Multiomic Mapping of Acquired Chromosome 1 Copy-Number and Structural Variants to Identify Therapeutic Vulnerabilities in Multiple Myeloma

Author:

Boyle Eileen M.1ORCID,Blaney Patrick12ORCID,Stoeckle James H.1ORCID,Wang Yubao1ORCID,Ghamlouch Hussein1ORCID,Gagler Dylan12ORCID,Braunstein Marc1ORCID,Williams Louis13ORCID,Tenenbaum Avital1ORCID,Siegel Ariel1ORCID,Chen Xiaoyi1ORCID,Varma Gaurav1ORCID,Avigan Jason1ORCID,Li Alexander1ORCID,Jinsi Monica1ORCID,Kaminetzsky David1ORCID,Arbini Arnaldo1ORCID,Montes Lydia4ORCID,Corre Jill5ORCID,Rustad Even H.6ORCID,Landgren Ola7ORCID,Maura Francesco7ORCID,Walker Brian A.8ORCID,Bauer Michael9ORCID,Bruno Benedetto10ORCID,Tsirigos Aristotelis2ORCID,Davies Faith E.1ORCID,Morgan Gareth J.1ORCID

Affiliation:

1. 1Myeloma Research Program, Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York.

2. 2Applied Bioinformatics Laboratories, NYU Langone Medical Center, New York, New York.

3. 3Myeloma Group, Cleveland Clinic Foundation, Taussig Cancer Center, Cleveland, Ohio.

4. 4Universite d'Amiens-Picardie, Amiens, France.

5. 5Unit for Genomics in Myeloma, Institut Universitaire du Cancer de Toulouse-Oncopole, University Hospital, Toulouse; Centre de Recherche en Cancérologie de Toulouse, Institut National de la Santé et de la Recherche Médicale U1037, Toulouse, France.

6. 6Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.

7. 7Myeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida.

8. 8Melvin and Bren Simon Comprehensive Cancer Center, Department of Hematology Oncology, Indiana University, Indianapolis, Indiana.

9. 9Department of Biomedical Informatics (DBMI), UAMS, Little-Rock, Arkansas.

10. 10Department of Hematology, Azienda Ospedaliera Citta della Salute e della Scienza di Torino, Piemonte, Italy.

Abstract

Abstract Purpose: Chromosome 1 (chr1) copy-number abnormalities (CNA) and structural variants (SV) are frequent in newly diagnosed multiple myeloma (NDMM) and are associated with a heterogeneous impact on outcomes, the drivers of which are largely unknown. Experimental Design: A multiomic approach comprising CRISPR, gene mapping of CNAs and SVs, methylation, expression, and mutational analysis was used to document the extent of chr1 molecular variants and their impact on pathway utilization. Results: We identified two distinct groups of gain(1q): focal gains associated with limited gene-expression changes and a neutral prognosis, and whole-arm gains, which are associated with substantial gene-expression changes, complex genetics, and an adverse prognosis. CRISPR identified a number of dependencies on chr1 but only limited variants associated with acquired CNAs. We identified seven regions of deletion, nine of gain, three of chromothripsis (CT), and two of templated insertion (TI), which contain a number of potential drivers. An additional mechanism involving hypomethylation of genes at 1q may contribute to the aberrant gene expression of a number of genes. Expression changes associated with whole-arm gains were substantial and gene set enrichment analysis identified metabolic processes, apoptotic resistance, signaling via the MAPK pathway, and upregulation of transcription factors as being key drivers of the adverse prognosis associated with these variants. Conclusions: Multiple layers of genetic complexity impact the phenotype associated with CNAs on chr1 to generate its associated clinical phenotype. Whole-arm gains of 1q are the critically important prognostic group that deregulate multiple pathways, which may offer therapeutic vulnerabilities.

Funder

Leukemia and Lymphoma Society

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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