MicroRNA related prognosis biomarkers from high throughput sequencing data of kidney renal clear cell carcinoma.

ABSTRACT:

Background

Kidney renal clear cell carcinoma (KIRC) is the most common type of kidney cell carcinoma which has the worst overall survival rate. Almost 30% of patients with localized cancers eventually develop to metastases despite of early surgical treatment carried out. MicroRNAs (miRNAs) play a critical role in human cancer initiation, progression, and prognosis. The aim of our study was to identify potential prognosis biomarkers to predict overall survival of KIRC.

Methods

All data were downloaded from an open access database The Cancer Genome Atlas. DESeq2 package in R was used to screening the differential expression miRNAs (DEMs) and genes (DEGs). RegParallel and Survival packages in R was used to analysis their relationships with the KIRC patients. David version 6.8 a

SUBMITTER: Huang M 

PROVIDER: S-EPMC7941961 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature