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Metformin and letrozole caused a statistically significant regression of endometriotic implants. The effects of metformin on endometriotic tissue were at least comparable to letrozole.

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Purpose. We aimed to determine the predictive value of several hematological markers of inflammation on the presence/absence of cervical cancer and also to determine their ability in discriminating precancerous cervical pathologies from cervical cancer. Materials and Methods. In this study, patients who presented to Acıbadem Kayseri Hospital between May 2010 and June 2018 were evaluated. Forty patients with low-grade squamous intraepithelial lesions (LSIL), 40 patients with high-grade squamous intraepithelial lesions (HSIL), and 30 patients with cervical cancer (CC) were retrospectively included in this study. A control group of 70 healthy volunteers with normal cervical cytology was also included in the study. Results. The neutrophil-to-lymphocyte ratio (NLR) was significantly higher in patients with CC than in controls. The platelet-to-lymphocyte ratio (PLR) was significantly higher in patients with CC compared to those with LSIL and HSIL diagnoses and also controls (p<0.001). Logistic regression analysis revealed that age (OR: 1.075, 95% CI: 1.020–1.132, p=0.007), NLR (OR: 1.643, 95% CI: 1.009–3.142, p=0.047), and PLR (OR: 1.032, 95% CI: 1.003–1.062, p=0.029) were predictors for the presence of CC. ROC curve analysis revealed that both NLR and PLR were predictive of CC with a cutoff value of 2.02 for NLR (71% sensitivity and 60% specificity, AUC: 0.682, p=0.004) and 126.7 for PLR (83% sensitivity and 69% specificity, AUC: 0.752, p<0.001). Conclusion. In addition to patients’ age, determination of NLR and PLR values, which are simple, inexpensive, and readily available markers of systemic inflammation, may help in decision making precancerous pathologies of the cervix.

This study showed that even single dose ME therapy was effective in the prevention of post- operative i.p. adhesion formation.

Serum leptin and HOMA score have not been found to be valid indicators in ovarian tumors. However, the present data suggest that low concentrations of IGF-I and IGFBP-3 could be a reliable marker to differentiate benign from malignant ovarian tumors. Further experimental studies are warranted to understand the impact of the IGF-I system in ovarian carcinogenesis.