临床特征分析和预后性脑图用于预测第二次前列腺癌患者的存活率:基于SEER数据库的人口研究
Ruiyi Deng1, Jingcheng Zhou1, Jianhui Qiu1
1Department of Urology, Peking University First Hospital, 8 Xishiku Street, Beijing, 100034, People's Republic of China.
Journal of cancer research and clinical oncology
|July 5, 2023
概括
这项研究确定了预测第二原发性前列腺癌 (SPPCa) 患者的存活率的关键因素. 开发了名图,以准确评估SPPCa的预后和帮助治疗决策.
科学领域:
- 在瘤学瘤学.
- 癌症研究 癌症研究
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
背景情况:
- 二次原发性前列腺癌 (SPPCa) 是一种重要的二次恶性瘤,影响患者的治疗结果.
- 确定预后因素对于改善SPPCa患者管理至关重要.
研究的目的:
- 在SPPCa患者中确定总生存 (OS) 和癌症特异性生存 (CSS) 的独立预后因素.
- 开发和验证用于SPPCa预后的预测名ograms.
主要方法:
- 利用监测,流行病学和最终结果 (SEER) 数据库识别了5342名SPPCa患者 (2010-2015年).
- 使用考克斯回归,卡普兰-梅尔分析和LASSO回归来确定预后因素.
- 使用一致性指数 (C指数),AUC,校准曲线和生存分析验证的诺莫格拉姆表现.
主要成果:
- 确定年龄,诊断间隔,第一个主要瘤部位,AJCC阶段,N阶段,M阶段,PSA,格里森得分和SPPCa手术作为独立的预后因素.
- 开发出具有出色预测准确性的名ograms:OS的C指数为0.733和CSS为0.838.
- 通过AUC,校准曲线和卡普兰-梅尔分析证实了诺莫грам的性能.
结论:
- 在SPPCa患者中成功建立和验证了用于预测OS和CSS的诺姆图.
- 这些名图是风险分层和预后评估的有效工具.
- 这些名录图将帮助临床医生优化SPPCa患者的治疗策略.
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