Identification of critical pathways and hub genes in TP53 mutation prostate cancer by bioinformatics analysis.
Aim: The TP53 mutant is one of the most common mutant genes in prostate cancer. Materials methods: The RNA seq data of prostate cancer was downloaded from TCGA database. Gene set and enrichment analyses were done by online tools. Results: TP53 mutation was found in 18% prostate cancer patients. Enrichment analysis indicated that differentially expressed genes were enriched in G protein coupled receptor signaling pathways, cell growth and metabolism. The top ten hub genes were identified. Further analysis showed increased risk of recurrence, lower TP53 mRNA level and higher Gleason scores in patients with TP53 mutation. Conclusion: Our results suggest that multiple genes and pathways may play key roles in TP53 mutant prostate cancer, providing candidate targets and strategies for individualized treatment.
Biomarkers in medicine