#0141
Single-cell and transcriptomic data integrated mendelian randomization study reveals the potential value of prognostic genes associated with mitochondria and programmed cell death in prostate cancer
Y. Huang1, C. Gong1, M. Ding1
1The Second Affiliated Hospital of Kunming Medical University, Department of Urology, Kunming, China
Introduction:
Aberrant mitochondrial function and programmed cell death (PCD) were closely linked to the development of prostate cancer (PCa). In this study, prognostic genes related to mitochondria and PCD in PCa were explored through transcriptomic data, single-cell data, and Mendelian randomization (MR) analyses.
Material and methods:
In this study, transcriptomic datasets, single-cell datasets, and genome-wide association study (GWAS) datasets were included from public databases. Firstly, genes co-expressed with mitochondria and PCD in PCa were selected based on the transcriptomic data. Subsequently, genes significantly causally linked to PCa were identified through MR analysis for further investigation. Prognostic genes were then selected using univariate Cox analysis and 10 algorithms, and a risk model was constructed to evaluate the prognostic performance of these genes. Subsequently, nomogram, mutation analysis, functional analysis, immune analysis, clinical feature correlation analysis, and drug sensitivity analysis were carried out. Prognostic gene functional analysis was subsequently conducted at the single-cell level. In addition, reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) was applied to verify the expression level of prognostic gene.