platforms due to their quantitative manners. We used 827 gene expression profiles from seven MIBC cohorts with varied platforms to build a pairwise TP53-derived transcriptome signature, 13 gene pairs (13-GPs). Since the 13-GPs model is a single sample prognostic predictor, it can be applied individually in practice and is applicable to any gene-expression platforms without specific normalization requirements. Survival difference between high-risk and low-risk patients stratified by the 13-GPs test was statistically significant (HR range: 2.26–2.76, all P < .0001). Discovery and validation sets showed that the 13-GPs was an independent prognostic factor after adjusting other clinical features (HR range: 2.21–2.82, all P < .05). Moreover, it was a potential supplement to the consensus molecular classification of MIBC to further stratify the LumP subtype (patients with better prognoses). High- and low-risk patients by the 13-GPs model presented distinct immune microenvironment and DDR mutation rates, suggesting that it might have the potential for immunotherapy. Being a general approach to other cancer types, this study demonstrated how we integrated gene variants with pairwise gene panels to build a single sample prognostic test in translational oncology. Neoplasia Press 2023-01-21 /pmc/articles/PMC9873666/ /pubmed/36689862 http://dx.doi.org/10.1016/j.tranon.2023.101629 Text en © 2023 The Authors. Published by Elsevier Inc. https://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 Original Research
Liu, Hua-Ping
Jia, Wei
Kadeerhan, Gaohaer
Xue, Bo
Guo, Wenmin
Niu, Lu
Wang, Xiaoliang
Wu, Xiaolin
Li, Haitao
Tian, Jun
Wang, Dongwen
Lai, Hung-Ming
Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature
title Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature
title_full Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature
title_fullStr Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature
title_full_unstemmed Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature
title_short Individualized prognosis stratification in muscle invasive bladder cancer: A pairwise TP53-derived transcriptome signature
title_sort individualized prognosis stratification in muscle invasive bladder cancer: a pairwise tp53-derived transcriptome signature
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873666/
https://www.ncbi.nlm.nih.gov/pubmed/36689862
http://dx.doi.org/10.1016/j.tranon.2023.101629
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