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Risk subtyping and prognostic assessment of prostate cancer based on consensus genes

Prostate cancer (PCa) is the most frequent malignancy in male urogenital system around worldwide. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical fo...

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Autores principales: Meng, Jialin, Guan, Yu, Wang, Bijun, Chen, Lei, Chen, Junyi, Zhang, Meng, Liang, Chaozhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924191/
https://www.ncbi.nlm.nih.gov/pubmed/35293897
http://dx.doi.org/10.1038/s42003-022-03164-8
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author Meng, Jialin
Guan, Yu
Wang, Bijun
Chen, Lei
Chen, Junyi
Zhang, Meng
Liang, Chaozhao
author_facet Meng, Jialin
Guan, Yu
Wang, Bijun
Chen, Lei
Chen, Junyi
Zhang, Meng
Liang, Chaozhao
author_sort Meng, Jialin
collection PubMed
description Prostate cancer (PCa) is the most frequent malignancy in male urogenital system around worldwide. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical follow-up information were included. Univariate, multivariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression were used to select prognostic genes and establish the signature. Immunohistochemistry staining, cell proliferation, migration and invasion assays were used to assess the biological functions of key genes. Thirty-nine intersecting consensus prognostic genes from five independent cohorts were identified. Subsequently, an eleven-consensus-gene classifier was established. In addition, multivariate Cox regression analyses showed that the classifier served as an independent indicator of recurrence-free survival in three of the five cohorts. Combined receiver operating characteristic (ROC) analysis achieved synthesized effects by combining the classifier with clinicopathological features in four of five cohorts. SRD5A2 inhibits cell proliferation, while ITGA11 promotes cell migration and invasion, possibly through the PI3K/AKT signaling pathway. To conclude, we established and validated an eleven-consensus-gene classifier, which may add prognostic value to the currently available staging system.
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spelling pubmed-89241912022-03-30 Risk subtyping and prognostic assessment of prostate cancer based on consensus genes Meng, Jialin Guan, Yu Wang, Bijun Chen, Lei Chen, Junyi Zhang, Meng Liang, Chaozhao Commun Biol Article Prostate cancer (PCa) is the most frequent malignancy in male urogenital system around worldwide. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical follow-up information were included. Univariate, multivariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression were used to select prognostic genes and establish the signature. Immunohistochemistry staining, cell proliferation, migration and invasion assays were used to assess the biological functions of key genes. Thirty-nine intersecting consensus prognostic genes from five independent cohorts were identified. Subsequently, an eleven-consensus-gene classifier was established. In addition, multivariate Cox regression analyses showed that the classifier served as an independent indicator of recurrence-free survival in three of the five cohorts. Combined receiver operating characteristic (ROC) analysis achieved synthesized effects by combining the classifier with clinicopathological features in four of five cohorts. SRD5A2 inhibits cell proliferation, while ITGA11 promotes cell migration and invasion, possibly through the PI3K/AKT signaling pathway. To conclude, we established and validated an eleven-consensus-gene classifier, which may add prognostic value to the currently available staging system. Nature Publishing Group UK 2022-03-15 /pmc/articles/PMC8924191/ /pubmed/35293897 http://dx.doi.org/10.1038/s42003-022-03164-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Meng, Jialin
Guan, Yu
Wang, Bijun
Chen, Lei
Chen, Junyi
Zhang, Meng
Liang, Chaozhao
Risk subtyping and prognostic assessment of prostate cancer based on consensus genes
title Risk subtyping and prognostic assessment of prostate cancer based on consensus genes
title_full Risk subtyping and prognostic assessment of prostate cancer based on consensus genes
title_fullStr Risk subtyping and prognostic assessment of prostate cancer based on consensus genes
title_full_unstemmed Risk subtyping and prognostic assessment of prostate cancer based on consensus genes
title_short Risk subtyping and prognostic assessment of prostate cancer based on consensus genes
title_sort risk subtyping and prognostic assessment of prostate cancer based on consensus genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924191/
https://www.ncbi.nlm.nih.gov/pubmed/35293897
http://dx.doi.org/10.1038/s42003-022-03164-8
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