Utility of targeted gene sequencing to differentiate myeloid malignancies from other cytopenic conditions

Author:

DeZern Amy E.1,Goll Johannes B.2ORCID,Lindsley R. Coleman3ORCID,Bejar Rafael4,Wilson Steffanie H.2,Hebert Donnie2,Deeg Joachim5,Zhang Ling6,Gore Steven7,Al Baghdadi Tareq8,Maciejewski Jaroslaw9,Liu Jane10,Padron Eric6,Komrojki Rami6ORCID,Saber Wael11,Abel Gregory3,Kroft Steven H.12ORCID,Harrington Alexandra13,Grimes Tyler2ORCID,Reed Harrison2ORCID,Fulton Robert S.14,DiFronzo Nancy L.15,Gillis Nancy6ORCID,Sekeres Mikkael A.16,Walter Matthew J.17ORCID

Affiliation:

1. 1Sidney Kimmel Cancer Center, Baltimore, MD

2. 2The Emmes Company, LLC, Rockville, MD

3. 3Dana-Farber Cancer Institute, Boston, MA

4. 4Moores Cancer Center, La Jolla, CA

5. 5Fred Hutchison Cancer Research Center, Seattle, WA

6. 6H. Lee Moffitt Cancer Center, Tampa, FL

7. 7National Cancer Institute, National Institutes of Health, Rockville, MD

8. 8Michigan Cancer Research Consortium, Ypsilanti, MI

9. 9Cleveland Clinic, Cleveland, OH

10. 10Illinois CancerCare, Peoria, IL

11. 11Center for International Blood and Marrow Transplant Research, Milwaukee, WI

12. 12Froedtert Hospital, Milwaukee, WI

13. 13Kern Institute, Milwaukee, WI

14. 14McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO

15. 15National Institutes of Health, National Heart, Lung, and Blood Institute, Bethesda, MD

16. 16Sylvester Cancer Center, Miami, FL

17. 17Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, MO

Abstract

Abstract The National Heart, Lung, and Blood Institute–funded National MDS Natural History Study (NCT02775383) is a prospective cohort study enrolling patients with cytopenia with suspected myelodysplastic syndromes (MDS) to evaluate factors associated with disease. Here, we sequenced 53 genes in bone marrow samples harvested from 1298 patients diagnosed with myeloid malignancy, including MDS and non-MDS myeloid malignancy or alternative marrow conditions with cytopenia based on concordance between independent histopathologic reviews (local, centralized, and tertiary to adjudicate disagreements when needed). We developed a novel 2-stage diagnostic classifier based on mutational profiles in 18 of 53 sequenced genes that were sufficient to best predict a diagnosis of myeloid malignancy and among those with a predicted myeloid malignancy, predict whether they had MDS. The classifier achieved a positive predictive value (PPV) of 0.84 and negative predictive value (NPV) of 0.8 with an area under the receiver operating characteristic curve (AUROC) of 0.85 when classifying patients as having myeloid vs no myeloid malignancy based on variant allele frequencies (VAFs) in 17 genes and a PPV of 0.71 and NPV of 0.64 with an AUROC of 0.73 when classifying patients as having MDS vs non-MDS malignancy based on VAFs in 10 genes. We next assessed how this approach could complement histopathology to improve diagnostic accuracy. For 99 of 139 (71%) patients (PPV of 0.83 and NPV of 0.65) with local and centralized histopathologic disagreement in myeloid vs no myeloid malignancy, the classifier-predicted diagnosis agreed with the tertiary pathology review (considered the internal gold standard).

Publisher

American Society of Hematology

Subject

Hematology

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