Extrachromosomal circular DNAs in prostate adenocarcinoma: global characterizations and a novel prediction model
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Summary
This summary is machine-generated.Extrachromosomal circular DNA (eccDNA) amplifications in prostate adenocarcinoma (PRAD) were characterized. ZNF330 and PITPNM3 were identified as key genes, forming a risk model predicting prognosis and immunotherapy response in PRAD patients.
Area Of Science
- Genomics
- Cancer Biology
- Immunology
Background
- The role of extrachromosomal circular DNA (eccDNA) and focal amplifications in prostate adenocarcinoma (PRAD) remains unclear.
- This study aimed to characterize eccDNA and eccDNA-amplified key differentially expressed encoded genes (eKDEGs) in PRAD progression, immune response, and immunotherapy.
Purpose Of The Study
- To investigate the global characterization of eccDNA in PRAD.
- To identify and characterize eccDNA-amplified key differentially expressed encoded genes (eKDEGs) associated with PRAD prognosis, immune response, and immunotherapy.
- To develop a prognostic and predictive model for PRAD based on eKDEGs.
Main Methods
- Circular sequencing (Circular_seq) and TCGA-PRAD transcriptome data were used to identify eccDNA-amplified differentially expressed coding genes (eDEGs).
- Cox and Lasso regression analyses were employed to build risk models and identify PRAD prognostic eKDEGs.
- Immunological algorithms were used to quantify the immune microenvironment and assess immunotherapy response.
Main Results
- No significant differences in eccDNA size, type, or chromosomal distribution were found between PRAD and normal tissues.
- 4,290 differentially expressed eccDNAs and 1,981 amplified coding genes were identified, with 499 eDEGs analyzed.
- ZNF330 and PITPNM3 were identified as PRAD eKDEGs, forming a validated two-factor risk model associated with poor prognosis, altered immune infiltration, and reduced response to anti-CTLA-4/anti-PD-1 therapy.
Conclusions
- ZNF330 and PITPNM3 serve as potential prognostic markers for PRAD.
- The developed risk model accurately assesses PRAD patient survival, prognosis, and immunotherapy response.
- This research offers novel insights for PRAD immunotherapy strategies.

