Academic Journal

Development and validation for research assessment of Oncotype DX® Breast Recurrence Score, EndoPredict® and Prosigna®

التفاصيل البيبلوغرافية
العنوان: Development and validation for research assessment of Oncotype DX® Breast Recurrence Score, EndoPredict® and Prosigna®
المؤلفون: Richard Buus, Zsolt Szijgyarto, Eugene F. Schuster, Hui Xiao, Ben P. Haynes, Ivana Sestak, Jack Cuzick, Laia Paré, Elia Seguí, Nuria Chic, Aleix Prat, Mitch Dowsett, Maggie Chon U. Cheang
المصدر: npj Breast Cancer, Vol 7, Iss 1, Pp 1-8 (2021)
بيانات النشر: Nature Portfolio, 2021.
سنة النشر: 2021
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: Abstract Multi-gene prognostic signatures including the Oncotype® DX Recurrence Score (RS), EndoPredict® (EP) and Prosigna® (Risk Of Recurrence, ROR) are widely used to predict the likelihood of distant recurrence in patients with oestrogen-receptor-positive (ER+), HER2-negative breast cancer. Here, we describe the development and validation of methods to recapitulate RS, EP and ROR scores from NanoString expression data. RNA was available from 107 tumours from postmenopausal women with early-stage, ER+, HER2− breast cancer from the translational Arimidex, Tamoxifen, Alone or in Combination study (TransATAC) where previously these signatures had been assessed with commercial methodology. Gene expression was measured using NanoString nCounter. For RS and EP, conversion factors to adjust for cross-platform variation were estimated using linear regression. For ROR, the steps to perform subgroup-specific normalisation of the gene expression data and calibration factors to calculate the 46-gene ROR score were assessed and verified. Training with bootstrapping (n = 59) was followed by validation (n = 48) using adjusted, research use only (RUO) NanoString-based algorithms. In the validation set, there was excellent concordance between the RUO scores and their commercial counterparts (r c(RS) = 0.96, 95% CI 0.93–0.97 with level of agreement (LoA) of −7.69 to 8.12; r c(EP) = 0.97, 95% CI 0.96–0.98 with LoA of −0.64 to 1.26 and r c(ROR) = 0.97 (95% CI 0.94–0.98) with LoA of −8.65 to 10.54). There was also a strong agreement in risk stratification: (RS: κ = 0.86, p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2374-4677
Relation: https://doaj.org/toc/2374-4677
DOI: 10.1038/s41523-021-00216-w
URL الوصول: https://doaj.org/article/ab6604a1505e46ae8d5a30ae6561a42c
رقم الانضمام: edsdoj.b6604a1505e46ae8d5a30ae6561a42c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23744677
DOI:10.1038/s41523-021-00216-w