Purpose The objective of this meta-analysis is to investigate and compare the pregnancy outcomes of laparoscopy and open surgery in the treatment of ovarian tumors during pregnancy. Methods Search was conducted using MEDLINE, EMBASE, and Cochrane Databases from January 1990 to November 2018. A broad search strategy was used to identify studies comparing laparoscopy and open surgery in pregnancy. Inclusion criteria included comparative studies with the quantitative outcome data on gravida. Two authors independently reviewed and assessed for the quality of included studies according to the Newcastle–Ottawa Scale. Data were extracted for fetal loss, preterm delivery, duration of surgery, blood loss and length of hospital stay. Results Nine retrospective trials were identified involving 985 patients. No statistical significance was found in fetal loss between laparoscopy and open surgery (P value = 0.334). The pooled estimate for preterm labor statistically significantly decreased for laparoscopy group (P value = 0.014). Reduced operative blood loss was found in laparoscopy group by 83.81 ml (P value = 0.015). Duration of operation may be longer in the laparoscopy group, but without statistical significance (P value = 0.346). Length of hospital stay was shorter in the laparoscopy group with reduction of 1.95 days (P value < 0.001). Conclusions The available low-grade evidence suggests that laparoscopic surgery might be a feasible alternative for pregnant women with adnexal masses.

Objective There is recent evidence that demonstrates worse oncologic outcomes associated with minimally invasive radical hysterectomy when compared with open radical hysterectomy, particularly in patients with tumors >2 cm. The aim of our study was to retrospectively evaluate the oncological outcomes between laparoscopic and open radical hysterectomy in International Federation of Gynecology and Obstetrics(FIGO) 2009 stage IB1 (FIGO 2009) cervical cancer patients with tumor size ≤2 cm. Methods A retrospective review of medical records was performed to identify patients who underwent either laparoscopic or open radical hysterectomy during January 2010 and December 2018. Inclusion criteria were: (1) histologically confirmed cervical cancer including all histological types; (2) FIGO 2009 stage IB1; (3) tumor size ≤2 cm (determined by pelvic examination, magnetic resonance imaging or transvaginal ultrasound); (4) had undergone radical hysterectomy (type II or III) with pelvic and/or para-aortic lymphadenectomy as primary surgical treatment; (5) had follow-up information. Patients with FIGO 2009 stage IA1 or IA2, tumor size >2 cm, or who received neo-adjuvant chemotherapy before surgery, those with cervical cancer incidentally found after simple hysterectomy, or with insufficient data were excluded. Concurrent comparison between the laparoscopic and open cohorts was made for disease-free survival and overall survival. Results A total of 325 cervical cancer patients were included; of these, 129 patients underwent laparoscopic surgery and 196 patients had open surgery. The median follow-up times were 51.8 months (range 2–115) for laparoscopic surgery and 49.5 months (range 3–108) for open surgery. Patients in the laparoscopic group had significantly worse 5 year disease-free survival than those in the open group (90.4% vs 97.7%; p=0.02). There was no significant difference in 5 year overall survival between groups (96.9% vs 99.4%, p=0.33). The Cox proportional hazards regression analysis indicated that laparoscopic surgery was associated with lower disease-free survival compared with open surgery (adjusted hazard ratio 4.64, 95% CI 1.26 to 17.06; p=0.02). In patients with non-squamous cell carcinoma or with grade II–III, laparoscopic surgery had a significantly worse 5 year disease-free survival compared with the open surgery group (74% vs 100%, p=0.01, and 88.8% vs 98.0%, p=0.02, respectively). Conclusion Laparoscopic radical hysterectomy was associated with worse disease-free survival for stage IB1 (FIGO 2009) cervical cancer patients with tumor size ≤2 cm compared with open radical hysterectomy. Further studies may shed additional light on the impact of minimally invasive surgery in this low-risk patient population.

Vaginal candidiasis (VC) is a common disease of women and the main pathogen is Candida albicans (C. albicans). C. albicans infection incidence especially its drug resistance have become a global health threat due to the existence of C. albicans biofilms and the low bioavailability of traditional antifungal drugs. In recent years, nanomaterials have made great progresses in the field of antifungal applications. Some researchers have treated fungal infections with inorganic nanoparticles, represented by silver nanoparticles (AgNPs) with antifungal properties. Liposomes, polymeric nanoparticles, metal-organic frameworks (MOFs), and covalent organic frameworks (COFs) were also used to improve the bioavailability of antifungal drugs. Herein, we briefly introduced the recent developments on using above nanomaterials to combat C. albicans in antifungal applications.

Objective Lipids have been evaluated for their possible role in cancer survival prediction. The aim of the current study was to investigate the prognostic value of lipids on overall survival for stage IB1-IIA2 cervical cancer patients. Methods A retrospective study including cervical cancer patients with early-stage (FIGO 2009 stage IB1-IIA2) disease was conducted from January 2012 to February 2017. Patients with any history of liver disease or other cancers, and patients who took any medications known to influence lipid metabolism, were excluded. We measured various factors in patients' lipid profiles including total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein, and assessed these four parameters together with clinicopathological features to identify the significant prognostic factors for overall survival. Results A total of 583 patients with median age 53 (range 25–82) years were included. Among them, 283 (48.5%) patients were in FIGO stage IB1, 44 patients (7.6%) in stage IB2, 189 (32.4%) patients in stage IIA1, and the remaining 67 (11.5%) patients were in stage IIA2. Using univariable Cox proportional hazard analysis and subsequent multivariable analysis, total cholesterol, triglycerides, and pelvic lymph node status were shown to be independent prognostic factors for overall survival (p<0.05 for all). Furthermore, the results of the Kaplan–Meier survival curves showed that both the high total cholesterol group and the high triglycerides group were associated with worse overall survival (p=0.002 and p=0.001, respectively) Conclusions Our study showed that total triglycerides and total cholesterol may serve as potential predictors for overall survival in patients with cervical cancer. Cervical cancer patients may benefit from treatments after adjusting their triglycerides and total cholesterol levels.

Background: Cervical cancer (CC) is one of the most common gynaecological cancers. The gene signature is believed to be reliable for predicting cancer patient survival. However, there is no relevant study on the relationship between the glycolysis-related gene (GRG) signature and overall survival (OS) of patients with CC.Methods: We extracted the mRNA expression profiles of 306 tumour and 13 normal tissues from the University of California Santa Cruz (UCSC) Database. Then, we screened out differentially expressed glycolysis-related genes (DEGRGs) among these mRNAs. All patients were randomly divided into training cohort and validation cohort according to the ratio of 7: 3. Next, univariate and multivariate Cox regression analyses were carried out to select the GRG with predictive ability for the prognosis of the training cohort. Additionally, risk score model was constructed and validated it in the validation cohort.Results: Six mRNAs were obtained that were associated with patient survival. The filtered mRNAs were classified into the protective type (GOT1) and the risk type (HSPA5, ANGPTL4, PFKM, IER3 and PFKFB4). Additionally, by constructing the prognostic risk score model, we found that the OS of the high-risk group was notably poorer, which showed good predictive ability both in training cohort and validation cohort. And the six-gene signature is a prognostic indicator independent of clinicopathological features. Through the verification of PCR, the results showed that compared with the normal cervial tissuses, the expression level of six mRNAs were significantly higher in the CC tissue, which was consistent with our findings.Conclusions: We constructed a glycolysis-related six-gene signature to predict the prognosis of patients with CC using bioinformatics methods. We provide a thorough comprehension of the effect of glycolysis in patients with CC and provide new targets and ideas for individualized treatment.

Background: Interferon plays a crucial role in the pathogenesis and progression of tumors. Clear cell renal cell carcinoma (ccRCC) represents a prevalent malignant urinary system tumor. An effective predictive model is required to evaluate the prognosis of patients to optimize treatment. Materials and Methods: RNA-sequencing data and clinicopathological data from TCGA were involved in this retrospective study. The IFN-γ response genes with significantly different gene expression were screened out. Univariate Cox regression, LASSO regression and multivariate Cox regression were used to establish a new prognostic scoring model for the training group. Survival curves and ROC curves were drawn, and nomogram was constructed. At the same time, we conducted subgroup analysis and experimental verification using our own samples. Finally, we evaluated the relatedness between the prognostic signature and immune infiltration landscapes. In addition, the sensitivity of different risk groups to six drugs and immune checkpoint inhibitors was calculated. Results: The IFN-γ response-related signature included 7 genes: C1S, IFI44, ST3GAL5, NUP93, TDRD7, DDX60, and ST8SIA4. The survival curves of the training and testing groups showed the model’s effectiveness (P = 4.372e-11 and P = 1.08e-08, respectively), the ROC curves showed that the signature was stable, and subgroup analyses showed the wide applicability of the model (P< 0.001). Multivariate Cox regression analysis showed that the risk model was an independent prognostic factor of ccRCC. A high-risk score may represent an immunosuppressive microenvironment, while the high-risk group exhibited poor sensitivity to drugs. Conclusion: Our findings strongly indicate that the IFN-γ response-related signature can be used as an effective prognostic indicator of ccRCC.