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Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis

OBJECTIVE: Increased risk of ovarian cancer (OC) among endometriosis patients has been proposed. However, the association between endometriosis and prognosis of OC remains controversial. This study evaluated whether endometriosis had influence on the survival outcomes of OC through a meta-analysis....

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Autores principales: Chen, Peng, Zhang, Chi-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008736/
https://www.ncbi.nlm.nih.gov/pubmed/35433452
http://dx.doi.org/10.3389/fonc.2022.732322
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author Chen, Peng
Zhang, Chi-Yuan
author_facet Chen, Peng
Zhang, Chi-Yuan
author_sort Chen, Peng
collection PubMed
description OBJECTIVE: Increased risk of ovarian cancer (OC) among endometriosis patients has been proposed. However, the association between endometriosis and prognosis of OC remains controversial. This study evaluated whether endometriosis had influence on the survival outcomes of OC through a meta-analysis. METHODS: Relevant studies were retrieved from PubMed, Embase, and Web of Science databases and were evaluated using the Newcastle-Ottawa Quality Assessment Scale. Effect size was presented as hazard ratio (HR) and 95% confidence interval (CI). Heterogeneity test evaluation was performed using Cochran’s Q test and I(2) statistics. Publication bias was determined using Egger’s test. Statistical analysis was performed using Stata 12.0 software. RESULTS: Twenty-one studies involving 38641 patients were included. For the total OC, there were significant differences in overall survival (OS) [HR (95% CI)=0.67 (0.55, 0.80), P<0.001] and progression-free survival (PFS) [HR (95% CI)=0.58 (0.42, 0.81), P=0.001] between endometriosis-associated ovarian cancer (EAOC) and non-EAOC patients in the random-effects models (P<0.05). For ovarian clear cell cancer, there were significant differences in terms of OS [HR (95% CI)=0.63 (0.48, 0.83), P=0.001] and PFS [HR (95% CI)=0.67 (0.52, 0.87), P=0.002] between EAOC and non-EAOC patients in the fixed-effects models (P>0.05). Subgroup analysis suggested no significant differences between EAOC and non-EAOC in OS and PFS in the univariate analysis per subgroup, and PFS in the American subgroup (P>0.05). CONCLUSION: EAOC patients tended to have better OS and PFS than non-EAOC patients. Conducting higher quality prospective cohort studies with large sample sizes is recommended to confirm the authenticity of the current study’s results. SYSTEMATIC REVIEW REGISTRATION: https://inplasy.com/inplasy-2022-3-0109/.
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spelling pubmed-90087362022-04-15 Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis Chen, Peng Zhang, Chi-Yuan Front Oncol Oncology OBJECTIVE: Increased risk of ovarian cancer (OC) among endometriosis patients has been proposed. However, the association between endometriosis and prognosis of OC remains controversial. This study evaluated whether endometriosis had influence on the survival outcomes of OC through a meta-analysis. METHODS: Relevant studies were retrieved from PubMed, Embase, and Web of Science databases and were evaluated using the Newcastle-Ottawa Quality Assessment Scale. Effect size was presented as hazard ratio (HR) and 95% confidence interval (CI). Heterogeneity test evaluation was performed using Cochran’s Q test and I(2) statistics. Publication bias was determined using Egger’s test. Statistical analysis was performed using Stata 12.0 software. RESULTS: Twenty-one studies involving 38641 patients were included. For the total OC, there were significant differences in overall survival (OS) [HR (95% CI)=0.67 (0.55, 0.80), P<0.001] and progression-free survival (PFS) [HR (95% CI)=0.58 (0.42, 0.81), P=0.001] between endometriosis-associated ovarian cancer (EAOC) and non-EAOC patients in the random-effects models (P<0.05). For ovarian clear cell cancer, there were significant differences in terms of OS [HR (95% CI)=0.63 (0.48, 0.83), P=0.001] and PFS [HR (95% CI)=0.67 (0.52, 0.87), P=0.002] between EAOC and non-EAOC patients in the fixed-effects models (P>0.05). Subgroup analysis suggested no significant differences between EAOC and non-EAOC in OS and PFS in the univariate analysis per subgroup, and PFS in the American subgroup (P>0.05). CONCLUSION: EAOC patients tended to have better OS and PFS than non-EAOC patients. Conducting higher quality prospective cohort studies with large sample sizes is recommended to confirm the authenticity of the current study’s results. SYSTEMATIC REVIEW REGISTRATION: https://inplasy.com/inplasy-2022-3-0109/. Frontiers Media S.A. 2022-03-31 /pmc/articles/PMC9008736/ /pubmed/35433452 http://dx.doi.org/10.3389/fonc.2022.732322 Text en Copyright © 2022 Chen and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chen, Peng
Zhang, Chi-Yuan
Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis
title Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis
title_full Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis
title_fullStr Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis
title_full_unstemmed Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis
title_short Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis
title_sort association between endometriosis and prognosis of ovarian cancer: an updated meta-analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008736/
https://www.ncbi.nlm.nih.gov/pubmed/35433452
http://dx.doi.org/10.3389/fonc.2022.732322
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