A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study
Abstract Background Uterine sarcoma (US) is a rare malignant uterine tumor with aggressive behavior and rapid progression. The purpose of this study was to constructa comprehensive nomogram to predict cancer-specific survival (CSS) of patients with US-based on the Surveillance, Epidemiology, and End...
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BMC
2022-05-01
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Series: | BMC Women's Health |
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Online Access: | https://doi.org/10.1186/s12905-022-01739-5 |
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author | Yuan-jie Li Jun Lyu Chen Li Hai-rong He Jin-feng Wang Yue-ling Wang Jing Fang Jing Ji |
author_facet | Yuan-jie Li Jun Lyu Chen Li Hai-rong He Jin-feng Wang Yue-ling Wang Jing Fang Jing Ji |
author_sort | Yuan-jie Li |
collection | DOAJ |
description | Abstract Background Uterine sarcoma (US) is a rare malignant uterine tumor with aggressive behavior and rapid progression. The purpose of this study was to constructa comprehensive nomogram to predict cancer-specific survival (CSS) of patients with US-based on the Surveillance, Epidemiology, and End Results (SEER) database. Methods A retrospective population-based study was conducted using data from patients with US between 2010 and 2015 from the SEER database. They were randomly divided into a training cohort and a validation cohort ata 7-to-3 ratio. Multivariate Cox analysis was performed to identify independent prognostic factors. Subsequently, a nomogram was established to predict patient CSS. The discrimination and calibration of the nomogram were evaluated by the concordance index (C-index) and the area under the curve (AUC). Finally, net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to evaluate the benefits of the new prediction model. Results A total of 3861 patients with US were included in our study. As revealed in multivariate Cox analysis, age at diagnosis, race, marital status, insurance record, tumor size, pathology grade, histological type, SEER stage, AJCC stage, surgery status, radiotherapy status, and chemotherapy status were found to be independent prognostic factors. In our nomogram, pathology grade had strongest correlation with CSS, followed by age at diagnosis and surgery status. Compared to the AJCC staging system, the new nomogram showed better predictive discrimination with a higher C-index in the training and validation cohorts (0.796 and 0.767 vs. 0.706 and 0.713, respectively). Furthermore, the AUC value, calibration plotting, NRI, IDI, and DCA also demonstrated better performance than the traditional system. Conclusion Our study validated the first comprehensive nomogram for US, which could provide more accurate and individualized survival predictions for US patients in clinical practice. |
first_indexed | 2024-12-12T05:31:29Z |
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issn | 1472-6874 |
language | English |
last_indexed | 2024-12-12T05:31:29Z |
publishDate | 2022-05-01 |
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series | BMC Women's Health |
spelling | doaj.art-4a3b0a49d72d4caa9b53c898e9aab57b2022-12-22T00:36:18ZengBMCBMC Women's Health1472-68742022-05-0122111010.1186/s12905-022-01739-5A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based studyYuan-jie Li0Jun Lyu1Chen Li2Hai-rong He3Jin-feng Wang4Yue-ling Wang5Jing Fang6Jing Ji7Department of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, Xi’an Jiao Tong University Health Science CenterDepartment of Clinical Research, The First Affiliated Hospital of Jinan UniversityDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Xi’an Jiaotong UniversityAbstract Background Uterine sarcoma (US) is a rare malignant uterine tumor with aggressive behavior and rapid progression. The purpose of this study was to constructa comprehensive nomogram to predict cancer-specific survival (CSS) of patients with US-based on the Surveillance, Epidemiology, and End Results (SEER) database. Methods A retrospective population-based study was conducted using data from patients with US between 2010 and 2015 from the SEER database. They were randomly divided into a training cohort and a validation cohort ata 7-to-3 ratio. Multivariate Cox analysis was performed to identify independent prognostic factors. Subsequently, a nomogram was established to predict patient CSS. The discrimination and calibration of the nomogram were evaluated by the concordance index (C-index) and the area under the curve (AUC). Finally, net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to evaluate the benefits of the new prediction model. Results A total of 3861 patients with US were included in our study. As revealed in multivariate Cox analysis, age at diagnosis, race, marital status, insurance record, tumor size, pathology grade, histological type, SEER stage, AJCC stage, surgery status, radiotherapy status, and chemotherapy status were found to be independent prognostic factors. In our nomogram, pathology grade had strongest correlation with CSS, followed by age at diagnosis and surgery status. Compared to the AJCC staging system, the new nomogram showed better predictive discrimination with a higher C-index in the training and validation cohorts (0.796 and 0.767 vs. 0.706 and 0.713, respectively). Furthermore, the AUC value, calibration plotting, NRI, IDI, and DCA also demonstrated better performance than the traditional system. Conclusion Our study validated the first comprehensive nomogram for US, which could provide more accurate and individualized survival predictions for US patients in clinical practice.https://doi.org/10.1186/s12905-022-01739-5NomogramUterine sarcomaSEER databaseCancer-specific survival |
spellingShingle | Yuan-jie Li Jun Lyu Chen Li Hai-rong He Jin-feng Wang Yue-ling Wang Jing Fang Jing Ji A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study BMC Women's Health Nomogram Uterine sarcoma SEER database Cancer-specific survival |
title | A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study |
title_full | A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study |
title_fullStr | A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study |
title_full_unstemmed | A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study |
title_short | A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study |
title_sort | novel nomogram for predicting cancer specific survival in women with uterine sarcoma a large population based study |
topic | Nomogram Uterine sarcoma SEER database Cancer-specific survival |
url | https://doi.org/10.1186/s12905-022-01739-5 |
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