Multiomic Mapping of Acquired Chromosome 1 Copy-Number and Structural Variants to Identify Therapeutic

Eileen M Boyle1, Patrick Blaney1,2, James H Stoeckle1

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

Abstract

Insights

Chromosome 1 copy-number abnormalities (CNAs) in multiple myeloma have distinct impacts. Whole-arm 1q gains drive adverse outcomes by altering gene expression and pathways, offering potential therapeutic targets.

Area of Science:

  • Genomics
  • Cancer Biology
  • Myeloma Research

Background:

  • Chromosome 1 (chr1) copy-number abnormalities (CNAs) and structural variants (SVs) are common in newly diagnosed multiple myeloma (NDMM).
  • These chr1 alterations have a varied impact on patient outcomes, but the underlying drivers are not well understood.

Purpose of the Study:

  • To comprehensively analyze chr1 molecular variants in NDMM.
  • To investigate the impact of these variants on gene expression and cellular pathways.
  • To identify genetic drivers and prognostic markers associated with chr1 alterations.

Main Methods:

  • A multiomic approach was employed, including CRISPR screening, gene mapping of CNAs and SVs, methylation analysis, gene expression profiling, and mutational analysis.
  • CRISPR was used to identify functional dependencies on chr1.
  • Gene set enrichment analysis was performed to understand pathway alterations.

Main Results:

  • Two distinct groups of gain(1q) were identified: focal gains with limited gene expression changes and neutral prognosis, and whole-arm gains with significant gene expression changes, complex genetics, and adverse prognosis.
  • Seven deletion regions, nine gain regions, three chromothripsis (CT) events, and two templated insertion (TI) events were identified on chr1.
  • Hypomethylation of 1q genes and significant expression changes, including metabolic processes, apoptotic resistance, MAPK signaling, and transcription factor upregulation, were associated with whole-arm gains and adverse prognosis.

Conclusions:

  • Genetic complexity on chr1 significantly influences the clinical phenotype of multiple myeloma.
  • Whole-arm gains of 1q represent a critical prognostic group that deregulates multiple pathways.
  • These deregulated pathways associated with whole-arm 1q gains may present therapeutic vulnerabilities for multiple myeloma patients.