Open AccessHepatocellular carcinoma: Towards personalized medicine
Author(s) -
Miki Daiki,
Ochi Hidenori,
Hayes C. Nelson,
Aikata Hiroshi,
Chayama Kazuaki
Publication year - 2012
Publication title -
cancer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.035
H-Index - 141
eISSN - 1349-7006
pISSN - 1347-9032
DOI - 10.1111/j.1349-7006.2012.02242.x
Subject(s) - hepatocellular carcinoma , pharmacogenomics , genome wide association study , medicine , personalized medicine , ribavirin , pegylated interferon , hepatitis c virus , liver cancer , hepatitis c , single nucleotide polymorphism , oncology , precision medicine , bioinformatics , genotype , virus , virology , genetics , gene , biology , pathology , pharmacology
Over the past several years, the success of genome‐wide association studies ( GWAS ) and pharmacogenomics has gradually begun to enable personalized medicine in some fields. In the field of liver diseases, host genetic factors are now very useful in clinical practice for predicting treatment outcome and adverse reactions for pegylated interferon plus ribavirin combination therapy against chronic hepatitis C virus ( HCV ) infection. Recently, three virus‐related hepatocellular carcinoma ( HCC ) GWAS were reported from A sia. One study examined hepatitis B virus‐related HCC in China, where hepatitis B is very prevalent, and the other two examined HCV ‐related HCC in Japan. We identified a common variant in the DEPDC 5 locus associated with HCV ‐related HCC , and another group identified an association involving the MICA locus. In this review, we compare the results of these GWAS and earlier candidate gene studies. Further research is needed to determine the role of these single nucleotide polymorphisms on HCC risk, but identification of these markers could make it possible to assess the magnitude of the risk of cancer based on each patient's genetic background. Consideration of the genetic background of the patients will likely play a role in personalized medicine for HCC , and understanding the mechanism underlying the association could suggest novel promising therapeutic targets in the future. ( Cancer Sci 2012; 103: 846–850)