Integrative analysis from multi-center studies identifies a weighted gene co-expression network analysis-based Tregs signature in ovarian cancer.

Ovarian cancer (OC) is a malignancy associated with poor prognosis and has been linked to regulatory T cells (Tregs) in the immune microenvironment. Nevertheless, the association between Tregs-related genes (TRGs) and OC prognosis remains incompletely understood. The xCell algorithm was used to analyze Tregs scores across multiple cohorts. Weighted gene co-expression network analysis (WGCNA) was utilized to identify potential TRGs and molecular subtypes. Furthermore, we used nine machine learning algorithms to create risk models with prognostic indicators for patients. Reverse transcription-quantitative polymerase chain reaction and immunofluorescence staining were used to demonstrate the immunosuppressive ability of Tregs and the expression of key TRGs in clinical samples. Our study found that higher Tregs scores were significantly correlated with poorer overall survival. Recurrent patients exhibited increased Tregs infiltration and reduced CD8+ T cell. Moreover, molecular subtyping using seven key TRGs revealed that subtype B exhibited higher enrichment of multiple oncogenic pathways and had a worse prognosis. Notably, subtype B exhibited high Tregs levels, suggesting immune suppression. In addition, we validated machine learning-derived prognostic models across multiple platform cohorts to better distinguish patient survival and predict immunotherapy efficacy. Finally, the differential expression of key TRGs was validated using clinical samples. Our study provides novel insights into the role of Tregs in the immune microenvironment of OC. We identified potential therapeutic targets derived from Tregs (CD24, FHL2, GPM6A, HOXD8, NAP1L5, REN, and TOX3) for personalized treatment and created a machining learning-based prognostic model for OC patients, which could be useful in clinical practice.

G-5555 synergized miR-485-5p to alleviate cisplatin resistance in ovarian cancer cells via Pi3k/Akt signaling pathway.

The present study was meant for the discovery of the underlying functions of miR-485-5p in ovarian cancer concerning cisplatin resistance in vitro. RT-qPCR assessed the miR-485-5p expression in ovarian cancer cell lines, normal cells and cisplatin-resistant Cell line OVCA433-CR. After OVCA433-CR treated with 0,3,5umol/L cisplatin, miR-485-5p expressions were determined. MTT observed the cell cytotoxicity in OVCA433-CR after regulation of miR-485-5p. Targets can predicted the putative binding between miR-485-5p and PAK1 and Luciferase Assay verified this. RT-qPCR decided the inhibitory effect in between. MTT tested the cytotoxicity in different combinations of miR-485-5p and PAK1. Western Blot tested the phosphorylation of Pi3k and Akt in response to miR-485-5p and PAK1 interplay. We evaluated the role of Pi3k/Akt signaling in regulation of miR-485-5p and cisplatin resistance with Wortmannin. miR-485-5p was lower expressed in ovarian cancer cells than normal ones and even lower in OVCA433-CR than OVCA433. As the cisplatin concerntration increased, miR-485-5p decreased. miR-485-5p mimics induced lower cisplatin resistance while miR-485-5p inhibitor caused higher resistance. PAK1 targeted miR-485-5p and inhibited miR-485-5p. PAK1 inhibitor helped to lower the resistance to cisplatin caused by miR-485-5p upregulation. miR-485-5p mimics silenced Pi3k/Akt signaling and PAK1 inhibitor aggravated the silencing. Inhibition of Pi3k/Akt signaling increased miR-485-5p, thereby decreasing the cisplatin-resistance in OVCA433-CR. miR-485-5p decreased cisplatin resistance in ovarian cancer cells via Pi3k/Akt signaling, suggesting that miR-485-5p upregulation might alleviate the cisplatin resistance in ovarian patients.

Research and development of safety management information system for neonatal bathroom and its clinical application: (A STROBE-compliant article).

We developed a bathroom safety management information system to decrease adverse nursing events, and observed the application of the self-developed safety management information system in neonatal bathroom.A total of 3482 newborns receiving neonatal bath and rooming in between May 2015 and May 2017, were enrolled in this study. Of the 3482 newborns, 1727 that did not use the safety management information system from May 1, 2015 to May 31, 2016, were considered as control group; and other 1755 that used the safety management information system from June 1, 2016 to May 31, 2017 were entered in observation group. The accident rate of adverse nursing events, the duration to check wristbands, response time of urgency call, quantitative data recording for nursing procedures, and pregnant women's and their families' satisfaction degree were compared between the 2 groups.The management information system possesses 4 functions including personal identification, nursing operation quantification, monitoring alarm and music function, and guidance on specialized knowledge and skills. The accident rate of adverse nursing events was significantly lower in the observation than in the control group (P < .05). The duration to check wristbands and the response time of urgency call were all significantly shorter in the observation group than in the control group (all P < .05). Quantitative data recording was significantly better in the observation than in the control group (P < .05). Satisfaction degree was significantly higher in the observation group (96.47%) than in the control group (89.69%) (P < .05). The wireless transmission information was exact and safe, and the system was sensitive and reliable.The system not only is clinically practical but also can enhance the safety of newborns and improve pregnant women's and their families' satisfaction degree.

The long non-coding RNA ANRIL promotes proliferation and cell cycle progression and inhibits apoptosis and senescence in epithelial ovarian cancer.

Antisense non-coding RNA in the INK4 locus (ANRIL) has been implicated in a variety of cancers. In the present study, we evaluated ANRIL expression in epithelial ovarian cancer (EOC) and defined its clinical implications and biological functions. ANRIL was overexpressed in EOC tissues relative to normal controls. Overexpression correlated with advanced International Federation of Gynecologists and Obstetricians stage and high histological grade. Multivariate analysis indicated that ANRIL is an independent prognostic factor for overall survival in EOC. Gain- and loss-of-function experiments demonstrated that ANRIL promotes EOC cell proliferation both in vitro and in vivo. The proliferative effect was linked to the promotion of cell cycle progression and inhibition of apoptosis and senescence. Down-regulation of P15INK4B and up-regulation of Bcl-2 by ANRIL may partially explain ANRIL-induced EOC cell proliferation. This study is the first to establish that ANRIL promotes EOC progression and is a potential prognostic biomarker.

Assessment of mouse germinal vesicle stage oocyte quality by evaluating the cumulus layer, zona pellucida, and perivitelline space.

To improve the outcome of assisted reproductive technology (ART) for patients with ovulation problems, it is necessary to retrieve and select germinal vesicle (GV) stage oocytes with high developmental potential. Oocytes with high developmental potential are characterized by their ability to undergo proper maturation, fertilization, and embryo development. In this study, we analyzed morphological traits of GV stage mouse oocytes, including cumulus cell layer thickness, zona pellucida thickness, and perivitelline space width. Then, we assessed the corresponding developmental potential of each of these oocytes and found that it varies across the range measured for each morphological trait. Furthermore, by manipulating these morphological traits in vitro, we were able to determine the influence of morphological variation on oocyte developmental potential. Manually altering the thickness of the cumulus layer showed strong effects on the fertilization and embryo development potentials of oocytes, whereas manipulation of zona pellucida thickness effected the oocyte maturation potential. Our results provide a systematic detailed method for selecting GV stage oocytes based on a morphological assessment approach that would benefit for several downstream ART applications.

Ovarian interstitial blood flow changes assessed by transvaginal colour Doppler sonography: predicting ovarian endometrioid cyst-induced injury to ovarian interstitial vessels.

PURPOSE: To evaluate the blood flow changes and their relationships to microvessel density (MVD) and thrombospondin-1 (TSP-1) by transvaginal colour Doppler sonography (TV-CDS) in the ovarian interstitium to predict ovarian interstitial microvascular injury in the pathological process of ovarian endometrial cysts (OEC). METHODS: TV-CDS was preoperatively performed to detect blood flow changes in 60 patients with 76 ovarian endometrioid cysts, and flow classification and resistance indices (RI) values were recorded for analysis. Ovarian interstitial specimens with blood flow signals were collected for postoperative pathologic examination. TSP-1 protein was evaluated by immunohistochemistry and Western blot, TSP-1 mRNA by reverse transcriptase polymerase chain reaction, microvessels by CD34 antibody, and MVD by image analysis. Thirty age-matched patients with benign ovarian tumours served as controls. RESULTS: Blood flow, most of star-shaped, within ovarian interstitial arteries in the OEC group was diminished; however, arterial spectra exhibited a high-resistance flow manifesting a significantly higher RI compared with that of the control group (P < 0.01). In ovarian interstitial specimens, there were significantly (P < 0.01) lower CD34-MVD and higher TSP-1 protein and mRNA in the OEC group than in the controls. CD34-MVD and TSP-1 showed remarkably negative correlation (rs = -0.76, P < 0.01). RI values correlated negatively with MVD values (rs = -0.91, P < 0.01), but positively with TSP-1 (rs = 0.81, P < 0.01), while flow classification correlated positively with MVD values (rs = 0.66, P < 0.01), but negatively with TSP-1 (rs = -0.54, P < 0.01). CONCLUSIONS: Changes in CD34-MVD and TSP-1 reflected ovarian interstitial microvascular injury of OEC, pathologically supported the findings of blood flow changes within ovarian interstitial arteries, and prospectively predicted OEC-induced ovarian interstitial vessel injury. This has important clinical value: early treatment, instead of allowing the cyst to become bigger, is of great importance for OEC patients, because a greater number of functional tissue blood vessels would be destroyed as the disease progresses.