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Updated: May 15, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Blood-based biomarkers in soft tissue sarcoma: Implications for immune checkpoint inhibitor therapy
Brie-Anne Mannah1, John J Park1, Su Yin Lim1,2
1Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.
Abstract:
Soft tissue sarcoma (STS) is a rare and heterogeneous cancer, comprising approximately 1% of all adult cancers and 7%-15% of all childhood cancers. In the advanced stages, chemotherapy remains the standard-of-care, but efficacy is limited, with a response rate of 15%-30%, and responses are often short-lived, with median progression-free survival typically of 6 months. Moreover, patients with advanced or metastatic STS have a median overall survival of only 18-24 months. Immune checkpoint inhibitors (ICI) have revolutionized the treatment of various cancers including melanoma and non-small cell lung cancer (NSCLC). Emerging evidence from recent clinical trials indicates that certain STS subtypes may be amenable to immunotherapy. A critical challenge, however, is identifying biomarkers that can accurately predict and enable monitoring of ICI responses, to enable better patient selection and to improve outcomes. This narrative review highlights the current research gap in the treatment of STS patients with ICI therapy, particularly the absence of reliable blood-based biomarkers to predict ICI response. In this review, we examine current clinical trials investigating the efficacy of ICI therapy in patients with STS and summarise circulating immune-related prognostic biomarkers in STS, including haematological indices, peripheral blood mononuclear cells, circulating proteins and DNA, and evaluate their potential as predictive biomarkers for ICI therapy. We propose that these immune-associated molecules may serve as predictive biomarkers to differentiate and monitor ICI response, thus presenting opportunities for personalised treatment for patients with STS.
Insights
Identifying reliable blood biomarkers is crucial for predicting immune checkpoint inhibitor (ICI) response in soft tissue sarcoma (STS). This review explores circulating immune markers to personalize advanced STS treatment.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Discovery
Background:
- Soft tissue sarcoma (STS) is a rare, heterogeneous cancer with limited chemotherapy efficacy in advanced stages.
- Immune checkpoint inhibitors (ICIs) show promise for treating various cancers, including potential for certain STS subtypes.
- Predictive biomarkers are needed to guide ICI therapy selection and monitoring in STS patients.
Purpose of the Study:
- To review current clinical trials on ICI therapy for STS.
- To summarize circulating immune-related biomarkers in STS.
- To evaluate the potential of these biomarkers for predicting ICI response.
Main Methods:
- Narrative review of clinical trials investigating ICI efficacy in STS.
- Systematic summary of circulating immune biomarkers (hematological indices, PBMCs, proteins, DNA).
- Evaluation of biomarker potential for predicting ICI response in STS.
Main Results:
- Limited response rates and short survival with current chemotherapy for advanced STS.
- Emerging evidence suggests certain STS subtypes may respond to immunotherapy.
- A significant research gap exists in reliable blood-based biomarkers for ICI response prediction in STS.
Conclusions:
- Circulating immune-associated molecules show potential as predictive biomarkers for ICI therapy in STS.
- Development of these biomarkers could enable personalized treatment strategies for advanced STS.
- Further research is needed to validate these biomarkers for clinical application.

