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A validated survival nomogram for early-onset diffuse gastric cancer

机译:用于早起弥漫性胃癌的验证存活率载体

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摘要

This study aimed to establish and independently validate a prognostic nomogram for individual risk prediction in patients with early-onset diffuse gastric cancer (EODGC). Data for 794 patients with EODGC from the SEER database were randomly assigned to training (N=558) and internal validation (N=236) sets, and data for 82 patients from the Renmin Hospital of Wuhan University (RMHWHU) were used as an independent validation cohort. Our LASSO regression analyses of the training set yielded five clinicopathological features (race, AJCC stage, surgery for primary site, chemotherapy and tumor size), which were used to create a survival nomogram. Our survival nomogram achieved better predictive performance than the AJCC staging system, the current standard. Additionally, the calibration curves of the prognostic nomogram revealed good agreement between the predicted survival probabilities and the ground truth values. Indeed, our nomogram, which estimates individualized survival probabilities for patients with EODGC, shows good predictive accuracy and calibration ability for both the SEER and RMHWHU cohorts. These results suggest that a survival nomogram may be better at predicting OS for EODGC patients than the AJCC staging system.
机译:本研究旨在建立和独立地验证预后鉴定早发弥漫性胃癌(EODGC)的个体风险预测的预后载体。 794患者的数据来自SEER数据库的EODGC患者被随机分配给培训(n = 558),内部验证(n = 236)套,82名来自武汉大学人民医院(RMHWHU)的82名患者的数据被用作独立的验证队列。我们的套索回归分析培训套装产生了五种临床病理学特征(种族,AJCC阶段,用于原发性部位的手术,化疗和肿瘤大小),用于产生生存的墨迹图。我们的生存NOMAROM实现了比AJCC分期系统更好的预测性能,目前的标准。此外,预后墨迹图的校准曲线揭示了预测的生存概率与地面真理值之间的良好一致性。实际上,我们的NOMA图估计了eodgc患者的个性化存活率,显示了SEER和RMHWWHU队列的良好的预测准确性和校准能力。这些结果表明,在EODGC患者预测EODGC患者的SURVAL NOM图可能比AJCC分期系统更好。

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