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Dataset Information

From clinical variables to multiomics analysis: a margin morphology-based gross classification system for hepatocellular carcinoma stratification.


ABSTRACT:

Objective

Selecting interventions for patients with solitary hepatocellular carcinoma (HCC) remains a challenge. Despite gross classification being proposed as a potential prognostic predictor, its widespread use has been restricted due to inadequate studies with sufficient patient numbers and the lack of established mechanisms. We sought to investigate the prognostic impacts on patients with HCC of different gross subtypes and assess their corresponding molecular landscapes.

Design

A prospective cohort of 400 patients who underwent hepatic resection for solitary HCC was reviewed and analysed and gross classification was assessed. Multiomics analyses were performed on tumours and non-tumour tissues from 49 patients to investigate the mechanisms underlying gross classificatio

SUBMITTER: Fan Z 

PROVIDER: S-EPMC10579519 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature