Associations of the HER2DX Genomic Test with Biological and Pathologic Features in HER2-Positive Breast Cancer.
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Sanfeliu Esther, Martínez-Romero Anabel, Marín-Aguilera Mercedes, Cobo Sandra, González-Farré Blanca, Hernandez-Illan Eva, Jares Pedro, Puig-Butillé Joan Antón, Muñoz Montserrat, Gómez-Bravo Raquel, Tapia Marta, Tebar Cristina, Saura Cristina, Escrivà-de-Romaní Santiago, Soberino Jesús, Cortés Javier, Morales Serafin, Amillano Kepa, Paré Laia, Villagrasa Patricia, Buckingham Wesley, Pardo Francisco, Parker Joel S, Brasó-Maristany Fara, Ciruelos Eva, Sánchez-Bayona Rodrigo, Martinez-Sáez Olga, Cejalvo Juan Miguel, Prat Aleix
Аннотация
EXPERIMENTAL DESIGN: Patients with newly diagnosed stage I to III HER2+ breast cancer were analyzed based on available HER2DX results during routine care in Spain (January 2022-June 2025). Centralized HER2DX testing was performed on formalin-fixed, paraffin-embedded tumor samples. Histopathologic analysis included tumor grade, hormone receptor status, histologic subtype, Ki67 index, HER2 IHC score, stromal tumor-infiltrating lymphocytes (TIL), tertiary lymphoid structures, and spatial immune distribution. Univariate and multivariable logistic regression analyses were conducted to identify factors associated with pCR after neoadjuvant trastuzumab-based therapy.
RESULTS: A total of 410 HER2+ tumors were analyzed, and 250 patients received neoadjuvant trastuzumab-based therapy with available surgical outcomes (36% achieved a pCR). HER2DX pCR scores were significantly associated with all eight histopathologic features, whereas relapse risk and ERBB2 scores were associated with five and two, respectively. TIL correlated with the immune/immunoglobulin signature (r = 0.59), and Ki67 with the proliferation signature (r = 0.50). The HER2DX pCR score remained the only independent predictor of pCR in multivariable analysis (OR, 1.77; 95% confidence interval, 1.08-2.97; P = 0.030).
CONCLUSIONS: HER2DX reflects key biological and pathologic features of HER2+ breast cancer and independently predicts pCR, supporting its utility for individualized treatment decision-making.