Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing Journal Article


Authors: Ptashkin, R. N.; Ewalt, M. D.; Jayakumaran, G.; Kiecka, I.; Bowman, A. S.; Yao, J. J.; Casanova, J.; Lin, Y. T. D.; Petrova-Drus, K.; Mohanty, A. S.; Bacares, R.; Benhamida, J.; Rana, S.; Razumova, A.; Vanderbilt, C.; Balakrishnan Rema, A.; Rijo, I.; Son-Garcia, J.; de Bruijn, I.; Zhu, M.; Lachhander, S.; Wang, W.; Haque, M. S.; Seshan, V. E.; Wang, J.; Liu, Y.; Nafa, K.; Borsu, L.; Zhang, Y.; Aypar, U.; Suehnholz, S. P.; Chakravarty, D.; Park, J. H.; Abdel-Wahab, O.; Mato, A. R.; Xiao, W.; Roshal, M.; Yabe, M.; Batlevi, C. L.; Giralt, S.; Salles, G.; Rampal, R.; Tallman, M.; Stein, E. M.; Younes, A.; Levine, R. L.; Perales, M. A.; van den Brink, M. R. M.; Dogan, A.; Ladanyi, M.; Berger, M. F.; Brannon, A. R.; Benayed, R.; Zehir, A.; Arcila, M. E.
Article Title: Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing
Abstract: Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms. © 2023, The Author(s).
Keywords: controlled study; gene mutation; major clinical study; single nucleotide polymorphism; somatic mutation; genetics; mutation; janus kinase 2; allogeneic stem cell transplantation; flow cytometry; neoplasm; neoplasms; clinical assessment; cohort analysis; gene frequency; brca2 protein; protein p53; hematologic malignancy; hematologic neoplasms; fluorescence in situ hybridization; somatic hypermutation; dna; blood sampling; atm protein; genomics; rhoa guanine nucleotide binding protein; immunomodulation; tumor; myeloproliferative neoplasm; hematologic disease; ephrin receptor a5; dna methyltransferase 3a; cell; copy number variation; single nucleotide polymorphism array; diffuse large b cell lymphoma; blood system disorder; high throughput sequencing; allelic imbalance; high-throughput nucleotide sequencing; isocitrate dehydrogenase 2; dna sequencing; cancer; humans; human; article; tumor mutational burden
Journal Title: Nature Communications
Volume: 14
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2023-10-28
Start Page: 6895
Language: English
DOI: 10.1038/s41467-023-42585-9
PUBMED: 37898613
PROVIDER: scopus
PMCID: PMC10613284
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in [the PubMed record/PDF/the PubMed record and PDF]. Corresponding MSK authors are Mark D. Ewalt, Ahmet Zehir and Maria E. Arcila -- Source: Scopus
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MSK Authors
  1. Venkatraman Ennapadam Seshan
    382 Seshan
  2. Khedoudja Nafa
    243 Nafa
  3. Eytan Moshe Stein
    342 Stein
  4. Sergio Andres Giralt
    1050 Giralt
  5. Martin Stuart Tallman
    649 Tallman
  6. Jinjuan Yao
    58 Yao
  7. Marc Ladanyi
    1326 Ladanyi
  8. Jae Hong Park
    356 Park
  9. Raajit Kumar Rampal
    338 Rampal
  10. Ross Levine
    775 Levine
  11. Miguel-Angel Perales
    912 Perales
  12. Ahmet Zehir
    343 Zehir
  13. Michael Forman Berger
    764 Berger
  14. Maria Eugenia Arcila
    657 Arcila
  15. Angela Rose Brannon
    99 Brannon
  16. Ruben Bacares
    18 Bacares
  17. Ivelise A Rijo
    30 Rijo
  18. Connie Wing-Ching Lee Batlevi
    176 Batlevi
  19. Anas Younes
    319 Younes
  20. Ahmet Dogan
    454 Dogan
  21. Rym Benayed
    188 Benayed
  22. Jiajing Wang
    11 Wang
  23. Mikhail Roshal
    227 Roshal
  24. Abhinita Subhadarshin Mohanty
    39 Mohanty
  25. Iwona J Kiecka
    7 Kiecka
  26. Mariko   Yabe
    50 Yabe
  27. Mohammad Haque Haque
    12 Haque
  28. Yanming Zhang
    199 Zhang
  29. Wenbin Xiao
    108 Xiao
  30. Wei Wang
    4 Wang
  31. Anthony R Mato
    235 Mato
  32. Anita S Bowman
    44 Bowman
  33. Satshil Rana
    37 Rana
  34. Umut Aypar
    35 Aypar
  35. Ying Liu
    33 Liu
  36. Menglei Zhu
    35 Zhu
  37. Yun-Te Lin
    8 Lin
  38. Gilles Andre Salles
    269 Salles
  39. Mark David Ewalt
    32 Ewalt