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Review Article
Systems Biology Approaches to Decoding the Genome of Liver Cancer
Ju-Seog Lee, Ji Hoon Kim, Yun-Yong Park, Gordon B. Mills
Cancer Res Treat. 2011;43(4):205-211.   Published online December 27, 2011
DOI: https://doi.org/10.4143/crt.2011.43.4.205
AbstractAbstract PDFPubReaderePub
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.

Citations

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  • Systems Challenges of Hepatic Carcinomas: A Review
    Dhatri Madduru, Johny Ijaq, Sujata Dhar, Saumyadip Sarkar, Naresh Poondla, Partha S. Das, Silvia Vasquez, Prashanth Suravajhala
    Journal of Clinical and Experimental Hepatology.2019; 9(2): 233.     CrossRef
  • Epigenetic regulation of hepatocellular carcinoma in non-alcoholic fatty liver disease
    Yuan Tian, Vincent Wai-Sun Wong, Henry Lik-Yuen Chan, Alfred Sze-Lok Cheng
    Seminars in Cancer Biology.2013; 23(6): 471.     CrossRef
  • The Impact of Network Medicine in Gastroenterology and Hepatology
    György Baffy
    Clinical Gastroenterology and Hepatology.2013; 11(10): 1240.     CrossRef
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