Prognostic Risk Model of Colorectal Cancer Constructed by Bioinformatics Method and Functional Study of The Gene CLCA1 & SPINK4

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dc.contributor.authorLi, Shiyingen_US
dc.contributor.authorLiu, Haoweien_US
dc.contributor.authorZhao, Yongmingen_US
dc.contributor.authorZeng, Yingxingen_US
dc.contributor.authorXu, Junen_US
dc.date.accessioned2020-11-18T10:29:12Z
dc.date.available2020-11-18T10:29:12Z
dc.date.issued2020-06
dc.description.abstractBackground Colorectal cancer (CRC) is the most common malignant tumor of digestive system. The metastasesis the main cause of mortality in CRC patients, of whom the initial diagnosis is about 25%. In our study, weaimed to identify potential gene biomarkers based on RNA sequencing data to predict and improve CRCpatient survival.Method In this study, by screening differentially expressed genes of colon cancer related to liver metastasis, asurvival prognostic risk model was constructed by bioinformatics analysis. Here, we conducted our data mininganalysis for CRC by integrating the differentially expressed genes acquired from Gene Expression Omnibus(GEO) database by primary tumor versus liver metastasis (GSE81582，GSE41258，GSE49355，GSE68468)into The Cancer Genome Atlas (TCGA) database which includes 415 primary tumor and 132 liver metastasistissue. At the same time, we used transwell, RT-PCR and western to examine the effects of CLCA1 and SPINK4on the migration of colorectal cancer cells at the cell level.Results We identified intersections of 197 genes (117 up-regulated and 80 down-regulated) between GEO dataand TCGA data. Differentially expressed genes in TCGA-COAD by single factor cox analysis, lasso cycle trainingand multifactor cox analysis composed a survival prognosis prediction model consisted of 7 genes ORM1,CLCA1, C8B, SPINK4, ALDOB, GAMT, C8G. And results of transwell experiments showed that high expression ofCLCA1 and SPINK4 can inhibit the migration ability of colon cancer cells LOVO and SW620, meanwhile westernblotting showed that the high expression of both genes can upregulate the expression of epithelial phenotypicmarker E-cadherin, and Vimentin expression is down-regulated.Conclusion In this study, 197 differentially expressed genes were selected and a relatively robust survivalprognosis prediction model was constructed. The model consisted of seven genes: GAMT, C8G, ORM1, CLCA1,C8B, SPINK4, and ALDOB. At the same time, we found that CLCA1 and SPINK4 are closely related to survivalprognosis. The predictive model nomogram will enable patients with CRC to be more accurately managed intrials testing new drugs and in clinical practice.en_US
dc.identifier.affiliationsCollege of Pharmacy, Jinan University, Guangzhou, Chinaen_US
dc.identifier.citationLi Shiying, Liu Haowei, Zhao Yongming, Zeng Yingxing, Xu Jun. Prognostic Risk Model of Colorectal Cancer Constructed by Bioinformatics Method and Functional Study of The Gene CLCA1 & SPINK4. Journal of Pharmaceutical and Biomedical Sciences. 2020 Jun; 10(6): 129-139en_US
dc.identifier.issn2230-7885
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/215724
dc.languageenen_US
dc.publisherLawarence Press Pvt. Ltd.en_US
dc.relation.issuenumber6en_US
dc.relation.volume10en_US
dc.source.urihttps://lawarencepress.com/ojs/index.php/JPBMS/article/view/616/pdf_300en_US
dc.subjectColon canceren_US
dc.subjectprognostic risk modelen_US
dc.subjectbioinformatics.en_US
dc.titlePrognostic Risk Model of Colorectal Cancer Constructed by Bioinformatics Method and Functional Study of The Gene CLCA1 & SPINK4en_US
dc.typeJournal Articleen_US
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