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PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers

Progesterone-induced rapid non-genomic signaling events have been confirmed through several membrane progesterone receptors (mPR). Some mPRs were reported to correlate with cancer progression and patient prognosis. In this study, we conducted a comprehensive analysis of all progesterone receptor (PG...

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Autores principales: Yang, Min, Li, Jean Chong, Tao, Chang, Wu, Sa, Liu, Bin, Shu, Qiang, Li, Benyi, Zhu, Runzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465620/
https://www.ncbi.nlm.nih.gov/pubmed/34572596
http://dx.doi.org/10.3390/biom11091383
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author Yang, Min
Li, Jean Chong
Tao, Chang
Wu, Sa
Liu, Bin
Shu, Qiang
Li, Benyi
Zhu, Runzhi
author_facet Yang, Min
Li, Jean Chong
Tao, Chang
Wu, Sa
Liu, Bin
Shu, Qiang
Li, Benyi
Zhu, Runzhi
author_sort Yang, Min
collection PubMed
description Progesterone-induced rapid non-genomic signaling events have been confirmed through several membrane progesterone receptors (mPR). Some mPRs were reported to correlate with cancer progression and patient prognosis. In this study, we conducted a comprehensive analysis of all progesterone receptor (PGR)-related genes in prostate cancer tissues and examined the correlations of their expression levels with disease progression and patient survival outcomes. We utilized multiple RNA-seq and cDNA microarray datasets to analyze gene expression profiles and performed logistics aggression and Kaplan-Meier survival analysis after stratifying patients based on tumor stages and Gleason scores. We also used NCBI GEO datasets to examine gene expression patterns in individual cell types of the prostate gland and to determine the androgen-induced alteration of gene expression. Spearman coefficient analysis was conducted to access the correlation of target gene expression with treatment responses and disease progression status. The classic PGR was mainly expressed in stromal cells and progestin and adipoQ receptor (PAQR) genes were the predominant genes in prostate epithelial cells. Progesterone receptor membrane component-1 (PGRMC1) was significantly higher than PGRMC2 in all prostate cell types. In prostate cancer tissues, PAQR6 expression was significantly upregulated, while all other genes were largely downregulated compared to normal prostate tissues. Although both PAQR6 upregulation and PAQR5 downregulation were significantly correlated with tumor pathological stages, only PAQR6 upregulation was associated with Gleason score, free-prostate-specific antigen (fPSA)/total-PSA (tPSA) ratio, and patient overall survival outcomes. In addition, PAQR6 upregulation and PGR/PGRMC1 downregulation were significantly associated with a quick relapse. Conversely, in neuroendocrinal prostate cancer (NEPC) tissues, PAQR6 expression was significantly lower, but PAQR7/8 expression was higher than castration-resistant prostate cancer (CRPC) tissues. PAQR8 expression was positively correlated with androgen receptor (AR) score and AR-V7 expression levels but inversely correlated with NEPC score in metastatic CRPC tumors. This study provides detailed expression profiles of membrane progesterone receptor genes in primary cancer, CRPC, and NEPC tissues. PAQR6 upregulation in primary cancer tissues is a novel prognostic biomarker for disease progression, overall, and progression-free survival in prostate cancers. PAQR8 expression in CRPC tissues is a biomarker for AR activation.
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spelling pubmed-84656202021-09-27 PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers Yang, Min Li, Jean Chong Tao, Chang Wu, Sa Liu, Bin Shu, Qiang Li, Benyi Zhu, Runzhi Biomolecules Article Progesterone-induced rapid non-genomic signaling events have been confirmed through several membrane progesterone receptors (mPR). Some mPRs were reported to correlate with cancer progression and patient prognosis. In this study, we conducted a comprehensive analysis of all progesterone receptor (PGR)-related genes in prostate cancer tissues and examined the correlations of their expression levels with disease progression and patient survival outcomes. We utilized multiple RNA-seq and cDNA microarray datasets to analyze gene expression profiles and performed logistics aggression and Kaplan-Meier survival analysis after stratifying patients based on tumor stages and Gleason scores. We also used NCBI GEO datasets to examine gene expression patterns in individual cell types of the prostate gland and to determine the androgen-induced alteration of gene expression. Spearman coefficient analysis was conducted to access the correlation of target gene expression with treatment responses and disease progression status. The classic PGR was mainly expressed in stromal cells and progestin and adipoQ receptor (PAQR) genes were the predominant genes in prostate epithelial cells. Progesterone receptor membrane component-1 (PGRMC1) was significantly higher than PGRMC2 in all prostate cell types. In prostate cancer tissues, PAQR6 expression was significantly upregulated, while all other genes were largely downregulated compared to normal prostate tissues. Although both PAQR6 upregulation and PAQR5 downregulation were significantly correlated with tumor pathological stages, only PAQR6 upregulation was associated with Gleason score, free-prostate-specific antigen (fPSA)/total-PSA (tPSA) ratio, and patient overall survival outcomes. In addition, PAQR6 upregulation and PGR/PGRMC1 downregulation were significantly associated with a quick relapse. Conversely, in neuroendocrinal prostate cancer (NEPC) tissues, PAQR6 expression was significantly lower, but PAQR7/8 expression was higher than castration-resistant prostate cancer (CRPC) tissues. PAQR8 expression was positively correlated with androgen receptor (AR) score and AR-V7 expression levels but inversely correlated with NEPC score in metastatic CRPC tumors. This study provides detailed expression profiles of membrane progesterone receptor genes in primary cancer, CRPC, and NEPC tissues. PAQR6 upregulation in primary cancer tissues is a novel prognostic biomarker for disease progression, overall, and progression-free survival in prostate cancers. PAQR8 expression in CRPC tissues is a biomarker for AR activation. MDPI 2021-09-18 /pmc/articles/PMC8465620/ /pubmed/34572596 http://dx.doi.org/10.3390/biom11091383 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Min
Li, Jean Chong
Tao, Chang
Wu, Sa
Liu, Bin
Shu, Qiang
Li, Benyi
Zhu, Runzhi
PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers
title PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers
title_full PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers
title_fullStr PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers
title_full_unstemmed PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers
title_short PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers
title_sort paqr6 upregulation is associated with ar signaling and unfavorite prognosis in prostate cancers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465620/
https://www.ncbi.nlm.nih.gov/pubmed/34572596
http://dx.doi.org/10.3390/biom11091383
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