Construction of regulatory T cells specific genes predictive models of prostate cancer patients based on machine learning: a computational analysis and in vitro experiments
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View abstract on PubMed
Summary
This summary is machine-generated.Regulatory T cell specific genes (RTSGs) are crucial in prostate cancer (PRAD) progression. This study identified four key RTSGs, developing a prognostic model that impacts PRAD diagnosis and treatment strategies.
Area Of Science
- Oncology
- Immunology
- Genetics
Background
- Prostate cancer (PRAD) is influenced by multiple factors.
- Regulatory T cell specific genes (RTSGs) are implicated in various cancers.
- The specific role of RTSGs in PRAD remains underexplored.
Purpose Of The Study
- To identify RTSGs associated with PRAD prognosis.
- To develop and validate a prognostic model for PRAD.
- To investigate the functional role of SYCP2 in PRAD progression.
Main Methods
- Cox regression and LASSO analyses were used to identify prognostic RTSGs.
- A prognostic model was built using four identified RTSGs.
- Cell experiments were conducted to confirm the function of SYCP2 in PRAD cells.
Main Results
- Four RTSGs with significant prognostic value in PRAD were identified.
- A validated prognostic model based on these RTSGs demonstrated independent risk factor status and correlation with clinical features.
- The prognostic signature was linked to the PRAD immune microenvironment, with SYCP2 regulating apoptosis and cell cycle.
Conclusions
- This study provides novel insights into the prognostic value of RTSGs in PRAD.
- The developed prognostic model and identified genes offer a theoretical basis for improved PRAD diagnosis and treatment.
- SYCP2 emerges as a potential key regulator in PRAD progression.
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