ArticleTherapeutic advances in medical oncology2026
Biomarkers of prognosis and pazopanib response in soft tissue sarcoma: An exploratory analysis.
Article in Therapeutic advances in medical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Corrections and comments
- Erratum issued
Authors and funding
17 authors.
Funding
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Abstract
Background: Advanced soft tissue sarcoma (STS) is a group of rare and heterogeneous malignancies, requiring better therapeutic strategies. Pazopanib, a widely used second-line treatment, has been suggested to exert immunomodulatory effects, which may be relevant for enhancing response. Specifically, pazopanib reduces immunosuppressive cells like myeloid-derived suppressor cells (MDSC) and regulatory T cells (Treg) while enhancing the function of dendritic cells, T cells, and NK effectors. Based on this knowledge, we hypothesized that proteins involved in immunomodulation could serve as predictive biomarkers of response to pazopanib. Objectives: To explore immune-related biomarkers of prognosis and pazopanib response in advanced soft tissue sarcoma using paired pre- and post-treatment tumour samples and complementary preclinical models. Design: Exploratory translational study integrating differential gene expression profiling of clinical specimens with in silico prognostic evaluation and Methods: HTG transcriptome-direct profiling was performed on paired FFPE tumour samples from pazopanib-treated patients, followed by bioinformatic identification of differentially expressed genes and survival correlations, and subsequent validation of candidate biomarkers, at RNA and protein levels in sarcoma cell lines exposed to pazopanib. Results: Using HTG transcriptomics, we identified 38 differentially expressed genes in post-pazopanib STS samples. Among them, Conclusions: Our results support
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