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Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer
BACKGROUND: Accumulating evidence indicates that type II cystatin (CST) genes play a pivotal role in several tumor pathological processes, thereby affecting all stages of tumorigenesis and tumor development. However, the prognostic and predictive value of type II CST genes in GC has not yet been inv...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657128/ https://www.ncbi.nlm.nih.gov/pubmed/37978366 http://dx.doi.org/10.1186/s12885-023-11550-6 |
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author | Chen, Ye-yang Li, Bo-pei Wang, Jun-fu Wang, Ye Luo, Shan-shan Lin, Ru-jing Liao, Xi-wen Chen, Jun-Qiang |
author_facet | Chen, Ye-yang Li, Bo-pei Wang, Jun-fu Wang, Ye Luo, Shan-shan Lin, Ru-jing Liao, Xi-wen Chen, Jun-Qiang |
author_sort | Chen, Ye-yang |
collection | PubMed |
description | BACKGROUND: Accumulating evidence indicates that type II cystatin (CST) genes play a pivotal role in several tumor pathological processes, thereby affecting all stages of tumorigenesis and tumor development. However, the prognostic and predictive value of type II CST genes in GC has not yet been investigated. METHODS: The present study evaluated the expression and prognostic value of type II CST genes in GC by using The Cancer Genome Atlas (TCGA) database and the Kaplan–Meier plotter (KM plotter) online database. The type II CST genes related to the prognosis of GC were then screened out. We then validated the expression and prognostic value of these genes by immunohistochemistry. We also used Database for Annotation, Visualization, and Integrated Discovery (DAVID), Gene Multiple Association Network Integration Algorithm (GeneMANIA), Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), nomogram, genome-wide co-expression analysis, and other bioinformatics tools to analyze the value of type II CST genes in GC and the underlying mechanism. RESULTS: The data from the TCGA database and the KM plotter online database showed that high expression of CST2 and CST4 was associated with the overall survival (OS) of patients with GC. The immunohistochemical expression analysis showed that patients with high expression of CST4 in GC tissues have a shorter OS than those with low expression of CST4 (HR = 1.85,95%CI: 1.13–3.03, P = 0.015). Multivariate Cox regression analysis confirmed that the high expression level of CST4 was an independent prognostic risk factor for OS. CONCLUSIONS: Our findings suggest that CST4 could serve as a tumor marker that affects the prognosis of GC and could be considered as a potential therapeutic target for GC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11550-6. |
format | Online Article Text |
id | pubmed-10657128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106571282023-11-17 Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer Chen, Ye-yang Li, Bo-pei Wang, Jun-fu Wang, Ye Luo, Shan-shan Lin, Ru-jing Liao, Xi-wen Chen, Jun-Qiang BMC Cancer Research BACKGROUND: Accumulating evidence indicates that type II cystatin (CST) genes play a pivotal role in several tumor pathological processes, thereby affecting all stages of tumorigenesis and tumor development. However, the prognostic and predictive value of type II CST genes in GC has not yet been investigated. METHODS: The present study evaluated the expression and prognostic value of type II CST genes in GC by using The Cancer Genome Atlas (TCGA) database and the Kaplan–Meier plotter (KM plotter) online database. The type II CST genes related to the prognosis of GC were then screened out. We then validated the expression and prognostic value of these genes by immunohistochemistry. We also used Database for Annotation, Visualization, and Integrated Discovery (DAVID), Gene Multiple Association Network Integration Algorithm (GeneMANIA), Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), nomogram, genome-wide co-expression analysis, and other bioinformatics tools to analyze the value of type II CST genes in GC and the underlying mechanism. RESULTS: The data from the TCGA database and the KM plotter online database showed that high expression of CST2 and CST4 was associated with the overall survival (OS) of patients with GC. The immunohistochemical expression analysis showed that patients with high expression of CST4 in GC tissues have a shorter OS than those with low expression of CST4 (HR = 1.85,95%CI: 1.13–3.03, P = 0.015). Multivariate Cox regression analysis confirmed that the high expression level of CST4 was an independent prognostic risk factor for OS. CONCLUSIONS: Our findings suggest that CST4 could serve as a tumor marker that affects the prognosis of GC and could be considered as a potential therapeutic target for GC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11550-6. BioMed Central 2023-11-17 /pmc/articles/PMC10657128/ /pubmed/37978366 http://dx.doi.org/10.1186/s12885-023-11550-6 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Ye-yang Li, Bo-pei Wang, Jun-fu Wang, Ye Luo, Shan-shan Lin, Ru-jing Liao, Xi-wen Chen, Jun-Qiang Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer |
title | Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer |
title_full | Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer |
title_fullStr | Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer |
title_full_unstemmed | Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer |
title_short | Investigating the prognostic and predictive value of the type II cystatin genes in gastric cancer |
title_sort | investigating the prognostic and predictive value of the type ii cystatin genes in gastric cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657128/ https://www.ncbi.nlm.nih.gov/pubmed/37978366 http://dx.doi.org/10.1186/s12885-023-11550-6 |
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