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Improving Prognosis of Surrogate Assay for Breast Cancer Patients by Absolute Quantitation of Ki67 Protein Levels using Quantitative Dot Blot (QDB) Method

Authors :
Wenfeng Zhang
Jiandi Zhang
Jianbo Zhang
Jiahong Lyu
Yunyun Zhang
Junmei Hao
Yan Lyu
Jiarui Zou
Kui-Sheng Chen
Fangrong Tang
Shuishan Xie
Xunting Wang
Lili Jing
Source :
Frontiers in Oncology, Frontiers in Oncology, Vol 11 (2021)
Publication Year :
2021
Publisher :
Research Square Platform LLC, 2021.

Abstract

BackgroundImmunohistochemistry (IHC)-based surrogate assay is the prevailing method in daily clinical practice to determine the necessity of chemotherapy for Luminal-like breast cancer patients worldwide. It relies on Ki67 scores to separate Luminal A-like from Luminal B-like breast cancer subtypes. Yet, IHC-based Ki67 assessment is known to be plagued with subjectivity and inconsistency to undermine the performance of the surrogate assay. A novel method needs to be explored to improve the clinical utility of Ki67 in daily clinical practice.Materials and MethodsThe Ki67 protein levels in a cohort of 253 specimens were assessed with IHC and quantitative dot blot (QDB) methods, respectively, and used to assign these specimens into Luminal A-like and Luminal B-like subtypes accordingly. Their performances were compared with the Kaplan–Meier, univariate, and multivariate survival analyses of the overall survival (OS) of Luminal-like patients.ResultsThe surrogate assay based on absolutely quantitated Ki67 levels (cutoff at 2.31 nmol/g) subtyped the Luminal-like patients more effectively than that based on Ki67 scores (cutoff at 14%) (Log rank test, p = 0.00052 vs. p = 0.031). It is also correlated better with OS in multivariate survival analysis [hazard ratio (HR) at 6.89 (95% CI: 2.66–17.84, p = 0.0001) vs. 2.14 (95% CI: 0.89–5.11, p = 0.087)].ConclusionsOur study showed that the performance of the surrogate assay may be improved significantly by measuring Ki67 levels absolutely, quantitatively, and objectively using the QDB method.

Details

Database :
OpenAIRE
Journal :
Frontiers in Oncology, Frontiers in Oncology, Vol 11 (2021)
Accession number :
edsair.doi.dedup.....801d36c6eea388f4e6a0eaf7d2fbdadf