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

Benjamin A Nacev1,2,3, Francisco Sanchez-Vega4,5, Shaleigh A Smith4,6

  • 1Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA.

Nature Communications
|June 15, 2022
PubMed

Insights

This study analyzed 2,138 sarcomas, revealing common genetic alterations in cell cycle control and TP53. Findings offer insights into sarcoma heterogeneity and potential therapeutic targets for better patient care.

Area of Science:

  • Oncology
  • Genetics
  • Genomics

Background:

  • Sarcomas exhibit significant genetic, biologic, and clinical heterogeneity, complicating therapeutic target identification and patient care.
  • Over 100 sarcoma subtypes exist, leading to focused genetic studies on limited entities.
  • A comprehensive genetic understanding across diverse sarcoma subtypes is crucial for advancing treatment strategies.

Purpose of the Study:

  • To conduct a comparative genetic analysis of a large cohort of sarcomas representing multiple pathological entities.
  • To characterize subtype-specific somatic alterations, whole genome doubling rates, and mutational signatures.
  • To identify subtype-agnostic genomic clusters and potential therapeutic targets within sarcomas.

Main Methods:

  • Prospective targeted sequencing of 2,138 sarcomas across 45 pathological entities.
  • Analysis of somatic alterations in key pathways, including cell cycle control, TP53, receptor tyrosine kinases/PI3K/RAS, and epigenetic regulators.
  • Characterization of whole genome doubling rates, mutational signatures, and genomic clustering.

Main Results:

  • Identified common alterations in cell cycle control, TP53, receptor tyrosine kinases/PI3K/RAS, and epigenetic regulators across sarcoma subtypes.
  • Revealed subtype-specific genetic associations, such as TERT amplification in intimal sarcoma and SWI/SNF alterations in uterine adenosarcoma.
  • Observed variation in tumor mutational burden between and within sarcoma subtypes.

Conclusions:

  • This large-scale genetic analysis provides a valuable resource for improving sarcoma models and understanding subtype-specific alterations.
  • The findings will inform future research on genetic factors influencing treatment response in sarcoma patients.
  • The study highlights the potential for identifying novel therapeutic targets by dissecting sarcoma genetic heterogeneity.