Current Status of Angiogenesis Inhibitors as Second-Line Treatment for Unresectable Colorectal Cancer

Satoshi Otsu1, Shuichi Hironaka2

  • 1Department of Medical Oncology and Hematology, Oita University Faculty of Medicine, 1-1, Idaigaoka, Hasama-machi, Yufu City 879-5593, Oita, Japan.

Cancers
|September 28, 2023
PubMed

Insights

Colorectal cancer treatment relies on biomarkers. This study explores selecting among three angiogenesis inhibitors (bevacizumab, ramucirumab, aflibercept) for second-line therapy, highlighting potential VEGF biomarkers.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Colorectal cancer is a leading cause of death globally.
  • Second-line treatment selection depends on prior therapies and biomarkers like RAS, BRAF, dMMR/MSI-H, TMB-H, and HER2.
  • Angiogenesis inhibitors are frequently used in second-line colorectal cancer treatment.

Purpose of the Study:

  • To clarify the rationale for selecting among bevacizumab, ramucirumab, and aflibercept in second-line colorectal cancer treatment.
  • To investigate potential biomarkers for predicting the efficacy of these angiogenesis inhibitors.

Main Methods:

  • Review of established biomarkers for first-line colorectal cancer treatment.
  • Analysis of clinical practice regarding second-line treatment with angiogenesis inhibitors.
  • Exploration of previous biomarker studies suggesting VEGF-A and VEGF-D as potential predictors for angiogenesis inhibitor efficacy.

Main Results:

  • Three angiogenesis inhibitors (bevacizumab, ramucirumab, aflibercept) are available for second-line colorectal cancer treatment, each with distinct mechanisms.
  • No definitive biomarkers are currently established for selecting among these inhibitors.
  • Angiogenesis-related factors, such as VEGF-A and VEGF-D measured in plasma, show promise as predictive biomarkers.

Conclusions:

  • There is a need to clarify the selection rationale for angiogenesis inhibitors in second-line colorectal cancer therapy.
  • VEGF-A and VEGF-D represent promising biomarkers for predicting therapeutic efficacy.
  • Further research into biomarker-guided selection can optimize patient outcomes.

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