Role of Leptin and Adiponectin in Endometrial Cancer.

Endometrial cancer is the most common malignancy of the female genital tract. Obesity is a strong risk factor for endometrial cancer. Adipose tissue is an active endocrine organ that synthesizes biologically active cytokine peptides, called adipokines. Adiponectin and leptin are the main cytokines of adipose tissue, which may influence the development of metabolic diseases and carcinogenesis. In this scenario, we describe the role of leptin and adiponectin in the development of endometrial cancer. A better understanding of the signalling pathway of these cytokines in endometrial cancerogenesis will provide an opportunity for effective target therapy and may be usable in fertility-sparing treatment. In the future, clinical trials focusing on adipokines, molecular biology, and genetics of the tumour will be needed.

Cervicovaginal Microbiome after Cervical Intraepithelial Neoplasia Treatment. A Protocol for Systematic Review and Meta-Analysis.

(1) Background: The microbiome consists of microorganisms from various kingdoms with numerous physical and chemical properties Lactobacillus species constitute the highest percentage of healthy cervical and vaginal microbiota. Dysbiosis may cause adverse outcomes, e.g., bacterial vaginosis, pelvic inflammatory disease and pregnancy complications. The cervicovaginal microbiome might contribute to the development of a persistent HPV infection-the main risk factor of cervical cancer-and influence progression to malignancy The aim is to perform a systematic review of current literature and a meta-analysis regarding microbiome changes after cervical intraepithelial neoplasia treatment. (2) Methods: We will search PubMed, Scopus, Google Scholar and Embase Database and trace citations in the reference sections. Randomized and non-randomized controlled studies, case-control and cohort studies published between January 2000 and May 2021 will be included in the study protocol. The following keywords will be used: 'microbiome', 'vaginal microbiome', 'cervical microbiome', 'cervical neoplasia treatment', 'conization', 'electroconization', and 'electrosurgical treatment'. Statistical analyses will be performed using RevMan 5.4. (3) Results: The results will be published as a peer-reviewed article. (4) Conclusions: The study will show which forms of intraepithelial neoplasia treatment change the cervicovaginal microbiome. Finding the best form of treatment by studying the cervicovaginal microbiome after various forms of treatment is essential. Patients would benefit not only from the treatment of the initial disease but also the management of dysbiosis, which might underlie other pathologies.