Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer.

ABSTRACT:

Background

Numerous studies have used multi-region sampling approaches to characterize intra-tumor heterogeneity (ITH) in hepatocellular carcinoma (HCC). However, conventional multi-region sampling strategies do not preserve the spatial details of samples, and thus, the potential influences of spatial distribution on patient-wise ITH (represents the overall heterogeneity level of the tumor in a given patient) have long been overlooked. Furthermore, gene-wise transcriptional ITH (represents the expression pattern of genes across different intra-tumor regions) in HCC is also under-explored, highlighting the need for a comprehensive investigation.

Methods

To address the problem of spatial information loss, we propose a simple and easy-to-implement strategy called spatial locali

SUBMITTER: Yang C 

PROVIDER: S-EPMC9758830 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature