Dysmenorrhea is a common symptom secondary to various gynecological disorders, but it is also represented in most women as a primary form of disease. Pain associated with dysmenorrhea is caused by hypersecretion of prostaglandins and an increased uterine contractility. The primary dysmenorrhea is quite frequent in young women and remains with a good prognosis, even though it is associated with low quality of life. The secondary forms of dysmenorrhea are associated with endometriosis and adenomyosis and may represent the key symptom. The diagnosis is suspected on the basis of the clinical history and the physical examination and can be confirmed by ultrasound, which is very useful to exclude some secondary causes of dysmenorrhea, such as endometriosis and adenomyosis. The treatment options include non-steroidal anti-inflammatory drugs alone or combined with oral contraceptives or progestins.
Our results showed for the first time that women with endometriosis are at higher risk of developing ICP and experiencing an induced labor. Further studies are warranted to clarify whether the history of endometriosis might be taken into account in the antenatal care of these patients.
Endometrial cancer (EC) is the most frequent female cancer associated with excellent prognosis if diagnosed at an early stage. The risk factors on which clinical staging is based are constantly updated and genetic and epigenetic characteristics have recently been emerging as prognostic markers. The evidence shows that non-coding RNAs (ncRNAs) play a fundamental role in various biological processes associated with the pathogenesis of EC and many of them also have a prognosis prediction function, of remarkable importance in defining the therapeutic and surveillance path of EC patients. Personalized medicine focuses on the continuous updating of risk factors that are identifiable early during the EC staging to tailor treatments to patients. This review aims to show a summary of the current classification systems and to encourage the integration of various risk factors, introducing the prognostic role of non-coding RNAs, to avoid aggressive therapies where not necessary and to treat and strictly monitor subjects at greater risk of relapse.
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