文献类型：期刊文献

英文题名：Identification of miRNAs as prognostic factors for esophageal squamous cell carcinoma

作者：Chen, Meng[1,2];Jin, Dacheng[1,2];Wang, Bing[1,2];Gou, Yunjiu[2];Dong, Xinchun[2]

第一作者：Chen, Meng

通信作者：Gou, YJ[1];Dong, XC[1]

机构：[1]Gansu Univ Chinese Med, Lanzhou 730000, Peoples R China;[2]Gansu Prov Hosp, Dept Thorac Surg, 204 Donggang West Rd, Lanzhou 730000, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Prov Hosp, Dept Thorac Surg, 204 Donggang West Rd, Lanzhou 730000, Peoples R China.

年份：2020

卷号：17

期号：3

起止页码：2302

外文期刊名：MATHEMATICAL BIOSCIENCES AND ENGINEERING

收录：;EI(收录号：20201608418484);Scopus(收录号：2-s2.0-85082792130);WOS:【SCI-EXPANDED(收录号:WOS:000519873900022)】；

基金：This work was supported by Hospital Research Foundation of Gansu Provincial people's Hospital (No.l6gssy3-1); Gansu Provincial Health Industry Plan (No.gswsky2017-56). Yunjiu Gou and Xinchun Dong designed the study. Meng Chen was responsible for the collection and analysis of the data. All authors drafted the manuscript and approved the final version of the manuscript.

语种：英文

外文关键词：esophageal squamous cell carcinoma; microRNAs; prognosis; genes; tumor

摘要：Objective: The prognostic value of microRNAs for esophageal squamous cell carcinoma (ESCC) is still not be well identified. Methods: The microRNA expression profiles of 119 paired ESCC tissue samples and para-carcinoma tissues from GEO database under accession number of GSE43732. A mutation information based feature selection method was applied to identify the discriminative microRNAs between paired ESCC tissues and para-carcinoma tissues. Results: In para-carcinoma tissues, patients had better survival with higher has-miR-410 (log-rank p = 0.0123), has-miR-411-5p (log-rank p = 0.0152), has-miR-193b-5p (log-rank p = 0.0188) and has-miR-4486 (log-rank p = 0.0307) expression levels. When compared with para-carcinoma tissues, there has more correlations between miRNA expression levels and survival in tumor tissues. We identified 20 potential miRNAs associated with prognosis. Besides, a heatmap was draw to explore miRNA expression levels in tumor tissues and survival. Conclusions: The present study identified 24 miRNAs in 119 paired ESCC tissue samples and para-carcinoma tissues, including 4 miRNAs in para-carcinoma tissues and 20 in tumor tissues, respectively. The dysregulation of these miRNAs were associated with different outcomes. We thought this study could provide novel noninvasive early biomarkers for ESCC patients.