Kianmehr Shima, Vahabirad Mohammad, Seghatoleslam Atefeh, Sadeghi Erfan, Kiani Roozbeh, Ghasemi Hadi
Department of Clinical Biochemistry, Hamadan University of Medical Sciences School of Medicine, Hamadan, Iran.
Department of Biochemistry, Shiraz University of Medical Sciences School of Medicine, Shiraz, Iran.
Urol Res Pract. 2024 Oct 21;50(3):148-153. doi: 10.5152/tud.2024.24024.
Transforming growth factor beta (TGF-β) is a member of the growth factor superfamily that clinical studies address its association with bladder cancer invasion, progression, and metastasis. The present systematic review and meta-analysis aimed to explore the prognostic significance of TGF-β expression in bladder cancer patients.
The major international databases, including PubMed, Web of Science, Embase, and Scopus, were searched for full-text literature citations. The hazard ratio (HR) with a 95% CI as the effect size was applied as the appropriate summarized statistic. We used a random-effects model using the DerSimonian and Laird method to estimate the pooled effect size. To assess the heterogeneity among trials, the I-square (I 2 ) statistic and Cochran's Q test were used. Forest and funnel plots were drawn to respectively demonstrate the findings and detect any existing publication bias.
This meta-analysis included 3 studies that met the criteria and included 535 patients. The combined HR for the selected studies was 2.250 (95% CI=(1.411, 3.586), P< .001) and no significant heterogeneity was detected between trials (I 2=58.63, P=.089). Furthermore, no severe asymmetry was seen within the funnel plot, indicating a lack of potential publication bias.
Our findings suggest that TGF-β expression can remarkably predict a worse prognosis in patients with bladder cancer. The results of the present meta-analysis may be validated through further updated reviews and additional relevant investigations in future studies.
转化生长因子β(TGF-β)是生长因子超家族的成员,临床研究探讨了其与膀胱癌侵袭、进展和转移的关系。本系统评价和荟萃分析旨在探讨TGF-β表达在膀胱癌患者中的预后意义。
检索主要国际数据库,包括PubMed、Web of Science、Embase和Scopus,以获取全文文献引用。以危险比(HR)及其95%置信区间(CI)作为效应量,采用适当的汇总统计量。我们使用DerSimonian和Laird方法的随机效应模型来估计合并效应量。为评估各试验间的异质性,使用I²统计量和Cochran Q检验。绘制森林图和漏斗图,分别展示研究结果并检测是否存在发表偏倚。
该荟萃分析纳入了3项符合标准的研究,共535例患者。所选研究的合并HR为2.250(95%CI =(1.411,3.586),P <.001),各试验间未检测到显著异质性(I² = 58.63,P =.089)。此外,漏斗图内未观察到严重不对称,表明不存在潜在的发表偏倚。
我们的研究结果表明,TGF-β表达可显著预测膀胱癌患者的不良预后。本荟萃分析的结果可能需要通过未来研究中进一步更新的综述和其他相关调查来验证。