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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Autor*in:	Fang-Ze Wei [verfasserIn] Shi-Wen Mei [verfasserIn] Zhi-Jie Wang [verfasserIn] Jia-Nan Chen [verfasserIn] Hai-Yu Shen [verfasserIn] Fu-Qiang Zhao [verfasserIn] Juan Li [verfasserIn] Zheng Liu [verfasserIn] Qian Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	CRC diagnostic biomarker prognostic model database

Übergeordnetes Werk:	In: Frontiers in Oncology - Frontiers Media S.A., 2012, 10(2020)
Übergeordnetes Werk:	volume:10 ; year:2020

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fonc.2020.573295

Katalog-ID:	DOAJ058929959

Internformat


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520			\|a 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.
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allfields	10.3389/fonc.2020.573295 doi (DE-627)DOAJ058929959 (DE-599)DOAJ95198dd4a29248da959decd5936cf995 DE-627 ger DE-627 rakwb eng RC254-282 Fang-Ze Wei verfasserin aut Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. CRC diagnostic biomarker prognostic model database Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shi-Wen Mei verfasserin aut Zhi-Jie Wang verfasserin aut Jia-Nan Chen verfasserin aut Hai-Yu Shen verfasserin aut Fu-Qiang Zhao verfasserin aut Juan Li verfasserin aut Zheng Liu verfasserin aut Qian Liu verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 10(2020) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:10 year:2020 https://doi.org/10.3389/fonc.2020.573295 kostenfrei https://doaj.org/article/95198dd4a29248da959decd5936cf995 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020
spelling	10.3389/fonc.2020.573295 doi (DE-627)DOAJ058929959 (DE-599)DOAJ95198dd4a29248da959decd5936cf995 DE-627 ger DE-627 rakwb eng RC254-282 Fang-Ze Wei verfasserin aut Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. CRC diagnostic biomarker prognostic model database Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shi-Wen Mei verfasserin aut Zhi-Jie Wang verfasserin aut Jia-Nan Chen verfasserin aut Hai-Yu Shen verfasserin aut Fu-Qiang Zhao verfasserin aut Juan Li verfasserin aut Zheng Liu verfasserin aut Qian Liu verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 10(2020) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:10 year:2020 https://doi.org/10.3389/fonc.2020.573295 kostenfrei https://doaj.org/article/95198dd4a29248da959decd5936cf995 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020
allfields_unstemmed	10.3389/fonc.2020.573295 doi (DE-627)DOAJ058929959 (DE-599)DOAJ95198dd4a29248da959decd5936cf995 DE-627 ger DE-627 rakwb eng RC254-282 Fang-Ze Wei verfasserin aut Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. CRC diagnostic biomarker prognostic model database Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shi-Wen Mei verfasserin aut Zhi-Jie Wang verfasserin aut Jia-Nan Chen verfasserin aut Hai-Yu Shen verfasserin aut Fu-Qiang Zhao verfasserin aut Juan Li verfasserin aut Zheng Liu verfasserin aut Qian Liu verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 10(2020) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:10 year:2020 https://doi.org/10.3389/fonc.2020.573295 kostenfrei https://doaj.org/article/95198dd4a29248da959decd5936cf995 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020
allfieldsGer	10.3389/fonc.2020.573295 doi (DE-627)DOAJ058929959 (DE-599)DOAJ95198dd4a29248da959decd5936cf995 DE-627 ger DE-627 rakwb eng RC254-282 Fang-Ze Wei verfasserin aut Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. CRC diagnostic biomarker prognostic model database Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shi-Wen Mei verfasserin aut Zhi-Jie Wang verfasserin aut Jia-Nan Chen verfasserin aut Hai-Yu Shen verfasserin aut Fu-Qiang Zhao verfasserin aut Juan Li verfasserin aut Zheng Liu verfasserin aut Qian Liu verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 10(2020) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:10 year:2020 https://doi.org/10.3389/fonc.2020.573295 kostenfrei https://doaj.org/article/95198dd4a29248da959decd5936cf995 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020
allfieldsSound	10.3389/fonc.2020.573295 doi (DE-627)DOAJ058929959 (DE-599)DOAJ95198dd4a29248da959decd5936cf995 DE-627 ger DE-627 rakwb eng RC254-282 Fang-Ze Wei verfasserin aut Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. CRC diagnostic biomarker prognostic model database Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shi-Wen Mei verfasserin aut Zhi-Jie Wang verfasserin aut Jia-Nan Chen verfasserin aut Hai-Yu Shen verfasserin aut Fu-Qiang Zhao verfasserin aut Juan Li verfasserin aut Zheng Liu verfasserin aut Qian Liu verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 10(2020) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:10 year:2020 https://doi.org/10.3389/fonc.2020.573295 kostenfrei https://doaj.org/article/95198dd4a29248da959decd5936cf995 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020
language	English
source	In Frontiers in Oncology 10(2020) volume:10 year:2020
sourceStr	In Frontiers in Oncology 10(2020) volume:10 year:2020
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	CRC diagnostic biomarker prognostic model database Neoplasms. Tumors. Oncology. Including cancer and carcinogens
isfreeaccess_bool	true
container_title	Frontiers in Oncology
authorswithroles_txt_mv	Fang-Ze Wei @@aut@@ Shi-Wen Mei @@aut@@ Zhi-Jie Wang @@aut@@ Jia-Nan Chen @@aut@@ Hai-Yu Shen @@aut@@ Fu-Qiang Zhao @@aut@@ Juan Li @@aut@@ Zheng Liu @@aut@@ Qian Liu @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	684965518
id	DOAJ058929959
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callnumber-first	R - Medicine
author	Fang-Ze Wei
spellingShingle	Fang-Ze Wei misc RC254-282 misc CRC misc diagnostic misc biomarker misc prognostic model misc database misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer
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topic_title	RC254-282 Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer CRC diagnostic biomarker prognostic model database
topic	misc RC254-282 misc CRC misc diagnostic misc biomarker misc prognostic model misc database misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc CRC misc diagnostic misc biomarker misc prognostic model misc database misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer
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title_full	Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer
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author_browse	Fang-Ze Wei Shi-Wen Mei Zhi-Jie Wang Jia-Nan Chen Hai-Yu Shen Fu-Qiang Zhao Juan Li Zheng Liu Qian Liu
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title_sort	differential expression analysis revealing clca1 to be a prognostic and diagnostic biomarker for colorectal cancer
callnumber	RC254-282
title_auth	Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer
url	https://doi.org/10.3389/fonc.2020.573295 https://doaj.org/article/95198dd4a29248da959decd5936cf995 https://www.frontiersin.org/articles/10.3389/fonc.2020.573295/full https://doaj.org/toc/2234-943X
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author2	Shi-Wen Mei Zhi-Jie Wang Jia-Nan Chen Hai-Yu Shen Fu-Qiang Zhao Juan Li Zheng Liu Qian Liu
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up_date	2024-07-03T20:51:43.794Z
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Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer

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