ArticleBMC cancer2021
PD-L1 tumour expression is predictive of pazopanib response in soft tissue sarcoma.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Response rates of pazopanib therapy in metastatic soft tissue sarcoma using real‑world data.Oncology letters · 2025Article
- Article
- Molecular Heterogeneity in Leiomyosarcoma and Implications for Personalised Medicine.Current treatment options in oncology · 2024Review
- Characterization of the immune cell infiltration landscape in myxofibrosarcoma to aid immunotherapy.Frontiers in immunology · 2022Article
- Activity of PD-1 Inhibitor Combined With Anti-Angiogenic Therapy in Advanced Sarcoma: A Single-Center Retrospective Analysis.Frontiers in molecular biosciences · 2021Article
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9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPazopanib, a multitargeted tyrosine kinase inhibitor, is recommended as the standard treatment for refractory soft tissue sarcoma (STS). However, there are comparatively few molecular determinants for predicting pazopanib efficacy. Based on correlative studies regarding the predictive impact of PD-L1, we investigated the clinical relevance of PD-L1 expression and evaluated its value for predicting pazopanib efficacy.
methodsTumour tissues from patients with advanced STS who went on to receive pazopanib were assessed for PD-L1 expression. Immunohistochemistry was performed using an anti-PD-L1 antibody, and the PD-L1 tumour proportion score (TPS) was calculated as the percentage of at least 100 viable cells with positive expression, defined as TPS ≥ 1%.
resultsAmong the 67 patients, 8 (11.9%) achieved partial response and a median progression-free survival (PFS) of 4.8 months (95% CI 3.8-5.7). PD-L1 expression in tumour cells was detected in 13 (19.4%) cases and the TPS scores ranged from 1 to 100%, as follows: 0 (n = 54, 80.6%), 1-9% (n = 3, 4.5%), 10-49% (n = 9, 13.4%), and ≥ 50% (n = 1, 1.5%). PD-L1 positive tumours exhibited a poorer response to pazopanib treatment than the PD-L1 negative tumours (0% vs 14.8%, P = 0.07). PD-L1-positive tumours had significantly shorter PFS than the PD-L1-negative tumours (median PFS 2.8 vs 5.1 months, P = 0.003), and PD-L1 positivity was an independent predictor of poor response to pazopanib treatment (HR 2.77, 95% CI; 1.45-5.56, P = 0.006).
conclusionWe identified that PD-L1 expression can help predict the clinical outcome of patients with advanced STS treated with pazopanib. Based on our study, stratification should be actively considered in order to identify patients who will benefit from pazopanib or further therapeutic strategies for future clinical trials.
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