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Can genome array screening replace FISH as a front‐line test in multiple myeloma?
Author(s) -
Boneva Temenushka,
Brazma Diana,
Gancheva Katya,
HowardReeves Julie,
Raynov Julian,
Grace Colin,
Nacheva Elisabeth P
Publication year - 2014
Publication title -
genes, chromosomes and cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.754
H-Index - 119
eISSN - 1098-2264
pISSN - 1045-2257
DOI - 10.1002/gcc.22178
Subject(s) - comparative genomic hybridization , multiple myeloma , fluorescence in situ hybridization , biology , genetics , genome , computational biology , copy number analysis , disease , cancer research , copy number variation , medicine , pathology , gene , immunology , chromosome
Multiple myeloma (MM) is a malignant disorder characterized by neoplastic transformation of mature B cells in the bone marrow (BM), accompanied by complex genetic changes. The disease is heterogeneous at both the clinical and genomic levels. Molecular genetics and genomic investigations have demonstrated that disease evolution is associated with an accumulation of specific aberrations, mostly genome imbalances, which not only shed light on the disease pathogenesis but also allow risk assessment and treatment monitoring. We used a catalogue version of the Agilent 8x60K oligo‐array with immuno‐magnetically isolated CD138(+) cells from BM samples of 50 patients with myeloma to evaluate the merit of array comparative genomic hybridization (aCGH) as a diagnostic tool. We demonstrate the ability of aCGH to detect clonal imbalances to a level well below established clinically significant thresholds. aCGH, combined with target enrichment and complemented with tests for IGH rearrangements offers a cost neutral alternative to multiprobe fluorescence in situ hybridization screening. While we recognize the limitations of the standard version of the 8x60k array we demonstrate the value of aCGH as a first tier test in the diagnostic workup of MM. The array technology enables high‐risk disease stratification with the added benefit of providing whole genome data to assist in establishing clinically relevant predicative markers. © 2014 Wiley Periodicals, Inc.