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1.
Biomed Pharmacother ; 125: 109568, 2020 May.
Article in English | MEDLINE | ID: mdl-32058209

ABSTRACT

Long non-coding RNAs (lncRNAs) exert critical effects in the process of malignant cancers and lncRNA LOXL1 Antisense RNA 1 (LOXL1-AS1) has been demonstrated to be a pro-oncogene in multiple tumor types. In the current study, we illuminated the precise roles of LOXL1-AS1 in the development of ovarian cancer. LOXL1-AS1 is significantly overexpressed in ovarian carcinoma tissue compared with adjacent non-cancerous sample. The luciferase reporter gene assay reveals the relationship between LOXL1-AS1 and miR-18b-5p, miR-18b-5p and its target gene, Vacuolar ATPase Assembly Factor VMA21 (VMA21). Transfection of LOXL1-AS1 siRNA or miR-18b-5p mimics inhibits the growth and aggressive phenotypes of SKOV3 and OVCAR3 cell. Furthermore, miR-18b-5p suppresses ovarian carcinoma cell proliferation and metastasis by targeting VMA21 and LOXL1-AS1 regulates ovarian carcinoma cell growth and metastasis through sponging miR-18b-5p. These findings suggest that lncRNA LOXL1-AS1 promotes ovarian cancer cell growth, migratory and invasiveness via modulating miR-18b-5p/VMA21 axis.


Subject(s)
MicroRNAs/genetics , Ovarian Neoplasms/metabolism , Ovarian Neoplasms/pathology , RNA, Antisense/genetics , RNA, Long Noncoding/genetics , Vacuolar Proton-Translocating ATPases/metabolism , Animals , Carcinoma, Ovarian Epithelial/genetics , Cell Line, Tumor , Cell Movement/genetics , Cell Proliferation/genetics , Female , Humans , Mice , Mice, Nude , MicroRNAs/metabolism , Neoplasm Invasiveness/genetics , Ovarian Neoplasms/genetics , RNA, Antisense/metabolism , RNA, Long Noncoding/metabolism , RNA, Small Interfering
2.
Gynecol Obstet Invest ; 81(3): 220-4, 2016.
Article in English | MEDLINE | ID: mdl-26461523

ABSTRACT

AIMS: This study aims to explore the independent predictors of gestational diabetes mellitus (GDM) in Chinese women with polycystic ovary syndrome (PCOS). METHODS: This cross-sectional study analyzed primigravid women with PCOS and classified them as those with and without GDM. Independent risk factors and model performance were analyzed using multivariate logistic regression and the area under the curve (AUC) of receiver operating characteristic (ROC), respectively. RESULTS: Maternal body mass index, waist circumference, waist-to-hip ratio (WHR), fasting glucose, insulin, sex hormone-binding globulin (SHBG), homeostasis model assessment-insulin resistance (HOMA-IR) before pregnancy, gestation weight gain before 24 weeks and the incidence of family history of diabetes were different in the 2 groups. Logistic regression analysis showed that pre-pregnancy WHR, SHBG, HOMA-IR and gestation weight gain before 24 weeks were the independent predictors of GDM. ROC curve analysis confirmed that gestation weight gain before 24 weeks (AUC 0.767, 95% CI 0.688-0.841), pre-pregnant WHR (AUC 0.725, 95% CI 0.649-0.802), HOMA-IR (AUC 0.711, 95% CI 0.632-0.790) and SHBG levels (AUC 0.709, 95% CI 0.625-0.793) were the strong risk factors. CONCLUSIONS: In Chinese women with PCOS, factors of gestation weight gain before 24 weeks, pre-pregnant WHR, HOMA-IR and SHBG levels are strongly associated with subsequent development of GDM.


Subject(s)
Blood Glucose/analysis , Diabetes, Gestational/diagnosis , Polycystic Ovary Syndrome/complications , Adult , Area Under Curve , Body Mass Index , China , Cross-Sectional Studies , Diabetes, Gestational/physiopathology , Female , Gestational Age , Humans , Insulin/blood , Insulin Resistance , Logistic Models , Polycystic Ovary Syndrome/physiopathology , Pregnancy , ROC Curve , Risk Factors , Sex Hormone-Binding Globulin , Waist Circumference , Waist-Hip Ratio , Weight Gain
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