Systems biology approaches to decoding the genome of liver cancer

Ju Seog Lee, Ji Hoon Kim, Yun Yong Park, Gordon Mills

Research output: Contribution to journalReview article

6 Citations (Scopus)

Abstract

Molecular classification of cancers has been significantly improved patient outcomes through the implementation of treatment protocols tailored to the abnormalities present in each patient's cancer cells. Breast cancer represents the poster child with marked improvements in outcome occurring due to the implementation of targeted therapies for estrogen receptor or human epidermal growth factor receptor-2 positive breast cancers. Important subtypes with characteristic molecular features as potential therapeutic targets are likely to exist for all tumor lineages including hepatocellular carcinoma (HCC) but have yet to be discovered and validated as targets. Because each tumor accumulates hundreds or thousands of genomic and epigenetic alterations of critical genes, it is challenging to identify and validate candidate tumor aberrations as therapeutic targets or biomarkers that predict prognosis or response to therapy. Therefore, there is an urgent need to devise new experimental and analytical strategies to overcome this problem. Systems biology approaches integrating multiple data sets and technologies analyzing patient tissues holds great promise for the identification of novel therapeutic targets and linked predictive biomarkers allowing implementation of personalized medicine for HCC patients.

Original languageEnglish (US)
Pages (from-to)205-211
Number of pages7
JournalCancer Research and Treatment
Volume43
Issue number4
DOIs
StatePublished - Dec 1 2011
Externally publishedYes

Fingerprint

Systems Biology
Liver Neoplasms
Genome
Neoplasms
Hepatocellular Carcinoma
Biomarkers
Breast Neoplasms
Therapeutics
Posters
Precision Medicine
Clinical Protocols
Epigenomics
Estrogen Receptors
Technology
Genes

Keywords

  • Gene expression profiling
  • Genomics
  • Hepatocellular carcinoma
  • Oligonucleotide array sequence analysis
  • Proteomics
  • Systems biology

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Systems biology approaches to decoding the genome of liver cancer. / Lee, Ju Seog; Kim, Ji Hoon; Park, Yun Yong; Mills, Gordon.

In: Cancer Research and Treatment, Vol. 43, No. 4, 01.12.2011, p. 205-211.

Research output: Contribution to journalReview article

Lee, Ju Seog ; Kim, Ji Hoon ; Park, Yun Yong ; Mills, Gordon. / Systems biology approaches to decoding the genome of liver cancer. In: Cancer Research and Treatment. 2011 ; Vol. 43, No. 4. pp. 205-211.
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