ArticleInternational journal of molecular sciences2025
Predicting Survival in Bevacizumab-Treated Colorectal Cancer: Personalized Mathematical Models Based on Clinical and Angiogenic Biomarkers.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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Who cites it
3 citing papers in PubMed.
- Predictive Biomarkers in Metastatic Colorectal Cancer Patients Treated With Bevacizumab: A Turkish Oncology Group (TOG) Study.International journal of cancer · 2026Article
- Enhancing Targeted Colorectal Cancer Therapies with Natural Products: Mechanistic Pathways.Biomedicines · 2026Review
- The Relationship Between Vascular Endothelial Growth Factor Expression in T Cell Subsets and Survival of Patients With Colorectal Cancer.Cancer diagnosis & prognosisArticle
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Authors and funding
6 authors.
Funding
Abstract
Aberrant activation of proangiogenic signaling pathways, particularly the vascular endothelial growth factor (VEGF) axis, drives neovascularization and tumor progression in colorectal cancer (CRC). Bevacizumab targets VEGF-A-mediated angiogenesis, but the lack of validated predictive biomarkers limits personalized treatment. In this prospective study, we evaluated a panel of circulating angiogenic biomarkers combined with clinical parameters, using mathematical models to predict survival in metastatic CRC patients treated with bevacizumab and chemotherapy. Low VEGF-A and VEGF-D levels, together with high bFGF, were associated with improved overall survival (OS). A logistic regression model incorporating these biomarkers, regional lymph node invasion, and primary tumor resection status showed significant prognostic accuracy (
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