A transcriptomic intratumour heterogeneity-free signature overcomes sampling bias in prognostic risk classification for hepatocellular carcinoma

A transcriptomic intratumour heterogeneity-free signature overcomes sampling bias in prognostic risk classification for hepatocellular carcinoma

Background & Aims: Intratumour heterogeneity (ITH) fosters the vulnerability of RNA expression-based biomarkers derived from a single biopsy to tumour sampling bias, and is regarded as an unaddressed confounding factor for patient precision stratification using molecular biomarkers. This stu...

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Bibliographic Details
Main Authors: Shangyi Luo, Ying Jia, Yajing Zhang, Xue Zhang
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:JHEP Reports
Subjects:
Hepatocellular carcinoma
Sampling bias
Discordant risk classification
Intratumour heterogeneity-free
Prognostic prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S258955592300085X

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http://www.sciencedirect.com/science/article/pii/S258955592300085X

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