羽扇豆醇
漏斗图
荟萃分析
出版偏见
医学
癌症
肿瘤科
癌症研究
药理学
内科学
生物信息学
生物
传统医学
作者
Homa Fatma,Mohd Jameel,Arif Jamal Siddiqui,Mohammed Kuddus,Nouha Saleh Buali,Insaf Bahrini,Hifzur R. Siddique
出处
期刊:Phytomedicine
[Elsevier]
日期:2024-09-01
卷期号:132: 155777-155777
标识
DOI:10.1016/j.phymed.2024.155777
摘要
Extensive research on Lupeol's potential in cancer prevention highlights its ability to target various cancer-related factors. It regulates proliferative markers, modulates signaling pathways, including PI3K/AKT/mTOR, and influences inflammatory and apoptotic mechanisms. Additionally, Lupeol demonstrates selectivity in killing cancer cells while sparing normal cells, thus minimizing the risk of toxic effects on healthy tissues. Therefore, we aimed to explore Lupeol's potential roles as a chemotherapeutic agent and as a sensitizer to chemotherapy by reviewing various animal-based studies published on its effects. We conducted a comprehensive search across databases, including PubMed, PMC, Cochrane, EuroPMC, and ctri.gov.in to identify pertinent articles. Our focus was solely on published animal studies examining Lupeol's anti-cancer effects, with reviewers independently assessing bias risk and resolving discrepancies through consensus. 20 studies were shortlisted. The results demonstrated that Lupeol brings changes in the tumor volume by [Hedges's g: -6.62; 95% CI: -8.68, -4.56; τ2: 24.36, I2: 96.50%; p< 0.05] and tumor weight by [Hedges's g: -3.97; 95% CI: -5.20, -2.49; τ2: 2.70, I2: 79.27%; p<0.05]. The high I2, negative Egger's value, and asymmetrical funnel plot show the publication bias among the studies. Further, Lupeol in combination with other chemotherapeutic agents showed better outcomes as compared to them alone [Hedges's g: -6.38; 95% CI: -11.82, -0.94; τ2: 46.91; I2: 98.68%; p<0.05]. Lupeol also targets various signaling molecules and pathways to exert an anti-cancer effect. In conclusion, Lupeol significantly reduces tumor volume and weight. Combining Lupeol with other chemotherapy agents shows promise for enhancing anti-cancer effects. However, high variability among studies and evidence of publication bias suggest caution in interpreting results.
科研通智能强力驱动
Strongly Powered by AbleSci AI