Immune Profiling among Colorectal Cancer Subtypes using Dependent Mixture Models.

ABSTRACT: Comparison of transcriptomic data across different conditions is of interest in many biomedical studies. In this paper, we consider comparative immune cell profiling for early-onset (EO) versus late-onset (LO) colorectal cancer (CRC). EOCRC, diagnosed between ages 18-45, is a rising public health concern that needs to be urgently addressed. However, its etiology remains poorly understood. We work towards filling this gap by identifying homogeneous T cell sub-populations that show significantly distinct characteristics across the two tumor types, and identifying others that are shared between EOCRC and LOCRC. We develop dependent finite mixture models where immune subtypes enriched under a specific condition are characterized by terms in the mixture model with common atoms but distinct weig

SUBMITTER: Duan Y 

PROVIDER: S-EPMC12356147 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature