Prognostic Implications of Immune-Related Genes' (IRGs) Signature Models in Cervical Cancer and Endometrial Cancer.

Cervical cancer and endometrial cancer remain serious threats to women's health. Even though some patients can be treated with surgery plus chemoradiotherapy as a conventional option, the overall efficacy is deemed unsatisfactory. As such, the development for new treatment approaches is truly necessary. In recent years, immunotherapy has been widely used in clinical practice and it is an area of great interest that researchers are keeping attention on. However, a thorough immune-related genes (IRGs) study for cervical cancer and endometrial cancer is still lacking. We therefore aim to make a comprehensive evaluation of IRGs through bioinformatics and large databases, and also investigate the relationship between the two types of cancer. We reviewed the transcriptome RNAs of IRGs and clinical data based on the TCGA database. Survival-associated IRGs in cervical/endometrial cancer were identified using univariable and multivariable Cox proportional-hazard regression analysis for developing an IRG signature model to evaluate the risk of patients. In the end, this model was validated based on the enrichment analyses through GO, KEGG, and GSEA pathways, Kaplan-Meier survival curve, ROC curves, and immune cell infiltration. Our results showed that out of 25/23 survival-associated IRGs for cervical/endometrial cancer, 13/12 warranted further examination by multivariate Cox proportional-hazard regression analysis and were selected to develop an IRGs signature model. As a result, enrichment analyses for high-risk groups indicated main enriched pathways were associated with tumor development and progression, and statistical differences were found between high-risk and low-risk groups as shown by Kaplan-Meier survival curve. This model could be used as an independent measure for risk assessment and was considered relevant to immune cell infiltration, but it had nothing to do with clinicopathological characteristics. In summary, based on comprehensive analysis, we obtained the IRGs signature model in cervical cancer (LTA, TFRC, TYK2, DLL4, CSK, JUND, NFATC4, SBDS, FLT1, IL17RD, IL3RA, SDC1, PLAU) and endometrial cancer (LTA, PSMC4, KAL1, TNF, SBDS, HDGF, LTB, HTR3E, NR2F1, NR3C1, PGR, CBLC), which can effectively evaluate the prognosis and risk of patients and provide justification in immunology for further researches.

The New Biomarker for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Based on Public Database Mining.

To reconstruct the ceRNA biological network of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) and to select an appropriate mRNA as a biomarker that could be used for CESC early diagnosis and prognosis evaluation. We downloaded CESC data from the TCGA public database, and statistical analysis was conducted with the R software to find out differential expressed genes encoding for lncRNAs, miRNAs, and mRNAs. The differentially expressed mRNAs (DEmRNAs) screened in the ceRNA network were analyzed for survival to find the mRNAs with significantly linked to the survival prognosis. These mRNAs were searched in the Pathological Atlas to identify the final appropriate mRNAs. Differential expression analysis revealed 773 lncRNAs, 94 miRNAs, and 2466 mRNAs. Survival analysis of DEmRNAs in the ceRNA network indicated that ADGRF4, ANXA8L1, HCAR3, IRF6, and PDE2A (P < 0.05) were negatively correlated with survival time. Verification of these six DEmRNAs in the Pathology Atlas indicated that PDE2A was a possible biomarker for CESC patients. PDE2A might be a biomarker for early diagnosis and prognosis evaluation of CESC patients, but due to the lack of available data, further studies may be needed for confirmation.

Laparoscopic-assisted vaginal hysterectomy vs abdominal hysterectomy for benign disease: a meta-analysis of randomized controlled trials.

The objective of this meta-analysis was to assess whether laparoscopic-assisted vaginal hysterectomy achieves better clinical results compared with abdominal hysterectomy. Medline (PubMed), EMBASE, Web of Science, ProQuest, Cochrane Library and China Biological Medicine Database were searched to identify randomized controlled trials that compared laparoscopic-assisted vaginal hysterectomy with abdominal hysterectomy. Twenty-three trials were studied and the analysis was performed using Review Manager Version 5 and R Version 2.11.1. The results showed that laparoscopic-assisted vaginal hysterectomy was associated with a longer operation time, less blood loss, shorter hospital stay, smaller haemoglobin drop, less postoperative pain, quicker return to normal activities and fewer peri-operative complications. Quality of life is likely to be the key outcome to evaluate the approach for hysterectomy, but further research is needed. For suitable patients and surgeons, laparoscopic-assisted vaginal hysterectomy is a better choice than abdominal hysterectomy.

Meta-analysis: the comparison of clinical results between vaginal and laparoscopic myomectomy.

PURPOSE: To evaluate the clinical results of vaginal myomectomy and laparoscopic myomectomy (LM). METHODS: The database of PubMed, EMBASE, Web of Science, ProQuest, Cochrane library and China Biological Medicine Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang (Chinese) and VIP (Chinese) were searched using the keywords "laparoscopic", "laparoscopically", "vaginal", "trasvaginal", "myomectomy", "randomized", "randomised" and "randomly" to identify randomized controlled trails which compared vaginal myomectomy and LM. Studies are also searched by hand. No language restrictions were made. RESULTS: Four trials were studied and the analysis was performed using Review Manager Version 5 and R software Version 2.11.1. The results had shown that vaginal myomectomy was associated with less operation time significantly, but reduced blood loss, hospital stay and gas recovery and more minor complications without significant difference. CONCLUSIONS: This meta-analysis was not powerful to form an accurate conclusion because of less number, low quality of included studies and no data on major complications and long-term outcomes such as recurrence and pregnancy. Hence, more studies and data should be awaited and involved for further evaluation.