Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment
Objective. The aim of this study was to explore prognostic factors, develop and internally validate a prognostic nomogram model, and predict the cancer-specific survival (CCS) of epithelial ovarian cancer (EOC) patients with pelvic exenteration (PE) treatment. Methods. A total of 454 EOC patients fr...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | International Journal of Clinical Practice |
| Online Access: | http://dx.doi.org/10.1155/2023/9219067 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555258385006592 |
|---|---|
| author | Ting Wang Xin Fu Lei Zhang Shuna Liu Ziqi Tao Fang Wang |
| author_facet | Ting Wang Xin Fu Lei Zhang Shuna Liu Ziqi Tao Fang Wang |
| author_sort | Ting Wang |
| collection | DOAJ |
| description | Objective. The aim of this study was to explore prognostic factors, develop and internally validate a prognostic nomogram model, and predict the cancer-specific survival (CCS) of epithelial ovarian cancer (EOC) patients with pelvic exenteration (PE) treatment. Methods. A total of 454 EOC patients from the Surveillance, Epidemiology, and End Results (SEER) database were collected according to the inclusion criteria and randomly divided into the training (n = 317) and validation (n = 137) cohorts. Prognostic factors of EOC patients with PE treatment were explored by univariate and multivariate stepwise Cox regression analyses. A predictive nomogram was constructed based on selected risk factors. The predictive power of the constructed nomogram was assessed by the time-dependent receiver operating characteristic (ROC) curve. Kaplan–Meier (KM) curve stratified by patients’ nomoscore was also plotted to assess the risk stratification of the established nomogram. In internal validation, the C index, calibration curve, and decision curve analysis (DCA) were employed to assess the discrimination, calibration, and clinical utility of the models, respectively. Results. In the training cohort, age, histological type, Federation of Gynecology and Obstetrics (FIGO) stage, number of examined lymph nodes, and number of positive lymph nodes were found to be independent prognostic factors of postoperative CSS. A practical nomogram model of EOC patients with PE treatment was constructed based on these selected risk factors. Time-dependent ROC curves and KM curves showed the superior predictive capability and excellent clinical stratification of the nomogram in both training and validation cohorts. In the internal validation, the C index, calibration plots, and DCA in the training and validation cohorts confirmed that the nomogram presents a high level of prediction accuracy and clinical applicability. Conclusion. Our nomogram exhibited satisfactory survival prediction and prognostic discrimination. It is a user-friendly tool with high clinical pragmatism for estimating prognosis and guiding the long-term management of EOC patients with PE treatment. |
| format | Article |
| id | doaj-art-18b7faf094fb4855ae5a4ceb42edeab3 |
| institution | Kabale University |
| issn | 1742-1241 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Clinical Practice |
| spelling | doaj-art-18b7faf094fb4855ae5a4ceb42edeab32025-02-03T05:48:40ZengWileyInternational Journal of Clinical Practice1742-12412023-01-01202310.1155/2023/9219067Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration TreatmentTing Wang0Xin Fu1Lei Zhang2Shuna Liu3Ziqi Tao4Fang Wang5Department of Laboratory MedicineClinical LaboratoryDepartment of Laboratory MedicineDepartment of Laboratory MedicineDepartment of Laboratory MedicineDepartment of Laboratory MedicineObjective. The aim of this study was to explore prognostic factors, develop and internally validate a prognostic nomogram model, and predict the cancer-specific survival (CCS) of epithelial ovarian cancer (EOC) patients with pelvic exenteration (PE) treatment. Methods. A total of 454 EOC patients from the Surveillance, Epidemiology, and End Results (SEER) database were collected according to the inclusion criteria and randomly divided into the training (n = 317) and validation (n = 137) cohorts. Prognostic factors of EOC patients with PE treatment were explored by univariate and multivariate stepwise Cox regression analyses. A predictive nomogram was constructed based on selected risk factors. The predictive power of the constructed nomogram was assessed by the time-dependent receiver operating characteristic (ROC) curve. Kaplan–Meier (KM) curve stratified by patients’ nomoscore was also plotted to assess the risk stratification of the established nomogram. In internal validation, the C index, calibration curve, and decision curve analysis (DCA) were employed to assess the discrimination, calibration, and clinical utility of the models, respectively. Results. In the training cohort, age, histological type, Federation of Gynecology and Obstetrics (FIGO) stage, number of examined lymph nodes, and number of positive lymph nodes were found to be independent prognostic factors of postoperative CSS. A practical nomogram model of EOC patients with PE treatment was constructed based on these selected risk factors. Time-dependent ROC curves and KM curves showed the superior predictive capability and excellent clinical stratification of the nomogram in both training and validation cohorts. In the internal validation, the C index, calibration plots, and DCA in the training and validation cohorts confirmed that the nomogram presents a high level of prediction accuracy and clinical applicability. Conclusion. Our nomogram exhibited satisfactory survival prediction and prognostic discrimination. It is a user-friendly tool with high clinical pragmatism for estimating prognosis and guiding the long-term management of EOC patients with PE treatment.http://dx.doi.org/10.1155/2023/9219067 |
| spellingShingle | Ting Wang Xin Fu Lei Zhang Shuna Liu Ziqi Tao Fang Wang Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment International Journal of Clinical Practice |
| title | Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment |
| title_full | Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment |
| title_fullStr | Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment |
| title_full_unstemmed | Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment |
| title_short | Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment |
| title_sort | prognostic factors and a predictive nomogram of cancer specific survival of epithelial ovarian cancer patients with pelvic exenteration treatment |
| url | http://dx.doi.org/10.1155/2023/9219067 |
| work_keys_str_mv | AT tingwang prognosticfactorsandapredictivenomogramofcancerspecificsurvivalofepithelialovariancancerpatientswithpelvicexenterationtreatment AT xinfu prognosticfactorsandapredictivenomogramofcancerspecificsurvivalofepithelialovariancancerpatientswithpelvicexenterationtreatment AT leizhang prognosticfactorsandapredictivenomogramofcancerspecificsurvivalofepithelialovariancancerpatientswithpelvicexenterationtreatment AT shunaliu prognosticfactorsandapredictivenomogramofcancerspecificsurvivalofepithelialovariancancerpatientswithpelvicexenterationtreatment AT ziqitao prognosticfactorsandapredictivenomogramofcancerspecificsurvivalofepithelialovariancancerpatientswithpelvicexenterationtreatment AT fangwang prognosticfactorsandapredictivenomogramofcancerspecificsurvivalofepithelialovariancancerpatientswithpelvicexenterationtreatment |