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. 2020 Mar 19;7(3):1735910.
doi: 10.1080/23723556.2020.1735910. eCollection 2020.

Complexities of pharmacogenomic interactions in cancer

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Complexities of pharmacogenomic interactions in cancer

Kum Kum Khanna et al. Mol Cell Oncol. .

Abstract

Genetic and genomic alterations drive cancer development. However, they may also constitute vulnerabilities, including increased drug sensitivity, which could be harnessed for precision medicine purposes. We discuss the highly complex pharmacogenomic interactions that are beginning to be disentangled and hurdles that may need to be overcome before cancer patients could benefit.

Keywords: Cancer; drug resistance; drug response; drug sensitivity; genomic instability; pharmacogenomics; precision medicine.

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Figures

Figure 1.
Figure 1.
Complex pharmacogenomic interactions in cancer cells. Meta-analysis of recently identified pharmacogenomic interactions in cancer cell lines,8 including mutations (mut), focal copy number alterations (fCNAs) and chromosome arm aneuploidies (CAAs) – the latter two including gains and losses. Pie charts show the distributions of interactions involving single genomic events (a) and pairs of co-occurring genomic events (b). Ratios of events involving gain and loss (G:L) are shown above each pie chart. Heatmaps show the frequencies of co-occurring events involved in drug interactions. Events associated with increased drug sensitivity or resistance are shown against green and red backgrounds, respectively. Source data are in Suppl. Data 10 and 11 of reference 8.

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References

    1. Duijf PHG, Nanayakkara D, Nones K, Srihari S, Kalimutho M, Khanna KK.. Mechanisms of genomic instability in breast cancer. Trends Mol Med. 2019;25:1–3. PubMed ID: 31078431. doi:10.1016/j.molmed.2019.04.004. - DOI - PubMed
    1. Wheeler HE, Maitland ML, Dolan ME, Cox NJ, Ratain MJ.. Cancer pharmacogenomics: strategies and challenges. Nat Rev Genet. 2013;14:23–34. PubMed ID: 23183705. doi:10.1038/nrg3352. - DOI - PMC - PubMed
    1. Koretzky GA. The legacy of the Philadelphia chromosome. J Clin Invest. 2007;117:2030–2032. PubMed ID: 17671635. doi:10.1172/JCI33032. - DOI - PMC - PubMed
    1. Duffy MJ, O’Donovan N, Crown J. Use of molecular markers for predicting therapy response in cancer patients. Cancer Treat Rev. 2011;37:151–159. PubMed ID: 20685042. doi:10.1016/j.ctrv.2010.07.004. - DOI - PubMed
    1. Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Goncalves E, Barthorpe S, Lightfoot H, et al. A landscape of pharmacogenomic interactions in cancer. Cell. 2016;166:740–754. PubMed ID: 27397505. doi:10.1016/j.cell.2016.06.017. - DOI - PMC - PubMed

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