EBioMedicine (Jan 2022)

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

  • Aleix Prat,
  • Valentina Guarneri,
  • Tomás Pascual,
  • Fara Brasó-Maristany,
  • Esther Sanfeliu,
  • Laia Paré,
  • Francesco Schettini,
  • Débora Martínez,
  • Pedro Jares,
  • Gaia Griguolo,
  • Maria Vittoria Dieci,
  • Javier Cortés,
  • Antonio Llombart-Cussac,
  • Benedetta Conte,
  • Mercedes Marín-Aguilera,
  • Nuria Chic,
  • Joan Anton Puig-Butillé,
  • Antonio Martínez,
  • Patricia Galván,
  • Yi-Hsuan Tsai,
  • Blanca González-Farré,
  • Aurea Mira,
  • Ana Vivancos,
  • Patricia Villagrasa,
  • Joel S. Parker,
  • Pierfranco Conte,
  • Charles M. Perou

Journal volume & issue
Vol. 75
p. 103801

Abstract

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Summary: 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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