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Dataset Information

Development of a novel tumor microenvironment-related radiogenomics model for prognosis prediction in hepatocellular carcinoma.


ABSTRACT:

Background

The tumour microenvironment (TME) has occupied a potent position in the tumorigenesis and tumor progression of hepatocellular carcinoma (HCC). Radiogenomics is an emerging field that integrates imaging and genetic information, thus offering a novel class of non-invasive biomarkers with diagnostic, prognostic, and treatment response. However, optimal evaluation methodologies for radiogenomics in patients with HCC have not been well established. Therefore, this study aims to develop a radiogenomics models, associating contrast-enhanced computed tomography (CECT) based radiomics features and transcriptomics data with TME, to increase predictive precision for overall survival (OS) in patients with HCC.

Methods

Transcriptome profiles of 365 patients with HCC from The C

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10498241 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature