Whole-exome sequencing of long-term, never relapse exceptional responders of trastuzumab-treated HER2+ metastatic breast cancer

Naomi Walsh, Charlotte Andrieu, Peter O'Donovan, Cecily Quinn, Alanna Maguire, Simon J Furney, Giuseppe Gullo, John Crown, Naomi Walsh, Charlotte Andrieu, Peter O'Donovan, Cecily Quinn, Alanna Maguire, Simon J Furney, Giuseppe Gullo, John Crown

Abstract

Trastuzumab has significantly improved the overall survival of patients with HER2+ metastatic breast cancer (MBC). However, outcomes can vary, with patients progressing within 1 year of treatment or exceptional cases of complete response to trastuzumab for ≥10 years. Identification of the underlying genomic aberrations of "exceptional responders (ExRs)" compared to "rapid non-responders (NRs)" increases our understanding of the mechanisms involved in MBC progression and identification of biomarkers of trastuzumab response and resistance. Whole-exome sequencing was performed on six ExRs compared to five NR. The overall fraction of genome copy number alteration (CNA) burden was higher in NR patients (P = 0.07), while more significantly pronounced in copy number gains (P = 0.03) in NR compared to ExRs. Delineation of the distribution of CNA burden across the genome identified a greater degree of CNA burden in NR within Chr8 (P = 0.02) and in Chr17 (P = 0.06) and conferred a statistically significant benefit in overall survival. Clinical trial number: NCT01722890 [ICORG 12/09].

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1. Results of CNA burden on…
Fig. 1. Results of CNA burden on ExRs and NRs and overall survival outcome.
a Total overall genome-wide CNA burden. b Fraction of genome gained. c Fraction of genome lost. d Individual chromosome CNA burden in Chr8 and Chr17 in non-responder (NR) and exceptional responder (ExRs) genomes. e Kaplan–Meier overall survival curves of cases dichotomised by exceptional responder and non-responder. f Total CNA burden, low CNA (total CNA burden < median) and high CNA (total CNA ≥ median). g Overall CNA burden on Chr8, low CNA (Chr8 total CNA burden < median) and high CNA (Chr8 total CNA burden ≥ median). h Overall CNA burden on Chr17, low CNA (Chr17 total CNA burden < median) and high CNA (Chr17 total CNA burden ≥ median).

References

    1. Slamon DJ, Leyland-Jones B, Shak S, Fuchs H, Paton V, Bajamonde A, et al. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N. Engl. J. Med. 2001;344:783–792. doi: 10.1056/NEJM200103153441101.
    1. Swain SM, Baselga J, Kim SB, Ro J, Semiglazov V, Campone M, Ciruelos E, et al. Pertuzumab, trastuzumab, and docetaxel in HER2-positive metastatic breast cancer. N. Engl. J. Med. 2015;372:724–734. doi: 10.1056/NEJMoa1413513.
    1. Gullo G, Zuradelli M, Sclafani F, Santoro A, Crown J. Durable complete response following chemotherapy and trastuzumab for metastatic HER2-positive breast cancer. Ann. Oncol. 2012;23:2204–2205. doi: 10.1093/annonc/mds221.
    1. Gámez-Pozo A, Pérez Carrión RM, Manso L, Crespo C, Mendiola C, López-Vacas R, et al. The Long-HER Study: clinical and molecular analysis of patients with HER2+ advanced breast cancer who become long-term survivors with trastuzumab-based therapy. PLoS ONE. 2014;9:e109611. doi: 10.1371/journal.pone.0109611.
    1. Pereira B, Chin SF, Rueda OM, Moen Vollan HK, Provenzano E, Bardwell HA, et al. The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes. Nat. Commun. 2016;7:11479. doi: 10.1038/ncomms11479.
    1. Ciriello G, Miller ML, Aksoy BA, Senbabaoglu Y, Schultz N, Sander C, et al. Emerging landscape of oncogenic signatures across human cancers. Nat. Genet. 2013;45:1127–1133. doi: 10.1038/ng.2762.
    1. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26:589–595. doi: 10.1093/bioinformatics/btp698.
    1. Depristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 2011;43:491–501. doi: 10.1038/ng.806.
    1. D’Aurizio R, Pippucci T, Tattini L, Giusti B, Pellegrini M, Magi A, et al. Enhanced copy number variants detection from whole-exome sequencing data using EXCAVATOR2. Nucleic Acids Res. 2016;44:e154.
    1. Mayakonda A, Lin DC, Assenov Y, Plass C, Koeffler HP. Maftools: efficient and comprehensive analysis of somatic variants in cancer. Genome Res. 2018;28:1747–1756. doi: 10.1101/gr.239244.118.
    1. Mroz EA, Rocco JW. MATH, a novel measure of intratumor genetic heterogeneity, is high in poor-outcome classes of head and neck squamous cell carcinoma. Oral. Oncol. 2013;49:211–215. doi: 10.1016/j.oraloncology.2012.09.007.
    1. Yarchoan M, Hopkins A, Jaffee EM. Tumor mutational burden and response rate to PD-1 inhibition. N. Engl. J. Med. 2017;377:2500–2501. doi: 10.1056/NEJMc1713444.
    1. Zhang L, Feizi N, Chi C, Hu P. Association analysis of somatic copy number alteration burden with breast cancer survival. Front. Genet. 2018;9:421. doi: 10.3389/fgene.2018.00421.
    1. Schmid S, Klingbiel D, Aebi S, Goldhirsch A, Mamot C, Munzone E, et al. Long-term responders to trastuzumab monotherapy in first-line HER-2+ advanced breast cancer: characteristics and survival data. BMC Cancer. 2019;19:902. doi: 10.1186/s12885-019-6105-3.

Source: PubMed

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