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Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer

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...

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Autores principales: Prat, Aleix, Guarneri, Valentina, Pascual, Tomás, Brasó-Maristany, Fara, Sanfeliu, Esther, Paré, Laia, Schettini, Francesco, Martínez, Débora, Jares, Pedro, Griguolo, Gaia, Dieci, Maria Vittoria, Cortés, Javier, Llombart-Cussac, Antonio, Conte, Benedetta, Marín-Aguilera, Mercedes, Chic, Nuria, 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741424/
https://www.ncbi.nlm.nih.gov/pubmed/34990895
http://dx.doi.org/10.1016/j.ebiom.2021.103801
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author Prat, Aleix
Guarneri, Valentina
Pascual, Tomás
Brasó-Maristany, Fara
Sanfeliu, Esther
Paré, Laia
Schettini, Francesco
Martínez, Débora
Jares, Pedro
Griguolo, Gaia
Dieci, Maria Vittoria
Cortés, Javier
Llombart-Cussac, Antonio
Conte, Benedetta
Marín-Aguilera, Mercedes
Chic, Nuria
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.
author_facet Prat, Aleix
Guarneri, Valentina
Pascual, Tomás
Brasó-Maristany, Fara
Sanfeliu, Esther
Paré, Laia
Schettini, Francesco
Martínez, Débora
Jares, Pedro
Griguolo, Gaia
Dieci, Maria Vittoria
Cortés, Javier
Llombart-Cussac, Antonio
Conte, Benedetta
Marín-Aguilera, Mercedes
Chic, Nuria
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.
author_sort Prat, Aleix
collection PubMed
description 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.
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spelling pubmed-87414242022-01-12 Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer Prat, Aleix Guarneri, Valentina Pascual, Tomás Brasó-Maristany, Fara Sanfeliu, Esther Paré, Laia Schettini, Francesco Martínez, Débora Jares, Pedro Griguolo, Gaia Dieci, Maria Vittoria Cortés, Javier Llombart-Cussac, Antonio Conte, Benedetta Marín-Aguilera, Mercedes Chic, Nuria 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. EBioMedicine Article 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. Elsevier 2022-01-03 /pmc/articles/PMC8741424/ /pubmed/34990895 http://dx.doi.org/10.1016/j.ebiom.2021.103801 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Prat, Aleix
Guarneri, Valentina
Pascual, Tomás
Brasó-Maristany, Fara
Sanfeliu, Esther
Paré, Laia
Schettini, Francesco
Martínez, Débora
Jares, Pedro
Griguolo, Gaia
Dieci, Maria Vittoria
Cortés, Javier
Llombart-Cussac, Antonio
Conte, Benedetta
Marín-Aguilera, Mercedes
Chic, Nuria
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.
Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
title Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
title_full Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
title_fullStr Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
title_full_unstemmed Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
title_short Development and validation of the new HER2DX assay for predicting pathological response and survival outcome in early-stage HER2-positive breast cancer
title_sort development and validation of the new her2dx assay for predicting pathological response and survival outcome in early-stage her2-positive breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741424/
https://www.ncbi.nlm.nih.gov/pubmed/34990895
http://dx.doi.org/10.1016/j.ebiom.2021.103801
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