O43: CLINICAL IMPACT OF GENE FUSIONS IN BREAST CANCER BRAIN METASTASES

Introduction

The incidence of brain metastases is increasing despite longer survival rates for patients with advanced breast cancer. The identification of novel therapeutic targets for these patients is an urgent unmet clinical need. Sequencing of metastatic tumours have largely focused on mutations however gene fusions have an important, yet underappreciated role in tumorigenesis and disease progression. In this study, we investigate the role of gene fusions in brain metastatic disease and their impact on altered therapeutic responses.

Method

RNA sequencing was performed on the largest reported cohort of patient matched primary and resected brain metastatic tumours (45 patients n=90 samples). Expressed gene fusions were detected computationally using STAR-Fusion and Arriba.

Result

We identified differential gene fusion burden in brain metastatic tumours (medium of 58) vs. primary breast tumours (medium of 38) (p < 0.05). Enrichment for fusions in pathways associated with tumour cell plasticity and proliferation with recurrent fusions in known cancer driver genes related to MAPK, HER signaling identified. Of note, a fusion in CDK12 is of clinical importance. Increased genomic alterations and over expression of CDK12 is associated with brain metastases free survival in an independent cohort of primary breast tumours with a recorded history of brain metastases. It has been proposed that inhibition of CDK12 may induce BRCAness in tumours making them sensitive to PARP inhibition.

Conclusion

These results highlight the significant role of gene fusions in breast cancer brain metastases.

Abbreviations

MAPK Mitogen Activated Protein Kinase, HER Human Epidermal Receptor, CDK12 Cyclin Dependent Kinase 12

Take-home message

We highlight the significant role of gene fusions in breast cancer brain metastases and offer specific actionable genomic alterations to be exploited.

Molecular subtype, biological sex and age shape melanoma tumour evolution

BACKGROUND

Many cancer types display sex and age disparity in incidence and outcome. The mutational load of tumours, including melanoma, varies according to sex and age. However, there are no tools to explore systematically whether clinical variables such as age and sex determine the genomic landscape of cancer.

OBJECTIVES

To establish a mathematical approach using melanoma mutational data to analyse how sex and age shape the tumour genome.

METHODS

We model how age-related (clock-like) somatic mutations that arise during cell division, and extrinsic (environmental ultraviolet radiation) mutations accumulate in cancer genomes.

RESULTS

Melanoma is driven primarily by cell-intrinsic age-related mutations and extrinsic ultraviolet radiation-induced mutations, and we show that these mutation types differ in magnitude and chronology and by sex in the distinct molecular melanoma subtypes. Our model confirms that age and sex are determinants of cellular mutation rate, shaping the final mutation composition. We show mathematically for the first time how, similarly to noncancer tissues, melanoma genomes reflect a decline in cell division during ageing. We find that clock-like mutations strongly correlate with the acquisition of ultraviolet-induced mutations, but critically, men present a higher number and rate of cell-division-linked mutations.

CONCLUSIONS

These data indicate that the contribution of environmental damage to melanoma likely extends beyond genetic damage to affect cell division. Sex and age determine the final mutational composition of melanoma.

Meta-analysis of the molecular associations of mucinous colorectal cancer

BACKGROUND

Mucinous differentiation occurs in 5-15 per cent of colorectal adenocarcinomas. This subtype of colorectal cancer responds poorly to chemoradiotherapy and has a worse prognosis. The genetic aetiology underpinning this cancer subtype lacks consensus. The aim of this study was to use meta-analytical techniques to clarify the molecular associations of mucinous colorectal cancer.

METHODS

This study adhered to MOOSE guidelines. Databases were searched for studies comparing KRAS, BRAF, microsatellite instability (MSI), CpG island methylator phenotype (CIMP), p53 and p27 status between patients with mucinous and non-mucinous colorectal adenocarcinoma. A random-effects model was used for analysis.

RESULTS

Data from 46 studies describing 17 746 patients were included. Mucinous colorectal adenocarcinoma was associated positively with KRAS (odds ratio (OR) 1·46, 95 per cent c.i. 1·08 to 2·00, P = 0·014) and BRAF (OR 3·49, 2·50 to 4·87; P < 0·001) mutation, MSI (OR 3·98, 3·30 to 4·79; P < 0·001) and CIMP (OR 3·56, 2·85 to 4·43; P < 0·001), and negatively with altered p53 expression (OR 0·46, 0·31 to 0·67; P < 0·001).

CONCLUSION

The genetic origins of mucinous colorectal adenocarcinoma are predominantly associated with BRAF, MSI and CIMP pathways. This pattern of molecular alterations may in part explain the resistance to standard chemotherapy regimens seen in mucinous adenocarcinoma.

Abstract P3-06-13: Whole exome sequencing of HER2+ metastatic breast cancer (MBC) patients (pts) with extraordinary durable complete responses (ExdCR) to trastuzumab (T)

Background: Trastuzumab (T) has shown clinical efficacy in early-stage and MBC. However, within 1-year 40-50% develop resistance to T. The exact mechanism of the development of T resistance is not completely understood. Anecdotal observations suggest that a small fraction of patients with HER2+ MBC may be "extraordinary durable complete responders (ExdCR)". Indeed, we previously reported that 9% of MBC achieve dCR following T and chemotherapy. Understanding the genomic mechanisms underlying exceptional dCR to T may improve patient selection and treatment rationale to identify HER2+ MBC pts who are more likely to achieve dCR following T treatment.

Methods: Genomic DNA was extracted from paraffin embedded formalin fixed (FFPE) tissue. Whole exome sequencing (WES) on primary tumours from 9 MBC ExdCR &gt; 60 mo (5 matched T:N) and 6 non-responders (NR) or PR &lt; 6 mo (3 matched T:N). Tumours were analysed for single nucleotide variants (SNVs) point mutations, insertions/deletions (indels), copy number alterations (CNA), and tumour mutational burden. Detailed clinicopathologic data was collected for each patient and linked to the genomic information.

Results: WES of matched tumour:normal samples revealed differences in SNVs and indels between the ExdCR pts compared to NR. Mutations in TP53 were found in 2/5 ExdCR pts and in 0/3 NR. Initial analysis of CNA revealed that HER2 is significantly more amplified in ExdCR pts compared to NR, and this was also shown by IHC and FISH.

Conclusions: We present a genomic landscape of extraordinary durable complete responders compared to non-responders using WES. High variability exists in mutation profile of ExdCR pts with few overlapping genes. Further analysis into clinically relevant genomic and molecular alterations will be performed to potential aid in patient selection and choice of therapy, and novel drug targets.

Citation Format: Walsh N, Gullo G, Quinn C, Furney SJ, Crown J. Whole exome sequencing of HER2+ metastatic breast cancer (MBC) patients (pts) with extraordinary durable complete responses (ExdCR) to trastuzumab (T) [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-06-13.

Beyond the exome: the role of non-coding somatic mutations in cancer

The comprehensive identification of mutations contributing to the development of cancer is a priority of large cancer sequencing projects. To date, most studies have scrutinized mutations in coding regions of the genome, but several recent discoveries, including the identification of recurrent somatic mutations in the TERT promoter in multiple cancer types, support the idea that mutations in non-coding regions are also important in tumour development. Furthermore, analysis of whole-genome sequencing data from tumours has elucidated novel mutational patterns and processes etched into cancer genomes. Here, we present an overview of insights gleaned from the analysis of mutations from sequenced cancer genomes. We then review the mechanisms by which non-coding mutations can play a role in cancer. Finally, we discuss recent efforts aimed at identifying non-coding driver mutations, as well as the unique challenges that the analysis of non-coding mutations present in contrast to the identification of driver mutations in coding regions.

A personalised medicine approach for ponatinib-resistant chronic myeloid leukaemia

BACKGROUND

Chronic myeloid leukaemia (CML) is characterised by the presence of a fusion driver oncogene, BCR-ABL1, which is a constitutive tyrosine kinase. Tyrosine kinase inhibitors (TKIs) are the central treatment strategy for CML patients and have significantly improved survival rates, but the T315I mutation in the kinase domain of BCR-ABL1 confers resistance to all clinically approved TKIs, except ponatinib. However, compound mutations can mediate resistance even to ponatinib and remain a clinical challenge in CML therapy. Here, we investigated a ponatinib-resistant CML patient through whole-genome sequencing (WGS) to identify the cause of resistance and to find alternative therapeutic targets.

PATIENTS AND METHODS

We carried out WGS on a ponatinib-resistant CML patient and demonstrated an effective combination therapy against the primary CML cells derived from this patient in vitro.

RESULTS

Our findings demonstrate the emergence of compound mutations in the BCR-ABL1 kinase domain following ponatinib treatment, and chromosomal structural variation data predicted amplification of BCL2. The primary CD34(+) CML cells from this patient showed increased sensitivity to the combination of ponatinib and ABT-263, a BCL2 inhibitor with a negligible effect against the normal CD34(+) cells.

CONCLUSION

Our results show the potential of personalised medicine approaches in TKI-resistant CML patients and provide a strategy that could improve clinical outcomes for these patients.

Whole-genome sequencing reveals complex mechanisms of intrinsic resistance to BRAF inhibition

BACKGROUND

BRAF is mutated in ∼42% of human melanomas (COSMIC. http://www.sanger.ac.uk/genetics/CGP/cosmic/) and pharmacological BRAF inhibitors such as vemurafenib and dabrafenib achieve dramatic responses in patients whose tumours harbour BRAF(V600) mutations. Objective responses occur in ∼50% of patients and disease stabilisation in a further ∼30%, but ∼20% of patients present primary or innate resistance and do not respond. Here, we investigated the underlying cause of treatment failure in a patient with BRAF mutant melanoma who presented primary resistance.

METHODS

We carried out whole-genome sequencing and single nucleotide polymorphism (SNP) array analysis of five metastatic tumours from the patient. We validated mechanisms of resistance in a cell line derived from the patient's tumour.

RESULTS

We observed that the majority of the single-nucleotide variants identified were shared across all tumour sites, but also saw site-specific copy-number alterations in discrete cell populations at different sites. We found that two ubiquitous mutations mediated resistance to BRAF inhibition in these tumours. A mutation in GNAQ sustained mitogen-activated protein kinase (MAPK) signalling, whereas a mutation in PTEN activated the PI3 K/AKT pathway. Inhibition of both pathways synergised to block the growth of the cells.

CONCLUSIONS

Our analyses show that the five metastases arose from a common progenitor and acquired additional alterations after disease dissemination. We demonstrate that a distinct combination of mutations mediated primary resistance to BRAF inhibition in this patient. These mutations were present in all five tumours and in a tumour sample taken before BRAF inhibitor treatment was administered. Inhibition of both pathways was required to block tumour cell growth, suggesting that combined targeting of these pathways could have been a valid therapeutic approach for this patient.

Genome-wide association with MRI atrophy measures as a quantitative trait locus for Alzheimer's disease

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with considerable evidence suggesting an initiation of disease in the entorhinal cortex and hippocampus and spreading thereafter to the rest of the brain. In this study, we combine genetics and imaging data obtained from the Alzheimer's Disease Neuroimaging Initiative and the AddNeuroMed study. To identify genetic susceptibility loci for AD, we conducted a genome-wide study of atrophy in regions associated with neurodegeneration in this condition. We identified one single-nucleotide polymorphism (SNP) with a disease-specific effect associated with entorhinal cortical volume in an intron of the ZNF292 gene (rs1925690; P-value=2.6 × 10(-8); corrected P-value for equivalent number of independent quantitative traits=7.7 × 10(-8)) and an intergenic SNP, flanking the ARPP-21 gene, with an overall effect on entorhinal cortical thickness (rs11129640; P-value=5.6 × 10(-8); corrected P-value=1.7 × 10(-7)). Gene-wide scoring also highlighted PICALM as the most significant gene associated with entorhinal cortical thickness (P-value=6.7 × 10(-6)).