Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
- PMID: 32808491
- PMCID: PMC7440978
- DOI: 10.3802/jgo.2020.31.e58
Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
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.
Keywords: Endometrial Neoplasms; Epidemiology; Incidence; Ovarian Neoplasms; Peritoneal Neoplasms; Uterine Cervical Neoplasms.
Copyright © 2020. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology.
Conflict of interest statement
No potential conflict of interest relevant to this article was reported.
Figures


References
-
- Wittekind CG, Hutten RP, Klimpfinger M, Sobin LH. Tumour lymph node metastasis classification. TNM atlas. 5th ed. Berlin: Springer-Verlag; 2005.
-
- Thomassen I, Verhoeven RH, van Gestel YR, van de Wouw AJ, Lemmens VE, de Hingh IH. Population-based incidence, treatment and survival of patients with peritoneal metastases of unknown origin. Eur J Cancer. 2014;50:50–56. - PubMed
-
- van Altena AM, Karim-Kos HE, de Vries E, Kruitwagen RF, Massuger LF, Kiemeney LA. Trends in therapy and survival of advanced stage epithelial ovarian cancer patients in the Netherlands. Gynecol Oncol. 2012;125:649–654. - PubMed