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Incidence and predictors of peritoneal metastases of gynecological origin:a population-based study in the Netherlands / 부인종양
Journal of Gynecologic Oncology ; : e58-2020.
Article in English | WPRIM | ID: wpr-891676
ABSTRACT
Objective@#Peritoneal metastases (PM) are a challenge in gynecological cancers, but its appearance has never been described in a population-based study. Therefore, we describe the incidence of PM and identify predictors that increase the probability of peritoneal spread. @*Methods@#All ovarian, endometrial and cervical cancer patients diagnosed in the Netherlands between 1989 and 2015 were identified from the Netherlands Cancer Registry and stratified for PM. Crude and age-adjusted incidence over time was calculated. Independent predictors for PM were identified using uni- and multivariable analyses. @*Results@#The 94,981 patients were diagnosed with ovarian, endometrial or cervical cancer and respectively 61%, 2% and 1% presented with PM. Predictors for PM in ovarian cancer were age between 50 and 74 years (odds ratio [OR]=1.19; 95% confidence interval [CI]=1.08–1.32), other distant metastases (OR=1.25; 95% CI=1.10–1.41), poor differentiation grade (OR=2.00; 95% CI=1.73–2.32) and serous histology. Predictors in endometrial cancer were lymph node metastases (OR=2.32; 95% CI=1.65–3.26), other distant metastases (OR=1.38; 95% CI=1.08–1.77), high-grade tumors (OR=1.95; 95% CI=1.38–2.76) and clear cell (OR=1.49; 95% CI=1.04–2.13) or serous histology (OR=2.71; 95% CI=2.15–3.42). In cervical cancer, the risk is higher in adenocarcinoma than in squamous cell carcinoma (OR=4.92; 95% CI=3.11–7.79). @*Conclusion@#PM are frequently seen in patients with ovarian cancer. In endometrial and cervical cancer PM are rare. Histological subtype was the strongest predictive factor for PM in all 3 cancers. Better understanding of predictive factors for PM and thus the biological behavior is of paramount importance.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Incidence study / Prognostic study Language: English Journal: Journal of Gynecologic Oncology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Incidence study / Prognostic study Language: English Journal: Journal of Gynecologic Oncology Year: 2020 Type: Article