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GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival
BACKGROUND AND OBJECTIVE: Liver cancer is a malignancy with a poor prognosis. G protein signaling modulator 2 is mainly related to cell division and cell cycle regulation. In this review, the relationship between G protein signaling modulator 2 and clinical characteristics of patients with liver can...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440740/ https://www.ncbi.nlm.nih.gov/pubmed/32812493 http://dx.doi.org/10.1177/1533033820945817 |
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author | Yang, Dingquan Ji, Fujian Li, Yanqing Jiao, Yan Fang, Xuedong |
author_facet | Yang, Dingquan Ji, Fujian Li, Yanqing Jiao, Yan Fang, Xuedong |
author_sort | Yang, Dingquan |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Liver cancer is a malignancy with a poor prognosis. G protein signaling modulator 2 is mainly related to cell division and cell cycle regulation. In this review, the relationship between G protein signaling modulator 2 and clinical characteristics of patients with liver cancer has been explored, especially with respect to its prognostic value. METHODS: G protein signaling modulator 2 messenger RNA expression and clinicopathological characteristics of patients with liver cancer were obtained from The Cancer Genome Atlas. The expression level of G protein signaling modulator 2 RNA-Seq was validated by using Gene Expression Omnibus. Chi-square test was performed to evaluate the relationship between G protein signaling modulator 2 expression and clinical characteristics. The threshold value of G protein signaling modulator 2 in the diagnosis of liver cancer was evaluated by a receiver–operating characteristic curve. Cox regression analysis and Kaplan-Meier curves were performed to evaluate the relationship between G protein signaling modulator 2 and liver cancer prognosis, which included overall and residual-free survival, and explored the prognostic value of G protein signaling modulator 2. Liver cancer survival analyses were validated by using the data of G protein signaling modulator 2 RNA-Seq from the International Cancer Genome Consortium. RESULTS: The expression level of G protein signaling modulator 2 messenger RNA was remarkably higher in liver cancer than that in healthy tissues (P < 2.2 × e(−16)), which was also validated by data from the GSE14520 database. In addition, high G protein signaling modulator 2 expression significantly correlated with histological grade (P = .020), vital status (P < .001), clinical (P = .001), and T stage (P = .001). The receiver–operating characteristic curves showed G protein signaling modulator 2 to be an advantageous diagnostic molecule for liver cancer (area under curve = 0.893). Furthermore, the results of Cox analysis and Kaplan-Meier curves suggested that the upregulation of G protein signaling modulator 2 expression is linked to poor prognosis and G protein signaling modulator 2 messenger RNA could be an independent predictor for liver cancer, which was validated by data from the International Cancer Genome Consortium database. CONCLUSIONS: G protein signaling modulator 2 messenger RNA was overexpressed in liver cancer, and G protein signaling modulator 2 is an independent prognostic factor. G protein signaling modulator 2 is expected to be a treatment target for cancer. |
format | Online Article Text |
id | pubmed-7440740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74407402020-09-02 GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival Yang, Dingquan Ji, Fujian Li, Yanqing Jiao, Yan Fang, Xuedong Technol Cancer Res Treat Original Article BACKGROUND AND OBJECTIVE: Liver cancer is a malignancy with a poor prognosis. G protein signaling modulator 2 is mainly related to cell division and cell cycle regulation. In this review, the relationship between G protein signaling modulator 2 and clinical characteristics of patients with liver cancer has been explored, especially with respect to its prognostic value. METHODS: G protein signaling modulator 2 messenger RNA expression and clinicopathological characteristics of patients with liver cancer were obtained from The Cancer Genome Atlas. The expression level of G protein signaling modulator 2 RNA-Seq was validated by using Gene Expression Omnibus. Chi-square test was performed to evaluate the relationship between G protein signaling modulator 2 expression and clinical characteristics. The threshold value of G protein signaling modulator 2 in the diagnosis of liver cancer was evaluated by a receiver–operating characteristic curve. Cox regression analysis and Kaplan-Meier curves were performed to evaluate the relationship between G protein signaling modulator 2 and liver cancer prognosis, which included overall and residual-free survival, and explored the prognostic value of G protein signaling modulator 2. Liver cancer survival analyses were validated by using the data of G protein signaling modulator 2 RNA-Seq from the International Cancer Genome Consortium. RESULTS: The expression level of G protein signaling modulator 2 messenger RNA was remarkably higher in liver cancer than that in healthy tissues (P < 2.2 × e(−16)), which was also validated by data from the GSE14520 database. In addition, high G protein signaling modulator 2 expression significantly correlated with histological grade (P = .020), vital status (P < .001), clinical (P = .001), and T stage (P = .001). The receiver–operating characteristic curves showed G protein signaling modulator 2 to be an advantageous diagnostic molecule for liver cancer (area under curve = 0.893). Furthermore, the results of Cox analysis and Kaplan-Meier curves suggested that the upregulation of G protein signaling modulator 2 expression is linked to poor prognosis and G protein signaling modulator 2 messenger RNA could be an independent predictor for liver cancer, which was validated by data from the International Cancer Genome Consortium database. CONCLUSIONS: G protein signaling modulator 2 messenger RNA was overexpressed in liver cancer, and G protein signaling modulator 2 is an independent prognostic factor. G protein signaling modulator 2 is expected to be a treatment target for cancer. SAGE Publications 2020-08-19 /pmc/articles/PMC7440740/ /pubmed/32812493 http://dx.doi.org/10.1177/1533033820945817 Text en © The Author(s) 2020 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 pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Yang, Dingquan Ji, Fujian Li, Yanqing Jiao, Yan Fang, Xuedong GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival |
title | GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival |
title_full | GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival |
title_fullStr | GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival |
title_full_unstemmed | GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival |
title_short | GPSM2 Serves as an Independent Prognostic Biomarker for Liver Cancer Survival |
title_sort | gpsm2 serves as an independent prognostic biomarker for liver cancer survival |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440740/ https://www.ncbi.nlm.nih.gov/pubmed/32812493 http://dx.doi.org/10.1177/1533033820945817 |
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