Clinical sequencing of soft tissue and bone sarcomas delineates diverse genomic landscapes and potential therapeutic targets Journal Article


Authors: Nacev, B. A.; Sanchez-Vega, F.; Smith, S. A.; Antonescu, C. R.; Rosenbaum, E.; Shi, H.; Tang, C.; Socci, N. D.; Rana, S.; Zehir, A.; Gounder, M. M.; Gularte-Merida, R.; Bowler, T. G.; Luthra, A.; Jadeja, B.; Okada, A.; Strong, J. A.; Stoller, J.; Chan, J. E.; Chi, P.; D'Angelo, S. P.; Dickson, M. A.; Kelly, C. M.; Keohan, M. L.; Movva, S.; Thornton, K.; Meyers, P. A.; Wexler, L. H.; Slotkin, E. K.; Bender, J. L. G.; Shukla, N. N.; Hensley, M. L.; Healey, J. H.; La Quaglia, M. P.; Alektiar, K. M.; Crago, A. M.; Yoon, S. S.; Untch, B. R.; Chiang, S.; Agaram, N. P.; Hameed, M. R.; Berger, M. F.; Solit, D. B.; Schultz, N.; Ladanyi, M.; Singer, S.; Tap, W. D.
Article Title: Clinical sequencing of soft tissue and bone sarcomas delineates diverse genomic landscapes and potential therapeutic targets
Abstract: Sarcomas are rare tumours with many different subtypes and clinical outcomes; a broader knowledge of their genetic features is required. Here, the authors analyse 2138 soft tissue and bone sarcomas across 45 subtypes using MSK-IMPACT targeted sequencing and find genomic groups that are distinct from histological subgroups. The genetic, biologic, and clinical heterogeneity of sarcomas poses a challenge for the identification of therapeutic targets, clinical research, and advancing patient care. Because there are > 100 sarcoma subtypes, in-depth genetic studies have focused on one or a few subtypes. Herein, we report a comparative genetic analysis of 2,138 sarcomas representing 45 pathological entities. This cohort is prospectively analyzed using targeted sequencing to characterize subtype-specific somatic alterations in targetable pathways, rates of whole genome doubling, mutational signatures, and subtype-agnostic genomic clusters. The most common alterations are in cell cycle control and TP53, receptor tyrosine kinases/PI3K/RAS, and epigenetic regulators. Subtype-specific associations include TERT amplification in intimal sarcoma and SWI/SNF alterations in uterine adenosarcoma. Tumor mutational burden, while low compared to other cancers, varies between and within subtypes. This resource will improve sarcoma models, motivate studies of subtype-specific alterations, and inform investigations of genetic factors and their correlations with treatment response.
Keywords: risk; expression; reveals; activation; uterine; blockade; open-label; telomeres; tert promoter mutations; cancer
Journal Title: Nature Communications
Volume: 13
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2022-06-15
Start Page: 3405
Language: English
ACCESSION: WOS:000814803900004
DOI: 10.1038/s41467-022-30453-x
PROVIDER: wos
PMCID: PMC9200818
PUBMED: 35705560
Notes: Article -- 3405 -- Source: Wos
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MSK Authors
  1. Sam Yoon
    108 Yoon
  2. Meera Hameed
    281 Hameed
  3. Kaled M Alektiar
    333 Alektiar
  4. David Solit
    779 Solit
  5. Leonard H Wexler
    191 Wexler
  6. Narasimhan P Agaram
    190 Agaram
  7. Cristina R Antonescu
    895 Antonescu
  8. Ping Chi
    173 Chi
  9. Mary Louise Keohan
    125 Keohan
  10. Marc Ladanyi
    1328 Ladanyi
  11. Martee L Hensley
    290 Hensley
  12. Mrinal M Gounder
    229 Gounder
  13. Sandra Pierina D'Angelo
    253 D'Angelo
  14. Aimee Marie Crago
    106 Crago
  15. Samuel Singer
    337 Singer
  16. Ahmet Zehir
    343 Zehir
  17. Mark Andrew Dickson
    170 Dickson
  18. Nicholas D Socci
    266 Socci
  19. Michael Forman Berger
    765 Berger
  20. Paul Meyers
    311 Meyers
  21. John H Healey
    548 Healey
  22. Neerav Shukla
    159 Shukla
  23. William Douglas Tap
    374 Tap
  24. Emily Kanaya Slotkin
    65 Slotkin
  25. Brian Untch
    65 Untch
  26. Nikolaus D Schultz
    487 Schultz
  27. Sarah   Chiang
    146 Chiang
  28. Ciara Marie Kelly
    90 Kelly
  29. Benjamin Alexander Nacev
    30 Nacev
  30. Bhumika Jadeja
    11 Jadeja
  31. Timothy Geoffrey Bowler
    9 Bowler
  32. Satshil Rana
    37 Rana
  33. Jason Earl Chan
    29 Chan
  34. Sujana Movva
    47 Movva
  35. Anisha Luthra
    26 Luthra
  36. Hongyu Shi
    13 Shi
  37. Shaleigh Anne Smith
    15 Smith
  38. Azusa Okada
    3 Okada
  39. Jonathan Alexander Strong
    2 Strong
  40. Cerise Tang
    11 Tang