Predictive Role of TP53, PIK3CA and MLL2 in ER+ HER2+ Breast Bancer: Biomarker Analysis of Neo-ALL-IN [NCT 01275859]

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Abstract

Background/Aim: Somatic mutations were investigated in 21 patients with postmenopausal estrogen receptor (ER)-positive and human epidermal growth factor receptor-2 (HER-2)-positive (ER+HER2+) breast cancer (BC) treated with neoadjuvant letrozole and lapatinib, to identify their distinct molecular landscape. Patients and Methods: We used tissue samples of 21 patients from phase II Neo ALL-IN cohort, and somatic alterations were examined using targeted exome sequencing performed in Foundation Medicine, Inc. (FMI). Results: TP53 (61.9%) and PIK3CA (57.1%) were the two most frequently mutated genes that were inter-correlated (p=0.026). They were associated with unfavorable clinical outcomes, particularly when accompanying PIK3CA mutations at exon 9 in helical domains. Meanwhile, MLL2 alteration was negatively associated with mutations of TP53 or PIK3CA, and it tended to be present in patients with low KI-67 levels and no initial nodal involvement. Moreover, patients with MLL2 mutations numerically showed more favorable overall response rates (ORR) (80% vs. 56.2%) and better 5-year event-free survival (EFS) rates (100% vs. 87.5%) compared to the wild-type. Conclusion: Mutations in TP53 and PIK3CA hotspot at exon 9 may be potential negative predictors of ER+HER2+ BC treated with neoadjuvant letrozole and lapatinib, while MLL2 inactivating mutation might confer therapeutic benefit in these patients.

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Park, J. H., Ahn, J. H., Kim, J. E., Jung, K. H., Gong, G., Lee, H. J., … Kim, S. B. (2020). Predictive Role of TP53, PIK3CA and MLL2 in ER+ HER2+ Breast Bancer: Biomarker Analysis of Neo-ALL-IN [NCT 01275859]. Anticancer Research, 40(10), 5883–5893. https://doi.org/10.21873/anticanres.14608

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