Cargando…
Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database
OBJECTIVES: We aimed to analyze the risk factors of elderly women with epithelial ovarian cancer (EOC) using data on the SEER database, and to generate a nomogram model their 1-, 3-, and 5-year prognoses. The resulting nomogram model should be useful for clinical diagnoses and treatment. METHODS: We...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570503/ https://www.ncbi.nlm.nih.gov/pubmed/37841445 http://dx.doi.org/10.3389/fonc.2023.1257615 |
_version_ | 1785119782697172992 |
---|---|
author | Zhou, Yingping Wang, Aifen Sun, Xin Zhang, Rong Zhao, Luwen |
author_facet | Zhou, Yingping Wang, Aifen Sun, Xin Zhang, Rong Zhao, Luwen |
author_sort | Zhou, Yingping |
collection | PubMed |
description | OBJECTIVES: We aimed to analyze the risk factors of elderly women with epithelial ovarian cancer (EOC) using data on the SEER database, and to generate a nomogram model their 1-, 3-, and 5-year prognoses. The resulting nomogram model should be useful for clinical diagnoses and treatment. METHODS: We collected clinical data of women older than 70 years with epithelial ovarian cancer (diagnosed on the basis of surgical pathology) from the SEER database including datasets between 2010 and 2019. We randomly grouped the data into two groups (7:3 ratio) using the R language software. We divided the independent prognostic factors obtained by univariate and multi-factor Cox regression analyses into training and validation sets, and we plotted the same independent prognostic factors in a nomogram model of overall survival (OS) at 1, 3, and 5 years. We used the C-index, calibration curve, and area under the curve to validate the nomograms. We further evaluated the model and its clinical applicability using decision curve analyses. RESULTS: We identified age, race, marital status, histological type, AJCC staging, differentiation degree, unilateral and bilateral tumor involvement, number of positive lymph nodes, chemotherapy, surgery, sequence of systemic treatment versus surgery, and time from diagnosis to treatment as independent prognostic factors for elderly women with EOC (P < 0.5). The C-indexes were 0.749 and 0.735 in the training and validation sets, respectively; the ROC curves showed that the AUC of each prognostic factor was greater than 0.7; and, the AUC values predicted by the line plot were similar in the training and validation sets. The decision curves suggest that this line plot model has a high clinical value for predicting overall survivals at 1, 3, and 5 years in elderly women with EOC. CONCLUSION: The nomogram model in this study can provide an accurate assessment of the overall survival of women older than 70 years with EOC at the time of the first treatment, and it provides a basis for individualized clinical treatment. |
format | Online Article Text |
id | pubmed-10570503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105705032023-10-14 Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database Zhou, Yingping Wang, Aifen Sun, Xin Zhang, Rong Zhao, Luwen Front Oncol Oncology OBJECTIVES: We aimed to analyze the risk factors of elderly women with epithelial ovarian cancer (EOC) using data on the SEER database, and to generate a nomogram model their 1-, 3-, and 5-year prognoses. The resulting nomogram model should be useful for clinical diagnoses and treatment. METHODS: We collected clinical data of women older than 70 years with epithelial ovarian cancer (diagnosed on the basis of surgical pathology) from the SEER database including datasets between 2010 and 2019. We randomly grouped the data into two groups (7:3 ratio) using the R language software. We divided the independent prognostic factors obtained by univariate and multi-factor Cox regression analyses into training and validation sets, and we plotted the same independent prognostic factors in a nomogram model of overall survival (OS) at 1, 3, and 5 years. We used the C-index, calibration curve, and area under the curve to validate the nomograms. We further evaluated the model and its clinical applicability using decision curve analyses. RESULTS: We identified age, race, marital status, histological type, AJCC staging, differentiation degree, unilateral and bilateral tumor involvement, number of positive lymph nodes, chemotherapy, surgery, sequence of systemic treatment versus surgery, and time from diagnosis to treatment as independent prognostic factors for elderly women with EOC (P < 0.5). The C-indexes were 0.749 and 0.735 in the training and validation sets, respectively; the ROC curves showed that the AUC of each prognostic factor was greater than 0.7; and, the AUC values predicted by the line plot were similar in the training and validation sets. The decision curves suggest that this line plot model has a high clinical value for predicting overall survivals at 1, 3, and 5 years in elderly women with EOC. CONCLUSION: The nomogram model in this study can provide an accurate assessment of the overall survival of women older than 70 years with EOC at the time of the first treatment, and it provides a basis for individualized clinical treatment. Frontiers Media S.A. 2023-09-29 /pmc/articles/PMC10570503/ /pubmed/37841445 http://dx.doi.org/10.3389/fonc.2023.1257615 Text en Copyright © 2023 Zhou, Wang, Sun, Zhang and Zhao 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 Zhou, Yingping Wang, Aifen Sun, Xin Zhang, Rong Zhao, Luwen Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database |
title | Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database |
title_full | Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database |
title_fullStr | Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database |
title_full_unstemmed | Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database |
title_short | Survival prognosis model for elderly women with epithelial ovarian cancer based on the SEER database |
title_sort | survival prognosis model for elderly women with epithelial ovarian cancer based on the seer database |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570503/ https://www.ncbi.nlm.nih.gov/pubmed/37841445 http://dx.doi.org/10.3389/fonc.2023.1257615 |
work_keys_str_mv | AT zhouyingping survivalprognosismodelforelderlywomenwithepithelialovariancancerbasedontheseerdatabase AT wangaifen survivalprognosismodelforelderlywomenwithepithelialovariancancerbasedontheseerdatabase AT sunxin survivalprognosismodelforelderlywomenwithepithelialovariancancerbasedontheseerdatabase AT zhangrong survivalprognosismodelforelderlywomenwithepithelialovariancancerbasedontheseerdatabase AT zhaoluwen survivalprognosismodelforelderlywomenwithepithelialovariancancerbasedontheseerdatabase |