Abstract GS1-04: Copy number aberration analysis to predict response to neoadjuvant anti-HER2 therapy: Results from the NeoALTTO phase III trial

Abstract

Abstract Background In the NeoALTTO trial, the combination of trastuzumab and lapatinib for the neoadjuvant treatment of HER2 positive early breast cancer patients (pts) nearly doubled the rate of pathological complete response (pCR) compared with either anti-HER2 treatment alone. In the same trial, pCR was shown to be a surrogate for long-term outcome. Expression of ERBB2, ESR1 and immune signatures were the main drivers of pCR (Fumagalli et al. JAMA Oncol 2016). The main aim of the current study was to investigate the relevance of copy number aberrations (CNAs) for pCR and event-free survival (EFS). Methods For 271 out of the 455 pts enrolled in the study with sufficient tumour content, DNA was hybridized on CytoScan HD arrays. The log2 ratio intensities and B allele frequencies were segmented jointly using the multitrack segmentation algorithm. Integer level estimates of total copy number and major allele were obtained using GAP. Recurrent CNAs were found with GISTIC2. The genome instability index (GII) was defined as the median absolute deviation of the normalized copy number. Tumor infiltrating lymphocytes (TILs) and gene expression were obtained as described previously. The correlations between differents parameters were assessed using Spearman correlations (ρ). The Mann-Whitney test was used to relate binary and numerical features. EFS analysis was performed using the Cox proportional hazard model. Results CNAs estimates were obtained for 185 out of 271 pts. CNA distribution was similar to the ones observed in HER2+ pts from the METABRIC and the TCGA datasets. There were 64% of diploid pts, 26% of triploid and 9% of tetraploid or more. Aneuploidy level was not associated with pCR or EFS. Of interest, there were many significant differences in CNA profiles between ER+ and ER- pts. Those differences mirror those observed between ER+ and ER- among HER2- pts in TCGA (ρ=63%) and METABRIC (ρ=56%). ERBB2 amplification was predictive of high pCR (p=0.0007), albeit less so than ERBB2 expression, and ceased to be significant correcting for ERBB2 expression. The pCR rate increased with the GII (p=0.03), independently of ERBB2 amplification. The effect was stronger in ER+ patients (p=0.01). GISTIC analysis revealed 159 recurrent CNA regions. Amplification of 2 regions on 6q23-24 was significantly associated with higher pCR (p=0.00005 and p=0.00087, FDR=0.006 and 0.05). The most significant segment of 6q23-24 contained 39 genes, some whose expression level also predicted pCR (e.g. MAP3K5, p=10<sup style="font-family: Calibri;">-4). Gene ontology analysis of the genes correlated with this segment highlighted the category 'response to interferon-alpha' (p=4.3x10<sup style="font-family: Calibri;">-7). No amplified region or gene was found to be predictive of EFS, after multiple testing correction. Conclusions The amplification of ERBB2 was shown to be predictive of pCR, however its expression was more predictive. High genomic instability was associated with higher rate of pCR in ER+ subgroup. Of interest, a novel amplified region, involving chromosome 6 was shown to be predictive of pCR, which may warrant further investigation. Citation Format: Sotiriou C, Rothé F, Maetens M, Fumagalli D, Brown DN, Salgado R, Bradbury I, Pusztai L, Harbeck N, Ignatiadis M, Sarp S, de la Pena L, de Azambuja E, Huober J, Nuciforo P, Baselga J, Piccart M, Loi S, Venet D. Copy number aberration analysis to predict response to neoadjuvant anti-HER2 therapy: Results from the NeoALTTO phase III trial [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr GS1-04.