Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma.

Journal: BMC cancer

PMID: 40349011

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is the most prevalent type of liver cancer and a leading cause of cancer-related deaths globally. The tumour microenvironment (TME) influences treatment response and prognosis, yet its heterogeneity remains unclear.

Authors

Mae Montserrat Reierson

Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, B15 2TT, UK.
Animesh Acharjee

College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.

Keywords

Biomarkers, Tumor Carcinoma, Hepatocellular Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Liver Neoplasms Prognosis Tumor Microenvironment Unsupervised Machine Learning

External Resources

View on PubMed Access via DOI PubMed (40349011)

Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma.

Abstract

Authors

Keywords

External Resources

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