Ovarian cancer

摘要： Ovarian malignancies are the most complicated type among all gynecological cancers.Their etiology is yet unknown;however,they are a heterogeneous,rapidly growing,and very fatal group of cancers.Chronic inflammation and angiogenesis appear to have major contributions in the development and progression of ovarian malignancies.Angiogenesis and inflammation are involved in the pathogenesis of ovarian cancer.Vitamin D3(VitD3)has shown to have anti-inflammatory and anti-angiogenic properties in different types of cancers.The anti-inflammatory and anti-angiogenesis effects of VitD3 on ovarian cancer are investigated in this review.

摘要： The global burden of ovarian cancer is gradually increasing while patients still suffer from relatively limited treatment options.With recent advances in the decoding of the molecular landscape of ovarian cancer,more options in targeted strategy were offered and can therefore be tailored in different clinical settings for individual patient.Targeting of the abnormal angiogenesis process is the first significant clinical breakthrough which revolutionized the treatment of advanced ovarian cancer,followed by the advent of poly-(ADP)-ribose polymerase(PARP)inhibitors.These two strategies represented by bevacizumab and olaparib respectively underwent tests of numerous clinical trials.In recent years,immune checkpoint inhibitors(ICIs)have been incorporated into the blueprint of ovarian cancer treatment though the effectiveness still left much to be desired.Herein,we systematically outlined recent advances in targeted therapy for ovarian cancer and summarized the landmark clinical trials for each targeted therapy including angiogenesis inhibitors,PARP inhibitors and ICIs.

摘要： Aim: Glutathione (GSH) is an antioxidant, protecting cell against toxicity of reactive oxygen species (ROS). Data showed that GSH might play roles in malignancy including ovarian cancer (OC), and, thus, we attempted to determine the clinical significance of GSH and effects of erastin (an inhibitor of GSH synthesis) in OC. Methods: OC tissues were taken from 41 OC patients, and cancer-tissue GSH level was measured with GSH Assay Kit. Survival curves were carried out by the Kaplan-Meier method and evaluated using the log-rank test. Multivariable Cox proportional hazard risk regression model was performed to screen the independent factor affecting the prognosis of OC patients. In vitro effect of erastin was studied using OC cell lines. Cell viability, GSH levels and whole (cytosolic and lipid) ROS production were assessed. Results: Patients with high OC-tissue-GSH levels had an apparently lower progression free survival (PFS) and overall survival (OS) compared with those with low GSH levels. The GSH levels were independent factors for predicting the PFS and OS. The basal ROS level was inversely proportional to GSH levels in OC cell lines. The basal GSH levels were important for estimating the sensitivity to erastin. Reduction of intracellular GSH levels increased whole ROS, which caused cell deaths. Conclusions: Data suggested that the GSH levels could be a candidate of prognostic biomarkers and that erastin might be worth studying as a new therapeutic drug in OC.

摘要： Progression,relapse,and therapy resistance are the most challenging features of cancer therapy that have been postulated to be driven by Cancer Stem Cell(CSC)population.This enigmatic subpopulation of cancer cells has therefore emerged as promising therapeutic candidate.We earlier reported enrichment of CSC-like side population(SP)with increasing resistance towards Cisplatin and Paclitaxel either alone or in combination in epithelial ovarian cancer(EOC)cells.This SP population is a small proportion of the total population of cancer cells characterised with high expression of drug transporters,a unique feature of stem cells and thereby can be isolated through their efflux properties of DNA binding dyes.While the bulk non-SP(NSP)population of the cancer cells lack overexpression of the drug transporters and thus can be identified as the dye containing population.In this study,we show that increased expression of Runt related transcription factor 1(RUNX1)maintains undifferentiated state of CSC-like SP cells through upregulation of inhibitors of DNA binding/differentiation genes(ID1 and ID3)in late cisplatinpaclitaxel resistant cells.Higher RUNX1 expression was found to correlate with decreased median overall survival and disease-free survival in The Cancer Genome Atlas(TCGA)data set of high grade serous ovarian cancer(HGSOC)patients.The protein-protein interaction network analysis of 397 upregulated genes in RUNX1-high samples of TCGA data show significant enrichment of pathways known to negatively regulate CSC differentiation.Intriguingly RUNX1 inhibition not only induces CSC differentiation but also downregulates anti-apoptotic protein BCL2 in both SP and NSP cells and potentiates cytotoxic effects of Cisplatin-Paclitaxel in chemoresistant EOC cells.Inhibition of BCL2 through Venetoclax treatment,a small molecule BH3 mimic,sensitized these cells to platinum taxol treatment.Altogether,our data reveal new regulatory roles by RUNX1 to modulate CSC differentiation via ID1 and ID3 and to promote chemoresistance through BCL2 upregulation.

摘要： The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage.Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted.The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator(LASSO)method.A risk score model based on the prognostic pseudogenes was also constructed.The pseudogene-mRNA regulatory networks were established using correlation analysis,and their potent roles in the ovarian cancer progression were uncovered by functional enrichment analysis.Lastly,ssGSEA and ESTIMATE algorithms was used to evaluate the levels of immune cell infiltrations in cancer tissues and explore their relationship with risk signature.A prediction model of 10-pseudogenes including RPL10P6,AC026688.1,FAR2P4,AL391840.2,AC068647.2,FAM35BP,GBP1P1,ARL4AP5,RPS3AP2,and AMD1P1 was established.The 10-pseudogenes signature was demonstrated to be an independent prognostic factor in patient with ovarian cancer in the random set(hazard ratio[HR]=2.512,95%confidence interval[CI]=2.03–3.11,P<0.001)and total set(HR=1.71,95%CI=1.472–1.988,P<0.001).When models integrating with age,grade,stage,and risk signature,the Area Under Curve(AUC)of the 1-year,3-year,5-year and 10-year Receiver Operating Characteristic curve in the random set and total set were 0.854,0.824,0.855,0.805 and 0.679,0.697,0.739,0.790,respectively.The results of functional enrichment analysis indicated that the underlying mechanisms by which these pseudogenes influence cancer prognosis may involve the immune-related biological processes and signaling pathways.Correlation analysis showed that risk signature was significantly correlated with immune cell infiltration and immune score.We identified a novel 10-pseudogenes signature to predict the survival of patients with ovarian cancer,and that may serve as novel possible prognostic biomarkers and therapeutic targets for ovarian cancer.

摘要： Smart healthcare has become a hot research topic due to the contemporary developments of Internet of Things(IoT),sensor technologies,cloud computing,and others.Besides,the latest advances of Artificial Intelligence(AI)tools find helpful for decision-making in innovative healthcare to diagnose several diseases.Ovarian Cancer(OC)is a kind of cancer that affects women’s ovaries,and it is tedious to identify OC at the primary stages with a high mortality rate.The OC data produced by the Internet of Medical Things(IoMT)devices can be utilized to differentiate OC.In this aspect,this paper introduces a new quantum black widow optimization with a machine learningenabled decision support system(QBWO-MLDSS)for smart healthcare.The primary intention of the QBWO-MLDSS technique is to detect and categorize the OC rapidly and accurately.Besides,the QBWO-MLDSS model involves a Z-score normalization approach to pre-process the data.In addition,the QBWO-MLDSS technique derives a QBWO algorithm as a feature selection to derive optimum feature subsets.Moreover,symbiotic organisms search(SOS)with extreme learning machine(ELM)model is applied as a classifier for the detection and classification of ELM model,thereby improving the overall classification performance.The design of QBWO and SOS for OC detection and classification in the smart healthcare environment shows the study’s novelty.The experimental result analysis of the QBWO-MLDSS model is conducted using a benchmark dataset,and the comparative results reported the enhanced outcomes of the QBWO-MLDSS model over the recent approaches.

摘要： Background: 70% of ovarian cancer cases are diagnosed at an advanced stage (III or IV) of the disease and, in turn, with a high prevalence of peritoneal carcinosis and ascites, which leads to progressive malnutrition in patients, with the consequent deterioration of their general condition. There is a very important relationship between nutritional status, quality of life, survival, and the ability to tolerate multidisciplinary treatment of peritoneal carcinosis. Methods: A phase II, open-label, single-center, non-randomised clinical trial was conducted that included 36 patients with advanced disease who were administered the nutritional supplement Ocoxin, 30 ml twice a day, beginning one week before chemotherapy (CT) based on carboplatin/paclitaxel, of which they receive three cycles with neoadjuvant intent. Ocoxin treatment was continued during chemotherapy and for three weeks after completion of the last cycle, as well as during any periods for which this treatment was discontinued due to toxicity. The effect of Ocoxin on the quality of life was assessed through the QLQ C30 and QLQ OV28 questionnaires from the start of treatment until the end of the follow-up period. In addition, the Karnofsky Index and nutritional parameters were assessed. Results: There were no significant differences between adverse events versus baseline values, except in leukocytes, lymphocytes, neutrophils, ALT, and AST. There was no deterioration of the QoL scales, except for those related to the effects of chemotherapy and alopecia. Conclusions: Ocoxin as an adjuvant to chemotherapy appears to improve better tolerance to chemotherapy, showed a good safety profile, and improved quality of life. For further information on Ocoxin neoadjuvant therapy benefits, a phase III clinical trial will be needed.

摘要： Ovarian cancer is one of the most common gynecological malignancies and can occur at any time in a woman's life.This paper analyzed the etiology and pathogenesis of ovarian cancer in traditional Chinese medicine,and simply sorted out the methods and means of oral administration and external application of traditional Chinese medicine in the treatment of ovarian cancer,hoping to provide new therapeutic ideas for the treatment of the disease.

摘要： BACKGROUND Urinary tract infection(UTI)is a common type of postoperative infection following cytoreductive surgery for ovarian cancer,which severely impacts the prognosis and quality of life of patients.AIM To develop a machine learning assistant model for the prevention and control of nosocomial infection.METHODS A total of 674 elderly patients with ovarian cancer who were treated at the Department of Gynaecology at Jingzhou Central Hospital between January 31,2016 and January 31,2022 and met the inclusion criteria of the study were selected as the research subjects.A retrospective analysis of the postoperative UTI and related factors was performed by reviewing the medical records.Five machine learning-assisted models were developed using two-step estimation methods from the candidate predictive variables.The robustness and clinical applicability of each model were assessed using the receiver operating characteristic curve,decision curve analysis and clinical impact curve.RESULTS A total of 12 candidate variables were eventually included in the UTI prediction model.Models constructed using the random forest classifier,support vector machine,extreme gradient boosting,and artificial neural network and decision tree had areas under the receiver operating characteristic curve ranging from 0.776 to 0.925.The random forest classifier model,which incorporated factors such as age,body mass index,catheter,catheter intubation times,blood loss,diabetes and hypoproteinaemia,had the highest predictive accuracy.CONCLUSION These findings demonstrate that the machine learning-based prediction model developed using the random forest classifier can be used to identify elderly patients with ovarian cancer who may have postoperative UTI.This can help with treatment decisions and enhance clinical outcomes.

摘要： BACKGROUND Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy(CRSHIPEC)has shown promising results in improving the survival of ovarian cancer patients.Although the safety profiles of CRS-HIPEC exist,more attention should be paid to gastrointestinal complications,as the procedure involves a considerable proportion of bowel resection and anastomosis.AIM To identify the risk factors for delayed gastric emptying in ovarian cancer treated with CRS-HIPEC.METHODS A cross-sectional study was conducted.According to the inclusion and exclusion criteria,we retrospectively analyzed 77 patients admitted between March 2014 and April 2018 with advanced and recurrent ovarian cancer treated with CRSHIPEC in Beijing Shijitan Hospital of Capital Medical University.Risk factors for delayed gastric emptying were analyzed using univariate analysis.All of the statistically significant variables in the univariate analysis were entered into the multivariable logistic regression model to determine factors independently associated with delayed gastric emptying.RESULTS Among the 77 included patients,36.4%(28/77)had delayed gastric emptying after CRS-HIPEC.The median age and body mass index of all patients were 59 years and 22.83 kg/m^(2),respectively.Preoperative chemotherapy was administered in 55 patients(71%).Sixty-two patients(81%)had a history of at least one previous pelvic surgery.The median operation time and intraoperative hemorrhage volume were 630 min and 600 mL,respectively.Omentectomy was performed in 32 cases of primary ovarian cancer and 24 cases of recurrence.The median peritoneal cancer index was 16.The risk factors for delayed gastric emptying from the univariate analysis were body mass index<23 kg/m2(X2=5.059,P=0.025),history of pelvic surgery(X^(2)=4.498,P=0.034),history of chemotherapy(X^(2)=4.334,P=0.037),operation time≥7 h(X2=4.827,P=0.047),and intraoperative hemorrhage≥800 mL(X^(2)=7.112,P=0.008).Multivariable analysis revealed that age≥70 years(HR=7.127;95%CI 1.122-45.264;P=0.037)and intraoperative hemorrhage≥800 mL(HR=3.416;95%CI 1.067-10.939;P=0.039)were independently associated with postoperative delayed gastric emptying after CRS-HIPEC.CONCLUSION Postoperative gastrointestinal management,including prolonged nasogastric intubation,should be promoted for patients over 70 years or those with intraoperative bleeding exceeding 800 mL.