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[Circulating endothelial microparticles for prediction of therapeutic effect in advanced lung cancer]
1Department of Respiratory Medicine, Second Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Abstract:
Objective: To explore the correlation of endothelial microparticles and progression of advanced lung cancer, and its predictive value in therapeutic effect. Methods: The data of patients with advanced lung cancer in the Oncology Department of Frist Medical Center of Chinese PLA General Hospital from October 2018 to May 2019 were collected. Blood routine, lactate dehydrogenase (LDH), tumor markers, and circulating endothelial microparticles (CD105+ EMPs) were measured before treatment. Flow cytometry was used to detect the number of CD105+ EMPs, and multivariate regression analysis was used to study the predict factors of advanced lung cancer progression. Results: A total of 88 patients were recruited in the study, including 60 in the objective response (OR) group and 28 in the disease progression (PD) group. There were no significant differences in gender, age, basic diseases, tumor stage, cancer type and therapeutic intervention between two groups, while there were significant differences in tumor marker, LDH, total microparticles (MPs), and endothelial microparticles (CD105+ EMPs) between two groups (P<0.05). In the multivariate regression analysis, CD105+ EMPs ≥70 events/μl (OR=3.623, 95%CI=1.345~9.761, P=0.011) and LDH (OR=1.008, 95%CI=1.001~1.015, P=0.032) were able to predict the progression of advanced lung cancer. A predictive model of advanced lung cancer progression was established based on the multivariate regression results. The area under the receiver operating characteristic curve (AUC) was 0.729 (95%CI=0.620~0.837, P=0.001), the sensitivity was 32.1%, the specificity was 91.6%, the positive predictive value was 64.2%, and the negative predictive value was 74.3%. Conclusion: Circulating endothelial microparticles are associated with the progression of advanced lung cancer, it combined with LDH can predict the therapeutic effect of advanced lung cancer.
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