Lymph Node Ratio after Neoadjuvant Chemotherapy for Stage II/III Breast Cancer: Prognostic Value Measured with Gini's Mean Difference of Restricted Mean Survival Times.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Cancer Informatics Pub Date : 2021-10-12 eCollection Date: 2021-01-01 DOI:10.1177/11769351211051675
Bhumsuk Keam, Olena Gorobets, Vincent Vinh-Hung, Seock-Ah Im
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引用次数: 1

Abstract

Restricted mean survival time (RMST), recommended for reporting survival, lacks a tool to evaluate multilevel factors. The potential of the Gini's mean difference of RMSTs (Δ) is explored in a comparison of a lymph node ratio-based classification (LNRc) versus a number-based classification (ypN) applied to stage II/III breast cancer patients who received neoadjuvant chemotherapy and underwent axillary dissection. Number of positive nodes (npos) classified patients into ypN0, npos = 0, ypN1, npos = [1,3], ypN2, npos = [4,9], and ypN3, npos ⩾ 10. Ratio npos/(number of nodes examined) of 0, (0,0.20], (0.20,0.65], and >0.65, classified patients into Lnr0 to Lnr3, respectively. Unadjusted and Cox-adjusted RMSTs were computed for the ypN and LNRc's. At a follow-up time horizon of 72 months for 114 node-negative and 254 node-positive patients, unadjusted ypN0-ypN3 RMSTs were 62.4-41.4 months, Δ = 11.9 months (95%CI: 7.4-16.9), and Lnr0-Lnr3 62.4 to 36.3 months, Δ = 14.0 months (95%CI: 10.1-18.1). Cox models' ypN1-ypN3 hazard ratios were 1.81-3.30, and Lnr1-Lnr3 1.52-4.39. Δ from Cox-fitted survival were ypN 8.1 months (95%CI: 5.9-10.5), LNRc 10.5 months (95%CI: 8.4-12.8). In conclusion, Gini's mean difference is applicable to well established data in keeping with the literature on LNRc. It provides an alternative view on the improvement gained with a lymph node ratio-classification over using a number-classification.

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II/III期乳腺癌新辅助化疗后淋巴结比例:用限制平均生存时间的基尼平均差衡量预后价值
限制平均生存时间(RMST),推荐用于报告生存,缺乏评估多水平因素的工具。在对接受新辅助化疗并进行腋窝清扫的II/III期乳腺癌患者进行基于淋巴结比例的分类(LNRc)与基于数字的分类(ypN)的比较中,探讨RMSTs的基尼平均差异(Δ)的潜力。阳性淋巴结数(npos)将患者分为ypN0, npos = 0, ypN1, npos = [1,3], ypN2, npos =[4,9]和ypN3, npos小于或等于10。npos/(检查淋巴结数)比值为0、(0,0.20)、(0.20,0.65)和>0.65,分别将患者分为Lnr0和Lnr3。计算ypN和LNRc的未经调整和cox调整的rmst。114例淋巴结阴性和254例淋巴结阳性患者的随访时间为72个月,未调整的ypN0-ypN3 RMSTs为62.4-41.4个月,Δ = 11.9个月(95%CI: 7.4-16.9), Lnr0-Lnr3为62.4- 36.3个月,Δ = 14.0个月(95%CI: 10.1-18.1)。Cox模型的ypN1-ypN3风险比为1.81 ~ 3.30,Lnr1-Lnr3风险比为1.52 ~ 4.39。通过cox -拟合生存Δ, ypN为8.1个月(95%CI: 5.9-10.5), LNRc为10.5个月(95%CI: 8.4-12.8)。综上所述,基尼平均差值适用于与LNRc文献一致的成熟数据。它提供了另一种观点,以改善获得与淋巴结比例分类使用数字分类。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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