Unlocking Bevacizumab's Potential: rCBVmax as a Predictive Biomarker for Enhanced Survival in Glioblastoma IDH-Wildtype Patients

Cancers (Basel). 2023 Dec 28;16(1):161. doi: 10.3390/cancers16010161.

Abstract

Background: Aberrant vascular architecture and angiogenesis are hallmarks of glioblastoma IDH-wildtype, suggesting that these tumors are suitable for antiangiogenic therapy. Bevacizumab was FDA-approved in 2009 following promising results in two clinical trials. However, its use for recurrent glioblastomas remains a subject of debate, as it does not universally improve patient survival.

Purposes: In this study, we aimed to analyze the influence of tumor vascularity on the benefit provided by BVZ and propose preoperative rCBVmax at the high angiogenic tumor habitat as a predictive biomarker to select patients who can benefit the most.

Methods: Clinical and MRI data from 106 patients with glioblastoma IDH-wildtype have been analyzed. Thirty-nine of them received BVZ, and the remaining sixty-seven did not receive a second-line treatment. The ONCOhabitats method was used to automatically calculate rCBV.

Results: We found a median survival from progression of 305 days longer for patients with moderate vascular tumors who received BVZ than those who did not receive any second-line treatment. This contrasts with patients with high-vascular tumors who only presented a median survival of 173 days longer when receiving BVZ. Furthermore, better responses to BVZ were found for the moderate-vascular group with a higher proportion of patients alive at 6, 12, 18, and 24 months after progression.

Conclusions: We propose rCBVmax as a potential biomarker to select patients who can benefit more from BVZ after tumor progression. In addition, we propose a threshold of 7.5 to stratify patients into moderate- and high-vascular groups to select the optimal second-line treatment.

Keywords: angiogenesis; bevacizumab; glioblastoma; predictive biomarker; rCBV.

Grants and funding

M.Á-T was supported by DPI2016-80054-R (Programa Estatal de Promoción del Talento y su Empleabilidad en I + D + i). This work was partially supported by the ALBATROSS project (National Plan for Scientific and Technical Research and Innovation 2017–2020, No. PID2019-104978RB-I00). This study was partially funded by the Fundació La Marató TV3 (665/C/2013). Grant PID2021-127110OA-I00 (PROGRESS) was funded by MCIN/AEI/10.13039/501100011033 and ERDF, a way of making Europe.