Abstract

Abstract Background: 2016's NCCN guideline recommended that induction therapy used conventional chemotherapy such as proteasome inhibitors and Imids in MM. Overall survival is improving by these Novel agents. However, we don't know how to choose these new agents. In the future, we can use next generation sequencer as a tool of drug choosing system. So we reviewed newly diagnosed 11 patients with MM who had received novel agents in our institution.The comprehensive analysis of genetic alterations in tumor by next generation sequencing can allow for the prediction of drug resistance and facilitate improvements in the treatment of MM patients. Method: DNA was extracted from magnetic bead-enriched bone marrow CD138-positive malignant plasma cells from 11 cases of MM, and CD138-negative cells were used as matched non-tumor cells. Forty nanograms of DNA were used for multiplex PCR amplification with an Ion Ampliseq Comprehensive Cancer Panel that offers targeted coverage of all exons in 409 tumor suppressor genes and oncogenes frequently cited and frequently mutated in human cancers. (covered regions: 95.4% of total). We sequenced 15,992 regions which obtained more than 1.5 megabases of target sequence. Result: Each sample underwent on average 8.3 million sequencing reads after quality filtering. The mean read depths were 539x, and >95% of targeted bases were represented by at least 20 reads. The average number of non-synonymous mutations detected per patient was 5.8 (range 0-11). We also detected copy number variations in which segments of the genome can be duplicated or deleted from sequencing data. We found several genetic alterations that may have been associated with the poor prognosis and poor response to chemotherapy of MM patients. Pathway assessment has shown that somatic aberrations within MM genomes are mainly involved in several important pathways, including cell cycle regulation, RTK-MAPK-PI3K and NF-kB. Conclusion: We performed targeted next-generation sequencing for rapid (2 days), standardized, and cost-effective gene analysis of malignant plasma cells from patients with MM. We can use targeted next-generation sequencing as tool of drug choosing system. Citation Format: Hiroshi Ikeda, Yasushi Sasaki, Kazuya Ishiguro, Tadao Ishida, Yuka Aoki, Takashi Tokino. Targeted semiconductor sequencing of 409 cancer-related genes for somatic mutations and copy number variations in multiple myeloma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3188.

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