Article
Machine Learning and Mendelian Randomization Reveal a Tumor Immune Cell Profile for Predicting Bladder Cancer Risk and Immunotherapy Outcomes.
The American journal of pathology - 1 Jun 2025
Teng Fei, Zhang Renjie, Wang Yunyi, Li Qian, Wang Bei, Chen Huijing, Liu Tongtong, Liu Zehua, Meng Jia, Wang Ce, Dong Shilei, Li Yanhong
Abstract excerpt
This study's objective was to develop predictive models for bladder cancer (BLCA) using tumor infiltrated immune cell (TIIC)-related genes. Multiple RNA expression data and scRNA-seq were downloaded from the TCGA and GEO databases. A tissue specificity index was calculated and a computational framework developed to identify TIIC signature scores based on three algorithms. Univariate Cox analysis was performed,...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.