Endometriosis and Endometrial Cancer-Association Between Biological Mechanisms and Its Clinical Implications

Endometriosis and endometrial cancer are distinct gynecological conditions that share overlapping biological mechanisms with implications for clinical management. Endometriosis is a chronic, benign disorder characterized by the ectopic implantation of functional tissue lining the uterus, primarily affecting women of reproductive age. It commonly causes chronic pelvic pain, dysmenorrhea, dyspareunia, and infertility. The disease is marked by persistent inflammation, hormonal dysregulation, and alterations in cellular signaling, which mirror some neoplastic processes despite lacking malignant potential. Endometrial cancer is a malignant tumor of the uterine lining, most frequently diagnosed in postmenopausal women. Its incidence is rising due to aging, obesity, and prolonged estrogen exposure. Epidemiological studies suggest a modest increase in endometrial cancer risk among women with endometriosis. However, detection bias and metabolic confounders may influence this association. Both conditions share estrogen dependence, chronic inflammatory microenvironments, and dysregulated pathways such as PI3K/AKT/mTOR. Somatic mutations in genes, including PTEN and ARID1A, further underline molecular intersections. Clinical management is tailored to disease type and severity. Endometriosis therapy emphasizes stepwise hormonal treatment, multidisciplinary pain management, and surgery when indicated. Endometrial cancer management relies on staging, with particular emphasis on molecular classification and histopathology to guide surgery, radiotherapy, chemotherapy, hormone therapy, and immunotherapy in advanced cases. Emerging noninvasive biomarkers and precision medicine strategies may enhance diagnosis, monitoring, and targeted treatment in both conditions. Understanding their shared and divergent mechanisms aids risk stratification, individualized therapy, and improved quality of life. Further prospective studies are needed to optimize patient-specific management and translate mechanistic insights into clinical practice.