Cargando…
Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival
OBJECTIVE: This study aimed to determine the risk and prognostic factors of ovarian cancer (OC) in women having fertility-sparing surgery, as well as survival outcomes of those with stage I epithelial ovarian cancer (EOC). We also determined the effect of chemotherapy in OC treatment and used multip...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035747/ https://www.ncbi.nlm.nih.gov/pubmed/35480098 http://dx.doi.org/10.3389/fonc.2022.860046 |
_version_ | 1784693365449687040 |
---|---|
author | Hou, Yue-min Yu, Hui Hao, Jia-tao Feng, Fang An, Rui-fang |
author_facet | Hou, Yue-min Yu, Hui Hao, Jia-tao Feng, Fang An, Rui-fang |
author_sort | Hou, Yue-min |
collection | PubMed |
description | OBJECTIVE: This study aimed to determine the risk and prognostic factors of ovarian cancer (OC) in women having fertility-sparing surgery, as well as survival outcomes of those with stage I epithelial ovarian cancer (EOC). We also determined the effect of chemotherapy in OC treatment and used multiple independent risk factors to establish a prognostic nomogram model for patients with stage I EOC. PATIENTS AND METHODS: Individuals with OC and with fertility-sparing surgery (FSS) between 1998 and 2016 were identified in the SEER database. Univariate and multivariate logistic regression was performed to identify the distributions of patient characteristics according to chemotherapy. Cancer-specific survival (CSS) was assessed using Kaplan–Meier curves and log-rank tests. Univariate and multivariate Cox regression was conducted to determine the independent prognostic factors for CSS. Cox analysis was used to construct a nomogram model. The C-index and calibration plots showed the performance evaluation results. RESULTS: A total of 1,839 women with OC with FSS were identified in the SEER database. Factors associated with significantly higher odds of undergoing chemotherapy included younger age, being unmarried, having grades 2–4, stages II–III, or clear cell and non-epithelial histologic type following a multivariate logistic regression analysis. Multivariate Cox regression analysis confirmed that age, marital status, chemotherapy, histologic type, grade, and the International Federation of Gynecology and Obstetrics (FIGO) stage were independent prognostic factors for CSS. In stage I EOC, the prognosis in patients with stage IA/IB-grade 3 (5-year CSS 85.3%) or stage IC (5-year CSS 80.6%) was worse than that in those with stage IA/IB-grade 1 (5-year CSS 95.2%), or stage IA/IB-grade 2 (5-year CSS 94.7%). However, chemotherapy improved the survival of patients with stage IA/IB-grade 3 (5-year CSS 78.1% vs. 94.6%, p = 0.024) or stage IC (5-year CSS 75.1% vs. 86.7%, p = 0.170). DISCUSSION: The study provided population-based estimates of risk factors and prognoses in patients with OC and with FSS as well as the survival outcomes of patients with stage I EOC and the effect of chemotherapy. The constructed nomograms exhibited superior prognostic discrimination and survival prediction for patients with stage I EOC. |
format | Online Article Text |
id | pubmed-9035747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90357472022-04-26 Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival Hou, Yue-min Yu, Hui Hao, Jia-tao Feng, Fang An, Rui-fang Front Oncol Oncology OBJECTIVE: This study aimed to determine the risk and prognostic factors of ovarian cancer (OC) in women having fertility-sparing surgery, as well as survival outcomes of those with stage I epithelial ovarian cancer (EOC). We also determined the effect of chemotherapy in OC treatment and used multiple independent risk factors to establish a prognostic nomogram model for patients with stage I EOC. PATIENTS AND METHODS: Individuals with OC and with fertility-sparing surgery (FSS) between 1998 and 2016 were identified in the SEER database. Univariate and multivariate logistic regression was performed to identify the distributions of patient characteristics according to chemotherapy. Cancer-specific survival (CSS) was assessed using Kaplan–Meier curves and log-rank tests. Univariate and multivariate Cox regression was conducted to determine the independent prognostic factors for CSS. Cox analysis was used to construct a nomogram model. The C-index and calibration plots showed the performance evaluation results. RESULTS: A total of 1,839 women with OC with FSS were identified in the SEER database. Factors associated with significantly higher odds of undergoing chemotherapy included younger age, being unmarried, having grades 2–4, stages II–III, or clear cell and non-epithelial histologic type following a multivariate logistic regression analysis. Multivariate Cox regression analysis confirmed that age, marital status, chemotherapy, histologic type, grade, and the International Federation of Gynecology and Obstetrics (FIGO) stage were independent prognostic factors for CSS. In stage I EOC, the prognosis in patients with stage IA/IB-grade 3 (5-year CSS 85.3%) or stage IC (5-year CSS 80.6%) was worse than that in those with stage IA/IB-grade 1 (5-year CSS 95.2%), or stage IA/IB-grade 2 (5-year CSS 94.7%). However, chemotherapy improved the survival of patients with stage IA/IB-grade 3 (5-year CSS 78.1% vs. 94.6%, p = 0.024) or stage IC (5-year CSS 75.1% vs. 86.7%, p = 0.170). DISCUSSION: The study provided population-based estimates of risk factors and prognoses in patients with OC and with FSS as well as the survival outcomes of patients with stage I EOC and the effect of chemotherapy. The constructed nomograms exhibited superior prognostic discrimination and survival prediction for patients with stage I EOC. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9035747/ /pubmed/35480098 http://dx.doi.org/10.3389/fonc.2022.860046 Text en Copyright © 2022 Hou, Yu, Hao, Feng and An 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 Hou, Yue-min Yu, Hui Hao, Jia-tao Feng, Fang An, Rui-fang Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival |
title | Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival |
title_full | Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival |
title_fullStr | Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival |
title_full_unstemmed | Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival |
title_short | Women With Ovarian Cancer and With Fertility Preservation: A Survival Analysis Using the Surveillance, Epidemiology, and End Results Database and Construction of Nomograms to Predict Cancer-Specific Survival |
title_sort | women with ovarian cancer and with fertility preservation: a survival analysis using the surveillance, epidemiology, and end results database and construction of nomograms to predict cancer-specific survival |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035747/ https://www.ncbi.nlm.nih.gov/pubmed/35480098 http://dx.doi.org/10.3389/fonc.2022.860046 |
work_keys_str_mv | AT houyuemin womenwithovariancancerandwithfertilitypreservationasurvivalanalysisusingthesurveillanceepidemiologyandendresultsdatabaseandconstructionofnomogramstopredictcancerspecificsurvival AT yuhui womenwithovariancancerandwithfertilitypreservationasurvivalanalysisusingthesurveillanceepidemiologyandendresultsdatabaseandconstructionofnomogramstopredictcancerspecificsurvival AT haojiatao womenwithovariancancerandwithfertilitypreservationasurvivalanalysisusingthesurveillanceepidemiologyandendresultsdatabaseandconstructionofnomogramstopredictcancerspecificsurvival AT fengfang womenwithovariancancerandwithfertilitypreservationasurvivalanalysisusingthesurveillanceepidemiologyandendresultsdatabaseandconstructionofnomogramstopredictcancerspecificsurvival AT anruifang womenwithovariancancerandwithfertilitypreservationasurvivalanalysisusingthesurveillanceepidemiologyandendresultsdatabaseandconstructionofnomogramstopredictcancerspecificsurvival |