RNA-binding protein expression based machine learning model predicts metastasis and treatment outcome of testicular cancer.

Background: RNA-binding proteins (RBPs) are key regulators of cellular transcription and are associated with the occurrence and development of diseases.

Objective: This study aimed to validate the biological characteristics and clinical value of RBPs in testicular cancer, and then construct prediction models for testicular cancer metastasis and treatment outcome.

Methods: RNA sequencing data from 150 testicular tumors and 6 normal tissues were obtained from the cancer genome atlas (TCGA).