ArticleScientific reports2019
Functional Genomic Complexity Defines Intratumor Heterogeneity and Tumor Aggressiveness in Liver Cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- The landscape of etiological patterns of hepatocellular carcinoma and intrahepatic cholangiocarcinoma in Thailand.International journal of cancer · 2024Article
- Article
- Dissecting the tumor ecosystem of liver cancers in the single-cell era.Hepatology communications · 2023Review
- Preclinical and clinical studies of immunotherapy for the treatment of cholangiocarcinoma.JHEP reports : innovation in hepatology · 2023Review
- Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines.iScience · 2022Article
- Single-cell atlas of tumor cell evolution in response to therapy in hepatocellular carcinoma and intrahepatic cholangiocarcinoma.Journal of hepatology · 2021Article
- Review
- Precision Oncology Beyond Genomics: The Future Is Here-It Is Just Not Evenly Distributed.Cells · 2021Review
- Observational
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Authors and funding
13 authors at 3 institutions in 3 countries.
Funding
Abstract
Chronic inflammation and chromosome aneuploidy are major traits of primary liver cancer (PLC), which represent the second most common cause of cancer-related death worldwide. Increased cancer fitness and aggressiveness of PLC may be achieved by enhancing tumoral genomic complexity that alters tumor biology. Here, we developed a scoring method, namely functional genomic complexity (FGC), to determine the degree of molecular heterogeneity among 580 liver tumors with diverse ethnicities and etiologies by assessing integrated genomic and transcriptomic data. We found that tumors with higher FGC scores are associated with chromosome instability and TP53 mutations, and a worse prognosis, while tumors with lower FGC scores have elevated infiltrating lymphocytes and a better prognosis. These results indicate that FGC scores may serve as a surrogate to define genomic heterogeneity of PLC linked to chromosomal instability and evasion of immune surveillance. Our findings demonstrate an ability to define genomic heterogeneity and corresponding tumor biology of liver cancer based only on bulk genomic and transcriptomic data. Our data also provide a rationale for applying this approach to survey liver tumor immunity and to stratify patients for immune-based therapy.
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