Successful targeting of the NRG1 pathway indicates novel treatment strategy for metastatic cancer

Abstract

BackgroundNRG1 fusion-positive lung cancers have emerged as potentially actionable events in lung cancer but clinical support is currently limited and no evidence of efficacy of this approach in cancers beyond lung has been shown.Patients and MethodsHere we describe two patients with advanced cancers refractory to standard therapies. Patient 1 had lung adenocarcinoma and patient 2 cholangiocarcinoma. Whole-genome and transcriptome sequencing were carried out for these cases with select findings validated by fluorescence in situ hybridization.ResultsBoth tumours were found to be positive for NRG1 gene fusions. In patient 1 an SDC4-NRG1 gene fusion was detected, similar gene fusions having been described in lung cancers previously. In patient 2 a novel ATP1B1-NRG1 gene fusion was detected. Cholangiocarcinoma is not a disease type in which NRG1 fusions had previously been described. Integrative genome analysis was used to assess the potential functional significance of the detected genomic events including the gene fusions, prioritizing therapeutic strategies targeting the HER-family of growth factor receptors. Both patients were treated with the pan HER-family kinase inhibitor afatinib and both displayed significant and durable response to treatment. Upon progression sites of disease were sequenced. The lack of obvious genomic events to describe the disease progression indicated that broad transcriptomic or epigenetic mechanisms could be attributed to the lack of prolonged response to afatinib.ConclusionThese observations lend further support to the use of pan HER-tyrosine kinase inhibitors for the treatment of NRG1 fusion-positive in both cancers of lung and hepatocellular origin and indicate more broadly that cancers found to be NRG1 fusion-positive may benefit from such a clinical approach regardless of their site of origin.Clinical trial informationPersonalized Oncogenomics (POG) Program of British Columbia: Utilization of Genomic Analysis to Better Understand Tumour Heterogeneity and Evolution (NCT02155621)

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