Prognosis of keratinizing squamous cell carcinoma of the female reproductive system: A retrospective study.

IF 2.2 4区 医学 Q3 ONCOLOGY
Cancer Biomarkers Pub Date : 2025-03-01 Epub Date: 2025-04-16 DOI:10.1177/18758592251317396
Ruiqing Chen, Hai Yu, Xinkai Zheng, Qiqi Zhao, Liehua Deng
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引用次数: 0

Abstract

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.

女性生殖系统角化性鳞状细胞癌预后的回顾性研究。
目的:本研究的目的是比较竞争风险模型和Cox模型,以评估女性生殖系统角化鳞状细胞癌的预后标志物,并建立预测模型。方法:从监测、流行病学和最终结果(SEER)数据库中确定女性生殖系统角化性鳞状细胞癌患者。单因素分析采用累积关联函数(CIF)和Gray检验,多因素分析采用竞争风险模型和Cox模型。基于竞争风险模型的结果,建立了一种nomogram,并使用c指数、净重分类指数(NRI)和综合判别改进(IDI)来评价模型的判别能力。采用标定图和决策曲线分析(DCA)评估模型的临床有效性。结果:本研究竞争风险模型分析显示,年龄、婚姻状况、肿瘤大小、AJCC分期、手术、放疗、化疗、术后淋巴结清扫、手术及放疗、收入是影响女性生殖系统角化性鳞状细胞癌患者预后的显著因素。基于这些结果,建立了预测3年、5年和8年生存率的nomogram。与AJCC分期系统相比,nomogram分期系统具有更好的临床应用价值。结论:本研究首次采用竞争风险模型评价女性生殖系统角化性鳞状细胞癌的预后危险因素。结果可能有助于临床医生做出更好的临床判断。此外,我们开发了一个nomogram来预测患者在3年、5年和8年癌症特异性死亡(CSD)的可能性。与AJCC分期系统相比,医生可以使用我们的nomogram来更准确地预测CSD的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Biomarkers
Cancer Biomarkers ONCOLOGY-
CiteScore
5.20
自引率
3.20%
发文量
195
审稿时长
3 months
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.
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