Longitudinal profiling identifies co-occurring BRCA1/2 reversions, TP53BP1, RIF1 and PAXIP1 mutations in PARP inhibitor-resistant advanced breast cancer

BACKGROUND

Resistance to therapies that target homologous recombination deficiency (HRD) in breast cancer limits their overall effectiveness. Multiple, preclinically validated, mechanisms of resistance have been proposed, but their existence and relative frequency in clinical disease are unclear, as is how to target resistance.

PATIENTS AND METHODS

Longitudinal mutation and methylation profiling of circulating tumour (ct)DNA was carried out in 47 patients with metastatic BRCA1-, BRCA2- or PALB2-mutant breast cancer treated with HRD-targeted therapy who developed progressive disease-18 patients had primary resistance and 29 exhibited response followed by resistance. ctDNA isolated at multiple time points in the patient treatment course (before, on-treatment and at progression) was sequenced using a novel >750-gene intron/exon targeted sequencing panel. Where available, matched tumour biopsies were whole exome and RNA sequenced and also used to assess nuclear RAD51.

RESULTS

BRCA1/2 reversion mutations were present in 60% of patients and were the most prevalent form of resistance. In 10 cases, reversions were detected in ctDNA before clinical progression. Two new reversion-based mechanisms were identified: (i) intragenic BRCA1/2 deletions with intronic breakpoints; and (ii) intragenic BRCA1/2 secondary mutations that formed novel splice acceptor sites, the latter being confirmed by in vitro minigene reporter assays. When seen before commencing subsequent treatment, reversions were associated with significantly shorter time to progression. Tumours with reversions retained HRD mutational signatures but had functional homologous recombination based on RAD51 status. Although less frequent than reversions, nonreversion mechanisms [loss-of-function (LoF) mutations in TP53BP1, RIF1 or PAXIP1] were evident in patients with acquired resistance and occasionally coexisted with reversions, challenging the notion that singular resistance mechanisms emerge in each patient.

CONCLUSIONS

These observations map the prevalence of candidate drivers of resistance across time in a clinical setting, information with implications for clinical management and trial design in HRD breast cancers.

Abstract S4-02: Integrated genomic analyses of members of protein kinase C family identifies subtype specific alterations as novel therapeutic targets

Introduction

Members of the protein kinase C family are serine/threonine kinases that are involved in proliferation, apoptosis, cell survival and migration, and have been implicated in tumorigenesis. Recently PRKCE has been found to be up-regulated in triple-negative (TN) breast cancers and has been proposed as a target for therapeutic intervention. The aims of this study were to determine i) whether different members of the PKC family are dysregulated and/ or mutated in specific subtypes of breast cancer, ii) to investigate the impact of silencing or overexpression of members of the PKC family in cell line models representative of the different breast cancer subtypes.

Material and methods:

We obtained expression and mutational data from the cancer genome atlas (TCGA) project from 567 and 640 samples subjected to microarray-based gene expression profiling and whole exome sequencing, respectively. Pair-wise SAM analysis of TCGA gene expression data was performed to identify differential expression between subgroups (ER+, HER2+ and TN). Potential driver mutations were identified through the algorithm CHASM. Subtype specific dependencies were identified from the re-analysis of publicly available siRNA kinome-wide screens in a panel of 20 breast cancer cell lines. In vitro assessment of gene overexpression was assessed in MCF10A cells by wound healing scratch assays and 3D growth in Matrigel.

Results

PRKCA, B, I and Q were expressed at significantly higher levels in TN breast cancers. Higher expression of PRKCE was significantly associated with ER-negativity, whereas high PRKCD expression was associated with ER-positivity. Analysis of siRNA kinome-wide screen data resulted in a significant reduction in survival associated with PRKCI and PRKCE in ER-negative cells, PRKCQ in triple-negative cells, and PRKCD in ER-positive cells. Furthermore meta-analysis of published exome and whole genome sequencing data identified potentially activating recurrent kinase domain mutations in PRKCB (0.93%), Q (1.25%) and Z (0.93%), with mutations in PRKCZ being associated with higher gene expression. Forced expression of wild-type PRKCQ and PRKCZ in MCF10A cells resulted in the formation of irregular acini in 3D cell culture and expression of wild-type PRKCZ resulted in increased migration.

Conclusions

Differential expression of members of the protein kinase C family, are associated with different molecular subtypes of breast cancer. Furthermore, we have shown that breast cancer cells are dependent upon expression of these family members in vitro, which are associated with different cellular phenotypes.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr S4-02.

Integrative molecular and functional profiling of ERBB2-amplified breast cancers identifies new genetic dependencies

Overexpression of the receptor tyrosine kinase ERBB2 (also known as HER2) occurs in around 15% of breast cancers and is driven by amplification of the ERBB2 gene. ERBB2 amplification is a marker of poor prognosis, and although anti-ERBB2-targeted therapies have shown significant clinical benefit, de novo and acquired resistance remains an important problem. Genomic profiling has demonstrated that ERBB2+ve breast cancers are distinguished from ER+ve and 'triple-negative' breast cancers by harbouring not only the ERBB2 amplification on 17q12, but also a number of co-amplified genes on 17q12 and amplification events on other chromosomes. Some of these genes may have important roles in influencing clinical outcome, and could represent genetic dependencies in ERBB2+ve cancers and therefore potential therapeutic targets. Here, we describe an integrated genomic, gene expression and functional analysis to determine whether the genes present within amplicons are critical for the survival of ERBB2+ve breast tumour cells. We show that only a fraction of the ERBB2-amplified breast tumour lines are truly addicted to the ERBB2 oncogene at the mRNA level and display a heterogeneous set of additional genetic dependencies. These include an addiction to the transcription factor gene TFAP2C when it is amplified and overexpressed, suggesting that TFAP2C represents a genetic dependency in some ERBB2+ve breast cancer cells.