Myeloid NGS Analyses of Paired Samples from Bone Marrow and Peripheral Blood Yield Concordant Results: A Prospective Cohort Analysis of the AGMT Study Group

Author:

Jansko-Gadermeir Bettina123456,Leisch Michael1237,Gassner Franz J.1234ORCID,Zaborsky Nadja1234ORCID,Dillinger Thomas25,Hutter Sonja25,Risch Angela36ORCID,Melchardt Thomas1237,Egle Alexander12347ORCID,Drost Manuel8,Larcher-Senn Julian8ORCID,Greil Richard123457ORCID,Pleyer Lisa123457

Affiliation:

1. Salzburg Cancer Research Institute (SCRI), Center for Clinical Cancer and Immunology Trials (CCCIT), 5020 Salzburg, Austria

2. 3rd Medical Department with Hematology, Medical Oncology, Hemostaseology, Rheumatology and Infectiology, Oncologic Center, Paracelsus Medical University, 5020 Salzburg, Austria

3. Cancer Cluster Salzburg (CCS), 5020 Salzburg, Austria

4. Laboratory of Immunological and Molecular Cancer Research (LIMCR), 5020 Salzburg, Austria

5. Laboratory for Molecular Cytology (MZL), 5020 Salzburg, Austria

6. Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, 5020 Salzburg, Austria

7. Austrian Group for Medical Tumor Therapy (AGMT) Study Group, 1180 Vienna, Austria

8. Assign Data Management and Biostatistics GmbH, 6020 Innsbruck, Austria

Abstract

Background: Next generation sequencing (NGS) has become indispensable for diagnosis, risk stratification, prognostication, and monitoring of response in patients with myeloid neoplasias. Guidelines require bone marrow evaluations for the above, which are often not performed outside of clinical trials, indicating a need for surrogate samples. Methods: Myeloid NGS analyses (40 genes and 29 fusion drivers) of 240 consecutive, non-selected, prospectively collected, paired bone marrow/peripheral blood samples were compared. Findings: Very strong correlation (r = 0.91, p < 0.0001), high concordance (99.6%), sensitivity (98.8%), specificity (99.9%), positive predictive value (99.8%), and negative predictive value (99.6%) between NGS analyses of paired samples was observed. A total of 9/1321 (0.68%) detected mutations were discordant, 8 of which had a variant allele frequency (VAF) ≤ 3.7%. VAFs between peripheral blood and bone marrow samples were very strongly correlated in the total cohort (r = 0.93, p = 0.0001) and in subgroups without circulating blasts (r = 0.92, p < 0.0001) or with neutropenia (r = 0.88, p < 0.0001). There was a weak correlation between the VAF of a detected mutation and the blast count in either the peripheral blood (r = 0.19) or the bone marrow (r = 0.11). Interpretation: Peripheral blood samples can be used to molecularly classify and monitor myeloid neoplasms via NGS without loss of sensitivity/specificity, even in the absence of circulating blasts or in neutropenic patients.

Funder

Austrian Group for Medical Tumor Therapy

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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