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Gladstone DJ, Dorian P, Spring M, Panzov V, Mamdani M, Healey JS, Thorpe KE, Aviv R, Boyle K, Blakely J, Cote R, Hall J, Kapral M, Kozlowski N, Laupacis A, O’Donnell M, Sabihuddin K, Sharma M, Shuaib A, Vaid H, Pinter A, Abootalebi S, Chan R, Crann S, Fleming L, Frank C, Hachinski V, Hesser K, Kumar B, Soros P, Wright M, Basile V, Boyle K, Hopyan J, Rajmohan Y, Swartz R, Vaid H, Valencia G, Ween J, Aram H, Barber P, Coutts S, Demchuk A, Fischer K, Hill M, Klein G, Kenney C, Menon B, McClelland M, Russell A, Ryckborst K, Stys P, Smith E, Watson T, Chacko S, Sahlas D, Sancan J, Côté R, Durcan L, Ehrensperger E, Minuk J, Wein T, Wadup L, Asdaghi N, Beckman J, Esplana N, Masigan P, Murphy C, Tang E, Teal P, Villaluna K, Woolfenden A, Yip S, Bussière M, Dowlatshahi D, Sharma M, Stotts G, Robert S, Ford K, Hackam D, Miners L, Mabb T, Spence JD, Buck B, Griffin-Stead T, Jassal R, Siddiqui M, Hache A, Lessard C, Lebel F, Mackey A, Verreault S, Astorga C, Casaubon LK, del Campo M, Jaigobin C, Kalman L, Silver FL, Atkins L, Coles K, et alGladstone DJ, Dorian P, Spring M, Panzov V, Mamdani M, Healey JS, Thorpe KE, Aviv R, Boyle K, Blakely J, Cote R, Hall J, Kapral M, Kozlowski N, Laupacis A, O’Donnell M, Sabihuddin K, Sharma M, Shuaib A, Vaid H, Pinter A, Abootalebi S, Chan R, Crann S, Fleming L, Frank C, Hachinski V, Hesser K, Kumar B, Soros P, Wright M, Basile V, Boyle K, Hopyan J, Rajmohan Y, Swartz R, Vaid H, Valencia G, Ween J, Aram H, Barber P, Coutts S, Demchuk A, Fischer K, Hill M, Klein G, Kenney C, Menon B, McClelland M, Russell A, Ryckborst K, Stys P, Smith E, Watson T, Chacko S, Sahlas D, Sancan J, Côté R, Durcan L, Ehrensperger E, Minuk J, Wein T, Wadup L, Asdaghi N, Beckman J, Esplana N, Masigan P, Murphy C, Tang E, Teal P, Villaluna K, Woolfenden A, Yip S, Bussière M, Dowlatshahi D, Sharma M, Stotts G, Robert S, Ford K, Hackam D, Miners L, Mabb T, Spence JD, Buck B, Griffin-Stead T, Jassal R, Siddiqui M, Hache A, Lessard C, Lebel F, Mackey A, Verreault S, Astorga C, Casaubon LK, del Campo M, Jaigobin C, Kalman L, Silver FL, Atkins L, Coles K, Penn A, Sargent R, Walter C, Gable Y, Kadribasic N, Schwindt B, Shuaib A, Kostyrko P, Selchen D, Saposnik G, Christie P, Jin A, Hicklin D, Howse D, Edwards E, Jaspers S, Sher F, Stoger S, Crisp D, Dhanani A, John V, Levitan M, Mehdiratta M, Wong D. Atrial Premature Beats Predict Atrial Fibrillation in Cryptogenic Stroke. Stroke 2015; 46:936-41. [DOI: 10.1161/strokeaha.115.008714] [Show More Authors] [Citation(s) in RCA: 132] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Jones MR, Lim H, Shen Y, Pleasance E, Ch'ng C, Reisle C, Leelakumari S, Zhao C, Yip S, Ho J, Zhong E, Ng T, Ionescu D, Schaeffer DF, Mungall AJ, Mungall KL, Zhao Y, Moore RA, Ma Y, Chia S, Ho C, Renouf DJ, Gelmon K, Jones SJM, Marra MA, Laskin J. Successful targeting of the NRG1 pathway indicates novel treatment strategy for metastatic cancer. Ann Oncol 2018; 28:3092-3097. [PMID: 28950338 DOI: 10.1093/annonc/mdx523] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background NRG1 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 methods Here, 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. Results Both tumors 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 been described previously. 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. Conclusion These 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 information Personalized Oncogenomics (POG) Program of British Columbia: Utilization of Genomic Analysis to Better Understand Tumour Heterogeneity and Evolution (NCT02155621).
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Pleasance E, Bohm A, Williamson LM, Nelson JMT, Shen Y, Bonakdar M, Titmuss E, Csizmok V, Wee K, Hosseinzadeh S, Grisdale CJ, Reisle C, Taylor GA, Lewis E, Jones MR, Bleile D, Sadeghi S, Zhang W, Davies A, Pellegrini B, Wong T, Bowlby R, Chan SK, Mungall KL, Chuah E, Mungall AJ, Moore RA, Zhao Y, Deol B, Fisic A, Fok A, Regier DA, Weymann D, Schaeffer DF, Young S, Yip S, Schrader K, Levasseur N, Taylor SK, Feng X, Tinker A, Savage KJ, Chia S, Gelmon K, Sun S, Lim H, Renouf DJ, Jones SJM, Marra MA, Laskin J. Whole genome and transcriptome analysis enhances precision cancer treatment options. Ann Oncol 2022; 33:939-949. [PMID: 35691590 DOI: 10.1016/j.annonc.2022.05.522] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/03/2022] [Accepted: 05/31/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Recent advances are enabling delivery of precision genomic medicine to cancer clinics. While the majority of approaches profile panels of selected genes or hotspot regions, comprehensive data provided by whole genome and transcriptome sequencing and analysis (WGTA) presents an opportunity to align a much larger proportion of patients to therapies. PATIENTS AND METHODS Samples from 570 patients with advanced or metastatic cancer of diverse types enrolled in the Personalized OncoGenomics (POG) program underwent WGTA. DNA-based data, including mutations, copy number, and mutation signatures, were combined with RNA-based data, including gene expression and fusions, to generate comprehensive WGTA profiles. A multidisciplinary molecular tumour board used WGTA profiles to identify and prioritize clinically actionable alterations and inform therapy. Patient responses to WGTA-informed therapies were collected. RESULTS Clinically actionable targets were identified for 83% of patients, 37% of whom received WGTA-informed treatments. RNA expression data were particularly informative, contributing to 67% of WGTA-informed treatments; 25% of treatments were informed by RNA expression alone. Of a total 248 WGTA-informed treatments, 46% resulted in clinical benefit. RNA expression data were comparable to DNA-based mutation and copy number data in aligning to clinically beneficial treatments. Genome signatures also guided therapeutics including platinum, PARP inhibitors, and immunotherapies. Patients accessed WGTA-informed treatments through clinical trials (19%), off-label use (35%), and as standard therapies (46%) including those which would not otherwise have been the next choice of therapy, demonstrating the utility of genomic information to direct use of chemotherapies as well as targeted therapies. CONCLUSIONS Integrating RNA expression and genome data illuminated treatment options that resulted in 46% of treated patients experiencing positive clinical benefit, supporting the use of comprehensive WGTA profiling in clinical cancer care. CLINICAL TRIAL NUMBER NCT02155621.
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