Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis
Objective As a unique histological subtype of colorectal cancer (CRC), mucinous adenocarcinoma (MC) has a poor prognosis and responds poorly to treatment. Genes and markers related to MC have not been reported. Methods To identify biomarkers involved in development of MC compared with other common a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-08-01
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| Series: | Journal of International Medical Research |
| Online Access: | https://doi.org/10.1177/0300060520949036 |
| _version_ | 1818918629898452992 |
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| author | Xue Zhang Jing Zuo Long Wang Jing Han Li Feng Yudong Wang Zhisong Fan |
| author_facet | Xue Zhang Jing Zuo Long Wang Jing Han Li Feng Yudong Wang Zhisong Fan |
| author_sort | Xue Zhang |
| collection | DOAJ |
| description | Objective As a unique histological subtype of colorectal cancer (CRC), mucinous adenocarcinoma (MC) has a poor prognosis and responds poorly to treatment. Genes and markers related to MC have not been reported. Methods To identify biomarkers involved in development of MC compared with other common adenocarcinoma (AC) subtypes, four datasets were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using GEO2R. A protein–protein interaction network was constructed. Functional annotation for DEGs was performed via DAVID, Metascape, and BiNGO. Significant modules and hub genes were identified using Cytoscape, and expression of hub genes and relationships between hub genes and MC were analyzed. Results The DEGs were mainly enriched in negative regulation of cell proliferation, bicarbonate transport, response to peptide hormone, cell–cell signaling, cell proliferation, and positive regulation of the canonical Wnt signaling pathway. The Venn diagram revealed eight significant hub genes: CXCL9 , IDO1 , MET , SNAI2 , and ZEB2 were highly expressed in MC compared with AC, whereas AREG , TWIST1 , and ZEB1 were expressed at a low level. AREG and MET might be significant biomarkers for MC. Conclusion The identified DEGs might help elucidate the pathogenesis of MC, identify potential targets, and improve treatment for CRC. |
| first_indexed | 2024-12-20T00:53:00Z |
| format | Article |
| id | doaj.art-01ff00e7ce9644e3a0f8ee7b059efdab |
| institution | Directory Open Access Journal |
| issn | 1473-2300 |
| language | English |
| last_indexed | 2024-12-20T00:53:00Z |
| publishDate | 2020-08-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of International Medical Research |
| spelling | doaj.art-01ff00e7ce9644e3a0f8ee7b059efdab2022-12-21T19:59:10ZengSAGE PublishingJournal of International Medical Research1473-23002020-08-014810.1177/0300060520949036Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysisXue ZhangJing ZuoLong WangJing HanLi FengYudong WangZhisong FanObjective As a unique histological subtype of colorectal cancer (CRC), mucinous adenocarcinoma (MC) has a poor prognosis and responds poorly to treatment. Genes and markers related to MC have not been reported. Methods To identify biomarkers involved in development of MC compared with other common adenocarcinoma (AC) subtypes, four datasets were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using GEO2R. A protein–protein interaction network was constructed. Functional annotation for DEGs was performed via DAVID, Metascape, and BiNGO. Significant modules and hub genes were identified using Cytoscape, and expression of hub genes and relationships between hub genes and MC were analyzed. Results The DEGs were mainly enriched in negative regulation of cell proliferation, bicarbonate transport, response to peptide hormone, cell–cell signaling, cell proliferation, and positive regulation of the canonical Wnt signaling pathway. The Venn diagram revealed eight significant hub genes: CXCL9 , IDO1 , MET , SNAI2 , and ZEB2 were highly expressed in MC compared with AC, whereas AREG , TWIST1 , and ZEB1 were expressed at a low level. AREG and MET might be significant biomarkers for MC. Conclusion The identified DEGs might help elucidate the pathogenesis of MC, identify potential targets, and improve treatment for CRC.https://doi.org/10.1177/0300060520949036 |
| spellingShingle | Xue Zhang Jing Zuo Long Wang Jing Han Li Feng Yudong Wang Zhisong Fan Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis Journal of International Medical Research |
| title | Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis |
| title_full | Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis |
| title_fullStr | Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis |
| title_full_unstemmed | Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis |
| title_short | Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis |
| title_sort | identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis |
| url | https://doi.org/10.1177/0300060520949036 |
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