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Meta-analysis of Correlation between Peripheral Serum MIC-1 level and Lung Cancer


 Lung cancer (LC) is a common malignant tumor with high morbidity and mortality. The development of new molecular markers and the early diagnosis of LC and the exploration of emerging targeted therapies are of great significance. Therefore, this study systematically evaluates the
 correlation between peripheral serum MIC-1 levels and LC. Search PubMed, Web of Science, Medline and other databases, the search time is from the establishment of the database to July 2021. The LC group included LC patients, the Non-cancer group included patients with benign lung diseases
 (BLD), and the control group included healthy people. The serum MIC-1 levels of LC group and control group, LC group and Non-cancer group were compared respectively, and the correlation between serum MIC-1 and clinical characteristics of LC patients was evaluated and analyzed, and the ROC
 curve of MIC-1 in prediction of LC. Finally, 5 articles were included, including 1179 patients with LC, 109 patients with BLD, and 1020 healthy people. Meta-analysis results: the level of MIC-1 in LC group was overtop that in healthy group, and the difference was obvious [SMD=1.97, 95%CI (1.35,
 2.59), PC0.00001]. The level of MIC-1 in LC group was overtop that in Non-cancer group, and the difference was obvious [SMD=382.97,95%CI (313.74, 452.19), PC0.00001]. The descriptive evaluation analyzes the correlation between MIC-1 and the clinical characteristics of LC group, and the results
 show that MIC-1 has a certain correlation with the stage of LC group. The AUC of serum MIC-1 in the identification of LC group and the control group was greater than 0.5. The AUC value of MIC-1 in the diagnosis of LC was 0.851-0.906, and the best sensitivity range was 63.50%-99.00%. The best
 specificity is in the range of 70.4%-95.80%. The Meta-analysis indicated that the serum MIC-1 level in LC group is overtop that in BLD and healthy people, and has a obvious correlation with LC stage staging; and the ROC curve shows that it has important significance in the diagnosis and prognosis
 of LC.
