title: Four microRNAs Signature for Survival Prognosis in Colon Cancer using TCGA Data.
abstract: This study aims to develop microRNA expression signature for colon cancer survival prognosis based on the Cancer Genomic Common database. miRNAs levels between colon cancer and non-cancer tissues were screened by t-test (p < 0.05). Kaplan-Meier survival method was used to discriminate survival significant miRNAs, followed by miRNAs index accumulation to power the miRNAs-survival reliability. In the end, we test the selected miRNAs in HT126 colon cancer cells to validate its anti-cancer effect. The study identified a 84-miRNAs signature. Of the above 84 miRNAs, we got four miRNAs which were survival associated by using ROC curve method and Kaplan-Meier survival method (p < 0.001). The result showed that low risk group had quite a low death rate, the survival rate was over 80%. The high risk group had survival rate lower than 20%, which was also extremely lower than the overall survival rate. In the HT126 cells study, cell growth assay showed miR-130a sponge inhibited colon cancer cells growth and sensitized the anti-cancer drug effect of 5-FU to blocked cancer cell growth. We developed a prognostic 4-microRNA expression signature for colon cancer patient survival, and validated miR-130a sponge could sensitized 5-FU anti-cancer effect.
authors.affiliation: Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, People's Republic of China.
authors.forename: Jian
authors.initials: J
authors.lastname: Xu
authors.affiliation: Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, People's Republic of China.
authors.forename: Jian
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, People's Republic of China.
authors.forename: Rui
authors.initials: R
authors.lastname: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism*; D016022:Case-Control Studies; D045744:Cell Line, Tumor; D003110:Colonic Neoplasms / Q000235:genetics / Q000378:metabolism* / Q000401:mortality; D005260:Female; D015870:Gene Expression; D063990:Gene Ontology; D006801:Humans; D053208:Kaplan-Meier Estimate; D008297:Male; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism*; D008875:Middle Aged; D058977:Molecular Sequence Annotation; D011379:Prognosis; D012372:ROC Curve; D012307:Risk Factors; D059467:Transcriptome; D055815:Young Adult
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs