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Crisafulli et al. Cancer Drug Resist 2019;2:225-41                                Cancer
               DOI: 10.20517/cdr.2018.008                                            Drug Resistance




               Review                                                                        Open Access


               Pharmacogenetic and pharmacogenomic discovery
               strategies


               Concetta Crisafulli , Petronilla Daniela Romeo , Marco Calabrò , Ludovica Martina Epasto , Saverio
                                                        2
                                1
                                                                      1
                                                                                              2
               Alberti 1,2
               1 Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
               2 Unit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy.
               Correspondence to: Prof. Saverio Alberti, Unit of Medical Genetics, BIOMORF Department of Biomedical Sciences, University of
               Messina, via Consolare Valeria, 98125 Messina, Italy. E-mail: salberti@unime.it
               How to cite this article: Crisafulli C, Romeo PD, Calabrò M, Epasto LM, Alberti S. Pharmacogenetic and pharmacogenomic
               discovery strategies. Cancer Drug Resist 2019;2:225-41. http://dx.doi.org/10.20517/cdr.2018.008

               Received: 18 Dec 2018     First Decision: 18 Feb 2019    Revised: 22 Mar 2019    Accepted: 26 Mar 2019    Published: 19 Jun 2019

               Science Editor: Enrico Mini     Copy Editor: Cai-Hong Wang    Production Editor: Huan-Liang Wu

               Abstract
               Genetic/genomic profiling at a single-patient level is expected to provide critical information for determining inter-
               individual drug toxicity and potential efficacy in cancer therapy. A better definition of cancer subtypes at a molecular
               level, may correspondingly complement such pharmacogenetic and pharmacogenomic approaches, for more effective
               personalized treatments. Current pharmacogenetic/pharmacogenomic strategies are largely based on the identification
               of known polymorphisms, thus limiting the discovery of novel or rarer genetic variants. Recent improvements in cost
               and throughput of next generation sequencing (NGS) are now making whole-genome profiling a plausible alternative for
               clinical procedures. Beyond classical pharmacogenetic/pharmacogenomic traits for drug metabolism, NGS screening
               programs of cancer genomes may lead to the identification of novel cancer-driving mutations. These may not only
               constitute novel therapeutic targets, but also effector determinants for metabolic pathways linked to drug metabolism.
               An additional advantage is that cancer NGS profiling is now leading to discovering targetable mutations, e.g., in
               glioblastomas and pancreatic cancers, which were originally discovered in other tumor types, thus allowing for effective
               repurposing of active drugs already on the market.

               Keywords: Pharmacogenetics, pharmacogenomics, cancer, next-generation sequencing, genomic variants




               INTRODUCTION
               Advances in cancer treatment over the last decades have more and more relied on identifying therapy-
                                                                                  [1]
               responsive subgroups on the basis of evolving tumor subgroup classifications , as based on pathological
                           © The Author(s) 2019. 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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