Anti-Angiogenic Tyrosine Kinase Inhibitor-Related Toxicities Among Cancer Patients: A Systematic Review and Meta-Analysis.

Background: Targeting of angiogenesis has become a major therapeutic approach for the treatment of various advanced cancers. There are many unresolved questions on the toxicity of anti-angiogenic tyrosine kinase inhibitors (TKIs).
Objective: We performed a meta-analysis to assess the toxicity prevalence of the different anti-angiogenic TKIs among cancer patients and in subpopulations of interest including patients with renal cell carcinoma.
Patients and Methods: We searched the MEDLINE and Cochrane Library databases to November 2023. Clinical trials were eligible if they set out to report the grade ≥3 toxicities related to one of the seven currently approved anti-angiogenic TKIs as monotherapies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was applied with PROSPERO (CRD42023411946).
Results: The 421 eligible studies included a total of 56,895 cancer patients treated with anti-angiogenic TKI monotherapy. Twenty-four different cancer types were identified, mainly renal cell carcinoma (41.9% of the patients). The anti-angiogenic TKI was sorafenib (34.5% of the patients), sunitinib (30.5%), regorafenib (10.7%), pazopanib (9.4%), cabozantinib (7.7%), axitinib (4.3%), and lenvatinib (2.9%). The pooled prevalence of grade 3 and 4 toxicities was 56.1% (95% confidence interval 53.5-58.6), with marked between-study heterogeneity (I ²  = 96.8%). Toxicity profiles varied considerably depending on the type of TKI, the cancer type, and the specific patient characteristics. In particular, Asian patients and elderly people had higher prevalences of severe toxicities, with pazopanib being the best-tolerated drug. For patients treated with sunitinib, particularly those with metastatic RCC, there was no significant difference in terms of toxicity according to the regimen schedule.
Conclusions: This meta-analysis highlights the toxicity profiles of anti-angiogenic TKI monotherapies, and thus enables high-level recommendations for the choice of anti-angiogenic TKIs on the basis of the patient's age, ethnicity, comorbidities, and comedications, for personalized treatment.
(© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)