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Clinical decision impact of HER2DX, an algorithm-powered genomic diagnostic in early-stage HER2-positive breast cancer: results from a prospective real-world study

O. Martínez-Sáez, Marta Tapia, Mercedes Marín‐Aguilera, E. Hernández-Illán, Cristina Tebar, Ana Isabel Martínez-Puchol, Pedro Jares, S. Marín-Liébana, A. Magro, Joan Anton Puig‐Butillé, Laura Palomar, Esther Sanfeliu, María Teresa Martínez, M.V. Losada, Cristina Hernándo, Bárbara Adamo, Vega Iranzo, T. Pascual, Athanasios Pouptsis, F. Schettini, Ana Santaballa, B. Conte, María Dolores Torregrosa, Fara Brasó‐Maristany, Benjamín Walbaum, R. Gómez-Bravo, Octavio Burgués, Isabel García-Fructuoso, Iris Garrido‐Cano, Elia Seguí, L. Paré, Montserrat Muñoz-Mateu, Esther Carcelero, J. Sànchez, Patricia Villagrasa, William Buckingham, Aleix Prat, Guillermo Villacampa, Núria Chic, Pablo Rivera, M.A. Rezqallah Aron, C. Saura, Santiago Escrivá-de-Romaní, Begoña Bermejo, A. Lluch, Antonio Llombart‐Cussac, Juan Miguel Cejalvo

2025ESMO Real World Data and Digital Oncology11 citationsDOIOpen Access PDF

Abstract

Background HER2DX is a clinically available genomic assay that provides prognostic (relapse risk score), predictive [pathological complete response (pCR) likelihood score], and ERBB2 expression data in stage I-III human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). This real-world study evaluated its clinical impact. Patients and methods This prospective study enrolled newly diagnosed patients with stage I-III HER2-positive BC across 12 hospitals in Spain (November 2021-September 2024). Thirty-four oncologists ordered HER2DX and completed questionnaires before and after receiving results to assess treatment changes (primary objective). Secondary objectives included evaluating the HER2DX pCR likelihood score association with pCR, test turnaround time, changes in physician confidence regarding treatment decisions, and cost-effectiveness. Results Among 297 recruited patients, 48.1% (95% confidence interval 42.5% to 53.7%) experienced treatment adjustments after HER2DX. Within these cases, 73.5% involved reduced treatment intensity, 24.5% involved increased treatment intensity, and the remaining cases (2.0%) involved mixed adjustments. Of the cases with reduced treatment intensity, 56.2% had a reduction in chemotherapy intensity, 26.7% had a reduction in anti-HER2 therapy, and 17.1% in both. Among the 182 patients with available pathological data at surgery, the pCR likelihood score was a significant predictor of pCR ( P < 0.001). In 69 patients with pCR-high disease, less intensive treatment achieved similar pCR rates compared with multi-agent chemotherapy (81.5% versus 69.0%; odds ratio=1.97, P = 0.256). Physician confidence improved ( P < 0.001) and the estimated total cost savings, including direct drug costs, vein access devices, and HER2DX costs, amounted to €98 031. Conclusions HER2DX impacts clinical management in stage I-III HER2-positive BC by supporting treatment adjustments, enhancing physician confidence, maintaining pCR rates, and reducing health care costs.

Topics & Concepts

Stage (stratigraphy)Breast cancerCancerMedicineOncologyAlgorithmInternal medicineArtificial intelligenceComputer scienceBiologyPaleontologyHER2/EGFR in Cancer ResearchAdvanced Breast Cancer TherapiesBreast Cancer Treatment Studies
Clinical decision impact of HER2DX, an algorithm-powered genomic diagnostic in early-stage HER2-positive breast cancer: results from a prospective real-world study | Litcius