Development and validation of survival nomograms in elder triple-negative invasive ductal breast carcinoma patients.

IF 2.9 3区医学 Q2 ONCOLOGY

Expert Review of Anticancer Therapy Pub Date : 2024-03-01 Epub Date: 2024-02-23 DOI:10.1080/14737140.2024.2320815

Tao Jiang, Sha Yang, Guanghui Wang, Ying Tan, Shu Liu

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引用次数: 0

Abstract

Background: We aimed to develop a nomogram to predict the overall survival of elderly patients with Triple-negative invasive ductal breast carcinoma (TNIDC).

Research design and methods: 12165 elderly patients with nonmetastatic TNIDC were retrieved from the SEER database from 2010 to 2019 and were randomly assigned to training and validation cohorts. Stepwise Cox regression analysis was used to select variables for the nomogram based on the training cohort. Univariate and multivariate Cox analyses were used to calculate the correlation between variables and prognosis of the patients. Survival analysis was performed for high- and low-risk subgroups based on risk score.

Results: Eleven predictive factors were identified to construct our nomograms. Compared with the TNM stage, the discrimination of the nomogram revealed good prognostic accuracy and clinical applicability as indicated by C-index values of 0.741 (95% CI 0.728-0.754) against 0.708 (95% CI 0.694-0.721) and 0.765 (95% CI 0.747-0.783) against 0.725 (95% CI 0.705-0.744) for the training and validation cohorts, respectively. Differences in OS were also observed between the high- and low-risk groups (p < 0.001).

Conclusion: The proposed nomogram provides a convenient and reliable tool for individual evaluations for elderly patients with M0_stage TNIDC. However, the model may only for Americans.

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开发和验证老年三阴性浸润性导管乳腺癌患者的生存提名图。

研究背景研究设计与方法：我们从2010年至2019年的SEER数据库中检索了12165名非转移性TNIDC老年患者，并将其随机分配到训练队列和验证队列中。在训练队列的基础上，采用逐步 Cox 回归分析法为提名图选择变量。单变量和多变量 Cox 分析用于计算变量与患者预后之间的相关性。根据风险评分对高风险亚组和低风险亚组进行了生存分析：结果：我们确定了 11 个预测因素来构建我们的提名图。与 TNM 分期相比，提名图的判别显示出良好的预后准确性和临床适用性，训练组和验证组的 C 指数值分别为 0.741（95% CI 0.728-0.754）对 0.708（95% CI 0.694-0.721）和 0.765（95% CI 0.747-0.783）对 0.725（95% CI 0.705-0.744）。高危组和低危组的 OS 也存在差异（P所提出的提名图为M0_期TNIDC老年患者的个体评估提供了一个方便可靠的工具。不过，该模型可能只适用于美国人。

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

Expert Review of Anticancer Therapy 医学-肿瘤学

CiteScore

5.10

自引率

3.00%

发文量

100

审稿时长

4-8 weeks

期刊介绍： Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches. Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care. Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections: Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points.