A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study
Abstract Uterine clear cell carcinoma (UCCC) is a relatively rare endometrial cancer. There is limited information on its prognosis. This study aimed to develop a predictive model predicting the cancer-specific survival (CSS) of UCCC patients based on data from the Surveillance, Epidemiology, and En...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36323-w |
| _version_ | 1797806807434919936 |
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| author | Wen-li Cheng Rui-min Wang Yi Zhao Juan Chen |
| author_facet | Wen-li Cheng Rui-min Wang Yi Zhao Juan Chen |
| author_sort | Wen-li Cheng |
| collection | DOAJ |
| description | Abstract Uterine clear cell carcinoma (UCCC) is a relatively rare endometrial cancer. There is limited information on its prognosis. This study aimed to develop a predictive model predicting the cancer-specific survival (CSS) of UCCC patients based on data from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018. A total of 2329 patients initially diagnosed with UCCC were included in this study. Patients were randomized into training and validation cohorts (7:3). Multivariate Cox regression analysis identified that age, tumor size, SEER stage, surgery, number of lymph nodes detected, lymph node metastasis, radiotherapy and chemotherapy were independent prognostic factors for CSS. Based on these factors, a nomogram for predicting the prognosis of UCCC patients was constructed. The nomogram was validated using concordance index (C-index), calibration curves, and decision curve analyses (DCA). The C-index of the nomograms in the training and validation sets are 0.778 and 0.765, respectively. Calibration curves showed good consistency of CSS between actual observations and nomogram predictions, and DCA showed that the nomogram has great clinical utility. In conclusion, a prognostic nomogram was firstly established for predicting the CSS of UCCC patients, which can help clinicians make personalized prognostic predictions and provide accurate treatment recommendations. |
| first_indexed | 2024-03-13T06:12:58Z |
| format | Article |
| id | doaj.art-d35a17e56c874e9ca6532e33771bd5f6 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T06:12:58Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj.art-d35a17e56c874e9ca6532e33771bd5f62023-06-11T11:11:08ZengNature PortfolioScientific Reports2045-23222023-06-011311910.1038/s41598-023-36323-wA nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based studyWen-li Cheng0Rui-min Wang1Yi Zhao2Juan Chen3Department of Outpatient, West China Second University Hospital, Sichuan UniversityDepartment of Outpatient, West China Second University Hospital, Sichuan UniversityDepartment of Outpatient, West China Second University Hospital, Sichuan UniversityDepartment of Outpatient, West China Second University Hospital, Sichuan UniversityAbstract Uterine clear cell carcinoma (UCCC) is a relatively rare endometrial cancer. There is limited information on its prognosis. This study aimed to develop a predictive model predicting the cancer-specific survival (CSS) of UCCC patients based on data from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018. A total of 2329 patients initially diagnosed with UCCC were included in this study. Patients were randomized into training and validation cohorts (7:3). Multivariate Cox regression analysis identified that age, tumor size, SEER stage, surgery, number of lymph nodes detected, lymph node metastasis, radiotherapy and chemotherapy were independent prognostic factors for CSS. Based on these factors, a nomogram for predicting the prognosis of UCCC patients was constructed. The nomogram was validated using concordance index (C-index), calibration curves, and decision curve analyses (DCA). The C-index of the nomograms in the training and validation sets are 0.778 and 0.765, respectively. Calibration curves showed good consistency of CSS between actual observations and nomogram predictions, and DCA showed that the nomogram has great clinical utility. In conclusion, a prognostic nomogram was firstly established for predicting the CSS of UCCC patients, which can help clinicians make personalized prognostic predictions and provide accurate treatment recommendations.https://doi.org/10.1038/s41598-023-36323-w |
| spellingShingle | Wen-li Cheng Rui-min Wang Yi Zhao Juan Chen A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study Scientific Reports |
| title | A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study |
| title_full | A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study |
| title_fullStr | A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study |
| title_full_unstemmed | A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study |
| title_short | A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study |
| title_sort | nomogram for predicting cancer specific survival in patients with uterine clear cell carcinoma a population based study |
| url | https://doi.org/10.1038/s41598-023-36323-w |
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