1
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Lau SC, Perdrizet K, Fung AS, Mata DGM, Weiss J, Holzapfel N, Liu G, Bradbury PA, Shepherd FA, Sacher AG, Feilotter H, Sheffield B, Hwang D, Tsao MS, Cheng S, Cheema P, Leighl NB. Programmed Cell Death Protein 1 Inhibitors and MET Targeted Therapies in NSCLC With MET Exon 14 Skipping Mutations: Efficacy and Toxicity as Sequential Therapies. JTO Clin Res Rep 2023; 4:100562. [PMID: 37744308 PMCID: PMC10514105 DOI: 10.1016/j.jtocrr.2023.100562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/10/2023] [Accepted: 08/12/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction NSCLC with MET exon 14 skipping mutation (METex14) is associated with poor outcomes. Integration of novel targeted therapies is challenging because of barriers in testing and drug access. We, therefore, sought to characterize the treatment patterns, outcomes, and emerging issues of treatment sequencing in patients with METex14-mutant NSCLC. Methods We reviewed all NSCLC cases with METex14 alterations between 2014 and 2020 across four Canadian cancer centers. Demographics, disease characteristics, systemic therapy, overall response rates (ORRs), survival, and toxicity were summarized. Results Among 64 patients with METex14-mutant NSCLC, the median overall survival was 23.1 months: 127.0 months in stage 1, 27.3 months in resected stage 2 and 3, and 16.6 months in unresectable stage 3 or 4 disease, respectively. In patients with advanced disease, 22% were too unwell for systemic treatment. MET tyrosine kinase inhibitors (TKIs) were administered to 28 patients with an ORR of 33%, median progression-free survival of 2.7 months, and 3.8 months for selective TKIs. Programmed cell death protein-1 (PD-1) inhibitors were given to 25 patients-the ORR was 44% and progression-free survival was 10.6 months. No responses were seen with subsequent MET TKIs after initial TKI treatment. Grade 3 or higher toxicities occurred in 64% of patients who received MET TKI after PD-1 inhibitors versus 8% in those who did not receive PD-1 inhibitors. Conclusions Many patients with advanced METex14 NSCLC were too unwell to receive treatment. PD-1 inhibitors seem effective as an initial treatment, although greater toxicity was seen with subsequent MET TKIs. Thus, timely testing for METex14 skipping and initial therapy are imperative to improving patient survival.
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Affiliation(s)
- Sally C.M. Lau
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Oncology, Laura and Isaac Perlmutter Cancer Center, New York University (NYU) Langone Health, NYU Grossman School of Medicine, New York, New York
| | - Kirstin Perdrizet
- William Osler Health System, Brampton Civic Hospital, Brampton Ontario, Canada
| | - Andrea S. Fung
- Department of Medical Oncology, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Queen’s University, Kingston, Ontario, Canada
| | - Danilo Giffoni M.M. Mata
- Department of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jessica Weiss
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Nick Holzapfel
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Geoffrey Liu
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Penelope A. Bradbury
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Frances A. Shepherd
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Adrian G. Sacher
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Harriet Feilotter
- Department of Pathology, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Queen’s University, Kingston, Ontario, Canada
| | - Brandon Sheffield
- William Osler Health System, Brampton Civic Hospital, Brampton Ontario, Canada
| | - David Hwang
- Department of Pathology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Ming Sound Tsao
- Department of Pathology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Susanna Cheng
- Department of Medical Oncology, Cancer Centre of Southeastern Ontario, Kingston Health Sciences Centre, Queen’s University, Kingston, Ontario, Canada
| | - Parneet Cheema
- William Osler Health System, Brampton Civic Hospital, Brampton Ontario, Canada
| | - Natasha B. Leighl
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
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2
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Stockley TL, Lo B, Box A, Gomez Corredor A, DeCoteau J, Desmeules P, Feilotter H, Grafodatskaya D, Hawkins C, Huang WY, Izevbaye I, Lepine G, Papadakis AI, Park PC, Sheffield BS, Tran-Thanh D, Yip S, Sound Tsao M. Consensus Recommendations to Optimize the Detection and Reporting of NTRK Gene Fusions by RNA-Based Next-Generation Sequencing. Curr Oncol 2023; 30:3989-3997. [PMID: 37185415 PMCID: PMC10136625 DOI: 10.3390/curroncol30040302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/21/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023] Open
Abstract
The detection of gene fusions by RNA-based next-generation sequencing (NGS) is an emerging method in clinical genetic laboratories for oncology biomarker testing to direct targeted therapy selections. A recent Canadian study (CANTRK study) comparing the detection of NTRK gene fusions on different NGS assays to determine subjects’ eligibility for tyrosine kinase TRK inhibitor therapy identified the need for recommendations for best practices for laboratory testing to optimize RNA-based NGS gene fusion detection. To develop consensus recommendations, representatives from 17 Canadian genetic laboratories participated in working group discussions and the completion of survey questions about RNA-based NGS. Consensus recommendations are presented for pre-analytic, analytic and reporting aspects of gene fusion detection by RNA-based NGS.
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3
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Ji L, Moghal N, Zou X, Fang Y, Hu S, Wang Y, Tsao MS. The NRF2 antagonist ML385 inhibits PI3K-mTOR signaling and growth of lung squamous cell carcinoma cells. Cancer Med 2023; 12:5688-5702. [PMID: 36305267 PMCID: PMC10028163 DOI: 10.1002/cam4.5311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/11/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Lung squamous cell carcinoma (LUSC) currently has limited therapeutic options because of the relatively few validated targets and the lack of clinical drugs for some of these targets. Although NRF2/NFE2L2 pathway activation commonly occurs in LUSC, NRF2 has predominantly been studied in other cancer models. Here, we investigated the function of NRF2 in LUSC, including in organoid models, and we explored the activity of a small molecule NRF2 inhibitor ML385, which has not previously been investigated in LUSC. METHODS We first explored the role of NRF2 signaling in LUSC cancer cell line and organoid proliferation through NRF2 knockdown or ML385 treatment, both in vivo and in vitro. Next, we performed Western blot and immunofluorescence assays to determine the effect of NRF2 inhibition on PI3K-mTOR signaling. Finally, we used cell viability and clonogenic assays to explore whether ML385 could sensitize LUSC cancer cells to PI3K inhibitors. RESULTS We find that downregulation of NRF2 signaling inhibited proliferation of LUSC cancer cell lines and organoids, both in vivo and in vitro. We also demonstrate that inhibition of NRF2 reduces PI3K-mTOR signaling, with two potential mechanisms being involved. Although NRF2 promotes AKT phosphorylation, it also acts downstream of AKT to increase RagD protein expression and recruitment of mTOR to lysosomes after amino acid stimulation. We also find that ML385 potentiates LUSC growth inhibition by a pan-PI3K inhibitor, which correlates with stronger inhibition of PI3K-mTOR signaling. CONCLUSIONS Our data provide additional support for NRF2 promoting LUSC growth through PI3K-mTOR activation and support development of NRF2 inhibitors for the treatment of LUSC.
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Affiliation(s)
- Lili Ji
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Nadeem Moghal
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Xinru Zou
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Yixuan Fang
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Shuning Hu
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Yuhui Wang
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ming Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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4
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Stockley TL, Lo B, Box A, Corredor AG, DeCoteau J, Desmeules P, Feilotter H, Grafodatskaya D, Greer W, Hawkins C, Huang WY, Izevbaye I, Lépine G, Martins Filho SN, Papadakis AI, Park PC, Riviere JB, Sheffield BS, Spatz A, Spriggs E, Tran-Thanh D, Yip S, Zhang T, Torlakovic E, Tsao MS. CANTRK: A Canadian Ring Study to Optimize Detection of NTRK Gene Fusions by Next-Generation RNA Sequencing. J Mol Diagn 2023; 25:168-174. [PMID: 36586421 DOI: 10.1016/j.jmoldx.2022.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/01/2022] [Accepted: 12/06/2022] [Indexed: 12/29/2022] Open
Abstract
The Canadian NTRK (CANTRK) study is an interlaboratory comparison ring study to optimize testing for neurotrophic receptor tyrosine kinase (NTRK) fusions in Canadian laboratories. Sixteen diagnostic laboratories used next-generation sequencing (NGS) for NTRK1, NTRK2, or NTRK3 fusions. Each laboratory received 12 formalin-fixed, paraffin-embedded tumor samples with unique NTRK fusions and two control non-NTRK fusion samples (one ALK and one ROS1). Laboratories used validated protocols for NGS fusion detection. Panels included Oncomine Comprehensive Assay v3, Oncomine Focus Assay, Oncomine Precision Assay, AmpliSeq for Illumina Focus, TruSight RNA Pan-Cancer Panel, FusionPlex Lung, and QIAseq Multimodal Lung. One sample was withdrawn from analysis because of sample quality issues. Of the remaining 13 samples, 6 of 11 NTRK fusions and both control fusions were detected by all laboratories. Two fusions, WNK2::NTRK2 and STRN3::NTRK2, were not detected by 10 laboratories using the Oncomine Comprehensive or Focus panels, due to absence of WNK2 and STRN3 in panel designs. Two fusions, TPM3::NTRK1 and LMNA::NTRK1, were challenging to detect on the AmpliSeq for Illumina Focus panel because of bioinformatics issues. One ETV6::NTRK3 fusion at low levels was not detected by two laboratories using the TruSight Pan-Cancer Panel. Panels detecting all fusions included FusionPlex Lung, Oncomine Precision, and QIAseq Multimodal Lung. The CANTRK study showed competency in detection of NTRK fusions by NGS across different panels in 16 Canadian laboratories and identified key test issues as targets for improvements.
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Affiliation(s)
- Tracy L Stockley
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Advanced Molecular Diagnostics Laboratory, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
| | - Bryan Lo
- Department of Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Adrian Box
- Alberta Precision Labs, Calgary, Alberta, Canada
| | | | - John DeCoteau
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Patrice Desmeules
- IUCPQ-UL, Quebec Heart and Lung Institute, Quebec City, Quebec, Canada
| | - Harriet Feilotter
- Kingston Health Sciences Centre, Kingston, Ontario, Canada; Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada
| | - Daria Grafodatskaya
- Hamilton Health Sciences Centre, Hamilton, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Wenda Greer
- Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
| | - Cynthia Hawkins
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Weei Yuarn Huang
- Nova Scotia Health Authority, Halifax, Nova Scotia, Canada; Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Iyare Izevbaye
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | | | - Sebastiao N Martins Filho
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | | | - Paul C Park
- Shared Health Manitoba, Winnipeg, Manitoba, Canada
| | | | | | - Alan Spatz
- Lady Davis Institute, Jewish General Hospital, Montreal, Quebec, Canada
| | | | - Danh Tran-Thanh
- CHUM-Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - Stephen Yip
- BC Cancer, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Tong Zhang
- Advanced Molecular Diagnostics Laboratory, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Emina Torlakovic
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Ming Sound Tsao
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
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5
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Mino-Kenudson M, Schalper K, Cooper W, Dacic S, Hirsch FR, Jain D, Lopez-Rios F, Tsao MS, Yatabe Y, Beasley MB, Yu H, Sholl LM, Brambilla E, Chou TY, Connolly C, Wistuba I, Kerr KM, Lantuejoul S. Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective from the IASLC Pathology Committee. J Thorac Oncol 2022; 17:1335-1354. [PMID: 36184066 DOI: 10.1016/j.jtho.2022.09.109] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 10/14/2022]
Abstract
Immunotherapy including immune checkpoint inhibitors (ICIs) has become the backbone of treatment for the majority of lung cancers with advanced or metastatic disease. In addition, they have increasingly been used for early-stage tumors in neoadjuvant and adjuvant settings. Unfortunately, however, only a subset of patients experiences meaningful response to ICIs. While PD-L1 protein expression by immunohistochemistry (IHC) has played a role as the principle predictive biomarker for immunotherapy, its performance may not be optimal, and it suffers multiple practical issues with different companion diagnostic assays approved. Similarly, tumor mutation burden (TMB) has multiple technical issues as a predictive biomarker for ICIs. Now, ongoing research on tumor and host immune-specific factors has identified immunotherapy biomarkers that may provide better response and prognosis prediction, in particular in a multimodal approach. This review by the IASLC Pathology Committee provides an overview of various immunotherapy biomarkers including updated data on PD-L1 IHC and TMB, and assesssments of neoantigens, genetic and epigenetic signatures, immune microenvironment by IHC and transcriptomics, as well as microbiome and pathological response to neoadjuvant immunotherapies. The aim of this review is to underline the efficacy of new individual or combined predictive biomarkers beyond PD-L1 IHC and TMB.
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Affiliation(s)
- Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA
| | - Kurt Schalper
- Department of Pathology, Yale University School of Medicine, New Haven, CT
| | - Wendy Cooper
- Royal Prince Alfred Hospital, NSW Health Pathology and University of Sydney, Camperdown, Australia
| | - Sanja Dacic
- Department of Pathology, Yale University School of Medicine, New Haven, CT
| | - Fred R Hirsch
- Center for Thoracic Oncology, The Tisch Cancer Institute, New York, New York; Ichan School of Medicine, Mount Sinai Health System, New York, NY, USA
| | - Deepali Jain
- All India Institute of Medical Sciences, New Delhi, India
| | - Fernando Lopez-Rios
- Department of Pathology, "Doce de Octubre" University Hospital, Madrid, Spain
| | - Ming Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | | | - Mary Beth Beasley
- Ichan School of Medicine, Mount Sinai Health System, New York, NY, USA
| | - Hui Yu
- Center for Thoracic Oncology, The Tisch Cancer Institute, New York, New York; Ichan School of Medicine, Mount Sinai Health System, New York, NY, USA
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA
| | | | | | - Casey Connolly
- International Association for the Study of Lung Cancer, Denver, CO, USA
| | - Ignacio Wistuba
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keith M Kerr
- Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom
| | - Sylvie Lantuejoul
- Université Grenoble Alpes, Grenoble, France; Centre Léon Bérard Unicancer, Lyon, France.
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6
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Garcia-Pardo M, Czarnecka K, Law JH, Salvarrey A, Fernandes R, Fan J, Corke L, Waddell TK, Yasufuku K, Donahoe LL, Pierre A, Le LW, Ghumman N, Liu G, Shepherd FA, Bradbury P, Sacher A, Stockley T, Pal P, Rogalla P, Tsao MS, Leighl NB. Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy. Ther Adv Med Oncol 2022; 14:17588359221126151. [PMID: 36158638 PMCID: PMC9500258 DOI: 10.1177/17588359221126151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/26/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction: Molecular profiling of tumor tissue is the gold standard for treatment decision-making in advanced non-small cell lung cancer (NSCLC). Results may be delayed or unavailable due to insufficient tissue, prolonged wait times for biopsy, pathology assessment and testing. We piloted the use of plasma testing in the initial diagnostic workup for patients with suspected advanced lung cancer. Methods: Patients with ⩽15 pack-year smoking history and suspected advanced lung cancer referred to the lung cancer rapid diagnostic program underwent plasma circulating-tumor DNA testing using a DNA-based mutation panel. Tissue testing was performed per standard of care, including comprehensive next-generation sequencing (NGS). The primary endpoint was time from diagnostic program referral to cancer treatment in stage IV NSCLC patients (Cohort A) compared to a contemporary cohort not enrolled in the study (Cohort B) and an historical pre-COVID cohort referred to the program between 2018 and 2019 (Cohort C). Results: From January to June 2021, 20 patients were enrolled in Cohort A; median age was 70.5 years (range 33–87), 70% were female, 55% Caucasian, 85% never smokers, and 75% were diagnosed with NSCLC. Seven had actionable alterations detected in plasma or tissue (4/7 concordant). Fusions, not tested in plasma, were identified by immunohistochemistry for three patients. Mean result turnaround time was 17.8 days for plasma NGS and 23.6 days for tissue (p = 0.10). Mean time from referral to treatment initiation was significantly shorter in cohort A at 32.6 days (SD 13.1) versus 62.2 days (SD 31.2) in cohort B and 61.5 days (SD 29.1) in cohort C, both p < 0.0001. Conclusion: Liquid biopsy in the initial diagnostic workup of patients with suspected advanced NSCLC can lead to faster molecular results and shorten time to treatment even with smaller DNA panels. An expansion study using comprehensive NGS plasma testing with faster turnaround time is ongoing (NCT04862924).
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Affiliation(s)
- Miguel Garcia-Pardo
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Kasia Czarnecka
- Division of Respirology, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Jennifer H Law
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Alexandra Salvarrey
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, CanadaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Roxanne Fernandes
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jason Fan
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Lucy Corke
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Thomas K Waddell
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Laura L Donahoe
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Andrew Pierre
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Noor Ghumman
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Geoffrey Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Frances A Shepherd
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Penelope Bradbury
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Adrian Sacher
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Tracy Stockley
- Department of Laboratory Medicine and Pathobiology, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Prodipto Pal
- Department of Laboratory Medicine and Pathobiology, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Patrik Rogalla
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Ming Sound Tsao
- Department of Laboratory Medicine and Pathobiology, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Natasha B Leighl
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, 7-913 700 University Avenue, Toronto, ON M5G 1Z5, Canada
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7
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Nicholson AG, Scagliotti G, Tsao MS, Yatabe Y, Travis WD. 2021 WHO Classification of Lung Cancer: A Globally Applicable and Molecular Biomarker-Relevant Classification. J Thorac Oncol 2022; 17:e80-e83. [PMID: 36031295 DOI: 10.1016/j.jtho.2022.07.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 07/10/2022] [Indexed: 01/11/2023]
Affiliation(s)
- Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Harefield Hospitals, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom.
| | | | - Ming Sound Tsao
- Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
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8
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Garcia Pardo M, Czarnecka K, Law JH, Salvarrey AM, Fernandes R, Fan J, Corke L, Le LW, Waddell TK, Yasufuku K, Liu G, Shepherd FA, Bradbury PA, Sacher AG, Stockley T, Pal P, Tsao MS, Howarth K, Pipinikas C, Leighl NB. Plasma first: Accelerating lung cancer diagnosis through liquid biopsy. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.3039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3039 Background: Molecular profiling of tumor tissue is the gold standard for treatment decision making in advanced non-small cell lung cancer. Results may be delayed or unavailable due to insufficient tissue samples or prolonged wait times for biopsy, pathology assessment and testing. We piloted the use of plasma molecular testing as part of the initial diagnostic work-up for patients with suspected advanced lung cancer (NCT04863924). Methods: Patients with radiologic evidence of advanced lung cancer referred to the lung rapid diagnostic program underwent plasma circulating tumor DNA (ctDNA) testing using InVisionFirst-Lung, a next-generation sequencing (NGS) assay targeting 37 genes. Standard tissue testing was performed with comprehensive NGS (Oncomine). The primary endpoint was time to treatment in stage IV NSCLC patients compared to an historical pre-COVID-19 cohort (2018-9). Secondary endpoints included actionable targets identified in plasma, % of patients starting targeted therapy based on liquid biopsy and result turnaround time (TAT). Results: Between July 1 to December 31, 2021, 60 patients were enrolled. Median age was 70 years (range 33-91), 52% were female, 57% Caucasian, 48% never smokers. Of these, 73% had NSCLC, 12% small cell, 10% non-lung pathology and 5% declined tissue biopsy. Of 44 NSCLC patients, 5 (11%) had early-stage disease and underwent curative therapy. Most stage IV patients (79%) had systemic treatment. Median time to treatment initiation in the study cohort was 34 days (n = 31, range 10-90) versus 62 days (n = 101, range 13-159) in the historical cohort (p<0.0001). Two thirds (N = 23) of stage IV NSCLC patients had actionable alterations identified, (30% in current/ex-smokers); 18 started targeted therapy including 10 based on plasma results before tissue results were available. Median TAT was 7 days for plasma from blood draw to reporting (range 4-14) and 26 days for tissue molecular testing (range 11-42), p<0.0001. Concordance was high between plasma and tissue testing (70%). Liquid biopsy identified actionable alterations for 3 patients not identified by tissue NGS. In 4 cases, plasma testing failed to identify actionable alterations detected in tissue, due to undetectable plasma ctDNA. Conclusions: Liquid biopsy in the initial diagnostic workup of patients with suspected advanced NSCLC leads to faster molecular results and shortens time to treatment compared to tissue testing alone. Supplementing the current standard of tissue molecular testing with a plasma-first approach during the diagnostic work up of patients with suspected advanced lung cancer may increase access to precision medicine and improve patient outcomes. Clinical trial information: NCT04863924. [Table: see text]
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Affiliation(s)
- Miguel Garcia Pardo
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Kasia Czarnecka
- Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Jennifer H. Law
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | - Roxanne Fernandes
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jason Fan
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Lucy Corke
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Lisa W Le
- University Health Network, Toronto, ON, Canada
| | - Thomas K. Waddell
- Division of Thoracic Surgery, University Health Network, University of Toronto, Toronto, ON, Canada
| | | | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - Tracy Stockley
- University Health Network, Genome Diagnostics, Laboratory Medicine Program, Toronto, ON, Canada
| | - Prodipto Pal
- Department of Laboratory Medicine and Pathology, University Health Network, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | | | - Natasha B. Leighl
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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9
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Behera M, Joseph G, Rupji M, Huang Z, Bunn B, Wynes M, Switchenko JM, Scagliotti GV, Higgins KA, Tsao MS, Belani CP, Sequist LV, Ramalingam SS. Molecular testing and patterns of treatment in patients with NSCLC: An IASLC analysis of ASCO CancerLinQ Discovery Data. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9128 Background: Precision medicine has resulted in improved outcomes for non-small cell lung cancer (NSCLC); while molecular testing is considered critical for guiding treatment decisions for advanced stage NSCLC, adoption of testing in routine practice is variable. We analyzed the factors contributing to molecular testing and treatment patterns in patients with lung cancer. Methods: The ASCO CancerLinQ Discovery dataset was queried to identify patients diagnosed with lung cancer between the years 2010-2018. Data on demographics, tumor stage, histology and treatments were extracted, and receipt of molecular testing was investigated as the primary outcome. Univariate association of each clinicopathological variable with molecular testing outcome was performed using chi-square test for categorical variables and ANOVA test for numerical variables. A multivariable logistic regression analysis with backward selection at an alpha of 0.05 was reported. All analyses were conducted using SAS 9.4. Results: A total of 37,925 NSCLC patients with stage IV disease were analyzed. Patient characteristics: median age 65 years, 51% male, 68% white, 33.5% adenocarcinoma. Approximately 22% of all NSCLC patients had molecular testing results. In adenocarcinoma patients, 49% had molecular testing results available. In the stage IV group, 47% were treated with chemotherapy, 16% with immunotherapy and 3% with targeted therapy. On multivariable analysis, females were more likely to have molecular testing compared to males [(OR: 1.29 (1.22-1.37); p < 0.001]. Compared to White patients, Black patients were less likely to have molecular testing [OR: 0.89 (0.81-0.97); p = 0.009] and Asians were more likely to undergo testing [OR: 2.22 (1.79-2.75); p < 0.001]. Hispanic patients were more likely to undergo molecular testing compared to non-Hispanics [OR:1.24 (1.02-1.52); p = 0.03]. Additionally, treatment with immunotherapy [OR: 1.86 (1.72-2.01); p < 0.001] and targeted therapy [OR: 2.29 (2.00-2.64); p < 0.001] were associated with significantly higher likelihood of having molecular testing. These results were also confirmed on a subgroup analysis of adenocarcinoma patients. Conclusions: In this analysis of a US-based real-world dataset of stage IV NSCLC patients, White race and female sex are associated with higher likelihood of having molecular test performed. The percentage of patients undergoing testing remains sub-optimal.
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Affiliation(s)
| | - Gregory Joseph
- Winship Cancer Institute of Emory University, Atlanta, GA
| | - Manali Rupji
- Winship Cancer Institute, Emory University, Atlanta, GA
| | | | | | - Murry Wynes
- International Association for the Study of Lung Cancer, Aurora, CO
| | | | - Giorgio V. Scagliotti
- Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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10
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Genta S, Tsao MS, Wang BX, Hansen AR, Pugh TJ, Lupien M, Coburn B, Diaz-Mejia J, Butler MO, Bedard PL, Abdul Razak AR, Hakgor S, Speers V, Wagner H, Tamblyn L, Ketela T, Torti D, Radulovich N, Siu LL, Spreafico A. Immune Resistance Interrogation Study (IRIS): A prospective comprehensive multi-omic analysis in patients with intrinsic and acquired resistance to immunotherapy. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.tps2679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS2679 Background: Immune checkpoint inhibitors (ICI) have demonstrated efficacy in a wide variety of cancers. Nevertheless, only a small proportion of patients derive a durable benefit. Mechanisms underlying primary and acquired resistance are still incompletely understood. They comprise tumor-intrinsic factors such as genomic and transcriptomic changes; upregulation of immunosuppressive subsets; T cell exhaustion; and promotion of an immune-tolerant tumor microenvironment. The collection of tumor biopsy at disease progression (PD) is challenging both in clinical and research settings as this often occurs at the time of treatment discontinuation. However, the analysis of these samples can lead to novel strategies to prevent or reverse immune resistance. Thus, the current approach to begin a profiling study with patients at the time of PD on ICI enables access and interrogation of such samples. Methods: IRIS is a prospective, investigator-initiated trial at the Princess Margaret Cancer Centre that aims to extensively characterize the genomic, transcriptomic, epigenetic and immunophenotypic profiles of tumors with primary versus acquired resistance to ICI-based therapy. Primary resistance is defined as PD at the first on-treatment imaging, whereas acquired resistance is defined as PD occurring after an initial partial or complete response or following disease stability lasting ≥6 months. Additional objectives include the evaluation of radiomic parameters on standard radiological imaging, investigation of fecal microbiome, generation of patient-derived organoids and facilitation of data and sample sharing with the research community. The planned samples size is 100 patients. A one-time fresh tumor biopsy, blood and stool samples and archival tissue (when available) are collected at the time of PD on ICI (baseline) from all the participants. Longitudinal blood samples are obtained every 2-3 months (around the time of tumor imaging) until PD in patients receiving a subsequent treatment. Subjects who are not amenable for therapy undergo blood collections at the time of further PD. Molecular characterization of tumor samples includes: DNA/RNA sequencing, Assay of Transposase Accessible Chromatin (ATAC)-sequencing, Cellular Indexing of Transcriptomes and Epitopes (CITE)-sequencing, multiplexed immunohistochemistry and flow cytometry. Results of NGS performed on the first biopsy core are returned to patient and physician. Key eligibility criteria include diagnosis of solid tumor, progression to ICI as the most recent line of treatment and disease amenable to core needle biopsy. The IRIS trial, activated in October 2020, is currently open to enrollment. As of January 2021, 21 patients have been enrolled and a total of 92 tissue cores, 42 blood and 20 stool samples have been collected. Clinical trial information: NCT04243720.
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Affiliation(s)
- Sofia Genta
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Ben X Wang
- Princess Margaret-University Health Network, Toronto, ON, Canada
| | - Aaron Richard Hansen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Trevor John Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Mathieu Lupien
- Princess Margaret Cancer Centre / University Health Network, Toronto, ON, Canada
| | - Bryan Coburn
- Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Javier Diaz-Mejia
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada, Toronto, ON, Canada
| | - Marcus O. Butler
- Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | | | | | - Sevan Hakgor
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | - Heidi Wagner
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada, Toronto, ON, Canada
| | - Laura Tamblyn
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada, Toronto, ON, Canada
| | - Troy Ketela
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada, Toronto, ON, Canada
| | - Dax Torti
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Nikolina Radulovich
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada, Toronto, ON, Canada
| | - Lillian L. Siu
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Anna Spreafico
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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11
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Lau SCM, Perdrizet K, Giffoni de Mello Morais Mata D, Fung AS, Liu G, Bradbury PA, Shepherd FA, Sacher AG, Sheffield B, Hwang D, Tsao MS, Cheng SY, Cheema P, Leighl NB. Sequencing of systemic therapies in advanced NSCLC with MET exon 14 skipping mutation: A multicenter experience. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.e21123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21123 Background: The treatment landscape for patients with metastatic non-small cell lung cancer (mNSCLC) with a MET exon 14 skipping mutation ( MET ex14) is rapidly changing, with recent approvals of MET selective tyrosine kinase inhibitors (TKIs) and reports of durable response to immune checkpoint inhibitors (ICI), particularly among those with sarcomatoid histology. Currently there are no published data that inform the sequencing of TKIs and ICI regimens. We sought to characterize treatment patterns and outcomes in this population at 3 Ontario cancer centres. Methods: We reviewed all mNSCLC patients with MET ex14 identified by tissue or plasma NGS in the last 4 years. Patients with EGFR co-mutation or MET amplification alone were excluded. All systemic therapies and outcomes of overall response (ORR), progression free survival (PFS), overall survival (OS), and adverse events (AEs) were captured. Results: We identified 43 patients with MET alterations, of whom 29 had MET ex14: median age 73 years (54-92), 66% female, 79% non-smokers. Tumor histology was adenocarcinoma in 76%, pleomorphic/sarcomatoid in 21% and adenosquamous in 3% of patients. 69% of patients had PD-L1 ≥50%. At presentation, 20% of patients had high disease burden and ECOG ≥2. Among 15 patients who received ICI, ORR with ICI monotherapy was 45% (10/11 had PD-L1 ≥50%) and ORR with ICI plus chemotherapy was 75% (4/4 had PD-L1 0-49%). Responses were seen in 50% of non-smokers (7/12 had PD-L1 ≥50%). The median PFS with ICI was 10.6 months (1.7-NR). MET TKIs were received by 18 patients (16 crizotinib, 1 capmatinib, 1 cabozantinib), with an ORR of 28% (30% amongst those who received crizotinib first line). The median PFS with TKIs was 2.6 months (1.2-8.9). Median OS for the entire cohort was 24.4 months (10.1-48.3). Patients who received initial ICI (n = 13) compared to those who received initial TKI (n = 11) had significantly longer OS (48.3 vs 13.6 months; p = 0.005), not controlled for prognostic factors. All patients who progressed after ICI (9/13) received further treatment while only 50% of patients who progressed after TKI (8/11) received subsequent therapy. 7 patients received TKI therapy after ICI with a median time to TKI of 35 days (24-181). 6 patients (85.7%) experienced an early grade ≥3 AE (4 transaminitis, 2 pneumonitis) resulting in permanent discontinuation of TKI in half of patients. There were no treatment-related deaths. Conclusions: Patients with MET ex14 NSCLC benefit from ICI irrespective of PD-L1 expression and smoking history. ORR and PFS with earlier generation TKIs (crizotinib) were poor. Increased toxicity is seen when a TKI is used after ICI and careful monitoring is necessary. Future studies focusing on the optimal sequencing of TKIs and ICI-containing therapy should be prioritized, as well as broader access to newer generation MET TKIs with greater activity.
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Affiliation(s)
- Sally C. M. Lau
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | | | | | - Andrea S. Fung
- Cancer Centre of Southeastern Ontario, Kingston, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - David Hwang
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Parneet Cheema
- William Osler Health System, University of Toronto, Toronto, ON, Canada
| | - Natasha B. Leighl
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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12
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Barron CC, Stockley T, Law JH, Shabir M, Fernandes R, Zhang T, Le LW, Tsao MS, Kamel-Reid S, Pal P, Cabanero M, Schwock J, Ko H, Liu G, Bradbury PA, Sacher AG, Shepherd FA, Leighl NB, Perdrizet K. The value of defining molecular resistance in patients with progressive EGFR and ALK-driven lung cancer in a public system. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.3126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3126 Background: Repeat molecular profiling, except to detect EGFR T790M, is not routinely performed in Canadian patients with lung cancer progressing on EGFR tyrosine kinase inhibitors (TKIs). We performed genomic profiling on post-progression biopsies in patients with stage IV non-small cell lung cancer (NSCLC) and known EGFR/ ALK aberrations treated with TKIs to identify resistance mechanisms, evaluate options for subsequent treatment, and to assess clinical trial eligibility and costs. Methods: From Feb 2018-Aug 2020, post-progression tumour biopsies from consenting patients at a major cancer centre underwent genomic profiling (ThermoFisher OCA v3.0 including hotspots, fusions, and copy number variations in 161 cancer-associated genes). Outcomes of interest were the identification of resistance mutations, actionable targets, clinical trial eligibility (per clinicaltrials.gov), and costs. Results: Thirty-two patients consented to the study. Most, 84% (n = 27), had successful testing completed while 16% (n = 5) had insufficient tissue. Median age of the cohort was 56 yrs, 59% (n = 16) were female, 74% (n = 20) were never-smokers, 81% (n = 22) had ECOG performance status 0-1, and 67% (n = 18) were Asian. The majority, 81% (n = 22) had EGFR mutated NSCLC, and had progressed on EGFR TKIs (15 with previously identified T790M had progressed on osimertinib), and 19% (n = 5) had ALK fusions. Patients had received a median of 2 prior lines of targeted therapy prior to re-biopsy (IQR 1.5,3). One patient had evidence of small cell transformation and associated TP53 and RB1 mutations, 11% (n = 3) had acquired EGFR C797S mutations, and 11% (n = 3) had acquired ALK resistance point mutations (G1202R n = 2, I1171N n = 1). Genomic profiling identified additional actionable targets in 19% of patients (n = 5: MET exon 14 skip mutation n = 1, MET amplification n = 2, BRAF V600E n = 2). Overall, 33% (n = 9) patients had management-changing resistance mechanisms identified (small cell transformation n = 1, actionable targets n = 5, ALK inhibitor resistance = 3). New clinical trial options based on genomic profiling results were identified for 67% (n = 18) of patients. Incremental costs for repeat genomic profiling were approximately $880 CAD per case. Conclusions: Molecular profiling upon development of resistance to targeted therapy in our cohort revealed actionable resistance mechanisms for over a third of patients and clinical trial options for 67%. These incremental benefits for patients highlight the importance of routine molecular profiling in the setting of acquired TKI resistance in lung cancer.
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Affiliation(s)
| | - Tracy Stockley
- University Health Network, Genome Diagnostics, Laboratory Medicine Program, Toronto, ON, Canada
| | | | - Muqdas Shabir
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Tong Zhang
- Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Lisa W. Le
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Suzanne Kamel-Reid
- Department of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada
| | - Prodipto Pal
- Department of Laboratory Medicine and Pathology, University Health Network, Toronto, ON, Canada
| | | | | | - Hyangmi Ko
- University Health Network, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Natasha B. Leighl
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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13
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Ryan MI, Weiss J, Fares AF, Tsao MS, Liu G, Bradbury PA, Leighl NB, Shepherd FA, Sacher AG, Lau SCM. Elderly patients with unresectable stage 3 NSCLC treated with definitive chemoradiation with or without durvalumab: Safety and outcomes. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.8547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
8547 Background: Recently, it has been demonstrated that the addition of durvalumab after chemoradiation (CRT) in unresectable stage 3 non-small cell lung cancer (NSCLC) significantly improves overall survival (OS). The benefit of CRT in elderly patients is considered controversial given its increased toxicity. As such, CRT followed by durvalumab in elderly patients may be underutilized despite its demonstrated superiority. The practice pattern at our center is to offer curative treatment unless clearly contraindicated. We sought to investigate the outcomes of elderly patients treated with CRT +/- durvalumab at our center. Methods: We conducted a review of all stage 3 NSCLC patients treated with CRT between 2018 and 2020. Patients were analyzed based on age: < 70 years, ≥70 years. Endpoints evaluated were treatment patterns, toxicity, progression free survival (PFS) and overall survival (OS). Results: We identified 115 stage 3 patients: 44 patients ≥70 years (70-89) and 71 patients < 70 years (34-69). Patients were fit: ECOG 0-1 (98%/97%), mean Charlson comorbidity index (CCI) (1.1/0.9) in elderly vs young patients; p > 0.05. All other baseline characteristics including PD-L1 expression were similar. The chemotherapy regimens (platinum in combination with etoposide, paclitaxel or pemetrexed), dose intensity (97% vs 97%) and percentage of planned cycles received (91% vs 96%) were similar. There were 2 treatment related deaths from CRT among the younger cohort and none in the elderly patients. At the completion of CRT, 75% of elderly and 72% of young patients received durvalumab. Clinician/patient preference was the most common reason for not receiving consolidation durvalumab in older patients (55% vs 25%). The median time to starting durvalumab was 43 days in the elderly and 37 days in young patients (p = 0.19). Durvalumab was well tolerated in the elderly and incidence of grade ≥3 immune-related adverse events was 9% compared to 6% in young patients; p = 0.68. The durvalumab completion rates were 30% in elderly and 24% in young patients; p = 0.22. Median PFS was similar between elderly and young patients (17.9 vs 10.6 months respectively; p = 0.07), even after adjusting for the CCI (HR 0.60; p = 0.07). The 24- and OS rates are also similar (p = 0.93): 77% in elderly and 77% in young patients. Conclusions: Definitive CRT followed by durvalumab can be safely delivered in elderly patients ≥70 years with comparable outcomes. The non-significant trend towards better PFS in elderly patients suggests that only select fit patients are being referred for treatment. In conclusion, all patients should undergo comprehensive oncologic assessment to determine if curative intent treatment can be delivered to avoid undertreatment of elderly patients.
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Affiliation(s)
| | - Jessica Weiss
- University Hospital Network (UHN) Biostatistics Department, Toronto, ON, Canada
| | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Natasha B. Leighl
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Sally C. M. Lau
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
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14
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Kuang S, Lau SCM, Sharma K, Lee J, Ryan MI, Schmid S, Bradbury PA, Liu G, Shepherd FA, Tsao MS, Leighl NB, Sacher AG. Impact of KRAS mutational variant on response to immunotherapy in metastatic NSCLC. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.e21127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21127 Background: KRAS alterations constitute the most common driver mutations in metastatic non-small cell lung cancers (mNSCLC) and occur in approximately 30% of patients. KRAS mutational subtype as well as the presence of co-mutations has been associated with altered activation of downstream signaling pathways in preclinical models. We hypothesize that different KRAS G12C mutational subsets will be associated with variable clinical outcome and response to therapy. To this end, we have performed a retrospective analysis of survival and treatment outcomes by KRAS mutation subtype (G12C vs non-G12C). Methods: A review of KRAS-mutated mNSCLC patients treated with immunotherapy between 2013 and 2020 was conducted. Patient demographics, smoking status, KRAS mutational subtype, co-mutations and PD-L1 status were collected. Overall response rate (ORR) and progression-free survival (PFS) were analyzed in each subgroup. Results: 98 KRAS mutant mNSCLC patients were treated with immune checkpoint inhibitors (ICI): 37% with a KRAS G12C mutation, 62% with a non-G12C mutation. Patients with a G12C mutation were more likely to be of Caucasian ancestry (86% vs 56%; p = 0.01) whereas all other characteristics were similar between the groups including smoking history, PD-L1 expression ≥50% (61% vs 40%) and the presence of a TP53 co-mutation (48% vs. 54%); all p > 0.05. Treatment patterns were similar between the groups, with PD-1 inhibitor monotherapy given in 86% vs 79% of KRAS G12C and non-G12C patients. Overall response rate was 51% vs 27% in G12C vs non-G12C (p = 0.03). PFS was superior in G12C mutants (19.6 months vs 4.0 months), even after adjusting for smoking history, TP53 co-mutation status and PD-L1 expression (adjusted HR 0.51; p = 0.02). In subgroup analyses, the superiority in PFS was driven by the G12C mutants with high PD-L1 expression (n = 19): 26.8 months in G12C, PD-L1 high vs 4.7 months in G12C, PD-L1 low vs. 4.7 months in KRAS transversion mutations, PD-L1 high vs 4.0 months in transversion mutations, PD-L1 low vs. 3.0 months in transition mutations; p < 0.001. Conclusions: The presence of a KRAS G12C mutation is associated with improved ORR and PFS after treatment with ICI compared to non-G12C mutations in mNSCLC. The greatest benefit in PFS was observed in the subgroup with G12C mutation and high PD-L1 expression. Differential activation of downstream signaling associated with specific KRAS codon 12 mutation variants may modulate the composition of the tumor immune microenvironment thereby contributing to the variable response to immunotherapy. Further understanding on these molecular mechanisms may direct the development of new treatment strategies in KRAS mutant lung cancers.
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Affiliation(s)
- Shelley Kuang
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sally C. M. Lau
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - Kieran Sharma
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Juehea Lee
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | | | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Natasha B. Leighl
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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15
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Lau SCM, Poletes C, Le LW, Mackay KM, Fares AF, Bradbury PA, Shepherd FA, Tsao MS, Leighl NB, Liu G, Shultz D, Sacher AG. Durability of CNS disease control in NSCLC patients with brain metastases treated with immune checkpoint inhibitors plus cranial radiotherapy. Lung Cancer 2021; 156:76-81. [PMID: 33932863 DOI: 10.1016/j.lungcan.2021.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have excellent systemic activity and are standard first line treatment in EGFR/ALK wild type metastatic non-small cell lung cancer (NSCLC). However, their role in patients with brain metastases, which affects over 20% of patients and cause significant morbidity, is less clear. METHODS We reviewed patients with EGFR/ALK wild-type mNSCLC with CNS metastases. Serial MRIs were reviewed to determine the time to intracranial progression (iPFS). Multivariate regression was performed to adjust for the disease-specific graded prognostic score (ds-GPA). RESULTS We identified 36 ICI- and 33 chemotherapy-treated patients with baseline CNS metastases and available serial MRIs (average frequency:3.5 months). Baseline radiation was given except for 2 chemotherapy-treated patients with asymptomatic solitary metastasis. The CNS burden of disease was higher in the ICI-treated group (ICI:22% vs. chemotherapy:0% had >10 lesions; p = 0.02), but the utilization of WBRT was not (ICI:31% vs. chemotherapy:45%; p = 0.09). At the time of progression, CNS involvement was identified in 30 % of ICI-treated patients compared to 64 % of chemotherapy controls (p = 0.02). ICI-treated patients had superior iPFS (13.5 vs 8.4 months) that remained significant in multivariate analysis (HR 1.9; 95%CI 1.1--3.4). Superior CNS outcomes in ICI-treated patients were driven by the PD-L1 high subgroup where the 12-month cumulative incidence rate of CNS progression was 19% in ICI-treated PD-L1 ≥ 50%, 50% in ICI-treated PD-L1 < 50% and 58% in chemotherapy-treated patients (p = 0.03). CONCLUSIONS Remarkable CNS disease control is seen with baseline RT plus ICIs in patients with PD-L1 ≥ 50%. Strategies for delaying WBRT should be investigated in this subgroup of patients.
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Affiliation(s)
- Sally C M Lau
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Christopher Poletes
- Department of Radiation Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Kate M Mackay
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Aline Fusco Fares
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Penelope A Bradbury
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Frances A Shepherd
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Ming Sound Tsao
- Department of Pathology, Laboratory Medicine Program, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Natasha B Leighl
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - Geoffrey Liu
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada
| | - David Shultz
- Department of Radiation Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada.
| | - Adrian G Sacher
- Department of Medical Oncology, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Canada; Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, Canada.
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16
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Mino-Kenudson M, Le Stang N, Daigneault JB, Nicholson AG, Cooper WA, Roden AC, Moreira AL, Thunnissen E, Papotti M, Pelosi G, Motoi N, Poleri C, Brambilla E, Redman M, Jain D, Dacic S, Yatabe Y, Tsao MS, Lopez-Rios F, Botling J, Chen G, Chou TY, Hirsch FR, Beasley MB, Borczuk A, Bubendorf L, Chung JH, Hwang D, Lin D, Longshore J, Noguchi M, Rekhtman N, Sholl L, Travis W, Yoshida A, Wynes MW, Wistuba II, Kerr KM, Lantuejoul S. The International Association for the Study of Lung Cancer Global Survey on Programmed Death-Ligand 1 Testing for NSCLC. J Thorac Oncol 2021; 16:686-696. [PMID: 33662578 PMCID: PMC9260927 DOI: 10.1016/j.jtho.2020.12.026] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/19/2020] [Accepted: 12/26/2020] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) is required to determine the eligibility for pembrolizumab monotherapy in advanced NSCLC worldwide and for several other indications depending on the country. Four assays have been approved/ Communauté Européene-In vitro Diagnostic (CV-IVD)-marked, but PD-L1 IHC seems diversely implemented across regions and laboratories with the application of laboratory-developed tests (LDTs). METHOD To assess the practice of PD-L1 IHC and identify issues and disparities, the International Association for the Study of Lung Cancer Pathology Committee conducted a global survey for pathologists from January to May 2019, comprising multiple questions on preanalytical, analytical, and postanalytical conditions. RESULT A total of 344 pathologists from 64 countries participated with 41% from Europe, 24% from North America, and 18% from Asia. Besides biopsies and resections, cellblocks were used by 75% of the participants and smears by 11%. The clone 22C3 was most often used (69%) followed by SP263 (51%). They were applied as an LDT by 40% and 30% of the users, respectively, and 76% of the participants developed at least one LDT. Half of the participants reported a turnaround time of less than or equal to 2 days, whereas 13% reported that of greater than or equal to 5 days. In addition, quality assurance (QA), formal training for scoring, and standardized reporting were not implemented by 18%, 16%, and 14% of the participants, respectively. CONCLUSIONS Heterogeneity in PD-L1 testing is marked across regions and laboratories in terms of antibody clones, IHC assays, samples, turnaround times, and QA measures. The lack of QA, formal training, and standardized reporting stated by a considerable minority identifies a need for additional QA measures and training opportunities.
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Affiliation(s)
- Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
| | | | | | - Andrew G Nicholson
- Royal Brompton and Harefield National Health Service (NHS) Foundation Trust, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Wendy A Cooper
- Royal Prince Alfred Hospital, New South Wales (NSW) Health Pathology and University of Sydney, Camperdown, Australia
| | - Anja C Roden
- Department of Pathology, Mayo Clinic, Rochester, Minnesota
| | - Andre L Moreira
- Department of Pathology, New York University Langone Health, New York, New York
| | - Erik Thunnissen
- Department of Pathology, VU Medical Center, Amsterdam, The Netherlands
| | - Mauro Papotti
- Anatomic Pathology, University of Turin, Turin, Italy
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Noriko Motoi
- Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Claudia Poleri
- Office of Pathology Consultants, Buenos Aires, Argentina
| | | | - Mary Redman
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Deepali Jain
- All India Institute of Medical Sciences, New Delhi, India
| | - Sanja Dacic
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Yasushi Yatabe
- Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Ming Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | | | - Johan Botling
- Department of Immunology Genetics and Pathology, Science for Life Laboratory, Uppsala University Hospital, Uppsala, Sweden
| | - Gang Chen
- Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Teh-Ying Chou
- Taipei Veterans General Hospital, Taipei, Republic of China
| | - Fred R Hirsch
- Center for Thoracic Oncology, The Tisch Cancer Institute, New York, New York; Ichan School of Medicine, Mount Sinai Health System, New York, New York
| | - Mary Beth Beasley
- Ichan School of Medicine, Mount Sinai Health System, New York, New York
| | - Alain Borczuk
- Department of Pathology, Weill Cornell Medicine, New York, New York
| | - Lukas Bubendorf
- Institute of Pathology, University of Basel, Basel, Switzerland
| | - Jin-Haeng Chung
- Seoul National University Bundang Hospital, Seoul, South Korea
| | - David Hwang
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Dongmei Lin
- Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, People's Republic of China
| | | | | | | | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - William Travis
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Akihiko Yoshida
- Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Murry W Wynes
- International Association for the Study of Lung Cancer, Denver, Colorado
| | | | - Keith M Kerr
- Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom
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17
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Osarogiagbon RU, Rami-Porta R, Tsao MS, Montuenga LM, Nishimura KK, Giroux DJ, Travis W, Asamura H, Rusch V, Carbone DP, Hirsch FR. The International Association for the Study of Lung Cancer Molecular Database Project: Objectives, Challenges, and Opportunities. J Thorac Oncol 2021; 16:897-901. [PMID: 33771657 DOI: 10.1016/j.jtho.2021.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/05/2021] [Accepted: 03/05/2021] [Indexed: 12/24/2022]
Affiliation(s)
| | - Ramon Rami-Porta
- Department of Thoracic Surgery, Hospital Universitari Mútua Terrassa, University of Barcelona, Terrassa, Spain; Network of Centers for Biomedical Research in Respiratory Diseases (CIBERES) Lung Cancer Group, Terrassa, Spain
| | - Ming Sound Tsao
- University Health Network/Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Luis M Montuenga
- Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdISNA), Pamplona, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | | | | | - William Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hisao Asamura
- Division of Thoracic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Valerie Rusch
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David P Carbone
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Fred R Hirsch
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine, Mount Sinai Health System, New York, New York
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18
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Lau SCM, Fares AF, Le LW, Mackay KM, Soberano S, Chan SW, Smith E, Ryan M, Tsao MS, Bradbury PA, Pal P, Shepherd FA, Liu G, Leighl NB, Sacher AG. Subtypes of EGFR- and HER2-Mutant Metastatic NSCLC Influence Response to Immune Checkpoint Inhibitors. Clin Lung Cancer 2021; 22:253-259. [PMID: 33582070 DOI: 10.1016/j.cllc.2020.12.015] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/18/2020] [Accepted: 12/23/2020] [Indexed: 11/16/2022]
Abstract
INTRODUCTION The efficacy of immune checkpoint inhibitors (ICIs) is low among EGFR-mutated non-small-cell lung cancer (NSCLC), although prolonged responses have occasionally been reported. We investigated the association between mutation subtypes and ICI outcomes among HER2- and EGFR-mutated NSCLC. PATIENTS AND METHODS This retrospective single-center study analyzed patients with EGFR- and HER2-mutated advanced NSCLC who received at least 1 cycle of ICI between 2013 and 2019. Patient characteristics, mutation subtype, and ICI outcomes. RESULTS Among 48 patients with advanced NSCLC, 14 (29%) had HER2 mutations and 34 (71%) had EGFR mutations. EGFR mutations included 16 (47%) exon 19 deletion, 7 (21%) L858R, 5 (15%) uncommon, and 6 (18%) exon 20 insertion. Compared to EGFR-sensitizing mutations (ESMs), HER2 and EGFR exon 20 mutations were associated with a trend toward better response (respectively, ESM, HER2, and EGFR exon 20: 11%, 29%, and 50%; P = .07) and significantly better disease control rates (respectively, 18%, 57%, and 67%; P = .008). Compared to ESM, HER2 mutations (adjusted hazard ratio, 0.35; P = .02) and EGFR exon 20 mutations (adjusted hazard ratio, 0.37; P = .10 trend) were also associated with improved PFS. Programmed death ligand 1 (PD-L1) expression remained an independent predictor of PFS (adjusted hazard ratio, 0.42; 95% confidence interval, 0.23-0.76; P = .004). The 6-month PFS rates were 29% (HER2), 33% (EGFR exon 20), and 4% (ESM). ICIs were generally well tolerated in this population. Importantly, no immune-related toxicity was observed in 10 patients who received a tyrosine kinase inhibitor (TKI) as the immediate next line treatment after ICI. CONCLUSION HER2 and EGFR exon 20 mutations derive greater benefit from ICIs with comparable PFS to wild-type historical second/third-line unselected cohorts. ICIs remain a treatment option for this genomic subgroup, given the absence of approved targeted therapies for these rare mutations.
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Affiliation(s)
- Sally C M Lau
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Aline Fusco Fares
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Canada
| | - Kate M Mackay
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Spencer Soberano
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Sze Wah Chan
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Elliot Smith
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Malcolm Ryan
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Ming Sound Tsao
- Department of Pathology, Laboratory Medicine Program, University Health Network and University of Toronto, Toronto, Canada
| | - Penelope A Bradbury
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Prodipto Pal
- Department of Pathology, Laboratory Medicine Program, University Health Network and University of Toronto, Toronto, Canada
| | - Frances A Shepherd
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Geoffrey Liu
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Natasha B Leighl
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Adrian G Sacher
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada; Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, Canada.
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19
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Lam ACL, Aggarwal R, Huang J, Varadi R, Davis L, Tsao MS, Shepherd FA, Lam S, Kavanagh J, Liu G. Point-of-Care Spirometry Identifies High-Risk Individuals Excluded from Lung Cancer Screening. Am J Respir Crit Care Med 2020; 202:1473-1477. [PMID: 32673057 DOI: 10.1164/rccm.202005-1742le] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Andrew C L Lam
- Princess Margaret Cancer Centre Toronto, Ontario, Canada.,University of Toronto Toronto, Ontario, Canada
| | - Reenika Aggarwal
- Princess Margaret Cancer Centre Toronto, Ontario, Canada.,University of Toronto Toronto, Ontario, Canada
| | - Jingyue Huang
- Princess Margaret Cancer Centre Toronto, Ontario, Canada
| | - Robert Varadi
- University of Toronto Toronto, Ontario, Canada.,West Park Healthcare Centre Toronto, Ontario, Canada
| | - Lori Davis
- West Park Healthcare Centre Toronto, Ontario, Canada
| | - Ming Sound Tsao
- University of Toronto Toronto, Ontario, Canada.,University Health Network Toronto, Ontario, Canada and
| | - Frances A Shepherd
- Princess Margaret Cancer Centre Toronto, Ontario, Canada.,University of Toronto Toronto, Ontario, Canada
| | - Stephen Lam
- British Columbia Cancer Agency Vancouver, British Columbia, Canada
| | - John Kavanagh
- University Health Network Toronto, Ontario, Canada and
| | - Geoffrey Liu
- Princess Margaret Cancer Centre Toronto, Ontario, Canada.,University of Toronto Toronto, Ontario, Canada
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20
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Nadjafi M, Sung MR, Santos GDC, Le LW, Hwang DM, Tsao MS, Leighl NB. Diagnostic patterns of non-small-cell lung cancer at Princess Margaret Cancer Centre. Curr Oncol 2020; 27:244-249. [PMID: 33173375 PMCID: PMC7606036 DOI: 10.3747/co.27.5757] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background Accurate classification of lung cancer subtypes has become critical in tailoring lung cancer treatment. Our study aimed to evaluate changes in diagnostic testing and pathologic subtyping of advanced non-small-cell lung cancer (nsclc) over time at a major cancer centre. Methods In a review of patients diagnosed with advanced nsclc at Princess Margaret Cancer Centre between 2007-2009 and 2013-2015, diagnostic method, sample type and site, pathologic subtype, and use of immunohistochemistry (ihc) staining and molecular testing were abstracted. Results The review identified 238 patients in 2007-2009 and 283 patients in 2013-2015. Over time, the proportion of patients diagnosed with adenocarcinoma increased to 73.1% from 60.9%, and diagnoses of nsclc not otherwise specified (nos) decreased to 6.4% from 18.9%, p < 0.0001. Use of diagnostic bronchoscopy decreased (26.9% vs. 18.4%), and mediastinal sampling procedures, including endobronchial ultrasonography, increased (9.2% vs. 20.5%, p = 0.0001). Use of ihc increased over time to 76.3% from 41.6% (p < 0.0001). Larger surgical or core biopsy samples and those for which ihc was performed were more likely to undergo biomarker testing (both p < 0.01). Conclusions Customizing treatment based on pathologic subtype and molecular genotype has become key in treating patients with advanced lung cancer. Greater accuracy of pathology diagnosis is being achieved, including through the routine use of ihc.
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Affiliation(s)
- M Nadjafi
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - M R Sung
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - G D C Santos
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - L W Le
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - D M Hwang
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - M S Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - N B Leighl
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
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21
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Xia D, Leon AJ, Cabanero M, Pugh TJ, Tsao MS, Rath P, Siu LLY, Yu C, Bedard PL, Shepherd FA, Zadeh G, Chetty R, Aldape K. Minimalist approaches to cancer tissue-of-origin classification by DNA methylation. Mod Pathol 2020; 33:1874-1888. [PMID: 32415265 PMCID: PMC8808378 DOI: 10.1038/s41379-020-0547-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 03/06/2020] [Accepted: 03/30/2020] [Indexed: 11/09/2022]
Abstract
Classification of cancers by tissue-of-origin is fundamental to diagnostic pathology. While the combination of clinical data, tissue histology, and immunohistochemistry is usually sufficient, there remains a small but not insignificant proportion of difficult-to-classify cases. These challenging cases provide justification for ancillary molecular testing, including high-throughput DNA methylation array profiling, which promises cell-of-origin information and compatibility with formalin-fixed specimens. While diagnostically powerful, methylation profiling platforms are costly and technically challenging to implement, particularly for less well-resourced laboratories. To address this, we simulated the performance of "minimalist" methylation-based tests for cancer classification using publicly-available and internal institutional profiling data. These analyses showed that small and focused sets of the most informative CpG biomarkers from the arrays are sufficient for accurate diagnoses. As an illustrative example, one classifier, using information from just 53 out of about 450,000 available CpG probes, achieved an accuracy of 94.5% on 2575 fresh primary validation cases across 28 cancer types from The Cancer Genome Atlas Network. By training minimalist classifiers on formalin-fixed primary and metastatic cases, generally high accuracies were also achieved on additional datasets. These results support the potential of minimalist methylation testing, possibly via quantitative PCR and targeted next-generation sequencing platforms, in cancer classification.
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Affiliation(s)
- Daniel Xia
- Division of Hematopathology and Transfusion Medicine, University Health Network, Toronto, ON, Canada. .,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
| | | | - Michael Cabanero
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada,Division of Anatomical Pathology, University Health Network, Toronto, ON, Canada
| | | | - Ming Sound Tsao
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada,Division of Anatomical Pathology, University Health Network, Toronto, ON, Canada
| | - Prisni Rath
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Lillian Lai-Yun Siu
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Celeste Yu
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | | | - Gelareh Zadeh
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Runjan Chetty
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada,Division of Anatomical Pathology, University Health Network, Toronto, ON, Canada
| | - Kenneth Aldape
- Laboratory of Pathology, Center of Cancer Research, National Cancer Institute, Bethesda, MD, USA
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22
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Rimner A, Zauderer MG, Yorke E, Simone CB, Gill RR, Voong KR, Peikert T, Tsao MS, Li Z, Rusch VW, Bradley J. A phase III randomized trial of pleurectomy/decortication plus chemotherapy with or without adjuvant hemithoracic intensity-modulated pleural radiation therapy (IMPRINT) for malignant pleural mesothelioma (MPM) (NRG LU-006). J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.tps9079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS9079 Background: Pleurectomy/Decortication (P/D) with neoadjuvant or adjuvant chemotherapy has become a common lung-sparing surgical approach for MPM. Adjuvant hemithoracic IMPRINT was developed at Memorial Sloan Kettering Cancer Center and safe in a multi-institutional phase II study, with promising survival outcomes. The National Cancer Institute (NCI) sponsored this phase III randomized cooperative group trial to test the efficacy of this lung-sparing trimodality approach for resectable MPM. Methods: Patients with newly diagnosed MPM amenable to P/D are enrolled and undergo P/D followed by adjuvant platinum/pemetrexed (preferred) or neoadjuvant chemotherapy followed by P/D. Patients are stratified by histologic subtype, resection status (R0/1 vs. R2), and center patient volume (≤10 vs. > 10 P/Ds per year). Within 8 weeks after completion of the second modality patients are randomized 1:1 to undergo hemithoracic IMPRINT vs. no further therapy. All IMPRINT contours and treatment plans will be centrally reviewed. A contouring atlas and treatment planning constraints for target structures and organs at risk including acceptable and unacceptable variations and deviations were developed. Photon and proton therapy are permitted. The primary endpoint of the study is overall survival. Secondary endpoints include local failure-free, distant-metastases-free and progression-free survival, treatment-related toxicities (CTCAE v5.0) and change in quality-of-life (EORTC QLQ-C30 mean score changes at 9 months post randomization). The target accrual is 150 patients. This study was activated on January 29, 2020. Over 20 institutions have already committed to opening the study which is open to all National Clinical Trials Network (NCTN) sites. Treatment planning guidelines and helpful hints for photon and proton therapy will be presented. Conclusions: NRG LU-006 (clinicaltrials.gov: NCT04158141 ) is open to accrual. This is the first NRG Oncology randomized phase III trial on MPM and evaluates the use of IMPRINT following lung-sparing P/D and chemotherapy. This project was supported by grants U10CA180868 (NRG Oncology Operations), U10CA180822 (NRG Oncology SDMC), U24CA180803 (IROC) from the National Cancer Institute (NCI). Clinical trial information: NCT04158141.
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Affiliation(s)
| | | | - Ellen Yorke
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ritu R. Gill
- Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - K Ranh Voong
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD
| | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Zuofeng Li
- University of Florida Proton Therapy Institute, Jacksonville, FL
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23
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Fares AF, Martins-Filho SN, Li Q, Seto A, Stewart EL, Zhang T, Lau SCM, Ravi D, Weiss J, Patel D, Pham NA, Sacher AG, Bradbury PA, Stockley T, Leighl NB, Shepherd FA, Tsao MS, Liu G. Genomic analysis of driver-negative lung adenocarcinoma (LA) in lifetime never smokers. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.3571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3571 Background: Genomic events giving rise to driver negative LA in never smokers remain elusive. Here we report results of whole exome sequencing (WES) and targeted RNA sequencing in NS who had no mutation drivers found on routine clinical testing by targeted next generation sequencing (NGS). Methods: The cohort of never smokers with EGFR/ALK negative LA by clinical biomarker testing at Princess Margaret Cancer Centre, were first subjected to various clinical NGS profiling platforms (table). Where tissue was available, those negative for potential drivers in the clinical NGS then underwent WES (mean coverage > 200x) and Oncomine comprehensive v.3 RNA sequencing. We analyzed mutational signatures (MS) of the driver negative cohort based on the COSMIC catalog and assessed the median tumor mutation burden (mTMB mut/Mb -Megabase) in cases without a smoking MS, to avoid confounders. Results: Of 159 never smokers profiled with clinical NGS, potential drivers were found in 86 (54%): 75 (87%) with mutations in known LA driver genes and 11 (13%) with fusions. Among the remaining never smokers that tested negative by clinical NGS, 35 (48%) had available tissue for further testing. The Oncomine panel identified 9 cases (25%) with fusions or MET exon14 mutation (n = 7). Within the driver negative group, 24 (92%) underwent WES. Three tumors had WES base substitution patterns that were consistent with a smoking-related MS (MS4). Twenty-one patients exhibited signatures found common across all cancer types (MS 5), associated with DNA mismatch repair (MS 6, MS 20) or APOBEC over-activation (MS 2, MS13). In the driver-negative group, we identified 7 pts with somatic mutations in the KMT2 family (4 KMT2C, 4 KMT2A, 1 KMT2D), known for putative tumor suppressors and histone methyltransferases. mTMB on the driver negative group was 1.92, while one outlier with APOBEC MS and KMT2C/A mutations had a TMB of 16.8. Conclusions: Never smokers with driver negative LA are a heterogeneous group, with different MS and a wide TMB range. Mutations on KMT2 family are frequently found in driver negative LA in never smokers and warrant further investigations. [Table: see text]
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Affiliation(s)
| | | | - Quan Li
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Andrew Seto
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | | | - Tong Zhang
- Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sally CM Lau
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - Deepti Ravi
- University Health Network, Toronto, ON, Canada
| | - Jessica Weiss
- University Hospital Network (UHN) Biostatistics Department, Toronto, ON, Canada
| | | | - Nhu-An Pham
- University Health Network, University of Toronto, Toronto, ON, Canada
| | | | | | - Tracy Stockley
- University Health Network, Genome Diagnostics, Laboratory Medicine Program, Toronto, ON, Canada
| | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
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24
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Leighl NB, Laurie SA, Goss GD, Hughes BGM, Stockler MR, Tsao MS, Kulkarni S, Blais N, Joy AA, Mates M, Rana P, Yadav S, Underhill C, Lee CW, Bradbury PA, Hiltz A, Dancey J, Ding K, Vera Badillo FE. CCTG BR.34: A randomized trial of durvalumab and tremelimumab +/- platinum-based chemotherapy in patients with metastatic (Stage IV) squamous or nonsquamous non-small cell lung cancer (NSCLC). J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.9502] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
9502 Background: First-line therapy for advanced NSCLC includes PD-1 checkpoint inhibitor (ICI) monotherapy, and in combination with chemotherapy. Combination ICI have also demonstrated better survival compared to chemotherapy (CM-227). In CCTG BR.34, we compared overall survival (OS) in patients with advanced NSCLC receiving first-line durvalumab plus tremelimumab (DT) with or without platinum doublet chemotherapy (CT). Methods: This international, open-label, randomized trial accrued 301 participants from Canada and Australia, with stage IV NSCLC, EGFR/ALK wildtype, ECOG PS 0/1. Patients were randomized to DT for 4 cycles or DT+CT (pemetrexed- or gemcitabine-platinum), with ongoing D or D + pemetrexed (non-squamous) maintenance until disease progression. Stratification factors included histology, stage IVA v. IVB and smoking status. The primary endpoint was OS; secondary endpoints included progression-free survival (PFS), objective response rate (ORR = CR + PR) and adverse events (AEs). Results: At a median follow up of 16.6 months, no significant difference in OS was seen between the two treatment arms, with a median OS of 16.6 months with DT+CT v. 14.1 months with DT, (estimated HR 0.88, 90% CI 0.67-1.16). PFS was significantly improved in the DT+CT arm (stratified HR 0.67, 95% CI 0.52-0.88; medians 7.7 v. 3.2 months). ORR was higher in the DT+CT arm, 28% v. 14%, (odds ratio 2.1, p=0.001). Preplanned subgroup analysis demonstrated no significant differences in treatment outcomes by plasma TMB (<20 v. ≥20 mut/Mb, Guardant OMNI), age, sex, or smoking status. There was a trend to improved OS with DT+CT in the subgroup with PD-L1 TPS≥50%, (HR 0.64, 95% CI 0.40-1.04, p=0.07). Plasma TMB<20 mut/Mb was associated with shorter survival in both treatment groups (HR 1.99, 95% 1.3-3.1). Toxicity was greater in the DT+CT arm, with grade≥3 adverse events in 82% v. 70%, (p=0.02), most commonly dyspnea, nausea and cough. The incidence of immune-related adverse events was similar between arms (colitis 11%, pneumonitis 6%, endocrinopathy 21%). Grade 5 events occurred in 2.7%, (5 with DT+CT, 3 with DT). Conclusions: The addition of CT to first-line DT did not improve OS in advanced NSCLC. CT+DT improved ORR and PFS, and was associated with greater toxicity. No differential effects were seen by PD-L1 TPS nor bTMB. These data suggest that adding chemotherapy to ICI may be beneficial in those with PD-L1 TPS >=50%, and warrant further analysis in independent datasets. Clinical trial information: NCT03057106 .
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Affiliation(s)
| | | | | | - Brett Gordon Maxwell Hughes
- Department of Medical Oncology, The Prince Charles Hospital, Department of Medical Oncology, Royal Brisbane & Women's Hospital, and School of Medicine, University of Queensland, Brisbane, QLD, Australia
| | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Normand Blais
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Anil A. Joy
- Cross Cancer Institute, University of Alberta, NW Edmonton, AB, Canada
| | - Mihaela Mates
- Cancer Centre of Southeastern Ontario, Kingston, ON, Canada
| | - Punam Rana
- Humber River Regional Hospital, Toronto, ON, Canada
| | - Sunil Yadav
- Saskatoon Cancer Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Craig Underhill
- Albury-Wodonga Regional Cancer Centre, Albury-Wodonga, Australia
| | | | | | - Andrea Hiltz
- Canadian Cancer Trials Group, Kingston, ON, Canada
| | | | - Keyue Ding
- Canadian Cancer Trials Group, Kingston, ON, Canada
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Tsao MS, Yatabe Y. Old Soldiers Never Die: Is There Still a Role for Immunohistochemistry in the Era of Next-Generation Sequencing Panel Testing? J Thorac Oncol 2020; 14:2035-2038. [PMID: 31757371 DOI: 10.1016/j.jtho.2019.09.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 09/11/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Ming Sound Tsao
- Laboratory Medicine Program, Department of Pathology, University Health Network, Princess Margaret Cancer Centre and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center, Tokyo, Japan
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Torlakovic E, Albadine R, Bigras G, Boag A, Bojarski A, Cabanero M, Camilleri-Broët S, Cheung C, Couture C, Craddock KJ, Cutz JC, Dhamanaskar P, Fiset PO, Hossain M, Hwang DM, Ionescu D, Itani D, Kelly MM, Kwan K, Lim HJ, Nielsen S, Qing G, Sekhon H, Spatz A, Waghray R, Wang H, Xu Z, Tsao MS. Canadian Multicenter Project on Standardization of Programmed Death-Ligand 1 Immunohistochemistry 22C3 Laboratory-Developed Tests for Pembrolizumab Therapy in NSCLC. J Thorac Oncol 2020; 15:1328-1337. [PMID: 32304736 DOI: 10.1016/j.jtho.2020.03.029] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 03/25/2020] [Accepted: 03/26/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION The programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) assay is used to select patients for first or second-line pembrolizumab monotherapy in NSCLC. The PD-L1 IHC 22C3 pharmDx assay requires an Autostainer Link 48 instrument. Laboratories without this stainer have the option to develop a highly accurate 22C3 IHC laboratory-developed test (LDT) on other instruments. The Canadian 22C3 IHC LDT validation project was initiated to harmonize the quality of PD-L1 22C3 IHC LDT protocols across 20 Canadian pathology laboratories. METHODS Centrally optimized 22C3 LDT protocols were distributed to participating laboratories. The LDT results were assessed against results using reference PD-L1 IHC 22C3 pharmDx. Analytical sensitivity and specificity were assessed using cell lines with varying PD-L1 expression levels (phase 1) and IHC critical assay performance controls (phase 2B). Diagnostic sensitivity and specificity were assessed using whole sections of 50 NSCLC cases (phase 2A) and tissue microarrays with an additional 50 NSCLC cases (phase 2C). RESULTS In phase 1, 80% of participants reached acceptance criteria for analytical performance in the first attempt with disseminated protocols. However, in phase 2A, only 40% of participants reached the desired diagnostic accuracy for both 1% and 50% tumor proportion score cutoff. In phase 2B, further protocol modifications were conducted, which increased the number of successful laboratories to 75% in phase 2C. CONCLUSIONS It is possible to harmonize highly accurate 22C3 LDTs for both 1% and 50% tumor proportion score in NSCLC across many laboratories with different platforms. However, despite a centralized approach, diagnostic validation of predictive IHC LDTs can be challenging and not always successful.
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Affiliation(s)
- Emina Torlakovic
- Department of Pathology and Laboratory Medicine, Royal University Hospital, Saskatchewan Health Authority, Saskatoon, Canada; College of Medicine, University of Saskatchewan, Saskatoon, Canada
| | - Roula Albadine
- Montreal University Hospital Center (Centre hospitalier de l'Université de Montréal), Montreal, Quebec, Canada
| | - Gilbert Bigras
- Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Alexander Boag
- Kingston General Hospital, Queen's University, Kingston, Ontario, Canada
| | - Anna Bojarski
- Department of Pathology, Health Sciences North, Sudbury, Ontario, Canada
| | - Michael Cabanero
- University Health Network, University of Toronto, Toronto, Ontario, Canada
| | | | - Carol Cheung
- University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Christian Couture
- University institute of Cardiology and Respirology of Quebec-Laval University (Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval), Quebec City, Quebec, Canada
| | | | - Jean-Claude Cutz
- St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Prashant Dhamanaskar
- Department of Pathology, Trillium Health Partners and Credit Valley Hospital, Mississauga, Ontario, Canada
| | - Pierre O Fiset
- McGill University Health Science Centre, McGill University, Montreal, Quebec, Canada
| | | | - David M Hwang
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Diana Ionescu
- British Columbia Cancer, University of British Columbia, Vancouver, British Columbia, Canada
| | - Doha Itani
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Margaret M Kelly
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Keith Kwan
- Department of Pathology and Laboratory Medicine, London Health Sciences Centre, London, Ontario, Canada
| | - Hyun J Lim
- College of Medicine, University of Saskatchewan, Saskatoon, Canada
| | - Søren Nielsen
- Nordic immunohistochemical Quality Control, Aalborg, Denmark
| | - Gefei Qing
- Shared Health Manitoba, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Harman Sekhon
- The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Alan Spatz
- McGill University Health Science Centre, McGill University, Montreal, Quebec, Canada; Department of Pathology, Lady Davis Institute and McGill University, Jewish General Hospital, Montreal, Quebec, Canada
| | - Ranjit Waghray
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Hangjun Wang
- McGill University Health Science Centre, McGill University, Montreal, Quebec, Canada; Department of Pathology, Lady Davis Institute and McGill University, Jewish General Hospital, Montreal, Quebec, Canada
| | - Zhaolin Xu
- QEII Health Sciences Centre, Nova Scotia Health Authority, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ming Sound Tsao
- University Health Network, University of Toronto, Toronto, Ontario, Canada.
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Bebb DG, Agulnik J, Albadine R, Banerji S, Bigras G, Butts C, Couture C, Cutz JC, Desmeules P, Ionescu DN, Leighl NB, Melosky B, Morzycki W, Rashid-Kolvear F, Lab C, Sekhon HS, Smith AC, Stockley TL, Torlakovic E, Xu Z, Tsao MS. Crizotinib inhibition of ROS1-positive tumours in advanced non-small-cell lung cancer: a Canadian perspective. Curr Oncol 2019; 26:e551-e557. [PMID: 31548824 PMCID: PMC6726257 DOI: 10.3747/co.26.5137] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The ros1 kinase is an oncogenic driver in non-small-cell lung cancer (nsclc). Fusion events involving the ROS1 gene are found in 1%-2% of nsclc patients and lead to deregulation of a tyrosine kinase-mediated multi-use intracellular signalling pathway, which then promotes the growth, proliferation, and progression of tumour cells. ROS1 fusion is a distinct molecular subtype of nsclc, found independently of other recognized driver mutations, and it is predominantly identified in younger patients (<50 years of age), women, never-smokers, and patients with adenocarcinoma histology. Targeted inhibition of the aberrant ros1 kinase with crizotinib is associated with increased progression-free survival (pfs) and improved quality-of-life measures. As the sole approved treatment for ROS1-rearranged nsclc, crizotinib has been demonstrated, through a variety of clinical trials and retrospective analyses, to be a safe, effective, well-tolerated, and appropriate treatment for patients having the ROS1 rearrangement. Canadian physicians endorse current guidelines which recommend that all patients with nonsquamous advanced nsclc, regardless of clinical characteristics, be tested for ROS1 rearrangement. Future integration of multigene testing panels into the standard of care could allow for efficient and cost-effective comprehensive testing of all patients with advanced nsclc. If a ROS1 rearrangement is found, treatment with crizotinib, preferably in the first-line setting, constitutes the standard of care, with other treatment options being investigated, as appropriate, should resistance to crizotinib develop.
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Affiliation(s)
- D G Bebb
- Alberta: Tom Baker Cancer Centre and University of Calgary, Calgary (Bebb); Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton (Bigras); Cross Cancer Institute and University of Alberta, Edmonton (Butts); Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, and Calgary Laboratory Services, Calgary (Rashid-Kolvear)
| | - J Agulnik
- Quebec: Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal (Agulnik); Department of Pathology, Centre hospitalier de l'Université de Montréal, Montreal (Albadine); Service d'anatomopathologie et de cytologie, Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City (Couture, Desmeules)
| | - R Albadine
- Quebec: Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal (Agulnik); Department of Pathology, Centre hospitalier de l'Université de Montréal, Montreal (Albadine); Service d'anatomopathologie et de cytologie, Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City (Couture, Desmeules)
| | - S Banerji
- Manitoba: Department of Medical Oncology, University of Manitoba, Winnipeg (Banerji)
| | - G Bigras
- Alberta: Tom Baker Cancer Centre and University of Calgary, Calgary (Bebb); Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton (Bigras); Cross Cancer Institute and University of Alberta, Edmonton (Butts); Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, and Calgary Laboratory Services, Calgary (Rashid-Kolvear)
| | - C Butts
- Alberta: Tom Baker Cancer Centre and University of Calgary, Calgary (Bebb); Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton (Bigras); Cross Cancer Institute and University of Alberta, Edmonton (Butts); Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, and Calgary Laboratory Services, Calgary (Rashid-Kolvear)
| | - C Couture
- Quebec: Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal (Agulnik); Department of Pathology, Centre hospitalier de l'Université de Montréal, Montreal (Albadine); Service d'anatomopathologie et de cytologie, Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City (Couture, Desmeules)
| | - J C Cutz
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
| | - P Desmeules
- Quebec: Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal (Agulnik); Department of Pathology, Centre hospitalier de l'Université de Montréal, Montreal (Albadine); Service d'anatomopathologie et de cytologie, Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City (Couture, Desmeules)
| | - D N Ionescu
- British Columbia: Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver (Ionescu); BC Cancer-Vancouver Centre, Vancouver (Melosky)
| | - N B Leighl
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
| | - B Melosky
- British Columbia: Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver (Ionescu); BC Cancer-Vancouver Centre, Vancouver (Melosky)
| | - W Morzycki
- Nova Scotia: Queen Elizabeth iiHealth Sciences Centre and Dalhousie University, Halifax (Morzycki, Xu)
| | - F Rashid-Kolvear
- Alberta: Tom Baker Cancer Centre and University of Calgary, Calgary (Bebb); Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton (Bigras); Cross Cancer Institute and University of Alberta, Edmonton (Butts); Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, and Calgary Laboratory Services, Calgary (Rashid-Kolvear)
- Quebec: Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal (Agulnik); Department of Pathology, Centre hospitalier de l'Université de Montréal, Montreal (Albadine); Service d'anatomopathologie et de cytologie, Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Quebec City (Couture, Desmeules)
- Manitoba: Department of Medical Oncology, University of Manitoba, Winnipeg (Banerji)
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
- British Columbia: Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver (Ionescu); BC Cancer-Vancouver Centre, Vancouver (Melosky)
- Nova Scotia: Queen Elizabeth iiHealth Sciences Centre and Dalhousie University, Halifax (Morzycki, Xu)
- Saskatchewan: Department of Pathology and Laboratory Medicine, Saskatchewan Health Authority and University of Saskatchewan, Saskatoon (Torlakovic)
| | - Clin Lab
- Alberta: Tom Baker Cancer Centre and University of Calgary, Calgary (Bebb); Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton (Bigras); Cross Cancer Institute and University of Alberta, Edmonton (Butts); Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, and Calgary Laboratory Services, Calgary (Rashid-Kolvear)
| | - H S Sekhon
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
| | - A C Smith
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
| | - T L Stockley
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
| | - E Torlakovic
- Saskatchewan: Department of Pathology and Laboratory Medicine, Saskatchewan Health Authority and University of Saskatchewan, Saskatoon (Torlakovic)
| | - Z Xu
- Nova Scotia: Queen Elizabeth iiHealth Sciences Centre and Dalhousie University, Halifax (Morzycki, Xu)
| | - M S Tsao
- Ontario: St. Joseph's Healthcare, Hamilton Regional Laboratory Medicine Program, Department of Pathology and Molecular Medicine, McMaster University, Hamilton (Cutz); Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa (Sekhon); Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto (Smith, Stockley); Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Centre, Toronto (Tsao)
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Aggarwal R, Lam AC, McGregor M, Menezes R, Hueniken K, Tateishi H, O’Kane GM, Tsao MS, Shepherd FA, Xu W, McInnis M, Schmidt H, Liu G, Kavanagh J. Outcomes of Long-term Interval Rescreening With Low-Dose Computed Tomography for Lung Cancer in Different Risk Cohorts. J Thorac Oncol 2019; 14:1003-1011. [DOI: 10.1016/j.jtho.2019.01.031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 12/10/2018] [Accepted: 01/25/2019] [Indexed: 12/21/2022]
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Martins-Filho SN, Weiss J, Pham NA, Cabanero M, Fares AF, Stewart EL, Patel D, McConnell J, Bradbury PA, Sacher AG, Leighl NB, Grindlay A, Allison F, LI M, Yasufuku K, Shepherd FA, Moghal N, Tsao MS, Liu G. Clinical, pathological and genetic predictors of patient-derived xenograft (PDX) engraftment in EGFR-mutated lung adenocarcinoma (LUAD). J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.3110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3110 Background: PDX are useful preclinical models to study drug response and resistance. Different specimen types have been used to generate PDX models including histological (surgery and CT-guided biopsy) and cytological preparations (EBUS and pleural effusions). We hypothesize that engraftment is not stochastic and is affected by many factors including sample type and tumor pathological and molecular properties. To improve sample selection and cost-effectiveness of PDX experiments, we investigated clinical, histological and genetic correlates of engraftment in EGFR-mutated LUAD. Methods: We assessed PDX engraftment from 96 surgical resections, 13 CT-guided biopsies, 21 EBUS and 14 pleural effusions of EGFR-mutated LUAD. Sixty-five samples, including 6 engrafted (XG) and 54 non-engrafted (noXG) were evaluated by exome sequencing. Results: Engraftment was successful in 9/96 (9%) surgical resections, 6/13 (46%) CT-guided biopsies, and 0/35 cytological samples. Biopsies taken at time of treatment failure (compared to treatment naive biopsies) correlated with greater engraftment (p=0.007, AUC = 0.68). Multivariable regression analysis of clinical variables at the time of sampling identified advanced (vs early) stage (p = 0.003) and histological (vs cytological) preparations (p < 0.001) as the strongest predictors of engraftment (AUC = 0.79). Among tumor histologic features, solid (vs lepidic, acinar and papillary) pattern was associated with greater engraftment (p < 0.001). Presence of EGFR-T790M (p = 0.004) and TP53 (p = 0.009) mutations were associated with greater engraftment; all XG samples carried TP53 mutations. EGFR-Ex19del (p = 0.076) showed a trend towards engraftment whereas EGFR-L858R (p = 0.086) trended towards non-engraftment. Conclusions: Advanced stage, post-therapy tumors, T790M+ and TP53+ EGFR-mutated LUAD samples obtained for histological processing are more likely to engraft as PDXs. Despite low engraftment rates, these models are useful to study novel therapeutic strategy and elucidation of resistance mechanisms.
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Affiliation(s)
| | - Jessica Weiss
- University Hospital Network (UHN) Biostatistics Department, Toronto, ON, Canada
| | - Nhu-An Pham
- University Health Network, University of Toronto, Toronto, ON, Canada
| | | | | | | | - Devalben Patel
- Princess Margaret Cancer Centre, University Health Network, Ontario Cancer Institute, Toronto, ON, Canada
| | | | | | - Adrian G. Sacher
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | | | | | | | - Ming LI
- University Health Network, Toronto, ON, Canada
| | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
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Sorotsky H, Aparanthi M, Wang DZ, McFadden F, Popescu SN, Mohamadi RM, Pereira M, Weiss J, Patel D, Majeed S, Cabanero M, Sacher AG, Bradbury PA, Leighl NB, Shepherd FA, Tsao MS, Liu G, Kelley SO, Lok BH. Quantifying EpCAM heterogeneity of circulating-tumor-cells (CTCs) from small cell lung cancer (SCLC) patients. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e20091] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20091 Background: Tumor heterogeneity and evolution of SCLC is poorly defined. Serial longitudinal interrogation of tumor heterogeneity from CTCs detected in peripheral blood patient (pt) samples is a potential strategy to address this gap in knowledge. However, existing technology is generally limited to the capture and enumeration of CTCs, without a high-throughput method to quantify phenotypic properties. Here, we evaluated a novel nanotechnology platform – nanoparticle-mediated magnetic ranking cytometry (MagRC) to profile SCLC CTCs by EpCAM protein expression. Methods: Blood samples from 20 SCLC pts were processed through the MagRC platform. Magnetic nanoparticles conjugated with anti-EpCAM antibodies were incubated with whole blood samples then introduced into the MagRC device where CTCs are sorted by differently sized nickel micromagnets within microfluidic channels. Captured CTCs are ranked into 8 zones that correlate with EpCAM expression levels (zone 1 = highest to 8 = lowest). For 8 pts, all samples were processed at a 1mL/hr flow rate (fr), and for 12 pts, a 0.5mL/hr fr was also studied; 66% of all chips were processed at a 1ml/hr fr and 34% at a 0.5ml/hr fr. The average zone for each chip was compared to the flow rate, age, and stage (extensive-stage (ES) vs limited-stage (LS)). The differences were tested using the Wald test within the linear mixed effects model. Results: Among 20 pts, 11 were ES; 9 were LS. Median age at diagnosis was 69 years old (yo); 65% were male. We detected CTCs in 12 of 20 pts (60%), similar to other studies. When comparing the MagRC-ranked EpCAM zone, the 0.5mL/hr fr demonstrated a lower median zone (4.3 vs 6.5; p < 0.001) as compared to the 1mL/hr rate. Interestingly, pts > 65 yo had a higher median zone (6.2 vs. 3.5; p = 0.019) compared to those ≤65 yo. The effect remained significant after controlling for flow rate (p = 0.002). No EpCAM zone difference was detected between ES and LS. Conclusions: We demonstrate the ability of MagRC to quantify EpCAM expression levels of CTCs from SCLC pts. We observed a higher MagRC zone (i.e. lower EpCAM expression) from pts > 65 yo. This observation requires validation in larger datasets along with continued investigation into the biology of SCLC CTCs.
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Affiliation(s)
- Hadas Sorotsky
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Mansi Aparanthi
- Radiation Medicine Program, University Health Network, Toronto, ON, Canada
| | - Daniel Zongjie Wang
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Francesca McFadden
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Sandra N Popescu
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Reza M Mohamadi
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Mark Pereira
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Toronto, ON, Canada
| | - Jessica Weiss
- University Hospital Network (UHN) Biostatistics Department, Toronto, ON, Canada
| | - Devalben Patel
- Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Safa Majeed
- University of Toronto, Department of Medical Biophysics, Toronto, ON, Canada
| | | | - Adrian G. Sacher
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Benjamin H. Lok
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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Lau SCM, Le LW, Smith EC, Chan SWS, Ryan M, Brown MC, Hueniken K, Eng L, Patel D, Chen R, Sung MR, Zer A, Bradbury PA, Ohashi PS, Shepherd FA, Tsao MS, Liu G, Leighl NB, Sacher AG. Bone metastases as predictors of treatment response and rapidly progressive disease in NSCLC patients on PD-1/PD-L1 immune checkpoint inhibitors (ICI). J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e20667] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20667 Background: The tissue microenvironment associated with specific organ metastases potentially influences the efficacy of checkpoint inhibitors. The presence of liver metastases is a predictor of poor response and survival in melanoma and is correlated with reduced CD8+ T cell infiltration. Our study examined clinicopathologic characteristics, focusing on sites of metastatic disease, that are associated with poor outcomes. Methods: Advanced NSCLC patients treated with ≥1 cycle of ICI were reviewed. Baseline age, sex, histology, stage, smoking status, ethnicity, PD-L1 expression and sites of metastases were recorded. Best overall response (BOR) was determined by clinical imaging response and categorized ordinally as shrinkage, stable, or progression, adapted from RECIST for CR/PR, SD, PD. A rapidly progressive phenotype (RPP) was defined as BOR of progression and ICI use of ≤2 months. The association between sites of metastases and clinical outcomes were investigated using logistic and cox regression models. Results: Among 219 eligible patients, bone was the most common metastatic site (34.7%), followed by brain (21.5%), adrenals (14.2%), and liver (13.7%). Bone metastases (OR 0.45, p = 0.004) were associated with a worse BOR, while only a trend was observed for liver metastases (OR 0.47, p = 0.06). Adrenal metastases were associated with a better BOR (OR 2.08, p = 0.04). But thorax limited disease did not associate with BOR (OR 1.08, p = 0.76). In a multivariate model, bone was the only metastatic site associated with a worse BOR (OR 0.50, p = 0.01). Further, bone metastases were associated with RPP (adjusted OR 1.91, p = 0.04). Both bone (adjusted hazard ratio/aHR 1.61, p = 0.01) and liver metastases (aHR 1.80, p = 0.02) were associated with a shorter time-to-treatment-failure. The presence of liver (aHR 2.63, p < 0.001) but not bone (aHR 1.04, p = 0.86) metastases was a significant predictor of poor OS. Conclusions: We report a novel finding that the presence of bone metastases was associated with a worse clinical overall response on ICI and a rapidly progressive phenotype. Further investigations into the mechanisms of RPP in the presence of bone metastases are needed.
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Affiliation(s)
- Sally CM Lau
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Lisa W Le
- Princess Margaret Hospital, Toronto, ON, Canada
| | | | | | - Malcolm Ryan
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - M. Catherine Brown
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Lawson Eng
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Devalben Patel
- Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - RuiQi Chen
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Alona Zer
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Adrian G. Sacher
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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Mamatjan Y, Cabanero M, Weiss J, Zuccato J, Sorotsky H, Tsao MS, Aldape KD, Zadeh G, Shepherd FA. Methylation profiling of EGFR mutant primary and metastatic lung cancer with brain metastasis. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e20574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20574 Background: EGFR-mutant lung cancer is a key molecular subtype of lung cancer. In recent years there is clear recognition in the value of using methylation signature of cancer for improving diagnosis and predicting outcome as well as understanding the biology of cancer progression. Methods: In this study we chose to characterize the methylome signature of early stage surgically resected EGFR-mutant lung adenocarcinomas in the primary lung tumor. 90 NSCLC cases and 7 matched metastatic brain samples were profiled using Illumina Infinium MethylationEPIC Beadchip. We compared methylation profiles of 1) smokers versus lifetime non-smokers and 2) matched primary lung versus brain metastasis to identify methylation biomarkers. We performed supervised analysis and unsupervised clustering of the methylation data. Results: Unsupervised clustering of all lung and brain samples based on 10K most variable probes showed a similar methylation signature between metastatic brain samples and lung samples. The 7-matched brain and lung samples formed close cluster groups based on matching pairs for the most variable probes from 2.5K to 10K, reflecting the same cell of origin. Supervised analysis of smokers versus lifetime non-smokers did not show any significant methylation differences between the two groups, while unsupervised analysis did not create clusters of smokers and non-smokers based on various number of probe sets we analyzed. Conclusions: Lung tumors that metastasized to the brain share similar methylation features with primary lung tumors. Comprehensive methylation profiling demonstrated no difference between EGFR mutant tumors in smokers versus non-smokers, suggesting that the EGFR mutation is a stronger determinant of outcome independent of smoking.
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Affiliation(s)
- Yasin Mamatjan
- MacFeeters Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Jessica Weiss
- University Hospital Network (UHN) Biostatistics Department, Toronto, ON, Canada
| | - Jeffrey Zuccato
- MacFeeters-Hamilton Centre for Neuro-Oncology Research, Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Hadas Sorotsky
- Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Gelareh Zadeh
- MacFeeters Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
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Lau SCM, Le LW, Chan SWS, Smith EC, Ryan M, Brown MC, Hueniken K, Eng L, Patel D, Chen R, Zer A, Sung MR, Bradbury PA, Ohashi PS, Shepherd FA, Tsao MS, Leighl NB, Liu G, Sacher AG. Myeloid immunosuppressive state as a predictor of rapidly progressive phenotype and poor survival in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1/PD-L1 inhibitors. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e20594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20594 Background: Immune subpopulations within the tumor microenvironment (TME) play a central role in determining response to checkpoint inhibitors. Myeloid derived suppressor cells, a heterogeneous population of immature myeloid cells, have a predominantly immunosuppressive role by stimulating T regulatory cells. We hypothesize that elevated myeloid-to-lymphocyte measures in the peripheral blood predict for greater numbers of myeloid derived suppressor cells in the TME and worse outcomes. Methods: In advanced NSCLC patients who received immunotherapy between 2010-2018, baseline characteristics collected retrospectively included age, sex, histology, stage, smoking status, ethnicity, PD-L1 expression and tumor genotype. Pre-treatment neutrophil/lymphocyte (NLR) and monocyte/lymphocyte ratios (MLR) were log transformed and analyzed using cox and logistic regression models. Results: Among 219 eligible patients, a high NLR was associated with shorter time-to-treatment-failure (HR 1.38, 95%CI 1.09-1.75, p = 0.008) and poorer OS (HR 1.62, 95%CI 1.23-2.14, p < 0.001), independent of PD-L1 levels. Disproportionate increases in NLR and MLR were highly correlated (Spearman’s rho = 0.78). Further, higher NLR (p = 0.09) or MLR (p = 0.06) tended to associate with best overall response (BOR) to immunotherapy, with higher rates of progressive disease (PD) and lower rates of clinical response. A high NLR (p = 0.01) and MLR (p = 0.02) were associated with a rapidly progressive phenotype defined by PD as the BOR and duration of therapy ≤2 months. This remained significant after adjusting for confounders in a multivariate model (p = 0.03 for NLR and p = 0.03 for MLR). No associations were observed between high myeloid counts and other clinical prognostic factors such as liver metastases. Conclusions: A myeloid immunosuppressive state characterized by a disproportionate increase in peripheral immune myeloid populations is significantly associated with primary refractory disease, rapidly progressive phenotype, and poorer survival. Further investigation into myeloid mediated mechanisms of resistance is warranted.
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Affiliation(s)
- Sally CM Lau
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Lisa W Le
- Princess Margaret Hospital, Toronto, ON, Canada
| | | | | | - Malcolm Ryan
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - M. Catherine Brown
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Lawson Eng
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Devalben Patel
- Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - RuiQi Chen
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Alona Zer
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Adrian G. Sacher
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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Perdrizet K, Stockley T, Law JH, Shabir M, Zhang T, Le LW, Lau A, Tsao MS, Pal P, Cabanero M, Ko H, Schwock J, Kamel-Reid S, Liu G, Sacher AG, Bradbury PA, Shepherd FA, Leighl NB. Non-small cell lung cancer (NSCLC) next generation sequencing (NGS) using the Oncomine Comprehensive Assay (OCA) v3: Integrating expanded genomic sequencing into the Canadian publicly funded health care model. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.2620] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2620 Background: Standard of care (SOC) molecular diagnostics for stage IV NSCLC patients in Ontario, Canada includes publicly reimbursed EGFR/ ALK, and selected BRAF and ROS-1 testing. Other genomic alterations are not tested routinely; however, enhanced molecular testing may broaden treatment options for patients. This study evaluated costs, identified actionable targets, and determined clinical trial eligibility as a result of using the OCAv3 NGS in stage IV NSCLC patients. Methods: In a prospective study of stage IV NSCLC out-patients at Princess Margaret Cancer Centre (Toronto) without EGFR/ALK/KRAS/BRAF alteration (unless failure of prior targeted therapy), diagnostic samples were tested by OCAv3 (ThermoFisher; 161 genes: hotspots, fusions, and copy number variations). Primary endpoints were incremental actionable targets and clinical trial opportunities as a result of broader OCAv3 testing. Secondary endpoints include feasibility and cost from the Canadian public healthcare perspective, and treatment outcomes. Results: Of 65 enrolled patients (Feb 2018-Jan 2019; 40 (62%) completed/14 (21%) screen fail/ 11 (17%) pending), median age of completed cohort was 65, 60% (N = 24) female, never/light smokers 68% (N = 27), Asian 38% (N = 15), previously treated 33% (N = 13). Actionable targets beyond SOC were identified in 33% (N = 13): ERBB2 (N = 8), BRAFV600 (N = 3), NRG fusion (N = 1), MET exon 14 (N = 1). New clinical trial options were identified in 70%. Failure of NGS was secondary to insufficient tissue [91% (N = 10) of screen failures; usually due to tissue exhaustion from prior SOC molecular testing]. Incremental costs per case beyond EGFR/ALK are estimated at $540 CAD. If ROS-1 and BRAF testing were publicly reimbursed at current rates, the incremental profiling cost with OCAv3 would be $90 CAD per case. Conclusions: Although a key barrier to implementation is lack of funding for NGS in the Canadian publicly funded system, the OCAv3 consolidates genomic testing, identifies additional actionable targets, and substantially increases clinical trial eligibility for patients at a small incremental cost. Clinical trial information: NCT03558165.
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Affiliation(s)
| | - Tracy Stockley
- University Health Network, Genome Diagnostics, Laboratory Medicine Program, Toronto, ON, Canada
| | | | - Muqdas Shabir
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Tong Zhang
- Princess Margaret Hospital, Toronto, ON, Canada
| | - Lisa W Le
- Princess Margaret Hospital, Toronto, ON, Canada
| | - Anthea Lau
- Princess Margaret Hospital, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Prodipto Pal
- Department of Laboratory Medicine and Pathology, University Health Network, Toronto, ON, Canada
| | | | - Hyangmi Ko
- University Health Network, Toronto, ON, Canada
| | - Joerg Schwock
- University Health Network, Division of Laboratory Medicine and Pathobiology, Department of Pathology, Toronto, ON, Canada
| | - Suzanne Kamel-Reid
- Department of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Adrian G. Sacher
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | | | - Frances A. Shepherd
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
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Laurie SA, Banerji S, Blais N, Brule S, Cheema PK, Cheung P, Daaboul N, Hao D, Hirsh V, Juergens R, Laskin J, Leighl N, MacRae R, Nicholas G, Roberge D, Rothenstein J, Stewart DJ, Tsao MS. Canadian consensus: oligoprogressive, pseudoprogressive, and oligometastatic non-small-cell lung cancer. ACTA ACUST UNITED AC 2019; 26:e81-e93. [PMID: 30853813 DOI: 10.3747/co.26.4116] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Little evidence has been generated for how best to manage patients with non-small-cell lung cancer (nsclc) presenting with rarer clinical scenarios, including oligometastases, oligoprogression, and pseudoprogression. In each of those scenarios, oncologists have to consider how best to balance efficacy with quality of life, while maximizing the duration of each line of therapy and ensuring that patients are still eligible for later options, including clinical trial enrolment. Methods An expert panel was convened to define the clinical questions. Using case-based presentations, consensus practice recommendations for each clinical scenario were generated through focused, evidence-based discussions. Results Treatment strategies and best-practice or consensus recommendations are presented, with areas of consensus and areas of uncertainty identified. Conclusions In each situation, treatment has to be tailored to suit the individual patient, but with the intent of extending and maximizing the use of each line of treatment, while keeping treatment options in reserve for later lines of therapy. Patient participation in clinical trials examining these issues should be encouraged.
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Affiliation(s)
- S A Laurie
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - S Banerji
- Manitoba: Rady Faculty of Health Sciences, University of Manitoba, and Medical Oncology, CancerCare Manitoba, Winnipeg
| | - N Blais
- Quebec: CHUM Cancer Centre, Université de Montréal, Montreal (Blais); Centre intégré de cancérologie de la Montérégie, Hôpital Charles-LeMoyne, and Université de Sherbrooke, Greenfield Park (Daaboul); Department of Oncology, McGill University, and Thoracic Oncology, McGill University Health Centre, Montreal (Hirsh); Centre hospitalier de l'Université de Montréal, Montreal (Roberge)
| | - S Brule
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - P K Cheema
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - P Cheung
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - N Daaboul
- Quebec: CHUM Cancer Centre, Université de Montréal, Montreal (Blais); Centre intégré de cancérologie de la Montérégie, Hôpital Charles-LeMoyne, and Université de Sherbrooke, Greenfield Park (Daaboul); Department of Oncology, McGill University, and Thoracic Oncology, McGill University Health Centre, Montreal (Hirsh); Centre hospitalier de l'Université de Montréal, Montreal (Roberge)
| | - D Hao
- Alberta: Tom Baker Cancer Centre and Department of Oncology, University of Calgary, Calgary
| | - V Hirsh
- Quebec: CHUM Cancer Centre, Université de Montréal, Montreal (Blais); Centre intégré de cancérologie de la Montérégie, Hôpital Charles-LeMoyne, and Université de Sherbrooke, Greenfield Park (Daaboul); Department of Oncology, McGill University, and Thoracic Oncology, McGill University Health Centre, Montreal (Hirsh); Centre hospitalier de l'Université de Montréal, Montreal (Roberge)
| | - R Juergens
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - J Laskin
- British Columbia: Medical Oncology, BC Cancer, Vancouver
| | - N Leighl
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - R MacRae
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - G Nicholas
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - D Roberge
- Quebec: CHUM Cancer Centre, Université de Montréal, Montreal (Blais); Centre intégré de cancérologie de la Montérégie, Hôpital Charles-LeMoyne, and Université de Sherbrooke, Greenfield Park (Daaboul); Department of Oncology, McGill University, and Thoracic Oncology, McGill University Health Centre, Montreal (Hirsh); Centre hospitalier de l'Université de Montréal, Montreal (Roberge)
| | - J Rothenstein
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - D J Stewart
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
| | - M S Tsao
- Ontario: The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa (Laurie); Division of Medical Oncology, The Ottawa Hospital, University of Ottawa, Ottawa (Brule); University of Toronto, Toronto, and William Osler Health System, Brampton (Cheema); Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto (Cheung); McMaster University, Juravinski Cancer Centre, Hamilton (Juergens); Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto (Leighl); University of Ottawa, The Ottawa Hospital, Ottawa (MacRae); University of Ottawa, Ottawa (Nicholas); R.S. McLaughlin Durham Regional Cancer Centre, Lakeridge Health, Oshawa, and Queen's University, Kingston (Rothenstein); The Ottawa Hospital, The Ottawa Hospital Research Institute, and Division of Medical Oncology, University of Ottawa, Ottawa (Stewart); University Health Network, Princess Margaret Cancer Centre, and University of Toronto, Toronto (Tsao)
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Melosky B, Cheema P, Agulnik J, Albadine R, Bebb DG, Blais N, Burkes R, Butts C, Card PB, Chan AMY, Hirsh V, Ionescu DN, Juergens R, Morzycki W, Poonja Z, Sangha R, Tehfe M, Tsao MS, Vincent M, Xu Z, Liu G. Canadian perspectives: update on inhibition of ALK-positive tumours in advanced non-small-cell lung cancer. Curr Oncol 2018; 25:317-328. [PMID: 30464681 PMCID: PMC6209554 DOI: 10.3747/co.25.4379] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Inhibition of the anaplastic lymphoma kinase (alk) oncogenic driver in advanced non-small-cell lung carcinoma (nsclc) improves survival. In 2015, Canadian thoracic oncology specialists published a consensus guideline about the identification and treatment of ALK-positive patients, recommending use of the alk inhibitor crizotinib in the first line. New scientific literature warrants a consensus update. Methods Clinical trials of alk inhibitor were reviewed to assess benefits, risks, and implications relative to current Canadian guidance in patients with ALK-positive nsclc. Results Randomized phase iii trials have demonstrated clinical benefit for single-agent alectinib and ceritinib used in treatment-naïve patients and as second-line therapy after crizotinib. Phase ii trials have demonstrated activity for single-agent brigatinib and lorlatinib in further lines of therapy. Improved responses in brain metastases were observed for all second- and next/third-generation alk tyrosine kinase inhibitors in patients progressing on crizotinib. Canadian recommendations are therefore revised as follows:■ Patients with advanced nonsquamous nsclc have to be tested for the presence of an ALK rearrangement.■ Treatment-naïve patients with ALK-positive disease should initially be offered single-agent alectinib or ceritinib, or both sequentially.■ Crizotinib-refractory patients should be treated with single-agent alectinib or ceritinib, or both sequentially.■ Further treatments could include single-agent brigatinib or lorlatinib, or both sequentially.■ Patients progressing on alk tyrosine kinase inhibitors should be considered for pemetrexed-based chemotherapy.■ Other systemic therapies should be exhausted before immunotherapy is considered. Summary Multiple lines of alk inhibition are now recommended for patients with advanced nsclc with an ALK rearrangement.
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Affiliation(s)
- B Melosky
- BC Cancer-Vancouver Centre, Vancouver, BC
| | - P Cheema
- William Osler Health System, University of Toronto, Brampton, ON
| | - J Agulnik
- Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal, QC
| | - R Albadine
- Centre hospitalier de l'Université de Montréal, Montreal, QC
| | - D G Bebb
- Tom Baker Cancer Centre and University of Calgary, Calgary, AB
| | - N Blais
- Centre hospitalier de l'Université de Montréal, Montreal, QC
| | - R Burkes
- Mount Sinai Hospital, Toronto, ON
| | - C Butts
- Cross Cancer Institute and University of Alberta, Edmonton, AB
| | - P B Card
- Kaleidoscope Strategic, Inc., Toronto, ON
| | - A M Y Chan
- Tom Baker Cancer Centre and University of Calgary, Calgary, AB
| | - V Hirsh
- Royal Victoria Hospital, McGill University Health Centre, Montreal, QC
| | | | - R Juergens
- Juravinski Cancer Centre, McMaster University, Hamilton, ON
| | - W Morzycki
- qeii Health Sciences Centre, Halifax, NS
| | - Z Poonja
- BC Cancer-Vancouver Island Center, Victoria, BC
| | - R Sangha
- Cross Cancer Institute and University of Alberta, Edmonton, AB
| | - M Tehfe
- Centre hospitalier de l'Université de Montréal, Montreal, QC
| | - M S Tsao
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON
| | - M Vincent
- University of Western Ontario, London, ON
| | - Z Xu
- qeii Health Sciences Centre, Halifax, NS
| | - G Liu
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON
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Zeng Y, Wang S, Gao S, Soares F, Ahmed M, Guo H, Wang M, Hua JT, Guan J, Moran MF, Tsao MS, He HH. Refined RIP-seq protocol for epitranscriptome analysis with low input materials. PLoS Biol 2018; 16:e2006092. [PMID: 30212448 PMCID: PMC6136692 DOI: 10.1371/journal.pbio.2006092] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 08/01/2018] [Indexed: 11/18/2022] Open
Abstract
N6-Methyladenosine (m6A) accounts for approximately 0.2% to 0.6% of all adenosine in mammalian mRNA, representing the most abundant internal mRNA modifications. m6A RNA immunoprecipitation followed by high-throughput sequencing (MeRIP-seq) is a powerful technique to map the m6A location transcriptome-wide. However, this method typically requires 300 μg of total RNA, which limits its application to patient tumors. In this study, we present a refined m6A MeRIP-seq protocol and analysis pipeline that can be applied to profile low-input RNA samples from patient tumors. We optimized the key parameters of m6A MeRIP-seq, including the starting amount of RNA, RNA fragmentation, antibody selection, MeRIP washing/elution conditions, methods for RNA library construction, and the bioinformatics analysis pipeline. With the optimized immunoprecipitation (IP) conditions and a postamplification rRNA depletion strategy, we were able to profile the m6A epitranscriptome using 500 ng of total RNA. We identified approximately 12,000 m6A peaks with a high signal-to-noise (S/N) ratio from 2 lung adenocarcinoma (ADC) patient tumors. Through integrative analysis of the transcriptome, m6A epitranscriptome, and proteome data in the same patient tumors, we identified dynamics at the m6A level that account for the discordance between mRNA and protein levels in these tumors. The refined m6A MeRIP-seq method is suitable for m6A epitranscriptome profiling in a limited amount of patient tumors, setting the ground for unraveling the dynamics of the m6A epitranscriptome and the underlying mechanisms in clinical settings. N6-Methyladenosine (m6A) is one of the most abundant and conserved mRNA modifications. It has been reported to influence multiple steps of RNA life cycle and play an important role in the initiation and progression of human cancers. m6A RNA immunoprecipitation followed by high-throughput sequencing (MeRIP-seq) is a powerful technique to map the m6A location transcriptome-wide. However, this method typically requires 300 μg of total RNA, which limits its application to patient tumors. In this study, we presented an optimized MeRIP-seq protocol that allows us to profile m6A epitranscriptiome using as low as 500 ng of total RNA. By applying our refined protocol to 2 lung cancer patient tumors and integrating with proteomic data, we identified dynamics at the m6A level that account for the discordance between mRNA and protein levels in these tumors.
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Affiliation(s)
- Yong Zeng
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
| | - Shiyan Wang
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
| | - Shanshan Gao
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Fraser Soares
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
| | - Musadeqque Ahmed
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
| | - Haiyang Guo
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
| | - Miranda Wang
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
| | - Junjie Tony Hua
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Jiansheng Guan
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
- College of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China
| | - Michael F. Moran
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
- Program in Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Ming Sound Tsao
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
- Campbell Family Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Housheng Hansen He
- Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- * E-mail:
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Abstract
The advent of targeted therapy in non-small-cell lung cancer (nsclc) has made the routine molecular diagnosis of EGFR mutations crucial for optimal patient management. Obtaining tumour tissue for biomarker testing, especially in the setting of re-biopsy, can present many challenges. A potential alternative source of tumour dna is circulating cell-free tumour-derived dna (ctdna). Although ctdna is present in low quantities in plasma, the convenience of sample acquisition and the increasing reliability of detection methods make this approach a promising one. The various performance characteristics of both digital and nondigital platforms are still variable, and a standardized approach is needed that will make those platforms reliable clinical tools for the detection of EGFR sensitizing mutations and resistance mutations, including the T790M resistance mutation. Information derived from ctdna can be used to assess tumour burden, to identify genomic-based resistance mechanisms, and to track dynamic changes during therapy.
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Affiliation(s)
- M Cabanero
- Princess Margaret Cancer Centre, University Health Network, and.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON
| | - M S Tsao
- Princess Margaret Cancer Centre, University Health Network, and.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON
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Tsao MS, Kerr KM, Kockx M, Beasley MB, Borczuk AC, Botling J, Bubendorf L, Chirieac L, Chen G, Chou TY, Chung JH, Dacic S, Lantuejoul S, Mino-Kenudson M, Moreira AL, Nicholson AG, Noguchi M, Pelosi G, Poleri C, Russell PA, Sauter J, Thunnissen E, Wistuba I, Yu H, Wynes MW, Pintilie M, Yatabe Y, Hirsch FR. PD-L1 Immunohistochemistry Comparability Study in Real-Life Clinical Samples: Results of Blueprint Phase 2 Project. J Thorac Oncol 2018; 13:1302-1311. [PMID: 29800747 DOI: 10.1016/j.jtho.2018.05.013] [Citation(s) in RCA: 525] [Impact Index Per Article: 87.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 05/12/2018] [Accepted: 05/15/2018] [Indexed: 10/24/2022]
Abstract
OBJECTIVES The Blueprint (BP) Programmed Death Ligand 1 (PD-L1) Immunohistochemistry Comparability Project is a pivotal academic/professional society and industrial collaboration to assess the feasibility of harmonizing the clinical use of five independently developed commercial PD-L1 immunohistochemistry assays. The goal of BP phase 2 (BP2) was to validate the results obtained in BP phase 1 by using real-world clinical lung cancer samples. METHODS BP2 were conducted using 81 lung cancer specimens of various histological and sample types, stained with all five trial-validated PD-L1 assays (22C3, 28-8, SP142, SP263, and 73-10); the slides were evaluated by an international panel of pathologists. BP2 also assessed the reliability of PD-L1 scoring by using digital images, and samples prepared for cytological examination. PD-L1 expression was assessed for percentage (tumor proportional score) of tumor cell (TC) and immune cell areas showing PD-L1 staining, with TCs scored continuously or categorically with the cutoffs used in checkpoint inhibitor trials. RESULTS The BP2 results showed highly comparable staining by the 22C3, 28-8 and SP263 assays; less sensitivity with the SP142 assay; and higher sensitivity with the 73-10 assay to detect PD-L1 expression on TCs. Glass slide and digital image scorings were highly concordant (Pearson correlation >0.96). There was very strong reliability among pathologists in TC PD-L1 scoring with all assays (overall intraclass correlation coefficient [ICC] = 0.86-0.93), poor reliability in IC PD-L1 scoring (overall ICC = 0.18-0.19), and good agreement in assessing PD-L1 status on cytological cell block materials (ICC = 0.78-0.85). CONCLUSION BP2 consolidates the analytical evidence for interchangeability of the 22C3, 28-8, and SP263 assays and lower sensitivity of the SP142 assay for determining tumor proportion score on TCs and demonstrates greater sensitivity of the 73-10 assay compared with that of the other assays.
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Affiliation(s)
- Ming Sound Tsao
- Department of Pathology, University Health Network/Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Keith M Kerr
- Department of Pathology, Aberdeen Royal Infirmary, Aberdeen University Medical School, Aberdeen, Scotland, United Kingdom
| | | | - Mary-Beth Beasley
- Department of Pathology, Mount Sinai Medical Center, New York, New York
| | - Alain C Borczuk
- Department of Pathology, Weill Cornell Medicine, New York, New York
| | - Johan Botling
- Department of Immunology Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lukas Bubendorf
- Institute of Pathology, University Hospital Basel, Pathologie, Basel, Switzerland
| | - Lucian Chirieac
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Gang Chen
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Teh-Ying Chou
- Division of Molecular Pathology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Republic of China
| | - Jin-Haeng Chung
- Department of Pathology and Respiratory Center, Seoul National University Bundang Hospital, Seongnam city, Gyeonggi-do, Republic of Korea
| | - Sanja Dacic
- Department of Pathology University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Andre L Moreira
- New York University Langone Health, Department of Pathology, New York, New York
| | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Harefield National Health Service Foundation Trust and National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Masayuki Noguchi
- Department of Pathology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, and Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Gruppo, MultiMedica, Milan, Italy
| | - Claudia Poleri
- Office of Pathology Consultants, Buenos Aires, Argentina
| | | | - Jennifer Sauter
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Erik Thunnissen
- Department of Pathology, VU University Medical Center, Amsterdam, the Netherlands
| | - Ignacio Wistuba
- Department of Translational Molecular Pathology, M. D. Anderson Cancer Center, Houston, Texas
| | - Hui Yu
- University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Murry W Wynes
- International Association for the Study of Lung Cancer, Aurora, Colorado
| | - Melania Pintilie
- Department of Biostatistics, University Health Network, Princess Margaret Cancer Centre Toronto, Ontario, Canada
| | - Yasushi Yatabe
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center, Nagoya, Japan
| | - Fred R Hirsch
- University of Colorado Anschutz Medical Campus, Aurora, Colorado; International Association for the Study of Lung Cancer, Aurora, Colorado.
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Sorotsky H, Moskovitz M, Weiss J, Pintilie M, Leighl NB, Bradbury PA, Liu G, Kia A, Cabanero M, Pugh TJ, Torti D, Tsao MS, Torchia J, Shepherd FA. The effect of prior smoking history on the molecular profile of EGFR mutant (EGFRm) non-small cell lung cancer (NSCLC). J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.8533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Hadas Sorotsky
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Mor Moskovitz
- Institute of Oncology, Rambam health care campus, Haifa, Israel, Haifa, Israel
| | - Jessica Weiss
- University Hospital Network (UHN) Biostatistics department, Toronto, ON, Canada
| | - Melania Pintilie
- University Hospital Network (UHN) Biostatistics department, Toronto, ON, Canada
| | | | | | - Geoffrey Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Alborz Kia
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Michael Cabanero
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Trevor John Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Dax Torti
- PM-OICR TGL, Ontario Institute for Cancer Research (OICR), Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Jonathon Torchia
- PM-OICR TGL, Ontario Institute for Cancer Research (OICR), Toronto, ON, Canada
| | - Frances A. Shepherd
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada
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41
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Perdrizet K, Stockley T, Tsao MS, Morganstein J, Kamel-Reid S, Ranich L, Shepherd FA, Liu G, Bradbury PA, Hwang D, Pal P, Schwock J, Boerner SL, Law JH, Leighl NB. Upfront next generation sequencing in NSCLC: A publicly funded perspective. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.12062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | - Tracy Stockley
- University Health Network, Genome Diagnostics, Laboratory Medicine Program, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Suzanne Kamel-Reid
- Department of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada
| | | | - Frances A. Shepherd
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Geoffrey Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - David Hwang
- University Health Network, Princess Margaret Hospital, University of Toronto, Toronto, ON, Canada
| | | | - Joerg Schwock
- University Health Network, Division of Laboratory Medicine and Pathobiology, Department of Pathology, Toronto, ON, Canada
| | - Scott L. Boerner
- Department of Pathology, University Health Network, University of Toronto, Toronto, ON, Canada
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Chia SKL, Bedard PL, Hilton J, Amir E, Gelmon KA, Goodwin RA, Villa D, Cabanero M, Ritter H, Tu D, Tsao MS, Seymour L. A phase I study of a PD-L1 antibody (Durvalumab) in combination with trastuzumab in HER-2 positive metastatic breast cancer (MBC) progressing on prior anti HER-2 therapies (CCTG IND.229)[NCT02649686]. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.1029] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | - John Hilton
- Ottawa Hospital Cancer Centre, Ottawa, ON, Canada
| | - Eitan Amir
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Karen A. Gelmon
- University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada
| | - Rachel Anne Goodwin
- National Cancer Institute of Canada Clinical Trials Group, The Ottawa Hospital, Ottawa, ON, Canada
| | - Diego Villa
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | | | - Dongsheng Tu
- Canadian Cancer Trials Group, Kingston, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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43
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Stockley T, Souza CA, Cheema PK, Melosky B, Kamel-Reid S, Tsao MS, Spatz A, Karsan A. Evidence-based best practices for EGFR T790M testing in lung cancer in Canada. ACTA ACUST UNITED AC 2018; 25:163-169. [PMID: 29719432 DOI: 10.3747/co.25.4044] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Epidermal growth factor receptor (egfr) tyrosine kinase inhibitors (tkis) are recommended as first-line systemic therapy for patients with non-small-cell lung cancer (nsclc) having mutations in the EGFR gene. Resistance to tkis eventually occurs in all nsclc patients treated with such drugs. In patients with resistance to tkis caused by the EGFR T790M mutation, the third-generation tki osimertinib is now the standard of care. For optimal patient management, accurate EGFR T790M testing is required. A multidisciplinary working group of pathologists, laboratory medicine specialists, medical oncologists, a respirologist, and a thoracic radiologist from across Canada was convened to discuss best practices for EGFR T790M mutation testing in Canada. The group made recommendations in the areas of the testing algorithm and the pre-analytic, analytic, and post-analytic aspects of clinical testing for both tissue testing and liquid biopsy circulating tumour dna testing. The recommendations aim to improve EGFR T790M testing in Canada and to thereby improve patient care.
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Affiliation(s)
- T Stockley
- Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network; and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON
| | - C A Souza
- Department of Medical Imaging, The Ottawa Hospital, Ottawa, ON
| | - P K Cheema
- William Osler Health System, Brampton; and Department of Medicine, University of Toronto, Toronto, ON
| | - B Melosky
- Department of Oncology, BC Cancer, Vancouver, BC
| | - S Kamel-Reid
- Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network; and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON.,Department of Medical Biophysics, University of Toronto, Toronto, ON
| | - M S Tsao
- Department of Pathology, University Health Network; and Princess Margaret Cancer Centre, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON
| | - A Spatz
- Lady Davis Institute for Medical Research; McGill University Health Centre; and Department of Pathology, McGill University, Montreal, QC
| | - A Karsan
- Centre for Clinical Genomics, Michael Smith Genome Sciences Centre, BC Cancer Research Centre; and Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC
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Thunnissen E, Allen TC, Adam J, Aisner DL, Beasley MB, Borczuk AC, Cagle PT, Capelozzi VL, Cooper W, Hariri LP, Kern I, Lantuejoul S, Miller R, Mino-Kenudson M, Radonic T, Raparia K, Rekhtman N, Roy-Chowdhuri S, Russell P, Schneider F, Sholl LM, Tsao MS, Vivero M, Yatabe Y. Immunohistochemistry of Pulmonary Biomarkers: A Perspective From Members of the Pulmonary Pathology Society. Arch Pathol Lab Med 2017; 142:408-419. [PMID: 28686497 DOI: 10.5858/arpa.2017-0106-sa] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The use of immunohistochemistry for the determination of pulmonary carcinoma biomarkers is a well-established and powerful technique. Immunohistochemisty is readily available in pathology laboratories, is relatively easy to perform and assess, can provide clinically meaningful results very quickly, and is relatively inexpensive. Pulmonary predictive biomarkers provide results essential for timely and accurate therapeutic decision making; for patients with metastatic non-small cell lung cancer, predictive immunohistochemistry includes ALK and programmed death ligand-1 (PD-L1) (ROS1, EGFR in Europe) testing. Handling along proper methodologic lines is needed to ensure patients receive the most accurate and representative test outcomes.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yasushi Yatabe
- From the Department of Pathology, VU University Medical Center, Amsterdam, the Netherlands (Drs Thunnissen and Radonic); the Department of Pathology, The University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Gustave Roussy, Villejuif, France (Dr Adam); the Department of Pathology, University of Colorado, Aurora (Dr Aisner); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Pathology, Weill Cornell University Medical Center, New York, New York (Dr Borczuk); the Department of Pathology & Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Cagle and Miller); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of Pathology, Royal Prince Alfred Hospital, Sydney, Australia (Dr Cooper); the Department of Pathology, Massachusetts General Hospital, Boston (Drs Hariri and Mino-Kenudson); the Department of Pathology, University Clinic Golnik, Golnik, Slovenia (Dr Kern); the Department of Pathology, INSERM U578, CHU A Michallon, Centre Léon Bérard, Lyon, Université Joseph Fourier INSERM U 823, Institut A. Bonniot, Grenoble, France (Dr Lantuejoul); the Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Dr Raparia); the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York (Dr Rekhtman); the Department of Pathology, The University Of Texas MD Anderson Cancer Center, Houston (Dr Roy-Chowdhuri); the Department of Pathology, St. Vincent's Pathology, Fitzroy, Australia (Ms Russell); the Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (Dr Schneider); the Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts (Drs Sholl and Vivero); the Department of Pathology, University of Toronto, University Health Network, Toronto, Ontario, Canada (Dr Tsao); and the Department of Pathology and Molecular Diagnostics, Aichi Cancer Center, Nagoya, Japan (Dr Yatabe)
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45
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Goffin JR, Pond GR, Tremblay A, Johnston MR, Goss GD, Nicholas GA, Martel S, Bhatia R, Liu G, Roberts H, Tammemagi M, Atkar-Khattra S, Tsao MS, Lam SC, Rudkowski J. Use of a marketing plan for recruitment to a lung cancer screening study. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.1548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
1548 Background: Recruitment to clinic trials is typically poor. Among barriers to recruitment may be the limited knowledge of trialists with respect to marketing techniques. Improvements in marketing could decrease recruitment time and shorten the time to access new interventions. We hypothesized that a marketing plan would improve recruitment to a lung cancer screening study. Methods: The Pan-Canadian Early Detection of Lung Cancer Trial recruited subjects from 8 centres to a screening study of low-dose CT scan and autofluorescence bronchoscopy. Recruitment processes were undertaken independently at each centre. One centre (M) used marketing expertise and a marketing plan, including surveying study candidates for motivators, resulting in specific newsprint advertisements. Screened trial candidates provided demographic and tobacco use data and indicated how they had heard about the study (bus, friend/family, MD, mail, newsprint, radio, TV, other). No site paid for radio or TV time. We used regression analyses to assess whether newsprint advertisements were more effective for recruitment at site M compared with all other sites. Results: From 2008 to 2010, 7059 candidates contacted all centres for eligibility screening, including 779 at centre M. Overall, 50.2% were female; median age was 59 yrs. Compared with other centres, candidates at centre M had less education (p < 0.001), a higher median 3-year lung cancer risk (2.3 vs 2.0%, p < 0.001), but were more likely to have learned of the study by newsprint (58.8 vs 53.3%, chi-squared p = 0.004), and were more likely to be recruited (44.0 vs 34.9%, p < 0.001). It was more likely that newsprint was the driver for screening contact among candidates with higher education level (OR 1.05/level), higher age (OR 1.03 / yr) and contact at site M (OR 1.31) (all < 0.001). Recruitment after eligibility screening was higher when newsprint was the driver for contact on univariable but not multivariable analysis. Conclusions: The effectiveness of newsprint advertising in motivating study contact may be improved by the formal use of marketing expertise. Newsprint advertising may improve the likelihood of recruitment after study screening, possibly through improved initial self-screening by the candidate. Clinical trial information: NCT00751660.
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Affiliation(s)
| | | | - Alain Tremblay
- Division of Respiratory Medicine, University of Calgary and Alberta Thoracic Oncology Program, Calgary, AB, Canada
| | | | | | | | - Simon Martel
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, QC, Canada
| | | | - Geoffrey Liu
- Ontario Cancer Institute, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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46
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Bradbury PA, Ding K, Ellis PM, Seymour L, De Kievit F, Jones G, Morris CD, Green E, Goss GD, Tsao MS, Shepherd FA. Evaluation of stored liquid biopsies for molecular profiling in patients with non-small cell lung cancer (NSCLC). J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.9024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9024 Background: Molecular profiling is often limited by access to sufficient tumour tissue for comprehensive analysis and due to tumour heterogeneity, the complete range of tumor DNA abnormalities may not be represented nor accurately reflect the clinical evolution of disease. Circulating tumour DNA (ctDNA) can be used as a liquid biopsy for molecular abnormalities detection, quantification and monitoring for personalised treatment strategies. Methods: Plasma was collected at baseline (BL) and during study therapy from advanced NSCLC patients (pts) enrolled in a placebo controlled phase III trial of a novel irrerversible EGFR inhibitor; all patients had received standard therapy with chemotherapy and gefitinib or erlotinib. Archival tissue was collected when available but biopsy was not required prior to enrolment. BL Plasma ( < 3ml), stored for ~8 years was used to extract DNA and analysed using InVision (enhanced tagged-amplicon sequencing). Results: BL plasma from 387 pts was tested; 289 pts had available tissue results (from archival tissue collected at diagnosis) for EGFR (174WT/115Mut) and 243 for KRAS (205WT/38Mut). Despite age of plasma samples, ctDNA analysis detected cancer mutations in 310 pts (82%): TP53 (45%), KRAS (15%), and EGFR (43%; 56% were EGFR del19 and 29% L858R); T790M was detected in 80 patients. EGFR mutations were identified in 29 patients and KRAS in 10 patients with unknown tissue status. Also of note, STK11 (32 pts, 12 with KRAS), BRAF (5pts, 3 with V600E), MET(7 pts, 4 with METamp), ERBB2 (16pts, 10 with ERBB2amp) were identified in ctDNA analysis. Median time and median number of lines of systemic therapy between tissue biopsy and blood was 714 days and 3 lines respectively. Further analyses of ctDNA analyses in context of patient and trial outcomes are in progress. Conclusions: Liquid biopsies provide opportunity to evaluate molecular mutation profile in NSCLC patients. We demonstrate a highly sensitive method for ctDNA analysis which is complementary to tissue molecular analysis.
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Affiliation(s)
| | - Keyue Ding
- Canadian Cancer Trials Group, Kingston, ON, Canada
| | | | | | | | | | | | | | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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47
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Lheureux S, Burnier JV, Tan Q, Kanjanapan Y, Clarke B, Tinker A, Ghatage P, Dhani NC, Butler MO, Welch S, Weberpals JI, Tan DSP, Brooks K, Ramsahai J, Wang L, Shaw PA, Tsao MS, Garg S, Stockley T, Oza AM. Phase II clinical and molecular trial of oral ENMD-2076 in clear cell ovarian cancer (CCOC): A study of the Princess Margaret phase II consortium. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.5522] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
5522 Background: CCOC is a rare chemoresistant subtype of OC. ENMD-2076 is an oral multi-target kinase inhibitor with antiangiogenic/antiproliferative profile; selective activity against the mitotic kinase Aurora A and VEGFRs, FGFRs. Methods: This is a multi-center Phase II study of ENMD-2076 in pts with recurrent CCOC and prior platinum. Primary endpoints were ORR and 6-m PFS rate. Correlative analyses include ARID1A, PTEN expression by IHC and genome sequencing by custom capture library of 555 genes. Results: Completed study enrolled 40 pts – 37 evaluable, median age of 54 (39-78). 12 pts (31%) received prior radiation and 24 (62%), 11 (28%), 4 (10%) had 1, 2 or 3 lines of chemotherapy. Archival tissue was available for 36/37 pts. Best response was PR for 2 pts (1 unconfirmed), SD for 25 (68%) and PD for 10 (26%) pts. Median PFS was 3.7 months (m) (95%CI: 3.4-4.4). ENMD was well tolerated with main related AE: hypertension (21 pts - 8 G3), nausea (18 pts -1 G3) and diarrhea (17 pts - 4 G3). By IHC, median PFS (95%CI) in ARID1A loss (19 pts) was 4.1m (3.5-10.3) vs 3.6m (1.7-3.9) in ARID1A positive (17 pts) (p = 0.024). Whilst, by IHC, PTEN was loss in 20 pts; intact in 10 and heterogeneous in 6 pts; no difference in PFS was observed. By PI3KCA mutation status, median PFS (95%CI) in wild-type (WT) (12 pts) was 5m (3.4-19.3) vs 3.7m (167-4.4) in mutated group (20 pts) (p = 0.038). Molecular profiling showed variants in PI3KCA (27%), ARID1A (26%), TP53 (7%), BRIP1 (7%), ATM (11%), BRCA1 (5%), BRCA2 (3%), RAD50 (3%), PABL2 (1%), RAD51C (1%), FANCA (1%), CTNNB1 (3%).The patient with the longest treatment duration (22m) was PTEN WT, diploid PTEN, putative bi-allelic inactivation of ARID1A. Conclusions: The PFS at 6 months was 20% for the evaluable patients, 31% in ARID1A loss and 12% in ARID1A positive patients. Loss of ARID1A, a known negative prognostic factor, was correlated with better PFS on ENMD-2076. Additional molecular profiling of the baseline biopsy material is underway. Clinical trial information: NCT01914510.
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Affiliation(s)
- Stephanie Lheureux
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Julia V. Burnier
- University Health Network Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Qian Tan
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Yada Kanjanapan
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Blaise Clarke
- Department of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada
| | - Anna Tinker
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Neesha C. Dhani
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Marcus O. Butler
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | | | | | - Kelly Brooks
- Princess Margaret Cancer Centre, University Health Network, Division of Medical Oncology and Hematology, Toronto, ON, Canada
| | - Janelle Ramsahai
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Lisa Wang
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Swati Garg
- University Health Network, Department of Pathology, Toronto, ON, Canada
| | - Tracy Stockley
- University Health Network, Genome Diagnostics, Laboratory Medicine Program, Toronto, ON, Canada
| | - Amit M. Oza
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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48
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Lim C, Sekhon HS, Cutz JC, Hwang DM, Kamel-Reid S, Carter RF, Santos GDC, Waddell T, Binnie M, Patel M, Paul N, Chung T, Brade A, El-Maraghi R, Sit C, Tsao MS, Leighl NB. Improving molecular testing and personalized medicine in non-small-cell lung cancer in Ontario. ACTA ACUST UNITED AC 2017; 24:103-110. [PMID: 28490924 DOI: 10.3747/co.24.3495] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Although molecular testing has become standard in managing advanced nonsquamous non-small-cell lung cancer (nsclc), most patients undergo minimally invasive procedures, and the diagnostic tumour specimens available for testing are usually limited. A knowledge translation initiative to educate diagnostic specialists about sampling techniques and laboratory processes was undertaken to improve the uptake and application of molecular testing in advanced lung cancer. METHODS A multidisciplinary panel of physician experts including pathologists, respirologists, interventional thoracic radiologists, thoracic surgeons, medical oncologists, and radiation oncologists developed a specialty-specific education program, adapting international clinical guidelines to the local Ontario context. Expert recommendations from the program are reported here. RESULTS Panel experts agreed that specialists procuring samples for lung cancer diagnosis should choose biopsy techniques that maximize tumour cellularity, and that conservation strategies to maximize tissue for molecular testing should be used in tissue processing. The timeliness of molecular reporting can be improved by pathologist-initiated reflex testing upon confirmation of nonsquamous nsclc and by prompt transportation of specimens to designated molecular diagnostic centres. To coordinate timely molecular testing and optimal treatment, collaboration and communication between all clinicians involved in diagnosing patients with advanced lung cancer are mandatory. CONCLUSIONS Knowledge transfer to diagnostic lung cancer specialists could potentially improve molecular testing and treatment for advanced lung cancer patients.
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Affiliation(s)
- C Lim
- Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto
| | - H S Sekhon
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa
| | - J C Cutz
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton
| | - D M Hwang
- Laboratory Medicine Program, University Health Network, University of Toronto, Toronto
| | - S Kamel-Reid
- Laboratory Medicine Program, University Health Network, University of Toronto, Toronto.,Molecular Diagnostics Laboratory, University Health Network, Toronto
| | - R F Carter
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton.,LifeLabs Genetics, Toronto
| | - G da Cunha Santos
- Laboratory Medicine Program, University Health Network, University of Toronto, Toronto
| | - T Waddell
- Division of Thoracic Surgery, University of Toronto, Toronto
| | - M Binnie
- Division of Respirology, University of Toronto, Toronto
| | - M Patel
- Division of Respirology, Trillium Health Partners, Mississauga
| | - N Paul
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Toronto
| | - T Chung
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Toronto
| | - A Brade
- Department of Radiation Oncology, University of Toronto, Toronto
| | - R El-Maraghi
- Simcoe Muskoka Regional Cancer Centre, Barrie; and
| | - C Sit
- Lung Cancer Canada, Toronto, ON
| | - M S Tsao
- Laboratory Medicine Program, University Health Network, University of Toronto, Toronto
| | - N B Leighl
- Division of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto
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49
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Cabanero M, Sangha R, Sheffield BS, Sukhai M, Pakkal M, Kamel-Reid S, Karsan A, Ionescu D, Juergens RA, Butts C, Tsao MS. Management of EGFR-mutated non-small-cell lung cancer: practical implications from a clinical and pathology perspective. ACTA ACUST UNITED AC 2017; 24:111-119. [PMID: 28490925 DOI: 10.3747/co.24.3524] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Starting in the early 2000s, non-small-cell lung cancer (nsclc) subtypes have evolved from being histologically described to molecularly defined. Management of lung adenocarcinomas now generally requires multiple molecular tests at baseline to define the optimal treatment strategy. More recently, second biopsies performed at progression in patients treated with tyrosine kinase inhibitors (tkis) have further defined the continued use of molecularly targeted therapy. In the present article, we focus on one molecular subtype: EGFR-mutated nsclc. For that patient population, multiple lines of tki therapy are now available either clinically or in clinical trials. Each line of treatment is guided by the specific mutations (for example, L858R, T790M, C797S) identified in EGFR. We first describe the various mechanisms of acquired resistance to EGFR tki treatment. We then focus on strategies that clinicians and pathologists can both use during tissue acquisition and handling to optimize patient results. We also discuss future directions for the molecular characterization of lung cancers with driver mutations, including liquid biopsies. Finally, we provide an algorithm to guide treating physicians managing patients with EGFR-mutated nsclc. The same framework can also be applied to other molecularly defined nsclc subgroups as resistance patterns are elucidated and additional lines of treatment are developed.
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Affiliation(s)
- M Cabanero
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - R Sangha
- Cross Cancer Institute, Edmonton, AB
| | | | - M Sukhai
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - M Pakkal
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | - S Kamel-Reid
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
| | | | | | - R A Juergens
- Juravinski Cancer Centre, McMaster University, Hamilton, ON
| | - C Butts
- Cross Cancer Institute, Edmonton, AB
| | - M S Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON
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50
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Park JYP, Hall A, Hedley DW, Tsao MS, Gallinger S, Zogopoulos G. A preclinical trial to evaluate therapies for BRCA-associated pancreatic cancer. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.4_suppl.332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
332 Background: Pancreatic ductal adenocarcinoma (PDAC) associated with germline BRCA1 or BRCA2mutations may have selective sensitivity to agents that exploit homologous recombination DNA repair defects. We hypothesized that cisplatin, a DNA-crosslinking agent, and talazoparib, a poly(ADP-ribose) polymerase (PARP) inhibitor, monotherapies are efficacious in BRCA-associated PDAC, while combination therapies with these agents have enhanced efficacy. Methods: A preclinical trial was performed in subcutaneous patient-derived tumor xenograft (PDX) mouse models with (n = 5) and without (n = 2) germline BRCA1 or BRCA2mutations. Mice harboring PDX tumors were treated with vehicle, talazoparib, cisplatin, gemcitabine, talazoparib with cisplatin (TC), talazoparib with gemcitabine (TG), or cisplatin with gemcitabine (CG). Twelve tumors were randomized into each trial arm, treated for 28 days, and then monitored without further treatment to assess tumor regrowth. Results: Treatment with cisplatin and talazoparib monotherapies resulted in 89.8% and 88.2% tumor growth inhibition (GI) in BRCA-associated cases versus 34.0% and 34.7% GI in the cases without germline BRCAmutations, respectively. Gemcitabine-based combinations were more effective than monotherapies in BRCA-associated cases (p < 0.001), with CG and TG resulting in tumor regression in five and three BRCA-associated cases, respectively. Although we also observed the treatment effect with these combinations in non-BRCA cases, it paralleled the gemcitabine monotherapy effect in these cases (p = 0.322). Following cessation of treatment, we observed heterogeneity in tumor regrowth. CG and TG demonstrated sustained responses across all BRCA-associated cases, however, TG had greater toxicity than CG. Conclusions: Our preclinical data suggest that targeted therapy with CG is efficacious with a sustained response and less toxicity than TG in BRCA-associated PDAC.
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Affiliation(s)
| | - Anita Hall
- McGill University Health Centre, Montreal, QC, Canada
| | - David W. Hedley
- Ontario Cancer Institute, Princess Margaret Hospital, Toronto, ON, Canada
| | - Ming Sound Tsao
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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