Deciphering a Novel Necroptosis-Related miRNA Signature for Predicting the Prognosis of Clear Cell Renal Carcinoma

Autor: Jia-hao Bao, Jiang-bo Li, Han-sen Lin, Wen-jin Zhang, Bing-yan Guo, Jun-jie Li, Liang-min Fu, Yang-peng Sun
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Analytical Cellular Pathology, Vol 2022 (2022)
Druh dokumentu: article
ISSN: 2210-7185
DOI: 10.1155/2022/2721005
Popis: Clear cell renal cell carcinoma (ccRCC) is the most common histological and devastating subtype of renal cell carcinoma. Necroptosis is a form of programmed cell death that causes prominent inflammatory responses. miRNAs play a significant role in cancer progression through necroptosis. However, the prognostic value of necroptosis-related miRNAs remains ambiguous. In this study, 39 necroptosis-related miRNAs (NRMs) were extracted and 17 differentially expressed NRMs between normal and tumor samples were identified using data form The Cancer Genome Atlas (TCGA). After applying univariate Cox proportional hazard regression analysis and LASSO Cox regression model, six necroptosis-related miRNA signatures were identified in the training cohort and their expression levels were verified by qRT-PCR. Using the expression levels of these miRNAs, all patients were divided into the high- and low-risk groups. Patients in the high-risk group showed poor overall survival (P
Databáze: Directory of Open Access Journals
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