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Lu et al. Hepatoma Research 2018;4:21                            Hepatoma Research
               DOI: 10.20517/2394-5079.2018.44


               Review                                                                        Open Access


               Pathway analysis provides insight into the genetic
               susceptibility to hepatocellular carcinoma and
               insight into immuno-therapy treatment response


                                            1
                           1
               Yih-Kuang Lu , Jacob Morris Brill , Ardesher Aghili , Kenneth Howard Buetow 1,2,3
                                                           1
               1 Computational Sciences and Informatics, Complex Adaptive Systems, Arizona State University, Tempe, AZ 85287, USA.
               2 Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287, USA.
               3 School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
               Correspondence to: Dr. Kenneth Howard Buetow, Computational Sciences and Informatics, Complex Adaptive Systems, Arizona State
               University, Tempe, AZ 85287, USA. E-mail: kenneth.buetow@asu.edu

               How to cite this article: Lu YK, Brill JM, Aghili A, Buetow KH. Pathway analysis provides insight into the genetic susceptibility to
               hepatocellular carcinoma and insight into immuno-therapy treatment response. Hepatoma Res 2018;4:21.
               http://dx.doi.org/10.20517/2394-5079.2018.44
               Received: 26 Apr 2018    First Decision: 28 May 2018    Revised: 11 Jun 2018    Accepted: 12 Jun 2018    Published: 22 Jun 2018

               Science Editor: Guang-Wen Cao    Copy Editor: Jun-Yao Li    Production Editor: Huan-Liang Wu



               Abstract
               Clear evidence exists for genetic susceptibility to hepatocellular carcinoma (HCC). Genome-wide association
               studies have identified multiple candidate susceptibility loci. These loci suggest that genetic variation in the
               immune system may underpin HCC susceptibility. Genes for the antigen processing and presentation pathway
               have been observed to be significantly enriched across studies and the pathway is identified directly through
               genome-wide studies of variation using pathway methods. Detailed analysis of the pathway indicates both
               variation in the antigen presenting loci and in the antigen processing are different in cases in controls. Pathway
               analysis at the transcriptional level also shows difference between normal liver and liver in individuals with
               HCC. Assessing differences in the pathway may prove important in improving immune therapy for HCC and in
               identifying responders for immune checkpoint therapy.


               Keywords: Hepatocellular carcinoma, genetic susceptibility, genome-wide association study, pathway analysis,
               antigen presentation and processing, immune checkpoint therapy




               Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is ranked 5th in global
                                           [1]
               incidence and 2nd in mortality . With the exception of East Asia, the incidence of HCC is increasing
                                                                                          [2]
               in almost all regions of the world and has doubled in the USA since the early 1980s . This increase is
                                                             [3,4]
               attributable to increases in obesity and type II diabetes . Liver cancer’s 5-year survival is the second worst
                                     [5]
               among all cancers (18.1%) .
                           © The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
                as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
                and indicate if changes were made.


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