Clinical insights into hematologic malignancies and comparative analysis of molecular signatures of acute myeloid leukemia in different ethnicities using an artificial intelligence offering.

Journal: Medicine
Published Date:

Abstract

Next generation sequencing generates copious amounts of genomics data, causing manual interpretation to be laborious and non-scalable while remaining subjective (even for highly trained specialists). We evaluated the performance of the artificial intelligence-based offering Watson for Genomics (WfG), a variant interpretation platform, in hematologic malignancies for the first time.Next generation sequencing was performed for patients treated for various hematological malignancies at Hallym University Sacred Heart Hospital, South Korea, between December 2017 and August 2020 using a 54-gene panel. Both WfG and expert manual curation were used to evaluate the performance of WfG. Acute myeloid leukemia (AML) molecular profiles were compared between Koreans and other ethnic groups using a publicly available dataset.Seventy-seven patients were analyzed (AML: 45, myeloproliferative neoplasms: 12, multiple myeloma: 7, myelodysplastic syndromes: 6, and others: 7). The concordance between the manual and WfG interpretations of 35 variants in 11 random patients was 94%. Among all patients, WfG identified 39 (51%) with at least 1 clinically actionable therapeutic alteration (i.e., a variant targeted by a United States Food and Drug Administration [US FDA]-approved drug, off-label drug, or clinical trial). Moreover, 46% of these patients (18/39) had genes that were targeted by a US FDA-approved therapy. WfG identified diagnostic or prognostic insights in 65% of the patients with no targetable alterations. In those with AML, FLT3-internal tandem duplications or tyrosine kinase domain mutations were less frequent among Koreans than among Caucasians (6.7% vs 30.2%, Pā€Š<ā€Š.001) or Hispanics (6.7% vs 28.3%, Pā€Š=ā€Š.005), suggesting ethnic differences.Variant interpretation using WfG correlated well with manually curated expert opinions. WfG provided therapeutic insights (including variant-specific drugs and clinical trials that cannot easily be provided by expert manual curation), as well as diagnostic and/or prognostic information.

Authors

  • Jane L Snowdon
    IBM Watson Health, Cambridge, Massachusetts, USA.
  • Dilhan Weeraratne
    IBM Watson Health, Cambridge, Massachusetts, USA.
  • Hu Huang
  • David Brotman
    IBM Watson Health, Cambridge, MA, USA.
  • Shang Xue
    IBM Watson Health, Cambridge, MA, USA.
  • Van C Willis
    IBM Watson Health, Cambridge, MA, USA.
  • Young Kyung Lee
    Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
  • Kibum Jeon
    Department of Laboratory Medicine, Hallym University Hangang Sacred Heart Hospital, Seoul, Republic of Korea.
  • Dae Young Zang
    Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea.
  • Hyo Jung Kim
    Division of Biomedical Informatics, Seoul National University Biomedical Informatics and Systems Biomedical Informatics Research Center, Seoul National University College of Medicine, Seoul, Korea.
  • Ho Young Kim
    Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea.
  • Boram Han
    Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea.
  • Miyoung Kim
    Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.