Gene-wise intratumor heterogeneity (ITH), defined as spatial variability in the expression of individual genes across tumor regions, remains incompletely characterized in non-small cell lung cancer (NSCLC). Identifying low-ITH genes as predictive biomarkers offers a promising strategy to enhance the reliability of immunotherapy outcome prediction. We profiled gene-wise ITH using multi-region scRNA-seq data and a computational framework combining variance and clustering metrics. Prognostic low-IT
Single-cell and multi-omics integration delineates the landscape of gene-wise intratumor heterogeneity and identifies prognostic biomarkers for immunotherapy in non-small cell lung cancer
Jianye Yuan·Zihui Tan·Zhenguo Li·Rui Chen·Chao Cheng·Weixiong Yang·Xiuying Xie·Chang Luo·Tao Wang·Shuishen Zhang·Zelin Weng
