Cargando…

RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer

Retinoid-related orphan receptor alpha (RORα) and nuclear receptor subfamily 1 group D member 1 (REV-ERBα) play critical roles in many human cancers. Whether RORα and REV-ERBα expression levels are associated with clinical characteristics are poorly understood, and they may be independent predictors...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xiaoshan, Jia, Ru, Chen, Ke, Wang, Jingjing, Jiang, Kai, Wang, Zhengguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721360/
https://www.ncbi.nlm.nih.gov/pubmed/34931925
http://dx.doi.org/10.1177/15330338211039670
_version_ 1784625323188420608
author Wang, Xiaoshan
Jia, Ru
Chen, Ke
Wang, Jingjing
Jiang, Kai
Wang, Zhengguang
author_facet Wang, Xiaoshan
Jia, Ru
Chen, Ke
Wang, Jingjing
Jiang, Kai
Wang, Zhengguang
author_sort Wang, Xiaoshan
collection PubMed
description Retinoid-related orphan receptor alpha (RORα) and nuclear receptor subfamily 1 group D member 1 (REV-ERBα) play critical roles in many human cancers. Whether RORα and REV-ERBα expression levels are associated with clinical characteristics are poorly understood, and they may be independent predictors of overall survival (OS) and progression-free survival (PFS) in gastric cancer (GC). This study aimed to investigate the correlation of RORα and REV-ERBα expression levels with clinicopathological parameters, OS, and PFS in GC. Immunohistochemistry and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were employed to assess the expression levels of RORα and REV-ERBα, which were downregulated in GC tissues compared with normal gastric tissues (P < .001; P < .001) and were associated with several clinicopathological parameters, including histological grade (P = .032; P < .001), preoperative carcinoembryonic antigen (CEA) levels (P = .004; P < .001), and tumor-node-metastasis (TNM) stage (P = .015; P < .001). Additionally, low RORα and REV-ERBα expression levels were associated with poor OS and PFS in GC patients, respectively (P < .001; P = .001). Furthermore, univariate Cox regression model analysis showed that histological grade (P < .001; P < .001), preoperative CEA levels (P < .001; P = .001), TNM stage (P < .001; P < .001), lymph node metastasis (P = .002; P = .002), RORα expression levels (P = .001; P < .001), and REV-ERBα expression levels (P < .001; P = .001) were associated with OS and PFS in GC. Multivariate Cox regression model analysis indicated that RORα expression levels and REV-ERBα expression levels are independent factors of OS and PFS in GC. Besides, RORα and REV-ERBα expression may be positively correlated (χ(2) = 6.835; P = .009), and GC patients with both high RORα and REV-ERBα expression levels had the best prognosis. In conclusion, RORα and REV-ERBα may coparticipate in tumor activities and show potential to estimate the prognosis of GC.
format Online
Article
Text
id pubmed-8721360
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-87213602022-01-04 RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer Wang, Xiaoshan Jia, Ru Chen, Ke Wang, Jingjing Jiang, Kai Wang, Zhengguang Technol Cancer Res Treat Original Article Retinoid-related orphan receptor alpha (RORα) and nuclear receptor subfamily 1 group D member 1 (REV-ERBα) play critical roles in many human cancers. Whether RORα and REV-ERBα expression levels are associated with clinical characteristics are poorly understood, and they may be independent predictors of overall survival (OS) and progression-free survival (PFS) in gastric cancer (GC). This study aimed to investigate the correlation of RORα and REV-ERBα expression levels with clinicopathological parameters, OS, and PFS in GC. Immunohistochemistry and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were employed to assess the expression levels of RORα and REV-ERBα, which were downregulated in GC tissues compared with normal gastric tissues (P < .001; P < .001) and were associated with several clinicopathological parameters, including histological grade (P = .032; P < .001), preoperative carcinoembryonic antigen (CEA) levels (P = .004; P < .001), and tumor-node-metastasis (TNM) stage (P = .015; P < .001). Additionally, low RORα and REV-ERBα expression levels were associated with poor OS and PFS in GC patients, respectively (P < .001; P = .001). Furthermore, univariate Cox regression model analysis showed that histological grade (P < .001; P < .001), preoperative CEA levels (P < .001; P = .001), TNM stage (P < .001; P < .001), lymph node metastasis (P = .002; P = .002), RORα expression levels (P = .001; P < .001), and REV-ERBα expression levels (P < .001; P = .001) were associated with OS and PFS in GC. Multivariate Cox regression model analysis indicated that RORα expression levels and REV-ERBα expression levels are independent factors of OS and PFS in GC. Besides, RORα and REV-ERBα expression may be positively correlated (χ(2) = 6.835; P = .009), and GC patients with both high RORα and REV-ERBα expression levels had the best prognosis. In conclusion, RORα and REV-ERBα may coparticipate in tumor activities and show potential to estimate the prognosis of GC. SAGE Publications 2021-12-21 /pmc/articles/PMC8721360/ /pubmed/34931925 http://dx.doi.org/10.1177/15330338211039670 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Wang, Xiaoshan
Jia, Ru
Chen, Ke
Wang, Jingjing
Jiang, Kai
Wang, Zhengguang
RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer
title RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer
title_full RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer
title_fullStr RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer
title_full_unstemmed RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer
title_short RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer
title_sort rorα and rev-erbα are associated with clinicopathological parameters and are independent biomarkers of prognosis in gastric cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721360/
https://www.ncbi.nlm.nih.gov/pubmed/34931925
http://dx.doi.org/10.1177/15330338211039670
work_keys_str_mv AT wangxiaoshan roraandreverbaareassociatedwithclinicopathologicalparametersandareindependentbiomarkersofprognosisingastriccancer
AT jiaru roraandreverbaareassociatedwithclinicopathologicalparametersandareindependentbiomarkersofprognosisingastriccancer
AT chenke roraandreverbaareassociatedwithclinicopathologicalparametersandareindependentbiomarkersofprognosisingastriccancer
AT wangjingjing roraandreverbaareassociatedwithclinicopathologicalparametersandareindependentbiomarkersofprognosisingastriccancer
AT jiangkai roraandreverbaareassociatedwithclinicopathologicalparametersandareindependentbiomarkersofprognosisingastriccancer
AT wangzhengguang roraandreverbaareassociatedwithclinicopathologicalparametersandareindependentbiomarkersofprognosisingastriccancer