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Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer

The clinical and molecular phenotypes of prostate cancer (PCa) exhibit substantial heterogeneity, ranging from indolent to metastatic disease. In this study, we aimed to identify PCa subtypes and construct a gene signature that can predict the recurrence-free survival (RFS) of PCa patients based on...

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Autores principales: Ma, Hangbin, Zhou, Cheng, Ge, Jianchao, Yu, Wandong, Zhou, Yinghao, Wang, Pengyu, Zhang, Xuehu, Zhang, Jun, Shi, Guowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871366/
https://www.ncbi.nlm.nih.gov/pubmed/36704352
http://dx.doi.org/10.3389/fgene.2022.1110723
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author Ma, Hangbin
Zhou, Cheng
Ge, Jianchao
Yu, Wandong
Zhou, Yinghao
Wang, Pengyu
Zhang, Xuehu
Zhang, Jun
Shi, Guowei
author_facet Ma, Hangbin
Zhou, Cheng
Ge, Jianchao
Yu, Wandong
Zhou, Yinghao
Wang, Pengyu
Zhang, Xuehu
Zhang, Jun
Shi, Guowei
author_sort Ma, Hangbin
collection PubMed
description The clinical and molecular phenotypes of prostate cancer (PCa) exhibit substantial heterogeneity, ranging from indolent to metastatic disease. In this study, we aimed to identify PCa subtypes and construct a gene signature that can predict the recurrence-free survival (RFS) of PCa patients based on chromatin regulators genes (CRGs). Strikingly, we identified two heterogeneous subtypes with distinct clinical and molecular characteristics. Furthermore, by performing differential analysis between the two CRGs subtypes, we successfully constructed a gene signature to predict PCa prognosis. The signature, comprising four genes (MXD3, SSTR1, AMH and PPFIA2), was utilized to classify PCa patients into two risk groups; the high-risk group was characterized by poor prognosis and more aggressive clinical features. Moreover, we investigated the immune profile, mutation landscape and molecular pathways in each of the groups. Additionally, drug-susceptibility testing was performed to explore sensitive drugs for high-risk patients. Furthermore, we found that MXD3 downregulation suppressed the proliferation of PCa cell lines in vitro. Overall, our results highlight the signature based on CRGs as a powerful tool for predicting RFS of PCa patients, as well as an indicator for personalized treatment of those patients.
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spelling pubmed-98713662023-01-25 Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer Ma, Hangbin Zhou, Cheng Ge, Jianchao Yu, Wandong Zhou, Yinghao Wang, Pengyu Zhang, Xuehu Zhang, Jun Shi, Guowei Front Genet Genetics The clinical and molecular phenotypes of prostate cancer (PCa) exhibit substantial heterogeneity, ranging from indolent to metastatic disease. In this study, we aimed to identify PCa subtypes and construct a gene signature that can predict the recurrence-free survival (RFS) of PCa patients based on chromatin regulators genes (CRGs). Strikingly, we identified two heterogeneous subtypes with distinct clinical and molecular characteristics. Furthermore, by performing differential analysis between the two CRGs subtypes, we successfully constructed a gene signature to predict PCa prognosis. The signature, comprising four genes (MXD3, SSTR1, AMH and PPFIA2), was utilized to classify PCa patients into two risk groups; the high-risk group was characterized by poor prognosis and more aggressive clinical features. Moreover, we investigated the immune profile, mutation landscape and molecular pathways in each of the groups. Additionally, drug-susceptibility testing was performed to explore sensitive drugs for high-risk patients. Furthermore, we found that MXD3 downregulation suppressed the proliferation of PCa cell lines in vitro. Overall, our results highlight the signature based on CRGs as a powerful tool for predicting RFS of PCa patients, as well as an indicator for personalized treatment of those patients. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9871366/ /pubmed/36704352 http://dx.doi.org/10.3389/fgene.2022.1110723 Text en Copyright © 2023 Ma, Zhou, Ge, Yu, Zhou, Wang, Zhang, Zhang and Shi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Ma, Hangbin
Zhou, Cheng
Ge, Jianchao
Yu, Wandong
Zhou, Yinghao
Wang, Pengyu
Zhang, Xuehu
Zhang, Jun
Shi, Guowei
Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
title Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
title_full Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
title_fullStr Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
title_full_unstemmed Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
title_short Identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
title_sort identification of molecular subtypes and a prognostic signature based on chromatin regulators related genes in prostate cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871366/
https://www.ncbi.nlm.nih.gov/pubmed/36704352
http://dx.doi.org/10.3389/fgene.2022.1110723
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