| Literature DB >> 32312483 |
Li Huang1, Xu-Zhi Liang2, Yun Deng2, Yong-Biao Liang1, Xu Zhu1, Xiu-Yun Liang1, Dian-Zhong Luo2, Gang Chen2, Ye-Ying Fang3, Hui-Hua Lan4, Jiang-Hui Zeng5.
Abstract
Although the molecular studies of single gastrointestinal tumors have been widely reported by media, it is not clear about the function of small nucleolar RNA (snoRNA) in the progression, development and prognostic significance in colon adenocarcinoma, and its certain molecular mechanisms and functions remain to be studied. This study aims to dig out the gene expression data profile of colon adenocarcinoma and construct the prognostic molecular pathology prediction-evaluation, ultimately revealing the clinical prognostic value of snoRNA in colon adenocarcinoma. 932 differentially expressed snoRNAs of the colon adenocarcinoma were obtained by edgeR R package. Only 4 prognostically-significant snoRNAs (SNORD14E, SNORD67, SNORD12C, and SNORD17) (P < 0.05) were discovered after univariate COX regression mode analysis. Moreover, through multivariate COX regression mode analysis, 2 prognostically-significant snoRNAs (SNORD14E and SNORD67) (P < 0.05) were obtained. Using the above 473 COAD samples, a prognostic model of risk score was constructed. The inflection point of the prognostic risk score acted as a boundary to divide the patients into high-risk and low-risk groups. The K-M survival curve of the prognostic model of risk score revealed that high risk group has a lower survival rate (P < 0.05). The research has successfully provided valuable prognostic factors and prognostic models for patients with malignant colon tumor.Entities:
Keywords: colon adenocarcinoma; prognostic model; risk score; snoRNA
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Year: 2020 PMID: 32312483 DOI: 10.1016/j.prp.2020.152937
Source DB: PubMed Journal: Pathol Res Pract ISSN: 0344-0338 Impact factor: 3.250