Lymph Node Ratio after Neoadjuvant Chemotherapy for Stage II/III Breast Cancer

Citation Author(s):
Bhumsuk
Keam
Olena
Gorobets
Vincent
Vinh-Hung
Seock-Ah
Im
Submitted by:
Vincent Vinh-Hung
Last updated:
Thu, 10/14/2021 - 21:53
DOI:
10.21227/mg5y-7c64
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Abstract 

From manuscript: 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.

Bhumsuk Keam, Olena Gorobets, Vincent Vinh-Hung, Seock-Ah Im.

https://doi.org/10.1177/11769351211051675

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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Breast cancer Neoadjuvant chemotherapy

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Comments

The manuscript exploring the data has been published:
https://doi.org/10.1177/11769351211051675

Submitted by Vincent Vinh-Hung on Thu, 10/14/2021 - 21:54

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