Crafting a Personalized Prognostic Model for Malignant Prostate Cancer Patients Using Risk Gene Signatures Discovered through TCGA-PRAD Mining, Machine Learning, and Single-Cell RNA-Sequencing.

Feng Lyu,Xianshu Gao,Mingwei Ma,Mu Xie,Shiyu Shang,Xueying Ren,Mingzhu Liu,Jiayan Chen

Diagnostics (Basel, Switzerland)（2023）

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摘要

We engineered an original and novel prognostic model based on five gene signatures through TCGA and machine learning, providing new insights into the risk of scarification and survival prediction for PCa patients in clinical practice.

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关键词

prostate cancer, prognostic model, immunotherapy, machine learning, single-cell RNA-sequencing

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