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Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands

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, endome...

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Autores principales: Burg, Lara, Timmermans, Maite, van der Aa, Maaike, Boll, Dorry, Rovers, Koen, de Hingh, Ignace, van Altena, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440978/
https://www.ncbi.nlm.nih.gov/pubmed/32808491
http://dx.doi.org/10.3802/jgo.2020.31.e58
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author Burg, Lara
Timmermans, Maite
van der Aa, Maaike
Boll, Dorry
Rovers, Koen
de Hingh, Ignace
van Altena, Anne
author_facet Burg, Lara
Timmermans, Maite
van der Aa, Maaike
Boll, Dorry
Rovers, Koen
de Hingh, Ignace
van Altena, Anne
author_sort Burg, Lara
collection PubMed
description 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.
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spelling pubmed-74409782020-09-01 Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands Burg, Lara Timmermans, Maite van der Aa, Maaike Boll, Dorry Rovers, Koen de Hingh, Ignace van Altena, Anne J Gynecol Oncol Original Article 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. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2020-04-27 /pmc/articles/PMC7440978/ /pubmed/32808491 http://dx.doi.org/10.3802/jgo.2020.31.e58 Text en Copyright © 2020. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Burg, Lara
Timmermans, Maite
van der Aa, Maaike
Boll, Dorry
Rovers, Koen
de Hingh, Ignace
van Altena, Anne
Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
title Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
title_full Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
title_fullStr Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
title_full_unstemmed Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
title_short Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands
title_sort incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the netherlands
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440978/
https://www.ncbi.nlm.nih.gov/pubmed/32808491
http://dx.doi.org/10.3802/jgo.2020.31.e58
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