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Indexed/Abstracted in: Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
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Zhe ZHAO, Jing XUE, Xinrui ZHAO, Jingjing LU, Peishu LIU
Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
INTRODUCTION: Autophagy has been reported to play important roles in tumorigenesis. To investigate the association between autophagy-related proteins, beclin 1 and LC3, with prognostic value and clinical characteristics of ovarian cancer, we provided the first meta-analysis.
EVIDENCE ACQUISITION: Databases including PubMed, Embase, and CNKI (up to August 2016) were searched for eligible studies, using keywords such as “beclin 1”, “beclin-1”, “Becn 1”, “Becn-1”, “Atg6”, “LC3”, “ovarian cancer”, “ovarian carcinoma”, “ovarian neoplasm”, “ovarian tumor”, “ovary cancer”, “ovary carcinoma”, “ovary neoplasm”, “ovary tumor”. Random-effects model was used to combine effect sizes. Higgins I2 value was used to examine heterogeneity between studies. Sensitivity analysis was used to investigate the heterogeneity and the stability of the results. Egger’s test and Harbord test were used to examine publication bias.
EVIDENCE SYNTHESIS: A total of 8 studies including 872 patients were eligible for meta-analysis. The results showed expressions of both beclin 1 (OR=0.498, 95%CI=0.298-0.832) and LC3 (OR=0.308, 95%CI=0.142-0.668) were associated with FIGO stage (FIGO I/II versus FIGO III/IV).However, we didn’t find any association between expressions of beclin 1 with overall survival (HR=0.678, 95%CI=0.434-1.058), age (OR=0.965, 95%CI=0.473-1.967), lymph node metastasis (OR=0.517, 95%CI=0.218-1.227), pathological classification (OR=0.895, 95%CI=0.649-1.233) and differentiation (OR=0.571, 95%CI=0.261-1.247). Similarly, no relationship was found between LC3 with age (OR=0.947, 95%CI=0.399-2.248), pathological classification (OR=0.821, 95%CI=0.410-1.644), and differentiation (OR=0.432, 95%CI=0.118-1.580).
CONCLUSIONS: Autophagy-related proteins might be important markers of ovarian cancer progression. However, due to the limited number of the original studies, well-designed, large-scale, and high-quality studies are needed to get more valuable information for further investigation.