Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer
Abstract Background Lymph node metastasis (LNM) is an important factor affecting endometrial cancer (EC) prognosis. Current controversy exists as to how to accurately assess the risk of lymphatic metastasis. Metabolic syndrome has been considered a risk factor for endometrial cancer, yet its effect...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-07-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-023-11053-4 |
| _version_ | 1797784598167420928 |
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| author | Xuan Feng Xing Chen Li Xiao Yang Yuan Cheng Yang Yang Dong Jing Yuan Wang Jing Yi Zhou Jian Liu Wang |
| author_facet | Xuan Feng Xing Chen Li Xiao Yang Yuan Cheng Yang Yang Dong Jing Yuan Wang Jing Yi Zhou Jian Liu Wang |
| author_sort | Xuan Feng |
| collection | DOAJ |
| description | Abstract Background Lymph node metastasis (LNM) is an important factor affecting endometrial cancer (EC) prognosis. Current controversy exists as to how to accurately assess the risk of lymphatic metastasis. Metabolic syndrome has been considered a risk factor for endometrial cancer, yet its effect on LNM remains elusive. We developed a nomogram integrating metabolic syndrome indicators with other crucial variables to predict lymph node metastasis in endometrial cancer. Methods This study is based on patients diagnosed with EC in Peking University People’s Hospital between January 2004 and December 2020. A total of 1076 patients diagnosed with EC and who underwent staging surgery were divided into training and validation cohorts according to the ratio of 2:1. Univariate and multivariate logistic regression analyses were used to determine the significant predictive factors. Results The prediction nomogram included MSR, positive peritoneal cytology, lymph vascular space invasion, endometrioid histological type, tumor size > = 2 cm, myometrial invasion > = 50%, cervical stromal invasion, and tumor grade. In the training group, the area under the curve (AUC) of the nomogram and Mayo criteria were 0.85 (95% CI: 0.81–0.90) and 0.77 (95% CI: 0.77–0.83), respectively (P < 0.01). In the validation group (N = 359), the AUC was 0.87 (95% CI: 0.82–0.93) and 0.80 (95% CI: 0.74–0.87) for the nomogram and the Mayo criteria, respectively (P = 0.01). Calibration plots revealed the satisfactory performance of the nomogram. Decision curve analysis showed a positive net benefit of this nomogram, which indicated clinical value. Conclusion This model may promote risk stratification and individualized treatment, thus improving the prognosis. |
| first_indexed | 2024-03-13T00:42:11Z |
| format | Article |
| id | doaj.art-fcdf09becb5941bda253e31ac31ee91b |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-03-13T00:42:11Z |
| publishDate | 2023-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-fcdf09becb5941bda253e31ac31ee91b2023-07-09T11:16:20ZengBMCBMC Cancer1471-24072023-07-0123111310.1186/s12885-023-11053-4Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancerXuan Feng0Xing Chen Li1Xiao Yang2Yuan Cheng3Yang Yang Dong4Jing Yuan Wang5Jing Yi Zhou6Jian Liu Wang7Department of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalDepartment of Obstetrics and Gynecology, Peking University People’s HospitalAbstract Background Lymph node metastasis (LNM) is an important factor affecting endometrial cancer (EC) prognosis. Current controversy exists as to how to accurately assess the risk of lymphatic metastasis. Metabolic syndrome has been considered a risk factor for endometrial cancer, yet its effect on LNM remains elusive. We developed a nomogram integrating metabolic syndrome indicators with other crucial variables to predict lymph node metastasis in endometrial cancer. Methods This study is based on patients diagnosed with EC in Peking University People’s Hospital between January 2004 and December 2020. A total of 1076 patients diagnosed with EC and who underwent staging surgery were divided into training and validation cohorts according to the ratio of 2:1. Univariate and multivariate logistic regression analyses were used to determine the significant predictive factors. Results The prediction nomogram included MSR, positive peritoneal cytology, lymph vascular space invasion, endometrioid histological type, tumor size > = 2 cm, myometrial invasion > = 50%, cervical stromal invasion, and tumor grade. In the training group, the area under the curve (AUC) of the nomogram and Mayo criteria were 0.85 (95% CI: 0.81–0.90) and 0.77 (95% CI: 0.77–0.83), respectively (P < 0.01). In the validation group (N = 359), the AUC was 0.87 (95% CI: 0.82–0.93) and 0.80 (95% CI: 0.74–0.87) for the nomogram and the Mayo criteria, respectively (P = 0.01). Calibration plots revealed the satisfactory performance of the nomogram. Decision curve analysis showed a positive net benefit of this nomogram, which indicated clinical value. Conclusion This model may promote risk stratification and individualized treatment, thus improving the prognosis.https://doi.org/10.1186/s12885-023-11053-4Endometrial cancerMetabolicLymph node metastasisNomogram |
| spellingShingle | Xuan Feng Xing Chen Li Xiao Yang Yuan Cheng Yang Yang Dong Jing Yuan Wang Jing Yi Zhou Jian Liu Wang Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer BMC Cancer Endometrial cancer Metabolic Lymph node metastasis Nomogram |
| title | Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer |
| title_full | Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer |
| title_fullStr | Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer |
| title_full_unstemmed | Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer |
| title_short | Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer |
| title_sort | metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer |
| topic | Endometrial cancer Metabolic Lymph node metastasis Nomogram |
| url | https://doi.org/10.1186/s12885-023-11053-4 |
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