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A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma
BACKGROUND: Colon adenocarcinoma (COAD) is a fatal disease, and its cases are constantly increasing worldwide. Further, the therapeutic and management strategies for patients with COAD are still unsatisfactory due to the lack of accurate patient classification and prognostic models. Therefore, our s...
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/PMC9755665/ https://www.ncbi.nlm.nih.gov/pubmed/36532007 http://dx.doi.org/10.3389/fimmu.2022.1052182 |
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author | Cheng, Xuehua Wei, Yong Fu, Yugang Li, Jiacheng Han, Li |
author_facet | Cheng, Xuehua Wei, Yong Fu, Yugang Li, Jiacheng Han, Li |
author_sort | Cheng, Xuehua |
collection | PubMed |
description | BACKGROUND: Colon adenocarcinoma (COAD) is a fatal disease, and its cases are constantly increasing worldwide. Further, the therapeutic and management strategies for patients with COAD are still unsatisfactory due to the lack of accurate patient classification and prognostic models. Therefore, our study aims to identify prognostic markers in patients with COAD and construct a cell subtype-specific prognostic model with high accuracy and robustness. METHODS: Single-cell transcriptomic data of six samples were retrieved from the Gene expression omnibus (GEO) database. The cluster annotation and cell-cell communication analysis identified enterocytes as a key player mediating signal communication networks. A four-gene signature prognostic model was constructed based on the enterocyte-related differentially expressed genes (ERDEGs) in patients with COAD of the Cancer Genome Atlas cohort. The prognostic model was validated on three external validation cohorts from the GEO database. The correlation between immune cell infiltration, immunotherapy response, drug sensitivity, and the four-gene signature prognostic model was investigated. Finally, immunohistochemistry (IHC) was performed to determine the expression of the four genes. RESULTS: We found that the proportion of epithelial cells was obviously large in COAD samples. Further analysis of epithelial cells showed that the activity of the enterocytes was highest in the cell-cell communication network. Based on enterocyte data, 30 ERDEGs were identified and a 4-gene prognostic model including CPM, CLCA4, ELOVL6, and ATP2A3 was developed and validated. The risk score derived from this model was considered as an independent variable factor to predict overall survival. The patients were divided into high- and low-risk groups based on the median riskscore value. The correlation between immune cell infiltration, immunotherapy response, immune status, clinical characteristics, drug sensitivity, and risk score was analyzed. IHC confirmed the expression of signature genes in tissues from normal individuals, patients with polyps, and COAD. CONCLUSION: In this study, we constructed and validated a novel four-gene signature prognostic model, which could effectively predict the response to immunotherapy and overall survival in patients with COAD. More importantly, this model provides useful insight into the management of colon cancer patients and aids in designing personalized therapy. |
format | Online Article Text |
id | pubmed-9755665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97556652022-12-17 A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma Cheng, Xuehua Wei, Yong Fu, Yugang Li, Jiacheng Han, Li Front Immunol Immunology BACKGROUND: Colon adenocarcinoma (COAD) is a fatal disease, and its cases are constantly increasing worldwide. Further, the therapeutic and management strategies for patients with COAD are still unsatisfactory due to the lack of accurate patient classification and prognostic models. Therefore, our study aims to identify prognostic markers in patients with COAD and construct a cell subtype-specific prognostic model with high accuracy and robustness. METHODS: Single-cell transcriptomic data of six samples were retrieved from the Gene expression omnibus (GEO) database. The cluster annotation and cell-cell communication analysis identified enterocytes as a key player mediating signal communication networks. A four-gene signature prognostic model was constructed based on the enterocyte-related differentially expressed genes (ERDEGs) in patients with COAD of the Cancer Genome Atlas cohort. The prognostic model was validated on three external validation cohorts from the GEO database. The correlation between immune cell infiltration, immunotherapy response, drug sensitivity, and the four-gene signature prognostic model was investigated. Finally, immunohistochemistry (IHC) was performed to determine the expression of the four genes. RESULTS: We found that the proportion of epithelial cells was obviously large in COAD samples. Further analysis of epithelial cells showed that the activity of the enterocytes was highest in the cell-cell communication network. Based on enterocyte data, 30 ERDEGs were identified and a 4-gene prognostic model including CPM, CLCA4, ELOVL6, and ATP2A3 was developed and validated. The risk score derived from this model was considered as an independent variable factor to predict overall survival. The patients were divided into high- and low-risk groups based on the median riskscore value. The correlation between immune cell infiltration, immunotherapy response, immune status, clinical characteristics, drug sensitivity, and risk score was analyzed. IHC confirmed the expression of signature genes in tissues from normal individuals, patients with polyps, and COAD. CONCLUSION: In this study, we constructed and validated a novel four-gene signature prognostic model, which could effectively predict the response to immunotherapy and overall survival in patients with COAD. More importantly, this model provides useful insight into the management of colon cancer patients and aids in designing personalized therapy. Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9755665/ /pubmed/36532007 http://dx.doi.org/10.3389/fimmu.2022.1052182 Text en Copyright © 2022 Cheng, Wei, Fu, Li and Han 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 | Immunology Cheng, Xuehua Wei, Yong Fu, Yugang Li, Jiacheng Han, Li A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
title | A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
title_full | A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
title_fullStr | A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
title_full_unstemmed | A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
title_short | A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
title_sort | novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755665/ https://www.ncbi.nlm.nih.gov/pubmed/36532007 http://dx.doi.org/10.3389/fimmu.2022.1052182 |
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