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H. de Boussac et al.
PBK inhibitors could overcome Lenalidomide resistance. Even if these observations are promising, additional in vivo experiments are needed to confirm the potential and eluci- date the mechanistic roles of these kinases in Lenalidomide and Melphalan resistance reversion.
The development of the KI could be used to identify high-risk patients that could benefit from treatment with selected kinases inhibitors. Developing the KI, we also identified kinases that have already been linked to MM physiopathology including CKS1B,21 AURKA,22 CDKN2C,23 NEK251 and BUB1B.52 In addition, we also identified a num- ber of kinases (PAK2, HK2, CDC7, BUB1, CKS2, TK1, MAP2K6, NTRK3, STK39, PTPRG, CDKN3, DUSP10, PFKP, SRPK2, RPRD1A, PI4K2B) without a clear or docu- mented connection with MM, but which are considered as potential targets in other cancers. According to the high degree of heterogeneity of the disease, we look forward to the development of new inhibitors targeting these kinases,
which could be of therapeutic interest in MM.
To date, no kinase inhibitors have received the approval of the Food and Drug Administration for the treatment of MM.7 Our study demonstrates that kinase targeting could be of therapeutic interest, especially in high-risk MM patients defined by the KI. Since this index significantly increases at relapse compared to newly diagnosed patients, CHK1, MELK, PLK4, SRPK1, CDC7-DBF4, MPS1/TTK and PBK inhibitors could represent new treat- ment options alone or in combination with Melphalan or
IMiD for refractory/relapsing MM patients.
Funding
This work was supported by grants from INCa (Institut National du Cancer; PLBIO15-256), ITMO Cancer (MM&TT), ANR (TIE-Skip; 2017-CE15-0024-01), SIRIC Montpellier Cancer (INCa_Inserm_DGOS_12553) and Institut Universitaire de France.
References
1. Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin. 2012;62(1):10-29.
2. Kyle RA, Rajkumar SV. Multiple myeloma. N Engl J Med. 2004;351(18):1860-1873.
3. Lohr JG, Stojanov P, Carter SL, et al.
Widespread genetic heterogeneity in multi- ple myeloma: implications for targeted therapy. Cancer Cell. 2014;25(1):91-101.
4. Bolli N, Avet-Loiseau H, Wedge DC, et al. Heterogeneity of genomic evolution and mutational profiles in multiple myeloma. Nat Commun. 2014;5:2997.
5. Palumbo A, Rajkumar SV, San Miguel JF, et al. International Myeloma Working Group consensus statement for the management, treatment, and supportive care of patients with myeloma not eligible for standard autologous stem-cell transplantation. J Clin Oncol. 2014;32(6):587-600.
6. Fleuren EDG, Zhang L, Wu J, Daly RJ. The kinome “at large” in cancer. Nat Rev Cancer. 2016;16(2):83-98.
7. Abramson HN. Kinase inhibitors as poten- tial agents in the treatment of multiple myeloma. Oncotarget. 2016;7(49):81926- 81968.
8. Tiedemann RE, Zhu YX, Schmidt J, et al. Kinome-wide RNAi studies in human mul- tiple myeloma identify vulnerable kinase targets, including a lymphoid-restricted kinase, GRK6. Blood. 2010;115(8):1594- 1604.
9. Sabatier R, Finetti P, Mamessier E, et al. Kinome expression profiling and prognosis of basal breast cancers. Mol Cancer. 2011;10:86.
10. Hose D, Rème T, Hielscher T, et al. Proliferation is a central independent prog- nostic factor and target for personalized and risk-adapted treatment in multiple myeloma. Haematologica. 2011;96(1):87- 95.
11. Moreaux J, Rème T, Leonard W, et al. Development of gene expression-based score to predict sensitivity of multiple myeloma cells to DNA methylation inhibitors. Mol Cancer Ther. 2012; 11(12):2685-2692.
12. Barlogie B, Tricot G, Rasmussen E, et al. Total therapy 2 without thalidomide in comparison with total therapy 1: role of
intensified induction and posttransplanta- tion consolidation therapies. Blood. 2006; 107(7):2633-2638.
13. Nair B, van Rhee F, Shaughnessy JD, et al. Superior results of Total Therapy 3 (2003- 33) in gene expression profiling-defined low-risk multiple myeloma confirmed in subsequent trial 2006-66 with VRD mainte- nance. Blood. 2010;115(21):4168-4173.
14. Kassambara A, Rème T, Jourdan M, et al. GenomicScape: an easy-to-use web tool for gene expression data analysis. Application to investigate the molecular events in the differentiation of B cells into plasma cells. PLoS Comput Biol. 2015;11(1):e1004077.
15. Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A. 1998;95(25):14863- 14868.
16. Zhang XG, Gaillard JP, Robillard N, et al. Reproducible obtaining of human myelo- ma cell lines as a model for tumor stem cell study in human multiple myeloma. Blood. 1994;83(12):3654-3663.
17. De Bruyne E, Bos TJ, Asosingh K, et al. Epigenetic silencing of the tetraspanin CD9 during disease progression in multiple myeloma cells and correlation with sur- vival. Clin Cancer Res. 2008;14(10):2918- 2926.
18. Chou TC, Talalay P. Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors. Adv Enzyme Regul. 1984;22:27- 55.
19. Lesluyes T, Delespaul L, Coindre J-M, Chibon F. The CINSARC signature as a prognostic marker for clinical outcome in multiple neoplasms. Sci Rep. 2017; 7(1):5480.
20. Zhan F, Huang Y, Colla S, et al. The molec- ular classification of multiple myeloma. Blood. 2006;108(6):2020-2028.
21. Shaughnessy J. Amplification and overex- pression of CKS1B at chromosome band 1q21 is associated with reduced levels of p27Kip1 and an aggressive clinical course in multiple myeloma. Hematol Amst Neth. 2005;10 Suppl 1:117-126.
22. Evans R, Naber C, Steffler T, et al. Aurora A kinase RNAi and small molecule inhibition of Aurora kinases with VE-465 induce apoptotic death in multiple myeloma cells. Leuk Lymphoma. 2008;49(3):559-569.
23. Leone PE, Walker BA, Jenner MW, et al.
Deletions of CDKN2C in multiple myelo- ma: biological and clinical implications. Clin Cancer Res. 2008;14(19):6033-6041.
24. Walker BA, Wardell CP, Melchor L, et al. Intraclonal heterogeneity and distinct molecular mechanisms characterize the development of t(4;14) and t(11;14) myelo- ma. Blood. 2012;120(5):1077-1086.
25. Vikova V, Jourdan M, Robert N, et al. Comprehensive characterization of the mutational landscape in multiple myeloma cell lines reveals potential drivers and path- ways associated with tumor progression and drug resistance. Theranostics. 2019; 9(2):540-553.
26. Kumagai A, Dunphy WG. Claspin, a novel protein required for the activation of Chk1 during a DNA replication checkpoint response in Xenopus egg extracts. Mol Cell. 2000;6(4):839-849.
27. Chini CCS, Chen J. Human claspin is required for replication checkpoint control. J Biol Chem. 2003;278(32):30057-30062.
28. Arora V, Cheung HH, Plenchette S, Micali OC, Liston P, Korneluk RG. Degradation of survivin by the X-linked inhibitor of apop- tosis (XIAP)-XAF1 complex. J Biol Chem. 2007;282(36):26202-26209.
29. Kim KS, Heo J-I, Choi KJ, Bae S. Enhancement of cellular radiation sensitivi- ty through degradation of Chk1 by the XIAP-XAF1 complex. Cancer Biol Ther. 2014;15(12):1622-1634.
30. Pene F, Claessens Y-E, Muller O, et al. Role of the phosphatidylinositol 3-kinase/Akt and mTOR/P70S6-kinase pathways in the prolif- eration and apoptosis in multiple myeloma. Oncogene. 2002;21(43):6587-6597.
31. Landau HJ, McNeely SC, Nair JS, et al. The checkpoint kinase inhibitor AZD7762 potentiates chemotherapy-induced apopto- sis of p53-mutated multiple myeloma cells. Mol Cancer Ther. 2012;11(8):1781-1788.
32. Natoni A, Coyne MRE, Jacobsen A, et al. Characterization of a dual CDC7/CDK9 inhibitor in multiple myeloma cellular models. Cancers. 2013;5(3):901-918.
33. Bolomsky A, Heusschen R, Schlangen K, et al. Maternal embryonic leucine zipper kinase is a novel target for proliferation- associated high-risk myeloma. Haematologica. 2018;103(2):325-335.
34. Steensma DP, Gertz MA, Greipp PR, et al. A high bone marrow plasma cell labeling index in stable plateau-phase multiple myeloma is a marker for early disease pro-
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