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2177 Pilot Inter-Laboratory Comparison Study of Optical Genome Mapping Analysis for Cytogenomic Characterization of Hematological Malignancies: A Spanish Multicentric Study

Program: Oral and Poster Abstracts
Session: 803. Emerging Tools, Techniques and Artificial Intelligence in Hematology: Poster I
Hematology Disease Topics & Pathways:
Technology and Procedures, omics technologies
Saturday, December 10, 2022, 5:30 PM-7:30 PM

Anna Puiggros, PhD1*, Mar Mallo, Ph.D.2*, Marta Salido, PhD1*, Ana Gómez-García3*, Adela Cisneros4*, Rocío García-Serra5*, Celia González-Gil6*, Gayane Avetisyan7*, María Rodríguez-Rivera1*, Alvaro Diaz-Gonzalez8*, Isabel Granada, PhD4*, Esperanza Such, PhD9*, Eulàlia Genescà, PhD6*, Rosa Collado10*, Manuel Ramírez-Orellana3*, Francesc Solé, PhD11 and Blanca Espinet, PhD1*

1Molecular Cytogenetics Laboratory, Pathology Service, Hospital del Mar and Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona, Spain
2Josep Carreras Leukemia Research Institute (IJC), ICO-Hospital GermansTrias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
3Hematooncology Laboratory, Cytogenetic Section , Clinical Analysis Service, Hospital Niño Jesús, Madrid, Spain
4Servei Laboratori d’Hematologia, Hospital Germans Trias i Pujol, Institut Català d’Oncologia (ICO), Institut de Recerca Contra la Leucèmia Josep Carreras (IJC), Badalona, Spain
5Hematology Department, Consorcio Hospital General Universitario. Research Foundation from Hospital General Universitario (FIHGUV), Valencia, Spain
6Institut de Recerca Contra la Leucèmia Josep Carreras (IJC), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
7Servicio de Hematología. Hospital La Fe, Valencia, Spain
8Department of Hematology, Hospital Universitario y Politécnico La Fe; Hematology Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
9Department of Hematology, Hospital Universitario y Politécnico La Fe; Hematology Research Group, Instituto de Investigación Sanitaria La Fe; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Valencia, Spain
10Department of Hematology, Hospital General Universitario, Valencia, Spain
11MDS Group. Institut de Recerca Contra la Leucèmia Josep Carreras (IJC), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain

Introduction. Optical genome mapping (OGM, Bionano Genomics) is a novel whole genome approach based on the imaging of long DNA molecules that allows detecting structural and copy number variants (CNV) at a high resolution. Recent publications in several hematologic malignancies have demonstrated the good performance of OGM to identify clinically relevant genetic aberrations, otherwise found by karyotyping, FISH and/or genomic microarrays. Despite its high potential as a diagnostic tool, consensus guidelines for OGM implementation in the clinical setting are still lacking. The aims of the study were: (1) To describe the inter-laboratory reproducibility in the identification and reporting of clinically relevant cytogenomic variants by OGM; (2) To outline the main causes of discrepancies among centers, to be addressed in future OGM recommendations.

Patients and Methods. Six Spanish centers participated in this pilot inter-laboratory comparison. A total of 12 patients were included, analyzing three centers each. The analyzed samples comprised tumoral specimens from two chronic lymphocytic leukemia (CLL), one follicular lymphoma (FL), two multiple myeloma (MM), two primary myelofibrosis (PMF), one acute myeloid leukemia (AML), two adult T-cell acute lymphoblastic leukemia (T-ALL) and two pediatric B-cell acute lymphoblastic leukemia (B-ALL). High molecular weight DNA from peripheral blood (n=6) or bone marrow (n=6) samples was labelled, processed and imaged in a Saphyr System (Bionano Genomics). Molecule files from the rare variant analysis (obtained from the Bionano Access software) were shared among hospitals and each center analyzed the samples following the manufacturer’s filtering/analysis recommendations. The concordance rate was calculated taking into account those variants included in the final curated variant list and those that would be included in the clinical report.

Results. Globally, 152 variants were recorded by at least one center (median: 11/sample, range: 6-22), being 100 CNV, 44 translocations and 8 small insertions or inversions. Among them, 98 (68%) were considered clinically relevant as they were classified as pathogenic (disease-related or CNV >5Mb, n=62) or likely pathogenic (CNV<5Mb associated with translocations or translocations associated with pathogenic CNV, n=36). The remaining 54 were classified as variants of unknown significance (VUS). Regarding the detection of pathogenic and likely-pathogenic variants, the global concordance among centers was 83%, being 100% in 8/12 cases, around 90% in 3/12 cases and only 33% in one case. The latter had a low tumor burden and one laboratory did not perform a visual revision of the whole genome data (Figure). Remarkably, except for this case, 100% of concordance was obtained in the detection of the diagnostic and prognostic abnormalities described in guidelines (Table). Similar concordance rates were obtained for rearrangements (79%) and CNV gains and losses (86% and 85%, respectively). Concerning the inclusion in the clinical reports of those variants detected by all the centers, 94% (75/80) were concordantly reported. Discordances in the reporting included 3 pathogenic variants (one complex rearrangement and 2 losses with a low infiltration) and 2 likely pathogenic variants (complex rearrangements associated with CNV). In contrast, only 6/54 VUS (11%) were concordantly identified (3 CNV <500Kb and 3 translocations) and none of them was reported by all the centers.

Conclusions. 1. The inter-laboratory concordance for the identification of the clinically relevant (diagnostic and/or prognostic) abnormalities was optimal. 2. Nevertheless, certain potential pathogenic aberrations were discordantly classified and/or reported; discrepancies were explained by a variable previous knowledge on the Bionano Access software, different filtering/analysis criteria and diverse professional expertise; 3. Future OGM international guidelines are needed to harmonize the introduction of such cytogenomic results in the clinical reports for hematological malignancies.

Acknowledgements: 2017SGR437 and 2017SGR288 and CERCA Programme, Generalitat de Catalunya; Fundació Internacional Josep Carreras; PI19/01828 and PI21/00022 from ISCIII; Premios FIHGUV 20/425; SEHH (C. G-G personal grant) and ACIF/2021/169, from Generalitat Valenciana (R.G-S predoctoral contract).

Disclosures: García-Serra: AbbVie: Other: received educational activity; Novartis: Other: received educational activity.

*signifies non-member of ASH