Identification of a novel t(7;14) translocation in multiple myeloma resulting in overexpression ofEGFR

Myeloma Genome Project Panel is a Comprehensive Targeted Genomics Panel for Molecular Profiling of Patients with Multiple Myeloma

PURPOSE

We designed a comprehensive multiple myeloma targeted sequencing panel to identify common genomic abnormalities in a single assay and validated it against known standards.

EXPERIMENTAL DESIGN

The panel comprised 228 genes/exons for mutations, 6 regions for translocations, and 56 regions for copy number abnormalities (CNA). Toward panel validation, targeted sequencing was conducted on 233 patient samples and further validated using clinical FISH (translocations), multiplex ligation probe analysis (MLPA; CNAs), whole-genome sequencing (WGS; CNAs, mutations, translocations), or droplet digital PCR (ddPCR) of known standards (mutations).

RESULTS

Canonical immunoglobulin heavy chain translocations were detected in 43.2% of patients by sequencing, and aligned with FISH except for 1 patient. CNAs determined by sequencing and MLPA for 22 regions were comparable in 103 samples and concordance between platforms was R2 = 0.969. Variant allele frequency (VAF) for 74 mutations were compared between sequencing and ddPCR with concordance of R2 = 0.9849.

CONCLUSIONS

In summary, we have developed a targeted sequencing panel that is as robust or superior to FISH and WGS. This molecular panel is cost-effective, comprehensive, clinically actionable, and can be routinely deployed to assist risk stratification at diagnosis or posttreatment to guide sequencing of therapies.

Prenatal diagnosis and molecular cytogenetic characterization of three chromosomal abnormalities with favorable outcomes

OBJECTIVE

Here we present three cases of chromosomal abnormalities with favorable outcomes.

CASE REPORT

In Case 1, conventional karyotyping revealed a karyotype of 46, XY,t(7; 14) (q35; q13)[4]/46,XY[26]. Array comparative genomic hybridization (aCGH) analysis revealed no genomic imbalance. In Case 2, conventional karyotyping revealed a norma karyotype but aCGH analysis revealed a 3.2M chromosomal duplication (13q12.11q12.12(22, 073, 046_25, 230, 759)x3). In Case 3, aCGH analysis revealed a 5.5M chromosomal deletion (9q21.13q21.32 (78, 645, 382_84, 115, 555) x1). In all three cases, ultrasound examination showed no dysmorphisms and intrauterine growth restrictions (IUGRs) in the fetus. All three pregnancies resulted in phenotypically normal babies.

CONCLUSION

Chromosomal abnormalities may be associated with favorable outcomes. Combining conventional karyotyping, aCGH analysis and ultrasound results can provide a more accurate risk assessment for pregnant women with advanced age.

Multiple Myeloma Genomics: A Systematic Review

OBJECTIVES

This integrative review describes the genomic variants that have been found to be associated with poor prognosis in patients diagnosed with multiple myeloma (MM). Second, it identifies MM genetic and genomic changes using next-generation sequencing, specifically whole-genome sequencing or exome sequencing.

DATA SOURCE

A search for peer-reviewed articles through PubMed, EBSCOhost, and DePaul WorldCat Libraries Worldwide yielded 33 articles that were included in the final analysis.

CONCLUSION

The most commonly reported genetic changes were KRAS, NRAS, TP53, FAM46C, BRAF, DIS3, ATM, and CCND1. These genetic changes play a role in the pathogenesis of MM, prognostication, and therapeutic targets for novel therapies.

IMPLICATIONS FOR NURSING PRACTICE

MM genetics and genomics are expanding rapidly; oncology nurse clinicians must have basic competencies in genetics and genomics to help patients understand the complexities of genetic and genomic alterations and be able to refer patients to appropriate genomic professionals if needed.

Tight Junction Protein 1: New Insights into Proteasome Inhibitor Resistance and Myeloma Pathophysiology

In this issue of Cancer Cell, Zhang et al. report that TJP1 suppresses EGFR/JAK1/STAT3-mediated signaling and increases the proteasome inhibitor sensitivity of myeloma cells by altering the cellular proteasome capacity versus proteasome load of undegraded intracellular proteins.