The role of c-Met and VEGFR2 in glioblastoma resistance to bevacizumab

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Carvalho, B (Author) FMUP; Lopes, JM (Author) FMUP; Silva, R (Author) Other; Peixoto, J (Author) Other; Leitao, D (Author) Other; Soares, P (Author) Other; Fernandes, AC (Author) Other; Linhares, P (Author) Other; Vaz, R (Author) Other; Lima, J (Author) FMUP

Journal

Title: Scientific Reports

Vol. 11

ISSN: 2045-2322

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 13 Citations

Scopus - 14 Citations

Other information

Authenticus ID: P-00T-MWZ

DOI: 10.1038/s41598-021-85385-1

Abstract (EN): Dismal prognosis of glioblastoma (GBM) prompts for the identification of response predictors and therapeutic resistance mechanisms of current therapies. The authors investigated the impact of c-Met, HGF, VEGFR2 expression and microvessel density (MVD) in GBM patients submitted to second-line chemotherapy with bevacizumab. Immunohistochemical expression of c-Met, HGF, VEGFR2, and MVD was assessed in tumor specimens of GBM patients treated with bevacizumab, after progression under temozolomide. Survival analysis was evaluated according to the expression of the aforementioned biomarkers. c-Met overexpression was associated with a time-to-progression (TTP) after bevacizumab of 3 months (95% CI, 1.5-4.5) compared with a TTP of 7 months (95% CI, 4.6-9.4) in patients with low or no expression of c-Met (p=0.05). VEGFR2 expression was associated with a TTP after bevacizumab of 3 months (95% CI, 1.8-4.2) compared with a TTP of 7 months (95% CI, 5.7-8.3) in patients with no tumoral expression of VEGFR2 (p=0.009). Concomitant c-Met/VEGFR2 overexpression was associated with worse overall survival (13 months) compared with concomitant c-Met/VEGFR2 negative expression (19 months; p=0.025). Our data support the hypothesis that c-Met and VEGFR2 overexpression have a role in the development of glioblastoma early resistance and might predict poorer responses to anti-angiogenic therapies.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8