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早期乳腺癌复发风险和治疗获益的数据驱动估计值的开发与验证

Development and Validation of Data-Driven Estimates of Recurrence Risk and Treatment Benefit in Early Breast Cancer.

作者信息

Sparano Joseph A

机构信息

Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY.

出版信息

J Clin Oncol. 2025 Mar 10;43(8):899-902. doi: 10.1200/JCO-24-02452. Epub 2024 Dec 12.

Abstract

In the article that accompanies this editorial, Pusztai et al describe the development and validation of a new decision aide called “” for women with ER-positive, HER2-negative breast cancer with 1–3 positive axillary nodes and an Oncotype 21-gene Recurrence Score of 0 to 25; the tool provides prognostic information for 5-year invasive disease free survival, and predictive information for chemotherapy benefit, based largely on the RxPONDER trial for development, and an independent real world cohort for validation. This new tool integrates prognostic information for recurrence (ie, age, tumor size, grade, number of positive axillary node, and 21-gene Recurrence Score), and predictive information for chemotherapy benefit provides by the Recurrence Score, facilitating individualized estimates of recurrence risk and chemotherapy benefit.

摘要

在这篇社论所附的文章中,普兹泰等人描述了一种名为“”的新决策辅助工具的开发与验证,该工具针对雌激素受体阳性、人表皮生长因子受体2阴性、腋窝淋巴结1 - 3个阳性且21基因复发评分在0至25之间的乳腺癌女性;该工具提供了5年无侵袭性疾病生存的预后信息,以及化疗获益的预测信息,其开发主要基于RxPONDER试验,并通过一个独立的真实世界队列进行验证。这个新工具整合了复发的预后信息(即年龄、肿瘤大小、分级、腋窝阳性淋巴结数量和21基因复发评分),以及复发评分所提供的化疗获益预测信息,有助于对复发风险和化疗获益进行个体化评估。

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