Ruiqing Chen, Hai Yu, Xinkai Zheng, Qiqi Zhao, Liehua Deng
{"title":"女性生殖系统角化性鳞状细胞癌预后的回顾性研究。","authors":"Ruiqing Chen, Hai Yu, Xinkai Zheng, Qiqi Zhao, Liehua Deng","doi":"10.1177/18758592251317396","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> The aim of this study was to compare the competing risk model with the Cox model to evaluate prognostic markers in females with keratinized squamous cell carcinoma of the reproductive system and to develop predictive models. <b>Methods:</b> Patients with keratinizing squamous cell carcinoma of the female reproductive system were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Using the cumulative incidence function (CIF) and Gray's test for univariate analysis, the competing risk and Cox models were used for multivariate analysis. A nomogram was developed based on the results of the competing risk model, and the C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model's discrimination ability. The clinical validity of the model was assessed using calibration plots and decision curve analysis (DCA). <b>Results:</b> In this investigation, competing risk model analysis revealed that age, marital status, tumor size, AJCC stage, surgery, radiotherapy, chemotherapy, postoperative lymph node dissection, surgery and radiotherapy, and income were significant factors affecting the prognosis of patients with keratinizing squamous cell carcinoma of the female reproductive system. Based on these results, a nomogram for predicting the 3-year, 5-year, and 8-year survival rates was established. The nomogram demonstrated better clinical utility than the AJCC staging system. <b>Conclusion:</b> For the first time, the competing risk model was used in this study to assess the prognostic risk factors of keratinizing squamous cell carcinoma of the female reproductive system. The results may help clinicians make better clinical judgments. Additionally, we developed a nomogram to predict the likelihood of cancer-specific death (CSD) in patients at 3, 5, and 8 years. Physicians may use our nomogram to more accurately forecast the likelihood of CSD compared to the AJCC staging system.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"42 3","pages":"18758592251317396"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognosis of keratinizing squamous cell carcinoma of the female reproductive system: A retrospective study.\",\"authors\":\"Ruiqing Chen, Hai Yu, Xinkai Zheng, Qiqi Zhao, Liehua Deng\",\"doi\":\"10.1177/18758592251317396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> The aim of this study was to compare the competing risk model with the Cox model to evaluate prognostic markers in females with keratinized squamous cell carcinoma of the reproductive system and to develop predictive models. <b>Methods:</b> Patients with keratinizing squamous cell carcinoma of the female reproductive system were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Using the cumulative incidence function (CIF) and Gray's test for univariate analysis, the competing risk and Cox models were used for multivariate analysis. A nomogram was developed based on the results of the competing risk model, and the C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model's discrimination ability. The clinical validity of the model was assessed using calibration plots and decision curve analysis (DCA). <b>Results:</b> In this investigation, competing risk model analysis revealed that age, marital status, tumor size, AJCC stage, surgery, radiotherapy, chemotherapy, postoperative lymph node dissection, surgery and radiotherapy, and income were significant factors affecting the prognosis of patients with keratinizing squamous cell carcinoma of the female reproductive system. Based on these results, a nomogram for predicting the 3-year, 5-year, and 8-year survival rates was established. The nomogram demonstrated better clinical utility than the AJCC staging system. <b>Conclusion:</b> For the first time, the competing risk model was used in this study to assess the prognostic risk factors of keratinizing squamous cell carcinoma of the female reproductive system. The results may help clinicians make better clinical judgments. Additionally, we developed a nomogram to predict the likelihood of cancer-specific death (CSD) in patients at 3, 5, and 8 years. Physicians may use our nomogram to more accurately forecast the likelihood of CSD compared to the AJCC staging system.</p>\",\"PeriodicalId\":56320,\"journal\":{\"name\":\"Cancer Biomarkers\",\"volume\":\"42 3\",\"pages\":\"18758592251317396\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Biomarkers\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/18758592251317396\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Biomarkers","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/18758592251317396","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Prognosis of keratinizing squamous cell carcinoma of the female reproductive system: A retrospective study.
Objective: The aim of this study was to compare the competing risk model with the Cox model to evaluate prognostic markers in females with keratinized squamous cell carcinoma of the reproductive system and to develop predictive models. Methods: Patients with keratinizing squamous cell carcinoma of the female reproductive system were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Using the cumulative incidence function (CIF) and Gray's test for univariate analysis, the competing risk and Cox models were used for multivariate analysis. A nomogram was developed based on the results of the competing risk model, and the C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model's discrimination ability. The clinical validity of the model was assessed using calibration plots and decision curve analysis (DCA). Results: In this investigation, competing risk model analysis revealed that age, marital status, tumor size, AJCC stage, surgery, radiotherapy, chemotherapy, postoperative lymph node dissection, surgery and radiotherapy, and income were significant factors affecting the prognosis of patients with keratinizing squamous cell carcinoma of the female reproductive system. Based on these results, a nomogram for predicting the 3-year, 5-year, and 8-year survival rates was established. The nomogram demonstrated better clinical utility than the AJCC staging system. Conclusion: For the first time, the competing risk model was used in this study to assess the prognostic risk factors of keratinizing squamous cell carcinoma of the female reproductive system. The results may help clinicians make better clinical judgments. Additionally, we developed a nomogram to predict the likelihood of cancer-specific death (CSD) in patients at 3, 5, and 8 years. Physicians may use our nomogram to more accurately forecast the likelihood of CSD compared to the AJCC staging system.
期刊介绍:
Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.