Identification of potential crucial genes associated with the pathogenesis and prognosis of prostate cancer.
Aim: Prostate cancer (PCa) is the sixth leading cause of cancer-related deaths in men throughout the world. This study aimed to investigate genes associated with the pathogenesis and prognosis of PCa. Materials & methods: Data of PCa cases were obtained from public datasets and were analyzed using an integrated bioinformatics strategy. Results: A total of 969 differential expression genes were identified. Moreover, GSE16560 and The Cancer Genome Atlas (TCGA) data showed a prognostic prompt function of the nine-gene signature, as well as in PCa with Gleason 7. Finally, majority of the nine hub genes were associated with drug sensitivity, mutational landscape, immune infiltrates and clinical characteristics of PCa. Conclusion: The nine-gene signature was correlated with drug sensitivity, mutational landscape, immune infiltrates, clinical characteristics and survival from PCa.
['Mu|Hai-Qi|HQ|', 'Liang|Zhi-Qiang|ZQ|', 'Xie|Qi-Peng|QP|', 'Han|Wei|W|', 'Yang|Sen|S|', 'Wang|Shuai-Bin|SB|', 'Zhao|Cheng|C|', 'Cao|Ye-Min|YM|', 'He|You-Hua|YH|', 'Chen|Jian|J|0000-0001-5230-7141']
D020869:Gene Expression Profiling D023281:Genomics D006801:Humans D008297:Male D009367:Neoplasm Staging D011379:Prognosis D011471:Prostatic Neoplasms
prognosis prostate cancer immune infiltrates gene signature protein–protein interaction