Purpose: This study aimed to investigate the inflammatory-immune cells in the peripheral blood of women with polycystic ovary syndrome (PCOS) and assessed the potential correlation between inflammatory-immune cells and infertility in PCOS women. Materials and Methods: In this case–control study, the profiles of lymphocyte subsets were analyzed by flow cytometry. White blood cells (WBC), neutrophils (Neu), lymphocytes, Ferriman–Gallwey (F–G) score, testosterone, prolactin, follicle-stimulating hormone, luteinizing hormone, fasting blood glucose, and fasting plasma insulin were measured, together with body mass index. Association between inflammatory-immune cells and PCOS was evaluated. Moreover, inflammatory-immune cells of the PCOS women with infertility were evaluated, and the relative operating characteristic (ROC) curve and cutoff values were calculated. Results: The number of WBC, Neu, and lymphocytes was higher in PCOS women than controls (P< 0.05). The percentages of total T lymphocytes, CD4+T, and NK were significantly increased in the PCOS group (P< 0.001). The CD4/CD8 ratio was obviously elevated for increasing CD4+T (P< 0.05). Consequently, T%, CD4+T%, and NK% were found to be the independent risk factors of PCOS by ROC curve and multivariate logistic regression analysis. Furthermore, only NK% was significantly higher in PCOS women with infertility than those who had PCOS without infertility (P< 0.001). To diagnose infertility in PCOS, the cutoff value of NK% was calculated as 16.43%. Conclusion: These findings suggest that the pathogenesis of PCOS is related to immune cells including T, CD4+T, and NK cells. NK cells are likely to be a potential predictive factor for PCOS women with infertility.

Sun P, et al. J Gynecol Oncol. 2017 Mar;28(5):e50. https://doi.org/10.3802/jgo.2017.28.e50

Purpose: This study assessed the predictive value of the preoperative systemic immune-inflammatory index (SII) for lymph node metastasis (LNM) in endometrial cancer (EC) patients. Methods: We retrospectively included 392 EC patients between January 2013 and January 2019. Data on clinical indicators including age, body mass index (BMI), menopause, serum inflammatory immune index, serum tumor markers, history of diabetes and hypertension, stage, histological type, and myometrial invasion (MI) were collected. The association between clinical indicators and LNM was evaluated. Results: The results indicated that neutrophil (NE), monocyte (MO) counts, SII, cancer antigen 125 (CA125), cancer antigen 153 (CA153), cancer antigen 199 (CA199), and the expression of estrogen receptor (ER) and Ki67 were higher in EC patients with LNM than in those without LNM (P< 0.05). Lymph vascular space invasion (LVSI) was also associated with LNM (P< 0.05). Consequently, the SII, CA125, CA153 and LVSI were found to be independent risk factors for LNM, and a nomogram including these indicators was performed. The ROC curve analysis showed that compared with a single index, the combination of the SII, CA125, CA153 and LVSI significantly improved the efficiency of diagnosing LNM in EC patients (AUC=0.865, P < 0.001). Moreover, the SII was significantly associated with age, menopause, and FIGO stage (P < 0.05). Further logistic regression analysis suggested that elevated serum SII was an independent risk factor for MI and progression to a higher pathological grade in young premenopausal EC patients. In addition, elevated SII was an independent risk factor for advanced EC progression in age ≥ 55 or postmenopausal EC patients. Conclusion: An elevated SII is an independent risk factor for LNM in patients with EC. In addition, the SII can be used as a predictor of MI and higher pathological grade in young premenopausal EC patients.

Purpose: Currently, the associations between type-specific high-risk human papillomavirus (HR-HPV) viral loads and cervical lesions are still inconsistent. We aimed to assess the type-specific HR-HPV viral load as a risk triage indicator for development of high-grade squamous intraepithelial lesion or worse (≥HSIL). Patients and methods: A total of 19,446 women who underwent primary screening for cervical cancer using Cervista^® HR-HPV and cytology assays were enrolled. The viral loads of 1,396 HR-HPV-positive specimens confirmed by Cervista^® assay were detected by BioPerfectus Multiplex Real-Time PCR assay. The correlation between viral loads and cervical lesions was analyzed. The optimal cutoffs of individual HR-HPV viral loads used to predict ≥HSIL were determined from the receiver operating characteristic curve. A logistic regression model was used to analyze the relationship between covariates and the probability of ≥HSIL. Results: The viral loads of HPV-16, -31, -33, -52, and -58 were positively correlated with the severity of the cervical lesion, which was significantly elevated in patients with ≥HSIL, whereas those of HPV-18, -45, -56, -59, and other types were not. The optimal cutoffs of the log₁₀-transformed viral loads for HPV-16, -31, -33, -52, and -58 in identifying ≥HSIL were 4.26, 4.46, 4.48, 4.36, and 4.26 copies per 10,000 cells, respectively. Furthermore, multivariate analysis indicated that type-specific viral loads of HPV-16, -31, -33, -52, and -58 exceeding the cutoffs could be independent risk factors for the incidence of ≥HSIL. Conclusion: The BioPerfectus Multiplex Real-Time PCR viral load assay provides viable triage for ≥HSIL when using appropriate cutoff levels.

Purpose: To explore the targeted therapy of estrogen-related receptor α (ERRα) in endometrial cancer (EC) cells and its potential mechanisms. Methods: The mRNA and protein expression levels of ERRα and estrogen receptor α (ERα) were detected by qPCR and Western blotting in RL-952, AN3-CA, HEC-1A, and HEC-1B EC cell lines. After treatment with the ERRα-specific antagonist XCT790 or infection with lentivirus-mediated small interfering RNA (siRNA) targeting the ERRα (siRNA-ERRα), cell proliferation and apoptosis were evaluated by MTS assay and flow cytometry. After treatment with siRNA-ERRα, the expression profiles of transcription factors (TFs) were analyzed by protein/DNA arrays in EC cells. Results: The relative mRNA levels of ERRa in RL-952 (1±0.0831) and AN3-CA (1.162±0.0325) were significantly higher than those in HEC-1A (0.3081±0.0339) and HEC-1B (0.1119±0.0091) (P<0.05), and similar results were observed for ERRα protein levels. A higher ratio of ERa/ERRa was observed in ERα-positive RL-952 (10-fold) and ANC-3A (8.5-fold) cells, whereas a lower ratio was observed in ERα-negative HEC-1A (3.75-fold) and HEC-1B cells (0-fold). Both – exogenous XCT790 and endogenous siRNA-ERRa – can decrease the expression of ERRα, thereby inhibiting proliferation but promoting apoptosis in both ERα-positive and -negative EC cells. The XCT790 presented higher proliferation-inhibition and apoptosis rates in the ERα-positive than ERα-negative cells, whereas the siRNA-ERRα exhibited higher proliferation-inhibition and apoptosis rates in the ERα-negative than in ERα-positive cells. In total, 3 upregulated and 17 downregulated TFs were screened out by knocked-down expression of ERRα in all EC cells. Among them, the upregulated TFs organic cation transporter 3/4(Oct3/4), hepatic nuclear factor 4 (HNF4), HNF4 and chicken ovalbumin upstream TF (COUP-TF) as well as downregulated transcription factor EB (TFEB) were found to be statistically significant (P<0.05). Conclusion: Targeting ERRα provides a promising novel endocrine therapeutic strategy.

Kang Y, et al. J Gynecol Oncol. 2018 Nov;30(3):e29. https://doi.org/10.3802/jgo.2019.30.e29