Antitumour activity of oleanolic acid: A systematic review and meta‑analysis

• Published in: Oncology letters Vol. 28; no. 6; p. 582
• Main Authors: Zeng, Ying, Wang, Zhonglian, Zhang, Jing, Jian, Wei, Fu, Qiaofen
• Format: Journal Article
• Language: English
• Published: Greece Spandidos Publications UK Ltd 01.12.2024; D.A. Spandidos
• Subjects: Acids; Bias; Bioavailability; Cancer therapies; Cell cycle; Drug dosages; Drug resistance; Intervention; Laboratory animals; Meta-analysis; Mortality; Natural products; Radiation; Software; Systematic review; United States > US; Netherlands; pentacyclic triterpenes; meta-analysis; animal tumour model; neoplasms; oleanolic acid; biological products
• ISSN: 1792-1074; 1792-1082
• DOI: 10.3892/ol.2024.14715

Oleanolic acid (OA), a compound known for its potent antitumour properties, has been the subject of investigations in both cell and animal models. Although OA has good biological activity, its low water solubility and bioavailability limit its therapeutic use, and therefore translating the potential of OA into the clinical oncology setting remains challenging. The present systematic review and meta-analysis utilized evidence from animal model studies to gain insights into the antitumour mechanisms of OA to address the gap in understanding, and to provide guidance for future research directions and potential clinical applications. The guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses were applied in the present study and a comprehensive search was conducted across the PubMed/MEDLINE, Web of Science, Cochrane Library and Embase databases, with a cut-off date of June 30, 2023. The primary focus was on randomized controlled trials that used animal models to assess the antitumour effects of OA. The methodological quality appraisal was conducted using the Systematic Review Centre for Laboratory Animal Experimentation risk of bias tool, and tumour volume and weight served as the principal outcome measures. Data were analysed using the RevMan (version 5.3) and Stata SE11 software packages, with an assessment of heterogeneity conducted using the I statistical test, sensitivity analysis conducted using the leave-one-out approach, and evaluation of publication bias performed using Egger's test and funnel plot analysis. The present study demonstrated a significant inhibitory effect of OA intervention on tumour growth and a decrease in tumour weight in animal models. Despite the broad spectrum of antitumour effects exhibited by OA, further investigations are warranted to optimize the dosage and administration routes of OA to maximize its efficacy in clinical cancer treatment.