The location of the t(4;14) translocation breakpoint within the NSD2 gene identifies a subset of patients with high-risk NDMM

Author:

Stong Nicholas1ORCID,Ortiz-Estévez María2,Towfic Fadi3ORCID,Samur Mehmet45,Agarwal Amit6,Corre Jill7ORCID,Flynt Erin8,Munshi Nikhil4910,Avet-Loiseau Hervé7ORCID,Thakurta Anjan8ORCID

Affiliation:

1. 1Predictive Sciences, Bristol Myers Squibb, Summit, NJ

2. 2Predictive Sciences, BMS Center for Innovation and Translational Research Europe (CITRE), A Bristol Myers Squibb Company, Seville, Spain

3. 3Predictive Sciences, Bristol Myers Squibb, San Diego, CA

4. 4Dana-Farber Cancer Institute, Boston, MA

5. 5Harvard TH Chan School of Public Health, Boston, MA

6. 6Medical Affairs, Bristol Myers Squibb, Summit, NJ

7. 7Unit of Genomics in Myeloma, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France

8. 8Translational Medicine, Bristol Myers Squibb, Summit, NJ

9. 9VA Boston Healthcare System, West Roxbury, MA

10. 10Harvard Medical School, Boston, MA

Abstract

Abstract Although translocation events between chromosome 4 (NSD2 gene) and chromosome 14 (immunoglobulin heavy chain [IgH] locus) (t(4;14)) is considered high risk in newly diagnosed multiple myeloma (NDMM), only ∼30% to 40% of t(4;14) patients are clinically high risk. We generated and compared a large whole genome sequencing (WGS) and transcriptome (RNA sequencing) from 258 t(4;14) (n = 153 discovery, n = 105 replication) and 183 non-t(4;14) NDMM patients with associated clinical data. A landmark survival analysis indicated only ∼25% of t(4;14) patients had an overall survival (OS) <24 months, and a comparative analysis of the patient subgroups identified biomarkers associated with this poor outcome, including translocation breakpoints located in the NSD2 gene and expression of IgH-NSD2 fusion transcripts. Three breakpoints were identified and are designated as: “no-disruption” (upstream of NSD2), “early-disruption” (in the 5' UTR), and “late-disruption” (within the NSD2 gene). Our results show a significant difference in OS based on the location of DNA breakpoints (median OS 28.6 “late-disruption” vs 59.2 “early disruption” vs 75.1 months “no disruption”). These findings have been replicated in an independent replication dataset. Also, univariate and multivariate analysis suggest high-risk markers such as del17p, 1p independently contribute to poor outcome in t(4;14) MM patients.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

Reference24 articles.

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5. Clinical value of molecular subtyping multiple myeloma using gene expression profiling;Weinhold;Leukemia,2016

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