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The combination of WGS and RNA-Seq is superior to conventional diagnostic tests in multiple myeloma: Ready for prime time?

Authors :
Höllein, Alexander
Twardziok, Sven O.
Walter, Wencke
Hutter, Stephan
Baer, Constance
Hernandez-Sanchez, Jesus Maria
Meggendorfer, Manja
Haferlach, Torsten
Kern, Wolfgang
Haferlach, Claudia
Source :
Cancer Genetics. Apr2020, Vol. 242, p15-24. 10p.
Publication Year :
2020

Abstract

• Assessing translocations involving the IGH locus we observed a 96% concordance of FISH (fluorescence in situ hybridization) and WGS results. • Assessing copy number alterations (CNA) we observed and a 92% overall concordance of FISH and WGS. • WGS analysis resulted in the identification of 17 additional MYC -translocations that were missed by the initial FISH based workup. • RNA-Seq followed by supervised clustering grouped patients in their expected genetically defined subgroup and prompted the assessment of WGS data in cases that were not congruent with conventional FISH. • The simultaneous analysis of CNA, SV and small nucleotide variants (SNV) allowed the evaluation of mutations in relation to common cytogenetic findings. The diagnosis and risk stratification of multiple myeloma (MM) is based on clinical and cytogenetic tests. Magnetic CD138 enrichment followed by interphase FISH (fluorescence in situ hybridisation) is the gold standard to identify prognostic translocations and copy number alterations (CNA). Although clinical implications of gene expression profiling (GEP) or panel based sequencing results are evident, those tests have not yet reached routine clinical application. We set up a single workflow to analyse MM of 211 patients at first diagnosis by whole genome sequencing (WGS) and RNA-Seq and validate the results by FISH analysis. We observed a 96% concordance of FISH and WGS results when assessing translocations involving the IGH locus and an overall concordance of FISH and WGS of 92% when assessing CNA. WGS analysis resulted in the identification of 17 additional MYC -translocations that were missed by FISH analysis. RNA-Seq followed by supervised clustering grouped patients in their expected genetically defined subgroup and prompted the assessment of WGS data in cases that were not congruent with FISH. This allowed the identification of additional IGH-translocations and hyperdiploid cases. We show the reliability of WGS an RNA-Seq in a clinical setting, which is a prerequisite for a novel routine diagnostic test. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22107762
Volume :
242
Database :
Academic Search Index
Journal :
Cancer Genetics
Publication Type :
Academic Journal
Accession number :
141941131
Full Text :
https://doi.org/10.1016/j.cancergen.2020.01.001