Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer
Colorectal cancer (CRC) is a common malignant tumor of the digestive tract and lacks specific diagnostic markers. In this study, we utilized 10 public datasets from the NCBI Gene Expression Omnibus (NCBI-GEO) database to identify a set of significantly differentially expressed genes (DEGs) between t...
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doaj-95198dd4a29248da959decd5936cf9952020-12-18T14:28:19ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-10-011010.3389/fonc.2020.573295573295Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal CancerFang-Ze WeiShi-Wen MeiZhi-Jie WangJia-Nan ChenHai-Yu ShenFu-Qiang ZhaoJuan LiZheng LiuQian LiuColorectal cancer (CRC) is a common malignant tumor of the digestive tract and lacks specific diagnostic markers. In this study, we utilized 10 public datasets from the NCBI Gene Expression Omnibus (NCBI-GEO) database to identify a set of significantly differentially expressed genes (DEGs) between tumor and control samples and WGCNA (Weighted Gene Co-Expression Network Analysis) to construct gene co-expression networks incorporating the DEGs from The Cancer Genome Atlas (TCGA) and then identify genes shared between the GEO datasets and key modules. Then, these genes were screened via MCC to identify 20 hub genes. We utilized regression analyses to develop a prognostic model and utilized the random forest method to validate. All hub genes had good diagnostic value for CRC, but only CLCA1 was related to prognosis. Thus, we explored the potential biological value of CLCA1. The results of gene set enrichment analysis (GSEA) and immune infiltration analysis showed that CLCA1 was closely related to tumor metabolism and immune invasion of CRC. These analysis results revealed that CLCA1 may be a candidate diagnostic and prognostic biomarker for CRC.https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/fullCRCdiagnosticbiomarkerprognostic modeldatabase |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fang-Ze Wei Shi-Wen Mei Zhi-Jie Wang Jia-Nan Chen Hai-Yu Shen Fu-Qiang Zhao Juan Li Zheng Liu Qian Liu |
spellingShingle |
Fang-Ze Wei Shi-Wen Mei Zhi-Jie Wang Jia-Nan Chen Hai-Yu Shen Fu-Qiang Zhao Juan Li Zheng Liu Qian Liu Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer Frontiers in Oncology CRC diagnostic biomarker prognostic model database |
author_facet |
Fang-Ze Wei Shi-Wen Mei Zhi-Jie Wang Jia-Nan Chen Hai-Yu Shen Fu-Qiang Zhao Juan Li Zheng Liu Qian Liu |
author_sort |
Fang-Ze Wei |
title |
Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer |
title_short |
Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer |
title_full |
Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer |
title_fullStr |
Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer |
title_full_unstemmed |
Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer |
title_sort |
differential expression analysis revealing clca1 to be a prognostic and diagnostic biomarker for colorectal cancer |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2020-10-01 |
description |
Colorectal cancer (CRC) is a common malignant tumor of the digestive tract and lacks specific diagnostic markers. In this study, we utilized 10 public datasets from the NCBI Gene Expression Omnibus (NCBI-GEO) database to identify a set of significantly differentially expressed genes (DEGs) between tumor and control samples and WGCNA (Weighted Gene Co-Expression Network Analysis) to construct gene co-expression networks incorporating the DEGs from The Cancer Genome Atlas (TCGA) and then identify genes shared between the GEO datasets and key modules. Then, these genes were screened via MCC to identify 20 hub genes. We utilized regression analyses to develop a prognostic model and utilized the random forest method to validate. All hub genes had good diagnostic value for CRC, but only CLCA1 was related to prognosis. Thus, we explored the potential biological value of CLCA1. The results of gene set enrichment analysis (GSEA) and immune infiltration analysis showed that CLCA1 was closely related to tumor metabolism and immune invasion of CRC. These analysis results revealed that CLCA1 may be a candidate diagnostic and prognostic biomarker for CRC. |
topic |
CRC diagnostic biomarker prognostic model database |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full |
work_keys_str_mv |
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