Cargando…

An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China

PURPOSE: To assess the clinical characteristics and the risk factors related to the unfavorable prognosis of endometrioid ovarian carcinoma (EOVC) based on data from the Surveillance, Epidemiology, and End Results (SEER) database and two clinical centers in China. METHODS: Data were extracted from t...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Shuangfeng, Lu, Huaiwu, Jiang, Shan, Li, Min, Weng, Haiyan, Zhu, Jing, Zhang, Tianjiao, Wang, Yingying, Zhao, Weidong, Wu, Dabao, Shen, Zhen, Yang, Zhenye, Zhou, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314552/
https://www.ncbi.nlm.nih.gov/pubmed/37391693
http://dx.doi.org/10.1186/s12885-023-11048-1
_version_ 1785067332659314688
author Chen, Shuangfeng
Lu, Huaiwu
Jiang, Shan
Li, Min
Weng, Haiyan
Zhu, Jing
Zhang, Tianjiao
Wang, Yingying
Zhao, Weidong
Wu, Dabao
Shen, Zhen
Yang, Zhenye
Zhou, Ying
author_facet Chen, Shuangfeng
Lu, Huaiwu
Jiang, Shan
Li, Min
Weng, Haiyan
Zhu, Jing
Zhang, Tianjiao
Wang, Yingying
Zhao, Weidong
Wu, Dabao
Shen, Zhen
Yang, Zhenye
Zhou, Ying
author_sort Chen, Shuangfeng
collection PubMed
description PURPOSE: To assess the clinical characteristics and the risk factors related to the unfavorable prognosis of endometrioid ovarian carcinoma (EOVC) based on data from the Surveillance, Epidemiology, and End Results (SEER) database and two clinical centers in China. METHODS: Data were extracted from the SEER database and two clinical centers in China (2010 ~ 2021), 884 cases and 87 patients with EOVC were selected, respectively. Overall survival (OS) and progression-free survival (PFS) were compared among the different groups using Kaplan–Meier analysis. The Cox proportional-hazards model was used to identify independent prognostic factors related to EOVC. A nomogram was constructed based on the risk factors of the SEER database affecting prognosis and the discrimination and calibration of the nomogram were evaluated by C-index and calibration curves. RESULTS: The average age at diagnosis of patients with EOVC in the SEER database and two centers in China was 55.77 ± 12.40 years and 47.14 ± 11.50 years, 84.7% and 66.6% of them were diagnosed at FIGO stage I ~ II, respectively. In the SEER database, age over 70 years, advanced FIGO stage, tumor grade 3, only unilateral salpingo-oophorectomy were independent risk factors of unfavorable prognosis. In two clinical centers in China, 27.6% of EOVC patients were diagnosed with synchronous endometriosis. Advanced FIGO stage, HE4 > 179 pmol/L and bilateral ovarian involvement significantly correlated with poor OS and PFS in Kaplan–Meier analysis. Body mass index (BMI) < 19.34 kg/m(2) was an independent risk factor relating to OS and PFS. Additionally, C-index of internal and external verification for the nomogram were 0.812 and 0.754 respectively, revealing good accuracy and clinical applicability. CONCLUSIONS: Most patients were diagnosed at early stage, low grade and had better prognosis. Asian/Pacific Islander and Chinese diagnosed with EOVC were more likely to be younger than whites and blacks. Age, tumor grade and FIGO stage (SEER database) and BMI (two centers) are independent prognostic factors. HE4 appears to be more valuable in prognostic assessment compared with CA125. The nomogram had good discrimination and calibration for predicting prognosis, providing a convenient and reliable tool for clinical decision-making for patients with EOVC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11048-1.
format Online
Article
Text
id pubmed-10314552
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-103145522023-07-02 An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China Chen, Shuangfeng Lu, Huaiwu Jiang, Shan Li, Min Weng, Haiyan Zhu, Jing Zhang, Tianjiao Wang, Yingying Zhao, Weidong Wu, Dabao Shen, Zhen Yang, Zhenye Zhou, Ying BMC Cancer Research PURPOSE: To assess the clinical characteristics and the risk factors related to the unfavorable prognosis of endometrioid ovarian carcinoma (EOVC) based on data from the Surveillance, Epidemiology, and End Results (SEER) database and two clinical centers in China. METHODS: Data were extracted from the SEER database and two clinical centers in China (2010 ~ 2021), 884 cases and 87 patients with EOVC were selected, respectively. Overall survival (OS) and progression-free survival (PFS) were compared among the different groups using Kaplan–Meier analysis. The Cox proportional-hazards model was used to identify independent prognostic factors related to EOVC. A nomogram was constructed based on the risk factors of the SEER database affecting prognosis and the discrimination and calibration of the nomogram were evaluated by C-index and calibration curves. RESULTS: The average age at diagnosis of patients with EOVC in the SEER database and two centers in China was 55.77 ± 12.40 years and 47.14 ± 11.50 years, 84.7% and 66.6% of them were diagnosed at FIGO stage I ~ II, respectively. In the SEER database, age over 70 years, advanced FIGO stage, tumor grade 3, only unilateral salpingo-oophorectomy were independent risk factors of unfavorable prognosis. In two clinical centers in China, 27.6% of EOVC patients were diagnosed with synchronous endometriosis. Advanced FIGO stage, HE4 > 179 pmol/L and bilateral ovarian involvement significantly correlated with poor OS and PFS in Kaplan–Meier analysis. Body mass index (BMI) < 19.34 kg/m(2) was an independent risk factor relating to OS and PFS. Additionally, C-index of internal and external verification for the nomogram were 0.812 and 0.754 respectively, revealing good accuracy and clinical applicability. CONCLUSIONS: Most patients were diagnosed at early stage, low grade and had better prognosis. Asian/Pacific Islander and Chinese diagnosed with EOVC were more likely to be younger than whites and blacks. Age, tumor grade and FIGO stage (SEER database) and BMI (two centers) are independent prognostic factors. HE4 appears to be more valuable in prognostic assessment compared with CA125. The nomogram had good discrimination and calibration for predicting prognosis, providing a convenient and reliable tool for clinical decision-making for patients with EOVC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11048-1. BioMed Central 2023-07-01 /pmc/articles/PMC10314552/ /pubmed/37391693 http://dx.doi.org/10.1186/s12885-023-11048-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Shuangfeng
Lu, Huaiwu
Jiang, Shan
Li, Min
Weng, Haiyan
Zhu, Jing
Zhang, Tianjiao
Wang, Yingying
Zhao, Weidong
Wu, Dabao
Shen, Zhen
Yang, Zhenye
Zhou, Ying
An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China
title An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China
title_full An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China
title_fullStr An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China
title_full_unstemmed An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China
title_short An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China
title_sort analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the seer database and two centers in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314552/
https://www.ncbi.nlm.nih.gov/pubmed/37391693
http://dx.doi.org/10.1186/s12885-023-11048-1
work_keys_str_mv AT chenshuangfeng ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT luhuaiwu ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT jiangshan ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT limin ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT wenghaiyan ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhujing ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhangtianjiao ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT wangyingying ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhaoweidong ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT wudabao ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT shenzhen ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT yangzhenye ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhouying ananalysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT chenshuangfeng analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT luhuaiwu analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT jiangshan analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT limin analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT wenghaiyan analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhujing analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhangtianjiao analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT wangyingying analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhaoweidong analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT wudabao analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT shenzhen analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT yangzhenye analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina
AT zhouying analysisofclinicalcharacteristicsandprognosisofendometrioidovariancancerbasedontheseerdatabaseandtwocentersinchina