Stromal PDGFR-beta expression is a prognostic factor in high-grade serous ovarian cancer patients but is it also predictive for response to antiangiogenic treatment?

Abstract

Abstract Objective In advanced ovarian cancer, the majority of patients receive anti-angiogenic treatment with bevacizumab. However, its use is often associated with severe side effects, and not all patients benefit from the therapy. Currently, there are no reliable biomarkers to predict response to treatment. Given their role as key regulators of angiogenesis, platelet-derived growth factor receptor-beta (PDGFR-beta) and vascular endothelial growth factor receptor-2 (VEGFR-2) are promising candidates for predictive biomarkers. This study evaluates their potential. Methods PDGFR-beta and VEGFR-2 expression was evaluated using immunohistochemistry in a tissue microarray assay including 391 ovarian tissue samples. Correlation analyses with clinical and histopathological parameters were performed in a homogeneous cohort of 199 high grade serous ovarian cancer samples (HGSOC). Results In HGSOC, strong stromal PDGFR-beta expression was associated with significantly shorter overall survival compared to weak/moderate expression. The impact of stromal PDGFR-beta expression on patient survival was however not restricted to the subgroup of patients receiving therapy with bevacizumab, and therefore cannot be considered as a predictive factor. For VEGFR-2, no or weak protein expression was found in the majority of the tumor samples. Survival analyses showed a more favorable prognosis with no or weak VEGFR-2 expression. Conclusions High stromal expression levels of PDGFR-beta correlate with shorter overall survival in HGSOC. Thus, stromal PDGFR-beta might serve as a prognostic biomarker. No predictive effect in response to bevacizumab therapy could be attributed.

Keywords

• Ovarian cancer
• PDGFR-beta
• VEGFR-2
• Bevacizumab
• Prognostic biomarker