Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/194403
Title: Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
Author: Prat Aparicio, Aleix
Guarneri, Valentina
Pascual, Tomás
Brasó Maristany, Fara
Sanfeliu, Esther
Paré Brunet, Laia
Schettini, Francesco
Martínez, Debora
Jares Gerboles, Pedro
Griguolo, Gaia
Dieci, Maria Vittoria
Cortés, Javier
Llombart Cussac, Antonio
Conte, Benedetta
Marín Aguilera, Mercedes
Chic, Núria
Puig Butillé, Joan Anton
Martínez, Antonio
Galván, Patricia
Tsai, Yi-Hsuan
González Farré, Blanca
Mira, Aurea
Vivancos, Ana
Villagrasa, Patricia
Parker, Joel S.
Conte, Pierfranco
Perou, Charles M.
Keywords: Expressió gènica
Càncer de mama
Immunitat cel·lular
Tractament adjuvant del càncer
Pronòstic mèdic
Factors de risc en les malalties
Avaluació del risc per la salut
Gene expression
Breast cancer
Cellular immunity
Adjuvant treatment of cancer
Prognosis
Risk factors in diseases
Health risk assessment
Issue Date: 3-Jan-2022
Publisher: Elsevier
Abstract: Background: Both clinical and genomic data independently predict survival and treatment response in early-stage HER2-positive breast cancer. Here we present the development and validation of a new HER2DX risk score, and a new HER2DX pathological complete response (pCR) score, both based on a 27-gene expression plus clinical feature-based classifier. Methods: HER2DX is a supervised learning algorithm incorporating tumour size, nodal staging, and 4 gene expression signatures tracking immune infiltration, tumour cell proliferation, luminal differentiation, and the expression of the HER2 amplicon, into a single score. 434 HER2-positive tumours from the Short-HER trial were used to train a prognostic risk model; 268 cases from an independent cohort were used to verify the accuracy of the HER2DX risk score. In addition, 116 cases treated with neoadjuvant anti-HER2-based chemotherapy were used to train a predictive model of pathological complete response (pCR); two independent cohorts of 91 and 67 cases were used to verify the accuracy of the HER2DX pCR likelihood score. Five publicly available independent datasets with >1,000 patients with early-stage HER2-positive disease were also analysed. Findings: In Short-HER, HER2DX variables were associated with good risk outcomes (i.e., immune, and luminal) and poor risk outcomes (i.e., proliferation, and tumour and nodal staging). In an independent cohort, continuous HER2DX risk score was significantly associated with disease-free survival (DFS) (p=0·002); the 5-year DFS in the low-risk group was 97·4% (94·4-100·0%). For the neoadjuvant pCR predictor training cohort, HER2DX variables were associated with pCR (i.e., immune, proliferation and HER2 amplicon) and non-pCR (i.e., luminal, and tumour and nodal staging). In both independent test set cohorts, continuous HER2DX pCR likelihood score was significantly associated with pCR (p<0·0001). A weak negative correlation was found between the HER2DX risk score versus the pCR score (correlation coefficient -0·19). Interpretation: The two HER2DX tests provide accurate estimates of the risk of recurrence, and the likelihood to achieve a pCR, in early-stage HER2-positive breast cancer. Funding: This study received funding from Reveal Genomics, IDIBAPS and the University of Padova.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.ebiom.2021.103801
It is part of: EBioMedicine, 2022, vol. 75, num. 103801
URI: http://hdl.handle.net/2445/194403
Related resource: https://doi.org/10.1016/j.ebiom.2021.103801
ISSN: 2352-3964
Appears in Collections:Articles publicats en revistes (Medicina)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

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