A new survival model based on ferroptosis-related genes for prognostic prediction in clear cell renal cell carcinoma.

Aging
Guangzhen WuLiang Cheng

Abstract

In this study, we analyzed the clinical significance of ferroptosis-related genes (FRGs) in 32 cancer types in the GSCA database. We detected a 2-82% mutation rate among 36 FRGs. In clear cell renal cell carcinoma (ccRCC; n=539) tissues from the The Cancer Genome Atlas database, 30 of 36 FRGs were differentially expressed (up- or down-regulated) compared to normal kidney tissues (n=72). Consensus clustering analysis identified two clusters of FRGs based on similar co-expression in ccRCC tissues. We then used LASSO regression analysis to build a new survival model based on five risk-related FRGs (CARS, NCOA4, FANCD2, HMGCR, and SLC7A11). Receiver operating characteristic curve analysis confirmed good prognostic performance of the new survival model with an area under the curve of 0.73. High FANCD2, CARS, and SLC7A11 expression and low HMGCR and NCOA4 expression were associated with high-risk ccRCC patients. Multivariate analysis showed that risk score, age, stage, and grade were independent risk factors associated with prognosis in ccRCC. These findings demonstrate that this five risk-related FRG-based survival model accurately predicts prognosis in ccRCC patients, and suggest FRGs are potential prognostic biomarkers and therape...Continue Reading

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Citations

Mar 23, 2021·Frontiers in Cell and Developmental Biology·Xi-Min HuKun Xiong
Jul 2, 2021·Investigational New Drugs·Chen-Jie QiuWen-Tao Gao

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Methods Mentioned

BETA
RNA-seq
PCA

Software Mentioned

Limma package
Genomic Commons (
TCGAbiolinks
commonclusterplus
GEPIA
survminer
Limma
Glmnet
Survival
Bioconductor

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