Anti-Medroxy progesterone Acetate polyclonal antibody

BACKGROUND Ovarian metastasis is a special type of distant metastasis unique to female patients with gastric cancer. The pathogenesis of ovarian metastasis is incompletely understood, and the treatment options are controversial. Few studies have predicted the risk of ovarian metastasis. It is not clear which type of gastric cancer is more likely to metastasize to the ovary. A prediction model based on risk factors is needed to improve the rate of detection and diagnosis. AIM To analyze risk factors of ovarian metastasis in female patients with gastric cancer and establish a nomogram to predict the probability of occurrence based on different clinicopathological features. METHODS A retrospective cohort of 1696 female patients with gastric cancer between January 2006 and December 2017 were included in a single center, and patients with distant metastasis other than ovary and peritoneum metastasis were excluded. Potential risk factors for ovarian metastasis were analyzed using univariate and multivariable logistic regression. Independent risk factors were chosen to construct a nomogram which received internal validation. RESULTS Ovarian metastasis occurred in 83 of 1696 female patients. Univariate analysis showed that age, Lauren type, whether the primary lesion contained signet-ring cells, vascular tumor emboli, T stage, N stage, the expression of estrogen receptor, the expression of progesterone receptor, serum carbohydrate antigen 125 and the neutrophil-to-lymphocyte ratio were risk factors for ovarian metastasis of gastric cancer (all P < 0.05). Multivariate analysis showed that age = 50 years, Lauren typing of non-intestinal, gastric cancer lesions containing signet-ring cell components, N stage > N2, positive expression of estrogen receptor, serum carbohydrate antigen 125 > 35 U/mL, and a neutrophil-to-lymphocyte ratio > 2.16 were independent risk factors (all P < 0.05). The independent risk factors were constructed into a nomogram model using R language software. The consistency index after continuous correction was 0.840 [95% confidence interval: (0.774-0.906)]. After the internal self-sampling (Bootstrap) test, the calibration curve of the model was obtained with an average absolute error of 0.007. The receiver operating characteristic curve of the obtained model was drawn. The area under the curve was 0.867, the maximal Youden index was 0.613, the corresponding sensitivity was 0.794, and the specificity was 0.819. CONCLUSION The nomogram model performed well in the prediction of ovarian metastasis. Attention should be paid to the possibility of ovarian metastasis in high-risk populations during re-examination, to ensure early detection and treatment.

The follicular hierarchy in broiler breeder chicken ovary is often deranged due to excessive ovarian follicular recruitment, resulting in a condition that resembles polycystic ovary syndrome (PCOS) in women. Metformin is widely prescribed to correct PCOS and has been shown to affect granulosa cell functions in humans and rodent models. The objectives of this study are to determine the effects of metformin on signal transduction pathways, gene expression related to steroidogenesis, and progesterone secretion from granulosa cells isolated from the most recently recruited preovulatory and prehierarchical follicles of broiler breeder chickens. Granulosa cells were treated with 0, 1, 10, or 20 mM of metformin in the presence of FSH. The abundance of pAMPK, pACC, pERK, and pAkt was determined by Western blotting. The expression of genes related to progesterone biosynthesis was quantified by qPCR. Progesterone concentrations in culture media were quantified by ELISA. Metformin treatment did not have an effect on the abundance of pAMPK and pACC in prehierarchical follicles but significantly decreased the abundance of pERK and pAkt in a dose-dependent manner in preovulatory and prehierarchical follicles. The expression of genes related to steroidogenesis such as FSHR, STAR, CYP11A1, HSD3B, and progesterone secretion was significantly decreased in response to metformin treatment in a dose-dependent manner. Our data su est that metformin treatment attenuates progesterone secretion via AMPK-independent pathways in granulosa cells of prehierarchical and preovulatory follicles of broiler breeder hens. Further studies are required to determine if metformin administration could ameliorate ovarian dysfunction in obese broiler breeder hens.