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Activation of the aminopeptidase (AP) activity of leukotriene A 4 hydrolase (LTA 4 H) presents a potential therapeutic strategy for resolving chronic inflammation. Previously, ARM1 and derivatives were found to activate the AP activity using the alanine-p-nitroanilide (Ala-pNA) as a reporter group in an enzyme kinetics assay. As an extension of this previous work, novel ARM1 derivatives were synthesized using a palladium-catalyzed Ullmann coupling reaction and screened using the same assay. Analogue 5, an aminopyrazole (AMP) analogue of ARM1, was found to be a potent AP activator with an AC 50 of 0.12 μM. An X-ray crystal structure of LTA 4 H in complex with AMP was refined at 2.7 Å. Despite its AP activity with Ala-pNA substrate, AMP did not affect hydrolysis of the previously proposed natural ligand of LTA 4 H, Pro-Gly-Pro (PGP). This result highlights a discrepancy between the hydrolysis of more conveniently monitored chromogenic synthetic peptides typically employed in assays and endogenous peptides. The epoxide hydrolase (EH) activity of AMP was measured in vivo and the compound significantly reduced leukotriene B 4 (LTB 4 ) levels in a murine bacterial pneumonia model. However, AMP did not enhance survival in the murine pneumonia model over a 14-day period. A liver microsome stability assay showed metabolic stability of AMP. The results suggested that accelerated Ala-pNA cleavage is not sufficient for predicting therapeutic potential, even when the full mechanism of activation is known., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Masson SAS. All rights reserved.)

The patch with a superlubricated surface shows great potential for the prevention of postoperative adhesion during soft tissue repair. However, the existing patches suffer from the destruction of topography during superlubrication coating and lack of pro-healing capability. Herein, we demonstrate a facile and versatile strategy to develop a Janus nanofibrous patch ( J -NFP) with antiadhesion and reactive oxygen species (ROS) scavenging functions. Specifically, sequential electrospinning is performed with initiators and CeO 2 nanoparticles (CeNPs) embedded on the different sides, followed by subsurface-initiated atom transfer radical polymerization for grafting zwitterionic polymer brushes, introducing superlubricated skin on the surface of single nanofibers. The poly(sulfobetaine methacrylate) brush-grafted patch retains fibrous topography and shows a coefficient of friction of around 0.12, which is reduced by 77% compared with the pristine fibrous patch. Additionally, a significant reduction in protein, platelet, bacteria, and cell adhesion is observed. More importantly, the CeNPs-embedded patch enables ROS scavenging as well as inhibits pro-inflammatory cytokine secretion and promotes anti-inflammatory cytokine levels. Furthermore, the J -NFP can inhibit tissue adhesion and promote repair of both rat skin wounds and intrauterine injuries. The present strategy for developing the Janus patch exhibits enormous prospects for facilitating soft tissue repair.

RNA methyltransferase nucleolar protein p120 (NOP2), commonly referred to as NOP2/Sun RNA methyltransferase family member 1 (NSUN1), is involved in cell proliferation and is highly expressed in various cancers. However, its role in high-grade serous ovarian cancer (HGSOC) remains unclear. Our study investigated the expression of NOP2 in HGSOC tissues and normal fimbria tissues, and found that NOP2 was significantly upregulated in HGSOC tissues. Our experiments showed that NOP2 overexpression promoted cell proliferation in vivo and in vitro and increased the migration and invasion ability of HGSOC cells in vitro . Furthermore, we identified Rap guanine nucleotide exchange factor 4 (RAPGEF4) as a potential downstream target of NOP2 in HGSOC. Finally, our findings suggest that the regulation of NOP2 and RAPGEF4 may depend on m 5 C methylation levels.

Severe endometrial injury caused by invasive uterine operation and/or endometritis often results in intrauterine adhesions (IUAs), which are named Asherman's syndrome (AS), further leading to menstrual disorders, infertility and severe complications during pregnancy and delivery. IUAs or AS has been a challenging medical problem. Stem cells are a promising therapeutic modality for endometrial regeneration in patients with refractory AS. Here, we developed a new system of adipose-derived mesenchymal stem cells (ADMSCs) implantation on silk fibroin/polycaprolactone (SF/PCL) electrospun nanofibers (ADMSCs-SF/PCL) and used it in the damaged endometrium of a rat model. After SF/PCL enhanced the proliferation of transplanted ADMSCs, the results showed that the ADMSCs-SF/PCL system could recover morphology, promote regeneration of the glands and angiogenesis by increasing CD31 expression, and reverse endometrial fibrosis by decreasing TGF-β/Smad expression. In addition, the ADMSCs-SF/PCL system also increased the expression of differentiation and decidualization markers, including HOXA11, HAND2 and FOXO1. Most importantly, the ADMSCs-SF/PCL system could remodel the special immune microenvironment, resulting in dominant NK infiltration and a normal Th1/Th2 bias in the endometrium. Moreover, this treatment had a lower but more persistent effect than estrogen. Thus, the ADMSCs-SF/PCL system enhanced endometrial restoration, suggesting a promising strategy for damaged endometrial regeneration and immune microenvironment remodeling., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Author(s).)

Background: RNA methylation is a significant form of post-transcriptional modification that has been implicated in various diseases, including cancers. One prominent type of RNA methylation is 5-Methylcytosine (m 5 C), which primarily regulates RNA stability, transcription, and translation. However, the role of m 5 C-related gene regulation in cell adhesion within uterine corpus endometrial carcinoma (UCEC) remains unexplored. Therefore, the objective of this study was to investigate the association between RNA m 5 C methylation and UCEC and develop a prognostic predictive model to forecast survival outcomes in UCEC patients., Methods: The RNA datasets were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The dataset was used to explore the interaction relationships of m 5 C regulators in UCEC. Unsupervised clustering analysis identified clusters with distinct m 5 C modification patterns. Different clusters underwent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment level analysis to investigate the effects of pathways related to m 5 C methylation, which were further validated through in vitro cellular experiments. A prognostic predictive model was developed using the least absolute shrinkage and selection operator (LASSO) and multivariate regression analysis., Results: Two clusters with distinct m 5 C modification patterns were identified using unsupervised cluster analysis. Furthermore, the prognosis of cluster 2 was found to be worse. Enrichment analysis showed alterations in cell adhesion-related pathways in both clusters, as well as differences between the clusters. Through this analysis, we identified 25 genes with significant prognostic value. Finally, a prognostic predictive model comprising NSUN2 and YBX1 was constructed., Conclusions: In conclusion, diverse m 5 C modification patterns display distinct cell adhesion properties in UCEC, which are correlated with prognosis and offer significant potential as prognostic markers for UCEC assessment. We developed a prognostic predictive model to accurately predict the prognosis of UCEC., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-742/coif). The authors have no conflicts of interest to declare., (2023 Translational Cancer Research. All rights reserved.)

Ovarian cancer (OC) is one of the common malignant tumors that seriously threaten women's health, and there is a lack of clinical prognostic predictors, while m5c and lncRNA have been shown to be predictive of multiple cancers, including OC. Therefore, our goal was to construct a risk model for OC based on m5c-related lncRNA.340 m5c-related lncRNA were identified and a novel risk model of OC ground on nine m5C-related lncRNA was constructed using LASSO-COX regression analysis. Kaplan-Meier analysis showed there was a significant difference in prognosis between risk groups. We established a nomogram which was a good predictor of overall survival. In addition, GSEA was enriched in multiple pathways and immune function analysis suggested that immune infiltration varies depending on the risk group. In vitro experiments show that AC005562.1, a key lncRNA of the risk model, is highly expressed in OC cells and promotes OC cell proliferation. Finally, we further explored the potential biological markers of m5c-related lncRNA in OC with WGCNA analysis and established a ceRNA network. In conclusion,we have developed a reliable m5c-related prediction model and performed systematic validation and exploration of various aspects. These results can be used for the assessment of OC prognosis and the discovery of novel biomarkers., (© 2023. The Author(s).)

Background: The key biochemical feature of malignant tumor is the conversion of energy metabolism from oxidative phosphorylation to glycolysis, which provides sufficient capacity and raw materials for tumor cell rapid growth. Our study aims to construct a prognostic signature for ovarian cancer based on lactate metabolism-related genes (LMRGs)., Methods: Data of ovarian cancer and non-diseased ovarian data were downloaded from TCGA and the GTEx database, respectively. LMRGs were obtained from GeneCards and MSigDB databases, and the differentially expressed LMRGs were identified using limma and DESeq2 R packages. Cox regression analysis and LASSO were performed to determine the LMRGs associated with OS and develop the prognostic signature. Then, clinical significance of the prognostic signature in ovarian cancer was assessed., Results: A total of 485 differentially expressed LMRGs in ovarian tissue were selected for subsequent analysis, of which 324 were up-regulated and 161 were down regulated. We found that 22 LMRGs were most significantly associated with OS by using the univariate regression analysis. The prognostic scoring model was consisted of 12 LMRGs (SLCO1B3, ERBB4, SLC28A1, PDSS1, BDH1, AIFM1, TSFM, PPARGC1A, HGF, FGFR1, ABCC8, TH). Kaplan-Meier survival analysis indicated that poorer overall survival (OS) in the high-risk group patients (P<0.0001). This prognostic signature could be an independent prognostic indicator after adjusting to other clinical factors. The calibration curves of nomogram for the signature at 1, 2, and 3 years and the ROC curve demonstrated good agreement between the predicted and observed survival rates of ovarian cancer patients. Furthermore, the high-risk group patients have much lower expression level of immune checkpoint-TDO2 compared with the low-risk group (P=0.024)., Conclusions: We established a prognostic signature based on LMRGs for ovarian cancer, and highlighted emerging evidence indicating that this prognostic signature is a promising approach for predicting ovarian cancer prognosis and guiding clinical therapy., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Xiang, Su, Wu and Zhou.)

The aminopeptidase activity (AP) of the leukotriene A 4 hydrolase (LTA 4 H) enzyme has emerged as a therapeutic target to modulate host immunity. Initial reports focused on the benefits of augmenting the LTA 4 H AP activity and clearing its putative pro-inflammatory substrate Pro-Gly-Pro (PGP). However, recent reports have introduced substantial complexity disconnecting the LTA 4 H modulator 4-methoxydiphenylmethane (4MDM) from PGP as follows: (1) 4MDM inhibits PGP hydrolysis and subsequently inhibition of LTA 4 H AP activity, and (2) 4MDM activates the same enzyme target in the presence of alternative substrates. Differential modulation of LTA 4 H by 4MDM was probed in a murine model of acute lung inflammation, which showed that 4MDM modulates the host neutrophilic response independent of clearing PGP. X-ray crystallography showed that 4MDM and PGP bind at the zinc binding pocket and no allosteric binding was observed. We then determined that 4MDM modulation is not dependent on the allosteric binding of the ligand, but on the N-terminal side chain of the peptide. In conclusion, our study revealed that a peptidase therapeutic target can interact with its substrate and ligand in complex biochemical mechanisms. This raises an important consideration when ligands are designed to explain some of the unpredictable outcomes observed in therapeutic discovery targeting LTA 4 H., (© 2022. The Author(s).)

Background: Cervical cancer is the fourth most frequent gynecological malignancy across the world. Immunotherapies have proved to improve prognosis of cervical cancer. However, few studies on immune-related prognostic signature had been reported in cervical cancer., Methods: Raw data and clinical information of cervical cancer samples were downloaded from TCGA and UCSC Xena website. Immunophenoscore of immune infiltration cells in cervical cancer samples was calculated through the ssGSEA method using GSVA package. WGCNA, Cox regression analysis, LASSO analysis, and GSEA analysis were performed to classify cervical cancer prognosis and explore the biological signaling pathway., Results: There were eight immune infiltration cells associated with prognosis of cervical cancer. Through WGCNA, 153 genes from 402 immune-related genes were significantly correlated with prognosis of cervical cancer. A 15-gene signature demonstrated powerful predictive ability in prognosis of cervical cancer. GSEA analysis showed multiple signaling pathways containing Programmed cell death ligand-1 (PD-L1) expression and PD-1 checkpoint pathway differences between high-risk and low-risk groups. Furthermore, the 15-gene signature was associated with multiple immune cells and immune infiltration in tumor microenvironment., Conclusion: The 15-gene signature is an effective potential prognostic classifier in the immunotherapies and surveillance of cervical cancer., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Su, Jin, Bu, Xiang, Zhou and Jin.)

Objective: This study aimed to determine the risk factors associated with the necessity of laparoscopic scar defect repair for cesarean scar pregnancy (CSP)., Methods: We retrospectively analyzed 237 patients with CSP who were treated by ultrasound-guided suction curettage and/or laparoscopy in our hospital from April 2012 to November 2019. A total of 199 of these patients underwent ultrasound-guided suction curettage without uterine scar defect repair, while 38 of these patients underwent laparoscopic resection and uterine scar defect repair. We analyzed various clinical variables and compared the efficacy of treatment between the two groups., Results: Gestational age, the maximum transverse diameter (MTD) of the gestational sac, myometrial thickness, the operation time, intraoperative blood loss, and the duration of the hospital stay were significantly different between the two groups. Gestational age, the MTD of the gestational sac, and myometrial thickness were independent risk factors for laparoscopic repair., Conclusions: Gestational age, the MTD of the gestational sac, and myometrial thickness are important factors associated with the necessity for laparoscopic repair of a uterine scar defect.

Ovarian cancer is one of the most lethal gynecologic malignancies. It has been shown that PARP inhibitors can selectively target BRCA-mutated ovarian cancer and exert some effects on ovarian cancer without BRCA mutations. However, the mechanism is still unclear. In this study, wild-type BRCA ovarian cancer cells (A2780 and SKOV3) were used. Our results showed that using a PARP inhibitor (olaparib or AG14361) alone significantly inhibited the proliferation of A2780 cells but negligibly inhibited the proliferation of SKOV3 cells. We used RNA sequencing to explore differentially expressed genes and found that PARP inhibitors increased LDH-A in SKOV3 cells, which was confirmed by RT-PCR. Oxamate (a specific inhibitor of LDH-A) was used to investigate whether LDH-A inhibition enhances the suppressive effects of PARP inhibitors on ovarian cancer without BRCA mutations. CCK-8 assays, scratch assays and Transwell assays were used to determine cell proliferation, cell migration ability and invasion ability, respectively. Both olaparib and AG14361 significantly inhibited the proliferation/invasion ability of A2780 cells but not SKOV3 cells. Inhibition of LDH-A can remarkably promote the inhibitory effects of PARP inhibitors on both A2780 and SKOV3 cells. Thus, high expression level of LDH-A influenced the suppressive effects of PARP inhibitors on ovarian cancer with wild-type BRCA, and LDH-A inhibition notably enhanced this effect.

Background: The homologous recombination (HR) pathway defects in cancers induced abrogation of cell cycle checkpoints, resulting in the accumulation of DNA damage, mitotic catastrophe, and cell death. Cancers with BRCA1/2 loss and other accumulation of similar genomic scars resulting in HRD displayed increased sensitivity to chemotherapy. Our study aimed to explore HRD score genetic mechanisms and subsequent clinical outcomes in human cancers, especially ovarian cancer. Methods: We analyzed TCGA data of HRD score in 33 cancer types and evaluated HRD score distribution and difference among tumor stages and between primary and recurrent tumor tissues. A weighted gene co-expression network analysis (WGCNA) was performed to identify highly correlated genes representing essential modules contributing to the HRD score and distinguish the hub genes and significant pathways. We verified HRD status predicting roles in patients' overall survival (OS) with univariate and multivariate Cox regression analyses and built the predicting model for patient survival. Results: We found that the HRD score increased with the rise in tumor stage, except for stage IV. The HRD score tended to grow up higher in recurrent tumor tissue than in their primary counterparts ( p = 0.083). We constructed 15 co-expression modules with WGCNA, identified co-expressed genes and pathways impacting the HRD score, and concluded that the HRD score was tightly associated with tumor cells replication and proliferation. A combined HRD score ≥42 was associated with shorter OS in 33 cancer types (HR = 1.010, 95% CI: 1.008-1.011, p < 0.001). However, in ovarian cancer, which ranked the highest HRD score among other cancers, HRD ≥42 cohort was significantly associated with longer OS (HR = 0.99, 95% CI: 0.98-0.99, p < 0.0001). We also built a predicting model for 3 and 5 years survival in HGSC patients. Conclusion: A quantitative HRD score representing the accumulated genomic scars was dynamically increasing in proliferating tumor cells since the HRD score was tightly correlated to tumor cell division and replication. We highlighted HRD score biomarker role in prognosis prediction of ovarian cancer., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Su, Liu, Wu, Xiang and Xi.)

The occurrence and progression of ovarian cancer are closely related to genetics and environmental pollutants. Poly(ADP-ribose) polymerase (PARP) inhibitors have been a major breakthrough in the history of ovarian cancer treatment. PARP is an enzyme responsible for post-translational modification of proteins and repair of single-stranded DNA damage. PARP inhibitors can selectively inhibit PARP function, resulting in a synthetic lethal effect on tumor cells defective in homologous recombination repair. However, with large-scale application, drug resistance also inevitably appears. For PARP inhibitors, the diversity and complexity of drug resistance mechanisms have always been difficult problems in clinical treatment. Herein, we mainly summarized the research progress of DNA damage repair and drug resistance mechanisms related to PARP inhibitors and the impact of environmental pollutants on DNA damage repair to aid the development prospects and highlight urgent problems to be solved., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Ovarian cancer is the leading cause of death among gynecological malignancies. Immunotherapy has demonstrated potential effects in ovarian cancer. However, few studies on immune-related prognostic signatures in ovarian cancer have been reported. This study aimed to identify hub genes associated with immune infiltrates to provide insight into the immune regulatory mechanisms in ovarian cancer., Methods: Raw data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and University of California, Santa Cruz (UCSC) Xena websites. Single-sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network analysis (WGCNA) were used to identify hub genes. Kaplan-Meier analysis and differential expression analysis were applied to explore the real hub genes., Results: Through ssGSEA and WGCNA, 7 hub genes (LY9, CD5, CXCL9, IL2RG, SLAMF1, SLAMF6, and SLAMF7) were identified. Finally, LY9 and SLAMF1 were recognized as the real hub genes in immune infiltrates of ovarian cancer. LY9 and SLAMF1 are classified as SLAM family receptors involved in the activation of hematopoietic cells and the pathogenesis of multiple malignancies. Furthermore, 12 lncRNAs and 43 miRNAs significantly related to the 2 hub genes were applied to construct a lncRNA-miRNA-mRNA ceRNA network. The lncRNA-miRNA-mRNA ceRNA network shows upstream regulatory sites of the 2 hub genes., Conclusions: These findings improve our understanding of the regulatory mechanism of and reveal potential immune checkpoints for immunotherapy for ovarian cancer., (© 2021. The Author(s).)

Background: Ovarian cancer is one of the most lethal malignant gynecologic tumors worldwide. We aimed to identify critical hallmarks of the surface epithelium between normal ovaries and serous ovarian carcinomas and then obtain the hub genes associated with these critical hallmarks., Methods: We chose GSE36668, GSE54388 and GSE69428 as data sources and then determined the common gene sets through gene set enrichment analysis (GSEA) to explore essential hallmarks and hub genes driving normal ovarian cells to evolve progressively into a neoplastic state. The differentially expressed genes (DEGs) extracted separately in each gene set were analyzed again through the Metascape website. Kaplan-Meier plotter was used to obtain significant prognostic information. The hub genes were obtained through protein-protein interaction (PPI) network by Cytoscape. Hub genes were confirmed to have higher mRNA and protein expression levels in ovarian cancer tissues than in normal tissues through public databases [Gene Expression Profiling Interactive Analysis (GEPIA) and The Human Protein Atlas]. Correlation analysis of six hub genes showed a strong correlation via R., Results: We obtained 11 common hallmarks from GSEA of the three mentioned datasets and 22 hub genes that showed a significant association with poor survival., Conclusions: Not only the gene sets enriched by GSEA but also the hub genes extracted by the PPI network indicate that the most fundamental trait of ovarian cancer cells involves their ability to sustain chronic proliferation., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tcr-20-2604). The authors have no conflicts of interest to declare., (2021 Translational Cancer Research. All rights reserved.)

Objective: To observe the effects of human umbilical cord mesenchymal stem cells (UC-MSCs) on the proliferation and apoptosis of human ovarian cancer cell SKOV3.
 Methods: Transwell co-culture was used to observe the targeted homing effect of UC-MSCs on ovarian cancer cells. MTT assay was used to detect the inhibitory effect of UC-MSCs conditioned medium on SKOV3 proliferation, and Annexin V-FITC/PI double staining was used to detect the apoptotic rate. Real-time PCR was used to detect the expression levels of Ki-67, Bcl-2 and Bax genes-relevant to proliferation and apoptosis of SKOV3 cells.
 Results: UC-MSCs targeted SKOV3 cells in vitro. MTT assay showed that UC-MSCs conditioned medium significantly inhibited the proliferation of SKOV3 cells (P<0.01). Annexin V-FITC/PI double staining showed that the apoptotic rate in the 75% conditioned medium group was significantly higher than that in the control group (P<0.05). Real-time PCR showed that the expression of proliferation-related gene Ki-67 decreased significantly (P<0.01). The apoptosis-related gene Bcl-2 expression was decreased dramatically (P<0.01), and Bax expression was increased significantly (P<0.01).
 Conclusion: UC-MSCs can target ovarian cancer cells in vitro, inhibit the proliferation of SKOV3 cells by regulating the expression of Ki-67, and promote the apoptosis of SKOV3 cells by regulating the expression of Bcl-2 and Bax.

Lactate, which is regulated by gene expression, is largely believed to favor tumor growth and survival. Elevated lactate dehydrogenase (LDH) is a negative prognostic biomarker because it is a key enzyme involved in cancer metabolism. Our previous study revealed that special AT‑rich‑binding protein 1 (SATB1), a genome‑organizing protein, was strongly associated with high metastasis rates in ovarian cancer. However, its underlying molecular mechanisms in ovarian cancer are unclear. In the present study, we investigated whether SATB1 modulated LDH expression and examined the relationship between SATB1 and LDH in ovarian cancer. We employed transient siRNA‑mediated knockdown of SATB1 in ovarian cancer and explored the effects of this knockdown on the expression levels of key glucose metabolism‑related enzyme genes (G6PD, LDH, MDH1, PFK1 and TGM1) and the glucose metabolism‑related protein monocarboxylate transporter 1 (MCT1). We comprehensively analyzed the cellular and molecular role of LDH in ovarian cancer to determine whether it could be a conventional clinicopathological parameter. SATB1 knockdown significantly downregulated both LDH and MCT1 levels and markedly upregulated BRCA1 and BRCA2 levels in ovarian cancer cells (P<0.05). Serum LDH levels in ovarian cancer patients were significantly higher than those in patients with benign ovarian tumors (P<0.05). LDH levels at different stages and grades differed significantly in ovarian cancer. Survival curves revealed that higher LDH expression was correlated with shorter survival (P<0.05). SATB1 may reprogram energy metabolism in ovarian cancer by regulating LDH and MCT1 levels to promote metastasis. Serum LDH levels presented diagnostic accuracy with high specificity and may have potential as a conventional clinicopathological parameter for ovarian cancer.

Purpose: The relationship between endometrial carcinoma and cellular metabolism is unknown. In endometrial cancer, mutation rate of PTEN has been reported very high. Malate dehydrogenase 2 (MDH2) is one of the isoforms of malate dehydrogenase, which is involved in citric acid cycle in mitochondria. Our study aimed to investigate the role MDH2 played in PTEN-regulated endometrial carcinoma., Methods: To reveal the expression of MDH2 and the co-localization of PTEN and MDH2, immunohistochemistry and immunofluorescent staining were used. Western blot, Real-time PCR, RNA interference and overexpression plasmid DNA transfection were performed to investigate the relationship between PTEN and MDH2 as well as the impact of E2 on the expression of PTEN and MDH2, while CCK8, transwell and flow cytometric analysis were carried out to evaluate the proliferation, migration and invasion and apoptosis of endometrial carcinoma cell lines., Results: Our results demonstrated that as a metabolism related enzyme, MDH2 was overexpressed in endometrial carcinoma tissues and related to the grade of the cancer (P=.038). Western blot, Real-time PCR and immunofluorescent staining revealed MDH2 inhibited the expression of PTEN and was co-localized with PTEN in the cytoplasm of endometrial carcinoma. Proliferation, transwell and apoptosis assay suggested that MDH2 enhanced the proliferation, migration and invasion but inhibited the apoptosis of endometrial cancer cell line through suppressing PTEN. Furthermore, E2 inhibited the expression level of PTEN but enhanced MDH2 via GPR30., Conclusions: Our study demonstrated that MDH2, stimulated by estrogen, was involved in the development of PTEN-regulated endometrial carcinoma through GPR30-related pathway., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)

As a new hormone, betatrophin has gained attention as a potential new target to combat insulin resistance (IR) and diabetes. Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder among women of the reproductive age with long term sequelae which include IR and metabolic syndrome. The aim of this study is to evaluate the circulating plasma betatrophin levels in overweight/obese or lean women with or without PCOS and also to elucidate possible correlations with anthropometric and metabolic parameters. Thirty-two patients with PCOS as well as fifty-three control subjects were enrolled after obtaining informed written consent. Clinical and biochemical parameters of all subjects were determined. Plasma adiponectin, GLP-1 and betatrophin levels were measured by ELISA. Plasma betatrophin levels were significantly increased in lean patients with PCOS compared with lean and obese controls. Moreover, in PCOS group, betatrophin levels were significantly negatively correlated with waist hip ratio (WHR), fasting insulin level (FINS) and HOMA-IR, whereas, significantly positively correlated with adiponectin level. Multiple regression analysis showed that HOMA-IR was an independent factor influencing serum betatrophin levels. Further follow-up studies are needed to highlight whether and how increased betatrophin secretion play an important role in IR and carbohydrates metabolism in patients with PCOS.

Purpose: The monocyte-to-lymphocyte ratio (MLR) has been shown to be associated with the prognosis of various solid tumors. This study sought to evaluate the important value of the MLR in ovarian cancer patients., Methods: A total of 133 ovarian cancer patients and 43 normal controls were retrospectively reviewed. The patients' demographics were analyzed along with clinical and pathologic data. The counts of peripheral neutrophils, lymphocytes, monocytes, and platelets were collected and used to calculate the MLR, neutrophil-to-lymphocyte ratio (NLR). and platelet-to-lymphocyte ratio (PLR). The optimal cutoff value of the MLR was determined by using receiver operating characteristic curve analysis. We compared the MLR, NLR, and PLR between ovarian cancer and normal control patients and among patients with different stages and different grades, as well as between patients with lymph node metastasis and non-lymph node metastasis. We then investigated the value of the MLR in predicting the stage, grade, and lymph node positivity by using logistic regression. The impact of the MLR on overall survival (OS) was calculated by Kaplan-Meier method and compared by log-rank test., Results: Statistically significant differences in the MLR were observed between ovarian cancer patients and normal controls. However, no difference was found for the NLR and PLR. Highly significant differences in the MLR were found among patients with different stages (stage I-II and stage III-IV), grades (G1 and >G1), and lymph node metastasis status. The MLR was a significant and independent risk factor for lymph node metastasis, as determined by logistic regression. The optimal cutoff value of the MLR was 0.23. We also classified the data according to tumor markers (CA125, CA199, HE4, AFP, and CEA) and conventional coagulation parameters (International Normalized Ratio [INR] and fibrinogen). Highly significant differences in CA125, CA199, HE4, INR, fibrinogen levels, and lactate dehydrogenase were found between the low-MLR group (MLR ≤ 0.23) and the high-MLR group (MLR > 0.23). Correspondingly, dramatic differences were observed between the two groups in OS., Conclusion: Our results show that the peripheral blood MLR before surgery could be a significant predictor of advanced stages, advanced pathologic grades, and positive lymphatic metastasis in ovarian cancer patients., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)

Special AT-rich sequence binding protein 1 (SATB1) is a master chromatin organizer that has recently been reported to directly upregulate metastasis-associated genes and downregulate tumor suppressor genes. However, its clinical significance in the case of ovarian cancer remains unclear. In the current study, we assessed the expression levels of SATB1 in ovarian cancer and aimed to show whether it may be a conventional clinicopathological parameter. Epithelial ovarian cancer (n=91), borderline cystadenoma (n=13) and normal ovarian background tissues (n=8) were collected immediately following excision during surgery. The mRNA expression levels of SATB1, VEGF-A and MMP-9 were determined using real-time quantitative PCR. Western blotting and immunohistochemical staining were carried out to detect the protein expression levels of SATB1. Expression levels within the ovarian cancer specimens were compared to the normal background tissues and analyzed against FIGO stage, lymph node involvement and histological type. SATB1 mRNA in malignant and borderline ovarian cystadenoma tissues was 6.74- and 5.70-fold higher compared with normal ovarian tissue, respectively (P<0.01). Western blot analysis revealed that a strong positive band of SATB1 expression was present in ovarian cancer tissues. Immunohistochemical staining showed that the positive expression rates of SATB1 in ovarian cancer, borderline ovarian cystadenoma and normal ovarian tissues were 69.2, 61.5 and 0% (P<0.01), respectively. SATB1 expression increased concomitantly with increasing FIGO stage and lymph node involvement. Survival curves showed that a higher SATB1 expression was correlated with shorter survival. Our results provide evidence that SATB1 expression is significantly associated with progression, metastasis and prognosis of epithelial ovarian cancer. SATB1 may therefore serve as a conventional clinicopathological parameter of ovarian cancer.

Cancer-related deaths are still the most fearsome threaten to human health. It is necessary to develop an innovative and active strategy for the prophylactic immunization against tumorigenesis. Multiple lines of evidence have demonstrated that cancer stem cells (CSCs) are the initiating cells of tumor formation, as well as the source of local recurrence and distant metastases. Mesenchymal stem cells (MSCs), the adult pluripotent progenitors of multiple mesenchymal lineages, have an unusual tropism to preclinical tumor lesions. Both MSCs and CSCs or populations of tumor-initiating cells may also have similar reactogenicity or immunogenicity. Based on the information given above, a hypothesis is generated that MSCs may possess a potential of cellular vaccine for bio-prevention against tumorigenesis via eliciting cross-immunity and inducing active antibodies., (Copyright © 2010 Elsevier Ltd. All rights reserved.)