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Identification of senescence-related molecular subtypes and key genes for prostate cancer

We identified distinct senescence-related molecular subtypes and critical genes among prostate cancer (PCa) patients undergoing radical prostatectomy (RP) or radical radiotherapy (RT). We conducted all analyses using R software and its suitable packages. Twelve genes, namely, secreted frizzled-relat...

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Autores principales: Feng, De-Chao, Zhu, Wei-Zhen, Shi, Xu, Xiong, Qiao, You, Jia, Wei, Qiang, Yang, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069687/
https://www.ncbi.nlm.nih.gov/pubmed/36124532
http://dx.doi.org/10.4103/aja202258
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author Feng, De-Chao
Zhu, Wei-Zhen
Shi, Xu
Xiong, Qiao
You, Jia
Wei, Qiang
Yang, Lu
author_facet Feng, De-Chao
Zhu, Wei-Zhen
Shi, Xu
Xiong, Qiao
You, Jia
Wei, Qiang
Yang, Lu
author_sort Feng, De-Chao
collection PubMed
description We identified distinct senescence-related molecular subtypes and critical genes among prostate cancer (PCa) patients undergoing radical prostatectomy (RP) or radical radiotherapy (RT). We conducted all analyses using R software and its suitable packages. Twelve genes, namely, secreted frizzled-related protein 4 (SFRP4), DNA topoisomerase II alpha (TOP2A), pleiotrophin (PTN), family with sequence similarity 107 member A (FAM107A), C-X-C motif chemokine ligand 14 (CXCL14), prostate androgen-regulated mucin-like protein 1 (PARM1), leucine zipper protein 2 (LUZP2), cluster of differentiation 38 (CD38), cartilage oligomeric matrix protein (COMP), vestigial-like family member 3 (VGLL3), apolipoprotein E (APOE), and aldehyde dehydrogenase 2 family member (ALDH2), were eventually used to subtype PCa patients from The Cancer Genome Atlas (TCGA) database and GSE116918, and the molecular subtypes showed good correlations with clinical features. In terms of the tumor immune environment (TME) analysis, compared with cluster 1, cancer-associated fibroblasts (CAFs) scored significantly higher, while endothelial cells scored lower in cluster 2 in TCGA database. There was a statistically significant correlation between both CAFs and endothelial cells with biochemical recurrence (BCR)-free survival for PCa patients undergoing RP. For the GSE116918 database, cluster 2 had significantly lower levels of CAFs and tumor purity and higher levels of stromal, immune, and Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) scores than cluster 1; in addition, patients with high levels of CAFs, stromal scores, immune scores, and ESTIMATE scores and low levels of tumor purity tended to suffer from BCR. Based on the median of differentially expressed checkpoints, high expression of CD96, hepatitis A virus cellular receptor 2 (HAVCR2), and neuropilin 1 (NRP1) in GSE116918 and high expression of CD160 and tumor necrosis factor (ligand) superfamily member 18 (TNFSF18) in TCGA database were associated with a significantly higher risk of BCR than their counterparts. In conclusion, we first constructed distinct molecular subtypes and critical genes for PCa patients undergoing RP or RT from the fresh perspective of senescence.
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spelling pubmed-100696872023-04-04 Identification of senescence-related molecular subtypes and key genes for prostate cancer Feng, De-Chao Zhu, Wei-Zhen Shi, Xu Xiong, Qiao You, Jia Wei, Qiang Yang, Lu Asian J Androl Invited Original Article We identified distinct senescence-related molecular subtypes and critical genes among prostate cancer (PCa) patients undergoing radical prostatectomy (RP) or radical radiotherapy (RT). We conducted all analyses using R software and its suitable packages. Twelve genes, namely, secreted frizzled-related protein 4 (SFRP4), DNA topoisomerase II alpha (TOP2A), pleiotrophin (PTN), family with sequence similarity 107 member A (FAM107A), C-X-C motif chemokine ligand 14 (CXCL14), prostate androgen-regulated mucin-like protein 1 (PARM1), leucine zipper protein 2 (LUZP2), cluster of differentiation 38 (CD38), cartilage oligomeric matrix protein (COMP), vestigial-like family member 3 (VGLL3), apolipoprotein E (APOE), and aldehyde dehydrogenase 2 family member (ALDH2), were eventually used to subtype PCa patients from The Cancer Genome Atlas (TCGA) database and GSE116918, and the molecular subtypes showed good correlations with clinical features. In terms of the tumor immune environment (TME) analysis, compared with cluster 1, cancer-associated fibroblasts (CAFs) scored significantly higher, while endothelial cells scored lower in cluster 2 in TCGA database. There was a statistically significant correlation between both CAFs and endothelial cells with biochemical recurrence (BCR)-free survival for PCa patients undergoing RP. For the GSE116918 database, cluster 2 had significantly lower levels of CAFs and tumor purity and higher levels of stromal, immune, and Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) scores than cluster 1; in addition, patients with high levels of CAFs, stromal scores, immune scores, and ESTIMATE scores and low levels of tumor purity tended to suffer from BCR. Based on the median of differentially expressed checkpoints, high expression of CD96, hepatitis A virus cellular receptor 2 (HAVCR2), and neuropilin 1 (NRP1) in GSE116918 and high expression of CD160 and tumor necrosis factor (ligand) superfamily member 18 (TNFSF18) in TCGA database were associated with a significantly higher risk of BCR than their counterparts. In conclusion, we first constructed distinct molecular subtypes and critical genes for PCa patients undergoing RP or RT from the fresh perspective of senescence. Wolters Kluwer - Medknow 2022-09-09 /pmc/articles/PMC10069687/ /pubmed/36124532 http://dx.doi.org/10.4103/aja202258 Text en Copyright: © The Author(s)(2022) https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Invited Original Article
Feng, De-Chao
Zhu, Wei-Zhen
Shi, Xu
Xiong, Qiao
You, Jia
Wei, Qiang
Yang, Lu
Identification of senescence-related molecular subtypes and key genes for prostate cancer
title Identification of senescence-related molecular subtypes and key genes for prostate cancer
title_full Identification of senescence-related molecular subtypes and key genes for prostate cancer
title_fullStr Identification of senescence-related molecular subtypes and key genes for prostate cancer
title_full_unstemmed Identification of senescence-related molecular subtypes and key genes for prostate cancer
title_short Identification of senescence-related molecular subtypes and key genes for prostate cancer
title_sort identification of senescence-related molecular subtypes and key genes for prostate cancer
topic Invited Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069687/
https://www.ncbi.nlm.nih.gov/pubmed/36124532
http://dx.doi.org/10.4103/aja202258
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