Abstract
Objective: This meta-analysis aimed to comprehensively evaluate the diagnostic use of erythrocyte membrane protein band 4.1like3 (EPB41L3) methylation detection in cervical cancer (CC) and its precancerous lesions. Methods: CNKI, Wanfang, Cochrane Library, PubMed, and Ovid databases were searched using a combination of subject headings and free words. Pertinent data were retrieved after screening for inclusion and exclusion criteria, and the quality of the included studies was evaluated using QUADAS-2 criteria. The appropriate software was used for heterogeneity analysis and combined effect size calculation. Additionally, sensitivity analysis was used to evaluate the robustness of the combined results, and meta-regression and subgroup analysis were conducted to investigate the origins of heterogeneity. Results: This meta-analysis included six studies, including 525 healthy individuals, 182 cervical intraepithelial neoplasia 1 (CIN1) samples, 182 CIN2 samples, 281 CIN3 samples, and 226 CC samples. EPB41L3 methylation detection for CIN2 and above lesions demonstrated combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and the area under the curve of the comprehensive receiver operating characteristic curve of 0.67, 0.76, 3.19, 0.41, 7.60, and 0.80, respectively; CIN3 and above lesions demonstrated these evaluations at 0.73, 0.84, 4.35, 0.33, 23.94, and 0.90, respectively. Meta-regression analysis revealed that the population, time, sample type, detection method, literature quality, and sample size were not significant sources of heterogeneity affecting the combined diagnostic efficacy of CIN2 and above lesions (p > 0.05). Subgroup analysis revealed higher combined diagnostic values of CIN2 and above lesions in retrospective studies, tissue samples, and Chinese populations, with DORs of 41.03, 14.59, and 13.70, respectively. Conclusion: EPB41L3 methylation demonstrated a relatively low diagnostic performance in CC and precancerous lesions. However, it merits further investigation as a potential biomarker. Integrating it with multiple gene detection, human papillomavirus testing, and ThinPrep liquid-based cytology test examination is recommended to explore improved diagnostic strategies for CC and its precancerous lesions.
