Recurrence risk stratification of hepatocellular carcinomas based on immune gene expression and features extracted from pathological images.

ABSTRACT:

Background

Immune-based therapy is a promising type of treatment for hepatocellular carcinoma (HCC) but has only been partially successful due to the high heterogeneity in HCC tumor. The differences in the degree of tumor cell progression and in the activity of tumor immune microenvironment could lead to varied clinical outcome. Accurate subgrouping for recurrence risk is an approach to address the issue of such heterogeneity. It remains under investigation as whether integrating quantitative whole slide image (WSI) features with the expression profile of immune marker genes can improve the risk stratification, and whether clinical outcome prediction can assist in understanding molecular biology that drives the outcome.

Methods

We included a total of 231 patients from the Ca

SUBMITTER: Ding T 

PROVIDER: S-EPMC10783785 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature