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Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer
A growing number of studies have shown that immunity plays an important clinical role in the process of gastric cancer (GC). The purpose of this study was to explore the function of differentially expressed immune-related genes (DEIRGs) of GC, and construct a gene signature to predict the overall su...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841693/ https://www.ncbi.nlm.nih.gov/pubmed/35174205 http://dx.doi.org/10.3389/fsurg.2022.829237 |
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author | Li, Mengying Cao, Wei Huang, Bingqian Zhu, Zhipeng Chen, Yaxin Zhang, Jiawei Cao, Guodong Chen, Bo |
author_facet | Li, Mengying Cao, Wei Huang, Bingqian Zhu, Zhipeng Chen, Yaxin Zhang, Jiawei Cao, Guodong Chen, Bo |
author_sort | Li, Mengying |
collection | PubMed |
description | A growing number of studies have shown that immunity plays an important clinical role in the process of gastric cancer (GC). The purpose of this study was to explore the function of differentially expressed immune-related genes (DEIRGs) of GC, and construct a gene signature to predict the overall survival (OS) of patients. Gene expression profiles and clinical data of GC patients were downloaded from TCGA and GEO databases. Combined with immune-related genes (IRGs) downloaded from the ImmPort database, 357 DEIRGs in GC tissues and adjacent tissues were identified. Based on the analysis of Lasso and Cox in the training set, a prognostic risk scoring model consisting of 9 (RBP7, DES, CCR1, PNOC, SPP1, VIP, TNFRSF12A, TUBB3, PRKCG) DEIRGs was obtained. Functional analysis revealed that model genes may participate in the formation and development of tumor cells by affecting the function of cell gap junction intercellular communication (GJJC). According to the model score, the samples were divided into high-risk and low-risk groups. In multivariate Cox regression analysis, the risk score was an independent prognostic factor (HR = 1.674, 95% CI = 1.470–1.907, P < 0.001). Survival analysis showed that the OS of high-risk GC patients was significantly lower than that of low-risk GC patients (P < 0.001). The area under the receiver operating characteristic curve (ROC) of the model was greater than other clinical indicators when verified in various data sets, confirming that the prediction model has a reliable accuracy. In conclusion, this study has explored the biological functions of DEIRGs in GC and discovered novel gene targets for the treatment of GC. The constructed prognostic gene signature is helpful for clinicians to determine the prognosis of GC patients and formulate personalized treatment plans. |
format | Online Article Text |
id | pubmed-8841693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88416932022-02-15 Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer Li, Mengying Cao, Wei Huang, Bingqian Zhu, Zhipeng Chen, Yaxin Zhang, Jiawei Cao, Guodong Chen, Bo Front Surg Surgery A growing number of studies have shown that immunity plays an important clinical role in the process of gastric cancer (GC). The purpose of this study was to explore the function of differentially expressed immune-related genes (DEIRGs) of GC, and construct a gene signature to predict the overall survival (OS) of patients. Gene expression profiles and clinical data of GC patients were downloaded from TCGA and GEO databases. Combined with immune-related genes (IRGs) downloaded from the ImmPort database, 357 DEIRGs in GC tissues and adjacent tissues were identified. Based on the analysis of Lasso and Cox in the training set, a prognostic risk scoring model consisting of 9 (RBP7, DES, CCR1, PNOC, SPP1, VIP, TNFRSF12A, TUBB3, PRKCG) DEIRGs was obtained. Functional analysis revealed that model genes may participate in the formation and development of tumor cells by affecting the function of cell gap junction intercellular communication (GJJC). According to the model score, the samples were divided into high-risk and low-risk groups. In multivariate Cox regression analysis, the risk score was an independent prognostic factor (HR = 1.674, 95% CI = 1.470–1.907, P < 0.001). Survival analysis showed that the OS of high-risk GC patients was significantly lower than that of low-risk GC patients (P < 0.001). The area under the receiver operating characteristic curve (ROC) of the model was greater than other clinical indicators when verified in various data sets, confirming that the prediction model has a reliable accuracy. In conclusion, this study has explored the biological functions of DEIRGs in GC and discovered novel gene targets for the treatment of GC. The constructed prognostic gene signature is helpful for clinicians to determine the prognosis of GC patients and formulate personalized treatment plans. Frontiers Media S.A. 2022-01-31 /pmc/articles/PMC8841693/ /pubmed/35174205 http://dx.doi.org/10.3389/fsurg.2022.829237 Text en Copyright © 2022 Li, Cao, Huang, Zhu, Chen, Zhang, Cao and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Surgery Li, Mengying Cao, Wei Huang, Bingqian Zhu, Zhipeng Chen, Yaxin Zhang, Jiawei Cao, Guodong Chen, Bo Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer |
title | Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer |
title_full | Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer |
title_fullStr | Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer |
title_full_unstemmed | Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer |
title_short | Establishment and Analysis of an Individualized Immune-Related Gene Signature for the Prognosis of Gastric Cancer |
title_sort | establishment and analysis of an individualized immune-related gene signature for the prognosis of gastric cancer |
topic | Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841693/ https://www.ncbi.nlm.nih.gov/pubmed/35174205 http://dx.doi.org/10.3389/fsurg.2022.829237 |
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