Functional Genomic Complexity Defines Intratumor Heterogeneity and Tumor Aggressiveness in Liver Cancer.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 11 2019
Historique:
received: 08 04 2019
accepted: 17 10 2019
entrez: 16 11 2019
pubmed: 16 11 2019
medline: 11 11 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31729408
doi: 10.1038/s41598-019-52578-8
pii: 10.1038/s41598-019-52578-8
pmc: PMC6858353
doi:

Substances chimiques

Tumor Suppressor Protein p53 0

Types de publication

Journal Article Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

16930

Subventions

Organisme : Intramural NIH HHS
ID : Z01 BC010313
Pays : United States
Organisme : Intramural NIH HHS
ID : Z01 BC010876
Pays : United States
Organisme : Intramural NIH HHS
ID : Z01 BC010877
Pays : United States

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Auteurs

So Mee Kwon (SM)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.
Department of Physiology, Ajou University School of Medicine, Suwon, 16499, Republic of Korea.

Anuradha Budhu (A)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.

Hyun Goo Woo (HG)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.
Department of Biomedical Science, Graduate School, Ajou University, Suwon, 16499, Republic of Korea.

Jittiporn Chaisaingmongkol (J)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.
Laboratory of Chemical Carcinogenesis, Chulabhorn Research Institute, Bangkok, 10210, Thailand.
Center of Excellence on Environmental Health and Toxicology, Office of the Higher Education Commission, Ministry of Education, Bangkok, 10400, Thailand.

Hien Dang (H)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.

Marshonna Forgues (M)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.

Curtis C Harris (CC)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA.

Gao Zhang (G)

Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, PA, 19104, USA.

Noam Auslander (N)

Cancer Data Science Lab, National Cancer Institute, National Institute of health, MD, 20892, USA.

Eytan Ruppin (E)

Cancer Data Science Lab, National Cancer Institute, National Institute of health, MD, 20892, USA.

Chulabhorn Mahidol (C)

Laboratory of Chemical Carcinogenesis, Chulabhorn Research Institute, Bangkok, 10210, Thailand.

Mathuros Ruchirawat (M)

Laboratory of Chemical Carcinogenesis, Chulabhorn Research Institute, Bangkok, 10210, Thailand.
Center of Excellence on Environmental Health and Toxicology, Office of the Higher Education Commission, Ministry of Education, Bangkok, 10400, Thailand.

Xin Wei Wang (XW)

Laboratory of Human Carcinogenesis and Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, 20892, USA. xw3u@nih.gov.

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Classifications MeSH