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Clinical Implications and Molecular Features of Extracellular Matrix Networks in Soft Tissue Sarcomas

Valeriya Pankova1, Lukas Krasny1, William Kerrison1

  • 1Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|May 29, 2024
PubMed
Abstract

Insights

Soft tissue sarcomas (STS) exhibit diverse extracellular matrix (ECM) networks. Identifying these ECM features aids in risk stratification and selecting targeted therapies for precision medicine in rare cancers.

Area of Science:

  • Oncology
  • Molecular Biology
  • Proteomics

Background:

  • Extracellular matrix (ECM) alterations in soft tissue sarcomas (STS) are not well understood.
  • Investigating tumor ECM and adhesion signaling networks is crucial for understanding STS.

Purpose of the Study:

  • To investigate the tumor ECM and adhesion signaling networks in STS.
  • To explore the clinical implications of these networks.

Main Methods:

  • Proteomic and clinical data from 321 STS patients across 11 subtypes were analyzed.
  • Subgroup analyses were conducted for leiomyosarcomas (LMS), dedifferentiated liposarcomas (DDLPS), and undifferentiated pleomorphic sarcomas (UPS).

Main Results:

  • Subtype-specific ECM profiles were identified, with basement membrane proteins in LMS and ECM proteases in UPS.
  • Three coregulated ECM networks associated with tumor grade and subtype were discovered.
  • A proteoglycan signature was found to be an independent prognostic factor for overall survival in DDLPS and UPS.

Conclusions:

  • STS possess heterogeneous ECM signaling networks and matrix features.
  • These features can be utilized for risk stratification and therapy selection.
  • Findings may guide precision medicine approaches for rare STS.

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