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Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma
The overall survival of metastatic colon adenocarcinoma (COAD) remains poor, so it is important to explore the mechanisms of metastasis and invasion. This study aimed to identify invasion-related genetic markers for prognosis prediction in patients with COAD. Three molecular subtypes (C1, C2, and C3...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881672/ https://www.ncbi.nlm.nih.gov/pubmed/33579281 http://dx.doi.org/10.1186/s12935-021-01795-1 |
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author | Liu, Jiahua Jiang, Chunhui Xu, Chunjie Wang, Dongyang Shen, Yuguang Liu, Ye Gu, Lei |
author_facet | Liu, Jiahua Jiang, Chunhui Xu, Chunjie Wang, Dongyang Shen, Yuguang Liu, Ye Gu, Lei |
author_sort | Liu, Jiahua |
collection | PubMed |
description | The overall survival of metastatic colon adenocarcinoma (COAD) remains poor, so it is important to explore the mechanisms of metastasis and invasion. This study aimed to identify invasion-related genetic markers for prognosis prediction in patients with COAD. Three molecular subtypes (C1, C2, and C3) were obtained based on 97 metastasis-related genes in 365 COAD samples from The Cancer Genome Atlas (TCGA). A total of 983 differentially expressed genes (DEGs) were identified among the different subtypes by using the limma package. A 6-gene signature (ITLN1, HOXD9, TSPAN11, GPRC5B, TIMP1, and CXCL13) was constructed via Lasso-Cox analysis. The signature showed strong robustness and could be used in the training, testing, and external validation (GSE17537) cohorts with stable predictive efficiency. Compared with other published signatures, our model showed better performance in predicting outcomes. Pan-cancer expression analysis results showed that ITLN1, TSPAN11, CXCL13, and GPRC5B were downregulated and TIMP1 was upregulated in most tumor samples, including COAD, which was consistent with the results of the TCGA and GEO cohorts. Western blot analysis and immunohistochemistry were performed to validate protein expression. Tumor immune infiltration analysis results showed that TSPAN11, GPRC5B, TIMP1, and CXCL13 protein levels were significantly positively correlated with CD4+ T cells, macrophages, neutrophils, and dendritic cells. Further, the TIMP1 and CXCL13 proteins were significantly related to the tumor immune infiltration of CD8+ T cells. We recommend using our signature as a molecular prognostic classifier to assess the prognostic risk of patients with COAD. |
format | Online Article Text |
id | pubmed-7881672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78816722021-02-17 Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma Liu, Jiahua Jiang, Chunhui Xu, Chunjie Wang, Dongyang Shen, Yuguang Liu, Ye Gu, Lei Cancer Cell Int Primary Research The overall survival of metastatic colon adenocarcinoma (COAD) remains poor, so it is important to explore the mechanisms of metastasis and invasion. This study aimed to identify invasion-related genetic markers for prognosis prediction in patients with COAD. Three molecular subtypes (C1, C2, and C3) were obtained based on 97 metastasis-related genes in 365 COAD samples from The Cancer Genome Atlas (TCGA). A total of 983 differentially expressed genes (DEGs) were identified among the different subtypes by using the limma package. A 6-gene signature (ITLN1, HOXD9, TSPAN11, GPRC5B, TIMP1, and CXCL13) was constructed via Lasso-Cox analysis. The signature showed strong robustness and could be used in the training, testing, and external validation (GSE17537) cohorts with stable predictive efficiency. Compared with other published signatures, our model showed better performance in predicting outcomes. Pan-cancer expression analysis results showed that ITLN1, TSPAN11, CXCL13, and GPRC5B were downregulated and TIMP1 was upregulated in most tumor samples, including COAD, which was consistent with the results of the TCGA and GEO cohorts. Western blot analysis and immunohistochemistry were performed to validate protein expression. Tumor immune infiltration analysis results showed that TSPAN11, GPRC5B, TIMP1, and CXCL13 protein levels were significantly positively correlated with CD4+ T cells, macrophages, neutrophils, and dendritic cells. Further, the TIMP1 and CXCL13 proteins were significantly related to the tumor immune infiltration of CD8+ T cells. We recommend using our signature as a molecular prognostic classifier to assess the prognostic risk of patients with COAD. BioMed Central 2021-02-12 /pmc/articles/PMC7881672/ /pubmed/33579281 http://dx.doi.org/10.1186/s12935-021-01795-1 Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Primary Research Liu, Jiahua Jiang, Chunhui Xu, Chunjie Wang, Dongyang Shen, Yuguang Liu, Ye Gu, Lei Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
title | Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
title_full | Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
title_fullStr | Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
title_full_unstemmed | Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
title_short | Identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
title_sort | identification and development of a novel invasion-related gene signature for prognosis prediction in colon adenocarcinoma |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881672/ https://www.ncbi.nlm.nih.gov/pubmed/33579281 http://dx.doi.org/10.1186/s12935-021-01795-1 |
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