Angiosarcoma: adaptive designs leveraging vascular biology and antiangiogenic repurposing

Elhadi Iich1, Bavani Kannan1, Yi Chye Law2

  • 1Cancer Discovery Hub, National Cancer Centre Singapore, Singapore.

Abstract

Insights

Angiosarcoma, a rare cancer, shows significant heterogeneity. Identifying distinct, treatment-responsive subgroups with biomarkers is crucial for effective therapy and improved patient outcomes.

Area of Science:

  • Oncology
  • Vascular Biology
  • Clinical Trial Design

Background:

  • Angiosarcoma is a rare, aggressive vascular malignancy with considerable clinical and molecular heterogeneity.
  • Current unselected clinical trials may obscure treatment effects in distinct biological subgroups, such as UV-associated cutaneous, radiation-associated, and visceral tumors.

Purpose of the Study:

  • To review current and emerging therapies for angiosarcoma, including cytotoxic, anti-angiogenic, and immunotherapies.
  • To explore advances in multiomic, spatial, and proteomic profiling for angiosarcoma.
  • To evaluate adaptive and Bayesian trial designs for biomarker-enriched development in angiosarcoma.

Main Methods:

  • Narrative review of literature identified through PubMed and AI-assisted discovery.
  • Inclusion of clinical trial reports, conference abstracts, and regulatory guidance up to July 2026.
  • Examination of cytotoxic and anti-angiogenic therapy, immunotherapy, oncolytic virotherapy, and non-canonical vascular targets.

Main Results:

  • Current systemic therapies offer modest population-level benefit with limited durability.
  • Emerging evidence suggests biologically distinct, treatment-responsive subsets exist, including certain UV-associated cutaneous and secondary angiosarcomas.
  • Validated predictive biomarkers for these subsets are currently lacking.

Conclusions:

  • Progress in angiosarcoma treatment requires integrating molecular, immune, spatial, and protein-level features for patient selection.
  • Adaptive and enrichment-based trial designs can mitigate subgroup signal dilution.
  • These designs support a shift from histology-defined cohorts to mechanistically stratified treatment approaches.

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