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Zhang et al. J Cancer Metastasis Treat 2020;6:21                    Journal of Cancer
               DOI: 10.20517/2394-4722.2020.40                           Metastasis and Treatment




               Review                                                                        Open Access


               Mouse tumor susceptibility genes identify drug
               combinations for multiple myeloma



               Shuling Zhang , Wendy DuBois , Ke Zhang , John K. Simmons , V. Keith Hughitt , Sayeh Gorjifard ,
                                                    1
                                                                                    1
                                                                    1,2
                                                                                                   1,3
                            1
                                          1
               Snehal Gaikwad , Tyler J. Peat , Beverly A. Mock 1
                                         1
                             1
               1 Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, Bethesda, MD 20892, USA.
               2 Personal Genome Diagnostics, Baltimore, MD 21224, USA.
               3 University of Washington School of Medicine, Department of Genome Sciences, Seattle, WA 98195, USA.
               Correspondence to: Dr. Beverly A. Mock, Laboratory of Cancer Biology and Genetics, CCR, NCI, NIH, 37 Convent Dr., Bldg. 37,
               Rm 3146, Bethesda, MD 20892, USA. E-mail: mockb@mail.nih.gov
               How to cite this article: Zhang S, DuBois W, Zhang K, Simmons JK, Hughitt VK, Gorjifard S, Gaikwad S, Peat TJ, Mock BA. Mouse
               tumor susceptibility genes identify drug combinations for multiple myeloma. J Cancer Metastasis Treat 2020;6:21.
               http://dx.doi.org/10.20517/2394-4722.2020.40
               Received: 5 Mar 2020    First Decision: 17 Jun 2020    Revised: 3 July 2020    Accepted: 7 Jul 2020    Published: 26 Jul 2020

               Academic Editor: Ciro Isidoro    Copy Editor: Cai-Hong Wang    Production Editor: Jing Yu


               Abstract
               Long-term genetic studies utilizing backcross and congenic strain analyses coupled with positional cloning
               strategies and functional studies identified Cdkn2a, Mtor, and Mndal as mouse plasmacytoma susceptibility/
               resistance genes. Tumor incidence data in congenic strains carrying the resistance alleles of Cdkn2a and Mtor led
               us to hypothesize that drug combinations affecting these pathways are likely to have an additive, if not synergistic
               effect in inhibiting tumor cell growth. Traditional and novel systems-level genomic approaches were used to
               assess combination activity, disease specificity, and clinical potential of a drug combination involving rapamycin/
               everolimus, an Mtor  inhibitor, with entinostat, an histone deacetylase inhibitor. The combination synergistically
               repressed oncogenic MYC and activated the Cdkn2a tumor suppressor. The identification of MYC as a primary
               upstream regulator led to the identification of small molecule binders of the G-quadruplex structure that forms in
               the NHEIII region of the MYC promoter. These studies highlight the importance of identifying drug combinations
               which simultaneously upregulate tumor suppressors and downregulate oncogenes.

               Keywords: Complex genetic trait, plasma cell tumor, multiple myeloma, entinostat, rapamycin, drug combinations,
               Cdkn2a, Mtor, Mndal, MYC







                           © The Author(s) 2020. 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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