Tumor-antigens and immune landscapes identification for prostate adenocarcinoma mRNA vaccine.
Xiaonan ZhengHang XuXianyanling YiTianyi ZhangQiang WeiHong LiJianzhong AiPublished in: Molecular cancer (2021)
Prostate adenocarcinoma (PRAD) is a leading cause of death among men. Messenger ribonucleic acid (mRNA) vaccine presents an attractive approach to achieve satisfactory outcomes; however, tumor antigen screening and vaccination candidates show a bottleneck in this field. We aimed to investigate the tumor antigens for mRNA vaccine development and immune subtypes for choosing appropriate patients for vaccination. We identified eight overexpressed and mutated tumor antigens with poor prognostic value of PRAD, including KLHL17, CPT1B, IQGAP3, LIME1, YJEFN3, KIAA1529, MSH5 and CELSR3. The correlation of those genes with antigen-presenting immune cells were assessed. We further identified three immune subtypes of PRAD (PRAD immune subtype [PIS] 1-3) with distinct clinical, molecular, and cellular characteristics. PIS1 showed better survival and immune cell infiltration, nevertheless, PIS2 and PIS3 showed cold tumor features with poorer prognosis and higher tumor genomic instability. Moreover, these immune subtypes presented distinguished association with immune checkpoints, immunogenic cell death modulators, and prognostic factors of PRAD. Furthermore, immune landscape characterization unraveled the immune heterogeneity among patients with PRAD. To summarize, our study suggests KLHL17, CPT1B, IQGAP3, LIME1, YJEFN3, KIAA1529, MSH5 and CELSR3 are potential antigens for PRAD mRNA vaccine development, and patients in the PIS2 and PIS3 groups are more suitable for vaccination.
Keyphrases
- prognostic factors
- end stage renal disease
- cell death
- prostate cancer
- chronic kidney disease
- ejection fraction
- squamous cell carcinoma
- dendritic cells
- type diabetes
- radiation therapy
- single cell
- gene expression
- peritoneal dialysis
- transcription factor
- signaling pathway
- benign prostatic hyperplasia
- bioinformatics analysis