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Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, Reeve MP, Laivuori H, Aavikko M, Kaunisto MA, Loukola A, Lahtela E, Mattsson H, Laiho P, Della Briotta Parolo P, Lehisto AA, Kanai M, Mars N, Rämö J, Kiiskinen T, Heyne HO, Veerapen K, Rüeger S, Lemmelä S, Zhou W, Ruotsalainen S, Pärn K, Hiekkalinna T, Koskelainen S, Paajanen T, Llorens V, Gracia-Tabuenca J, Siirtola H, Reis K, Elnahas AG, Sun B, Foley CN, Aalto-Setälä K, Alasoo K, Arvas M, Auro K, Biswas S, Bizaki-Vallaskangas A, Carpen O, Chen CY, Dada OA, Ding Z, Ehm MG, Eklund K, Färkkilä M, Finucane H, Ganna A, Ghazal A, Graham RR, Green EM, Hakanen A, Hautalahti M, Hedman ÅK, Hiltunen M, Hinttala R, Hovatta I, Hu X, Huertas-Vazquez A, Huilaja L, Hunkapiller J, Jacob H, Jensen JN, Joensuu H, John S, Julkunen V, Jung M, Junttila J, Kaarniranta K, Kähönen M, Kajanne R, Kallio L, Kälviäinen R, Kaprio J, Kerimov N, Kettunen J, Kilpeläinen E, Kilpi T, Klinger K, Kosma VM, Kuopio T, Kurra V, Laisk T, Laukkanen J, Lawless N, Liu A, Longerich S, Mägi R, Mäkelä J, Mäkitie A, Malarstig A, Mannermaa A, Maranville J, Matakidou A, Meretoja T, Mozaffari SV, Niemi MEK, Niemi M, Niiranen T, O Donnell CJ, Obeidat ME, Okafo G, Ollila HM, Palomäki A, Palotie T, Partanen J, Paul DS, Pelkonen M, Pendergrass RK, Petrovski S, Pitkäranta A, Platt A, Pulford D, Punkka E, Pussinen P, Raghavan N, Rahimov F, Rajpal D, Renaud NA, Riley-Gillis B, Rodosthenous R, Saarentaus E, Salminen A, Salminen E, Salomaa V, Schleutker J, Serpi R, Shen HY, Siegel R, Silander K, Siltanen S, Soini S, Soininen H, Sul JH, Tachmazidou I, Tasanen K, Tienari P, Toppila-Salmi S, Tukiainen T, Tuomi T, Turunen JA, Ulirsch JC, Vaura F, Virolainen P, Waring J, Waterworth D, Yang R, Nelis M, Reigo A, Metspalu A, Milani L, Esko T, Fox C, Havulinna AS, Perola M, Ripatti S, Jalanko A, Laitinen T, Mäkelä TP, Plenge R, McCarthy M, Runz H, Daly MJ, Palotie A. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 2023; 613:508-518. [PMID: 36653562 PMCID: PMC9849126 DOI: 10.1038/s41586-022-05473-8] [Citation(s) in RCA: 543] [Impact Index Per Article: 543.0] [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: 01/10/2022] [Accepted: 10/21/2022] [Indexed: 01/20/2023]
Abstract
Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10-11) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of <5% in non-Finnish European individuals, of which 62 (32 PWS) were enriched by more than twofold in Finland. These findings demonstrate the power of bottlenecked populations to find entry points into the biology of common diseases through low-frequency, high impact variants.
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Affiliation(s)
- Mitja I Kurki
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Timo P Sipilä
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | - Kati M Donner
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Mary P Reeve
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland.,Faculty of Medicine and Health Technology, Center for Child, Adolescent and Maternal Health, University of Tampere, Tampere, Finland
| | - Mervi Aavikko
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Anu Loukola
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | - Elisa Lahtela
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Hannele Mattsson
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Päivi Laiho
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Pietro Della Briotta Parolo
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Arto A Lehisto
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Masahiro Kanai
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Joel Rämö
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Henrike O Heyne
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Digital Health Center, Hasso Plattner Institute for Digital Engineering, University of Potsdam Potsdam, Potsdam, Germany.,Hasso Plattner Institute for Digital Health at Mount Sinai, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kumar Veerapen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sina Rüeger
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Susanna Lemmelä
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Wei Zhou
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Kalle Pärn
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tero Hiekkalinna
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Sami Koskelainen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Teemu Paajanen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Vincent Llorens
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Javier Gracia-Tabuenca
- TAUCHI Research Center, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Harri Siirtola
- TAUCHI Research Center, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Kadri Reis
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Benjamin Sun
- Translational Biology, Research and Development, Biogen, Cambridge, MA, USA.,BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Christopher N Foley
- Optima Partners, Edinburgh, UK.,MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Kaur Alasoo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Mikko Arvas
- Finnish Red Cross Blood Service, Helsinki, Finland
| | | | | | | | - Olli Carpen
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | | | - Oluwaseun A Dada
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Zhihao Ding
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | | | - Kari Eklund
- Division of Rheumatology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland.,Orton Orthopedic Hospital, Helsinki, Finland
| | - Martti Färkkilä
- Abdominal Center, Helsinki University Hospital, Helsinki University, Helsinki, Finland
| | - Hilary Finucane
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Awaisa Ghazal
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | | | - Antti Hakanen
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Åsa K Hedman
- Pfizer, New York, NY, USA.,Department of Medicine, Karolinska Institute, Solna, Sweden
| | - Mikko Hiltunen
- Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Reetta Hinttala
- Medical Research Center Oulu and PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Oulu University Hospital, Oulu, Finland
| | - Iiris Hovatta
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | | | - Laura Huilaja
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Department of Dermatology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | | | | | | | - Heikki Joensuu
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Valtteri Julkunen
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Marc Jung
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | - Juhani Junttila
- Northern Finland Biobank Borealis, University of Oulu, Northern Ostrobothnia Hospital District, Oulu, Finland
| | - Kai Kaarniranta
- Department of Ophthalmology, Kuopio University Hospital, Kuopio, Finland.,Department of Ophthalmology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Lila Kallio
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | - Reetta Kälviäinen
- Epilepsy Center, Kuopio University Hospital, Kuopio, Finland.,Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | | | - Nurlan Kerimov
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Johannes Kettunen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Computational Medicine, Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Elina Kilpeläinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Terhi Kilpi
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | | | - Veli-Matti Kosma
- Biobank of Eastern Finland, University of Eastern Finland, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | - Teijo Kuopio
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland
| | - Venla Kurra
- Department of Clinical Genetics, Tampere University Hospital, Tampere, Finland.,Department of Clinical Genetics, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jari Laukkanen
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland.,Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Aoxing Liu
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Antti Mäkitie
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | - Anders Malarstig
- Pfizer, Cambridge, MA, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| | - Arto Mannermaa
- Biobank of Eastern Finland, University of Eastern Finland, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | | | - Athena Matakidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Tuomo Meretoja
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Mari E K Niemi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Marianna Niemi
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,TAUCHI Research Center & Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Teemu Niiranen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,Turku University Hospital and University of Turku, Turku, Finland
| | | | - Ma En Obeidat
- Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | - George Okafo
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Antti Palomäki
- Turku University Hospital and University of Turku, Turku, Finland
| | - Tuula Palotie
- Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | - Jukka Partanen
- Finnish Red Cross Blood Service, Helsinki, Finland.,Finnish Hematological Biobank, Helsinki, Finland
| | - Dirk S Paul
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Margit Pelkonen
- Department of Pulmonary Diseases, Kuopio University Hospital, Kuopio, Finland
| | | | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Anne Pitkäranta
- Department of Otorhinolaryngology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Adam Platt
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | | | - Eero Punkka
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | - Pirkko Pussinen
- Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | | | | | - Deepak Rajpal
- Translational Sciences, Sanofi R&D, Framingham, MA, USA
| | - Nicole A Renaud
- Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | | | - Rodosthenis Rodosthenous
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Elmo Saarentaus
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Aino Salminen
- Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | - Eveliina Salminen
- Helsinki University Hospital, Helsinki, Finland.,Department of Clinical Genetics, HUSLAB, HUS Diagnostic Center, University of Helsinki, Helsinki, Finland
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Johanna Schleutker
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | - Raisa Serpi
- Northern Finland Biobank Borealis, University of Oulu, Northern Ostrobothnia Hospital District, Oulu, Finland
| | - Huei-Yi Shen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Richard Siegel
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Kaisa Silander
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Sanna Siltanen
- Finnish Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Sirpa Soini
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Ioanna Tachmazidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Kaisa Tasanen
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Department of Dermatology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | - Pentti Tienari
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland.,Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - Sanna Toppila-Salmi
- Department of Allergy, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Taru Tukiainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Abdominal Center, Endocrinology, Helsinki University Hospital, Helsinki, Finland.,Folkhalsan Research Center, Helsinki, Finland.,Research Program of Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Joni A Turunen
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Eye Genetics Group, Folkhälsan Research Center, Helsinki, Finland
| | - Jacob C Ulirsch
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Felix Vaura
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,University of Turku, Turku, Finland
| | - Petri Virolainen
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | | | | | | | - Mari Nelis
- Genomics Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Reigo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Anu Jalanko
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tarja Laitinen
- Finnish Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Tomi P Mäkelä
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | | | | | - Mark J Daly
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland. .,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
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Hollis RL, Meynert AM, Michie CO, Rye T, Churchman M, Hallas-Potts A, Croy I, McCluggage WG, Williams AR, Bartos C, Iida Y, Okamoto A, Dougherty B, Barrett JC, March R, Matakidou A, Roxburgh P, Semple CA, Harkin DP, Kennedy R, Herrington CS, Gourley C. Multiomic Characterization of High-Grade Serous Ovarian Carcinoma Enables High-Resolution Patient Stratification. Clin Cancer Res 2022; 28:3546-3556. [PMID: 35696721 PMCID: PMC9662902 DOI: 10.1158/1078-0432.ccr-22-0368] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/13/2022] [Accepted: 06/09/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE High-grade serous ovarian carcinoma (HGSOC) is the most common ovarian cancer type; most patients experience disease recurrence that accumulates chemoresistance, leading to treatment failure. Genomic and transcriptomic features have been associated with differential outcome and treatment response. However, the relationship between events at the gene sequence, copy number, and gene-expression levels remains poorly defined. EXPERIMENTAL DESIGN We perform multiomic characterization of a large HGSOC cohort (n = 362) with detailed clinical annotation to interrogate the relationship between patient subgroups defined by specific molecular events. RESULTS BRCA2-mutant (BRCA2m) and EMSY-overexpressing cases demonstrated prolonged survival [multivariable hazard ratios (HR) 0.40 and 0.51] and significantly higher first- and second-line chemotherapy response rate. CCNE1-gained (CCNE1g) cases demonstrated underrepresentation of FIGO stage IV cases, with shorter survival but no significant difference in treatment response. We demonstrate marked overlap between the TCGA- and Tothill-derived subtypes. IMR/C2 cases displayed higher BRCA1/2m frequency (25.5%, 32.5%) and significantly greater immune cell infiltration, whereas PRO/C5 cases had the highest CCNE1g rate (23.9%, 22.2%) and were uniformly low in immune cell infiltration. The survival benefit for cases with aberrations in homologous recombination repair (HRR) genes was apparent across all transcriptomic subtypes (HR range, 0.48-0.68). There was significant co-occurrence of RB loss and HRR gene aberrations; RB loss was further associated with favorable survival within HRR-aberrant cases (multivariable HR, 0.50). CONCLUSIONS These data paint a high-resolution picture of the molecular landscape in HGSOC, better defining patients who may benefit most from specific molecular therapeutics and highlighting those for whom novel treatment strategies are needed to improve outcomes.
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Affiliation(s)
- Robert L. Hollis
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Corresponding Author: Robb L. Hollis, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, Scotland, UK. E-mail:
| | - Alison M. Meynert
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Caroline O. Michie
- Edinburgh Cancer Centre, Western General Hospital, NHS Lothian, Edinburgh, UK
| | - Tzyvia Rye
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Michael Churchman
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Amelia Hallas-Potts
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ian Croy
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | | | - Clare Bartos
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Yasushi Iida
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- The Jikei University School of Medicine, Tokyo, Japan
| | - Aikou Okamoto
- The Jikei University School of Medicine, Tokyo, Japan
| | - Brian Dougherty
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, Massachusetts
| | - J. Carl Barrett
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, Massachusetts
| | - Ruth March
- Precision Medicine and Biosamples, Oncology R&D, AstraZeneca, Cambridge, UK
| | - Athena Matakidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Patricia Roxburgh
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Belfast, UK
- Beatson West of Scotland Cancer Centre, Glasgow, UK
| | - Colin A. Semple
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - D. Paul Harkin
- Almac Diagnostics, Craigavon, UK
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
| | - Richard Kennedy
- Almac Diagnostics, Craigavon, UK
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
| | - C. Simon Herrington
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Charlie Gourley
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
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Lemmelä S, Wigmore EM, Benner C, Havulinna AS, Ong RMY, Kempf T, Wollert KC, Blankenberg S, Zeller T, Peters JE, Salomaa V, Fritsch M, March R, Palotie A, Daly M, Butterworth AS, Kinnunen M, Paul DS, Matakidou A. Integrated analyses of growth differentiation factor-15 concentration and cardiometabolic diseases in humans. eLife 2022; 11:e76272. [PMID: 35916366 PMCID: PMC9391041 DOI: 10.7554/elife.76272] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 08/01/2022] [Indexed: 02/02/2023] Open
Abstract
Growth differentiation factor-15 (GDF15) is a stress response cytokine that is elevated in several cardiometabolic diseases and has attracted interest as a potential therapeutic target. To further explore the association of GDF15 with human disease, we conducted a broad study into the phenotypic and genetic correlates of GDF15 concentration in up to 14,099 individuals. Assessment of 772 traits across 6610 participants in FINRISK identified associations of GDF15 concentration with a range of phenotypes including all-cause mortality, cardiometabolic disease, respiratory diseases and psychiatric disorders, as well as inflammatory markers. A meta-analysis of genome-wide association studies (GWAS) of GDF15 concentration across three different assay platforms (n=14,099) confirmed significant heterogeneity due to a common missense variant (rs1058587; p.H202D) in GDF15, potentially due to epitope-binding artefacts. After conditioning on rs1058587, statistical fine mapping identified four independent putative causal signals at the locus. Mendelian randomisation (MR) analysis found evidence of a causal relationship between GDF15 concentration and high-density lipoprotein (HDL) but not body mass index (BMI). Using reverse MR, we identified a potential causal association of BMI on GDF15 (IVW pFDR = 0.0040). Taken together, our data derived from human population cohorts do not support a role for moderately elevated GDF15 concentrations as a causal factor in human cardiometabolic disease but support its role as a biomarker of metabolic stress.
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Affiliation(s)
- Susanna Lemmelä
- Institute for Molecular Medicine Finland, University of HelsinkiHelsinkiFinland
| | | | - Christian Benner
- Institute for Molecular Medicine Finland, University of HelsinkiHelsinkiFinland
| | - Aki S Havulinna
- Institute for Molecular Medicine Finland, University of HelsinkiHelsinkiFinland
- Finnish Institute for Health and WelfareHelsinkiFinland
| | - Rachel MY Ong
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of CambridgeCambridgeUnited Kingdom
| | - Tibor Kempf
- Department of Cardiology and Angiology, Hannover Medical SchoolHannoverGermany
| | - Kai C Wollert
- Department of Cardiology and Angiology, Hannover Medical SchoolHannoverGermany
| | - Stefan Blankenberg
- Clinic of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg-EppendorfHamburgGermany
- Population Health Research Department, University Heart and Vascular Center, University Medical Center Hamburg-EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
| | - Tanja Zeller
- Clinic of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg-EppendorfHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Medical Center Hamburg-EppendorfHamburgGermany
| | - James E Peters
- Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of CambridgeCambridgeUnited Kingdom
| | | | - Maria Fritsch
- Bioscience Renal, Research and Early Development Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZenecaGothenburgSweden
| | - Ruth March
- Precision Medicine, Oncology R&D, AstraZenecaCambridgeUnited Kingdom
| | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of HelsinkiHelsinkiFinland
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General HospitalBostonUnited States
- Program in Medical and Population Genetics, Broad Institute of MIT and HarvardCambridgeUnited States
| | - Mark Daly
- Institute for Molecular Medicine Finland, University of HelsinkiHelsinkiFinland
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General HospitalBostonUnited States
- Program in Medical and Population Genetics, Broad Institute of MIT and HarvardCambridgeUnited States
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of CambridgeCambridgeUnited Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of CambridgeCambridgeUnited Kingdom
- British Heart Foundation Centre of Research Excellence, University of CambridgeCambridgeUnited Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUnited Kingdom
| | - Mervi Kinnunen
- Institute for Molecular Medicine Finland, University of HelsinkiHelsinkiFinland
| | - Dirk S Paul
- Centre for Genomics Research, AstraZenecaCambridgeUnited Kingdom
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of CambridgeCambridgeUnited Kingdom
- British Heart Foundation Centre of Research Excellence, University of CambridgeCambridgeUnited Kingdom
| | - Athena Matakidou
- Centre for Genomics Research, AstraZenecaCambridgeUnited Kingdom
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4
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Welsh SJ, Thompson N, Warren A, Priest AN, Barrett T, Ursprung S, Gallagher FA, Zaccagna F, Stewart GD, Fife KM, Matakidou A, Machin AJ, Qian W, Ingleson V, Mullin J, Riddick ACP, Armitage JN, Connolly S, Eisen TGQ. Dynamic biomarker and imaging changes from a phase II study of pre- and post-surgical sunitinib. BJU Int 2022; 130:244-253. [PMID: 34549873 DOI: 10.1111/bju.15600] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To explore translational biological and imaging biomarkers for sunitinib treatment before and after debulking nephrectomy in the NeoSun (European Union Drug Regulating Authorities Clinical Trials Database [EudraCT] number: 2005-004502-82) single-centre, single-arm, single-agent, Phase II trial. PATIENTS AND METHODS Treatment-naïve patients with metastatic renal cell carcinoma (mRCC) received 50 mg once daily sunitinib for 12 days pre-surgically, then post-surgery on 4 week-on, 2 week-off, repeating 6-week cycles until disease progression in a single arm phase II trial. Structural and dynamic contrast-enhanced magnet resonance imaging (DCE-MRI) and research blood sampling were performed at baseline and after 12 days. Computed tomography imaging was performed at baseline and post-surgery then every two cycles. The primary endpoint was objective response rate (Response Evaluation Criteria In Solid Tumors [RECIST]) excluding the resected kidney. Secondary endpoints included changes in DCE-MRI of the tumour following pre-surgery sunitinib, overall survival (OS), progression-free survival (PFS), response duration, surgical morbidity/mortality, and toxicity. Translational and imaging endpoints were exploratory. RESULTS A total of 14 patients received pre-surgery sunitinib, 71% (10/14) took the planned 12 doses. All underwent nephrectomy, and 13 recommenced sunitinib postoperatively. In all, 58.3% (seven of 12) of patients achieved partial or complete response (PR or CR) (95% confidence interval 27.7-84.8%). The median OS was 33.7 months and median PFS was 15.7 months. Amongst those achieving a PR or CR, the median response duration was 8.7 months. No unexpected surgical complications, sunitinib-related toxicities, or surgical delays occurred. Within the translational endpoints, pre-surgical sunitinib significantly increased necrosis, and reduced cluster of differentiation-31 (CD31), Ki67, circulating vascular endothelial growth factor-C (VEGF-C), and transfer constant (KTrans , measured using DCE-MRI; all P < 0.05). There was a trend for improved OS in patients with high baseline plasma VEGF-C expression (P = 0.02). Reduction in radiological tumour volume after pre-surgical sunitinib correlated with high percentage of solid tumour components at baseline (Spearman's coefficient ρ = 0.69, P = 0.02). Conversely, the percentage tumour volume reduction correlated with lower baseline percentage necrosis (coefficient = -0.51, P = 0.03). CONCLUSION Neoadjuvant studies such as the NeoSun can safely and effectively explore translational biological and imaging endpoints.
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Affiliation(s)
- Sarah J Welsh
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Nicola Thompson
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Anne Warren
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Andrew N Priest
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Stephan Ursprung
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Ferdia A Gallagher
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Fulvio Zaccagna
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Kate M Fife
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Athena Matakidou
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- GlaxoSmithKline, Brentford, UK
| | - Andrea J Machin
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Wendi Qian
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Victoria Ingleson
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jean Mullin
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Antony C P Riddick
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - James N Armitage
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Stephen Connolly
- Department of Urology, Mater Misericordiae University Hospital, University College Dublin, Dublin 7, Ireland
| | - Timothy G Q Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Roche, Welwyn Garden City, UK
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5
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Ursprung S, Mossop H, Gallagher FA, Sala E, Skells R, Sipple JAN, Mitchell TJ, Chhabra A, Fife K, Matakidou A, Young G, Walker A, Thomas MG, Ortuzar MC, Sullivan M, Protheroe A, Oades G, Venugopal B, Warren AY, Stone J, Eisen T, Wason J, Welsh SJ, Stewart GD. The WIRE study a phase II, multi-arm, multi-centre, non-randomised window-of-opportunity clinical trial platform using a Bayesian adaptive design for proof-of-mechanism of novel treatment strategies in operable renal cell cancer - a study protocol. BMC Cancer 2021; 21:1238. [PMID: 34794412 PMCID: PMC8600815 DOI: 10.1186/s12885-021-08965-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 11/04/2021] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Window-of-opportunity trials, evaluating the engagement of drugs with their biological target in the time period between diagnosis and standard-of-care treatment, can help prioritise promising new systemic treatments for later-phase clinical trials. Renal cell carcinoma (RCC), the 7th commonest solid cancer in the UK, exhibits targets for multiple new systemic anti-cancer agents including DNA damage response inhibitors, agents targeting vascular pathways and immune checkpoint inhibitors. Here we present the trial protocol for the WIndow-of-opportunity clinical trial platform for evaluation of novel treatment strategies in REnal cell cancer (WIRE). METHODS WIRE is a Phase II, multi-arm, multi-centre, non-randomised, proof-of-mechanism (single and combination investigational medicinal product [IMP]), platform trial using a Bayesian adaptive design. The Bayesian adaptive design leverages outcome information from initial participants during pre-specified interim analyses to determine and minimise the number of participants required to demonstrate efficacy or futility. Patients with biopsy-proven, surgically resectable, cT1b+, cN0-1, cM0-1 clear cell RCC and no contraindications to the IMPs are eligible to participate. Participants undergo diagnostic staging CT and renal mass biopsy followed by treatment in one of the treatment arms for at least 14 days. Initially, the trial includes five treatment arms with cediranib, cediranib + olaparib, olaparib, durvalumab and durvalumab + olaparib. Participants undergo a multiparametric MRI before and after treatment. Vascularised and de-vascularised tissue is collected at surgery. A ≥ 30% increase in CD8+ T-cells on immunohistochemistry between the screening and nephrectomy is the primary endpoint for durvalumab-containing arms. Meanwhile, a reduction in tumour vascular permeability measured by Ktrans on dynamic contrast-enhanced MRI by ≥30% is the primary endpoint for other arms. Secondary outcomes include adverse events and tumour size change. Exploratory outcomes include biomarkers of drug mechanism and treatment effects in blood, urine, tissue and imaging. DISCUSSION WIRE is the first trial using a window-of-opportunity design to demonstrate pharmacological activity of novel single and combination treatments in RCC in the pre-surgical space. It will provide rationale for prioritising promising treatments for later phase trials and support the development of new biomarkers of treatment effect with its extensive translational agenda. TRIAL REGISTRATION ClinicalTrials.gov: NCT03741426 / EudraCT: 2018-003056-21 .
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Affiliation(s)
| | - Helen Mossop
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Ferdia A Gallagher
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Evis Sala
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Richard Skells
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- AstraZeneca, Cambridge, UK
| | - Jamal A N Sipple
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Thomas J Mitchell
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Wellcome Sanger Institute, Hinxton, UK
| | - Anita Chhabra
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Kate Fife
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Athena Matakidou
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Gemma Young
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Amanda Walker
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Martin G Thomas
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Mark Sullivan
- Oxford University Hospitals National Health Service Foundation Trust, Oxford, UK
| | - Andrew Protheroe
- Oxford University Hospitals National Health Service Foundation Trust, Oxford, UK
| | - Grenville Oades
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Balaji Venugopal
- Institute of Cancer Sciences, University of Glasgow, Beatson West of Scotland Cancer Centre, Glasgow, UK
| | - Anne Y Warren
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Tim Eisen
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - James Wason
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Sarah J Welsh
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Grant D Stewart
- CRUK Cambridge Centre, University of Cambridge, Cambridge, UK.
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
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6
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Ewing A, Meynert A, Churchman M, Grimes GR, Hollis RL, Herrington CS, Rye T, Bartos C, Croy I, Ferguson M, Lennie M, McGoldrick T, McPhail N, Siddiqui N, Dowson S, Glasspool R, Mackean M, Nussey F, McDade B, Ennis D, McMahon L, Matakidou A, Dougherty B, March R, Barrett JC, McNeish IA, Biankin AV, Roxburgh P, Gourley C, Semple CA. Structural Variants at the BRCA1/2 Loci are a Common Source of Homologous Repair Deficiency in High-grade Serous Ovarian Carcinoma. Clin Cancer Res 2021; 27:3201-3214. [PMID: 33741650 PMCID: PMC7610896 DOI: 10.1158/1078-0432.ccr-20-4068] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 10/20/2020] [Revised: 01/29/2021] [Accepted: 03/16/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE The abundance and effects of structural variation at BRCA1/2 in tumors are not well understood. In particular, the impact of these events on homologous recombination repair deficiency (HRD) has yet to be demonstrated. EXPERIMENTAL DESIGN Exploiting a large collection of whole-genome sequencing data from high-grade serous ovarian carcinoma (N = 205) together with matched RNA sequencing for the majority of tumors (N = 150), we have comprehensively characterized mutation and expression at BRCA1/2. RESULTS In addition to the known spectrum of short somatic mutations (SSM), we discovered that multi-megabase structural variants (SV) were a frequent, unappreciated source of BRCA1/2 disruption in these tumors, and we found a genome-wide enrichment for large deletions at the BRCA1/2 loci across the cohort. These SVs independently affected a substantial proportion of patients (16%) in addition to those affected by SSMs (24%), conferring HRD and impacting patient survival. We also detail compound deficiencies involving SSMs and SVs at both loci, demonstrating that the strongest risk of HRD emerges from combined SVs at both BRCA1 and BRCA2 in the absence of SSMs. Furthermore, these SVs are abundant and disruptive in other cancer types. CONCLUSIONS These results extend our understanding of the mutational landscape underlying HRD, increase the number of patients predicted to benefit from therapies exploiting HRD, and suggest there is currently untapped potential in SV detection for patient stratification.
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Affiliation(s)
- Ailith Ewing
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
| | - Alison Meynert
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Michael Churchman
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Graeme R Grimes
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Robert L Hollis
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - C Simon Herrington
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- Edinburgh Pathology, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Tzyvia Rye
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Clare Bartos
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Ian Croy
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Michelle Ferguson
- Department of Oncology, Ninewells Hospital, NHS Tayside, Dundee, Scotland, United Kingdom
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, Scotland, United Kingdom
| | - Mairi Lennie
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, Scotland, United Kingdom
| | - Trevor McGoldrick
- Department of Oncology, Aberdeen Royal Infirmary, Aberdeen, Scotland, United Kingdom
- Institute of Education for Medical and Dental Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - Neil McPhail
- Department of Oncology, Raigmore Hospital, NHS Highland, Inverness, Scotland, United Kingdom
| | - Nadeem Siddiqui
- Department of Gynaecological Oncology, Glasgow Royal Infirmary, Glasgow, Scotland, United Kingdom
| | - Suzanne Dowson
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Rosalind Glasspool
- Beatson West of Scotland Cancer Centre and University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Melanie Mackean
- Edinburgh Cancer Centre, Western General Hospital, NHS Lothian, Edinburgh, Scotland, United Kingdom
| | - Fiona Nussey
- Edinburgh Cancer Centre, Western General Hospital, NHS Lothian, Edinburgh, Scotland, United Kingdom
| | - Brian McDade
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Darren Ennis
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, Scotland, United Kingdom
- Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, England, United Kingdom
| | - Lynn McMahon
- Precision Medicine Scotland (PMS-IC), Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom
| | - Athena Matakidou
- Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, England, United Kingdom
| | - Brian Dougherty
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, Massachusetts
| | - Ruth March
- Precision Medicine, Oncology R&D, AstraZeneca, Cambridge, England, United Kingdom
| | - J Carl Barrett
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, Massachusetts
| | - Iain A McNeish
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, Scotland, United Kingdom
- Beatson West of Scotland Cancer Centre and University of Glasgow, Glasgow, Scotland, United Kingdom
- Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, England, United Kingdom
| | - Andrew V Biankin
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, Scotland, United Kingdom
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, Scotland, United Kingdom
- South Western Sydney Clinical School, Faculty of Medicine, University of NSW, Liverpool, New South Wales, Australia
| | - Patricia Roxburgh
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, Scotland, United Kingdom
- Beatson West of Scotland Cancer Centre and University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Charlie Gourley
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Colin A Semple
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, United Kingdom
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Mohammad G, Matakidou A, Robbins PA, Lakhal-Littleton S. The kidney hepcidin/ferroportin axis controls iron reabsorption and determines the magnitude of kidney and systemic iron overload. Kidney Int 2021; 100:559-569. [PMID: 33991530 PMCID: PMC8456337 DOI: 10.1016/j.kint.2021.04.034] [Citation(s) in RCA: 13] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 04/15/2021] [Accepted: 04/22/2021] [Indexed: 12/21/2022]
Abstract
The hepcidin/ferroportin axis controls systemic iron homeostasis by regulating iron acquisition from the duodenum and reticuloendothelial system, respective sites of iron absorption and recycling. Ferroportin is also abundant in the kidney, where it has been implicated in tubular iron reabsorption. However, it remains unknown whether endogenous hepcidin regulates ferroportin-mediated iron reabsorption under physiological conditions, and whether such regulation is important for kidney and/or systemic iron homeostasis. To address these questions, we generated a novel mouse model with an inducible kidney-tubule specific knock-in of fpnC326Y, which encodes a hepcidin-resistant ferroportin termed FPNC326Y. Under conditions of normal iron availability, female mice harboring this allele had consistently decreased kidney iron but only transiently increased systemic iron indices. Under conditions of excess iron availability, male and female mice harboring this allele had milder kidney iron overload, but greater systemic iron overload relative to controls. Additionally, despite comparable systemic iron overload, kidney iron overload occurred in wild type mice fed an iron-loaded diet but not in hemochromatosis mice harboring a ubiquitous knock-in of fpnC326Y. Thus, our study demonstrates that endogenous hepcidin controls ferroportin-mediated tubular iron reabsorption under physiological conditions. It also shows that such control is important for both kidney and systemic iron homeostasis in the context of iron overload.
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Affiliation(s)
- Goran Mohammad
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Athena Matakidou
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Peter A Robbins
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
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Camacho N, Matakidou A. The contribution of germline DNA damage response mutations on prostate cancer risk and prognosis: A UK Biobank whole-exome analysis. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.6_suppl.67] [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
67 Background: Germline mutations in DNA Damage Response (DDR) genes such as BRCA2 and ATM have been associated with prostate cancer risk and aggressiveness. These associations are largely based on studies that ascertain for cancer diagnosis and family history and provide risk estimates with limited population-level accuracy. Here we evaluate the clinical significance of germline pathogenic variants in 20 DDR genes and a high-risk susceptibility coding variant in HOXB13 using whole exome sequences from (1) the UK Biobank (UKBB), a population-based cohort (300,000 participants) and (2) patients recruited in AZ clinical trials. Methods: Whole exomes from 6,987 prostate cancer patients (5,921 UKBB and 1,066 AZ) and 88,499 cancer-free males were analysed. Known and novel pathogenic variants were identified and associations with disease risk, age of onset, family history, response to hormonal therapy and overall survival were estimated (multiplicity corrected P value < 0.005). Results: HOXB13 G48E (1.36%), ATM (1.03%) and BRCA2 (0.99%) were the largest contributors to prostate cancer risk, each conferring an increase of ~4-fold, followed by CHEK2 with a moderate contribution (0.46%). No significant contributions to prostate cancer risk were observed for any of the other genes analysed. Family history of prostate cancer was not significantly enriched in any of the gene subpopulations of prostate cancer carriers and compared with non-carriers, there was no significant difference in the median age of disease onset. Analysis of clinical outcomes showed that BRCA2 carriers had a 4-fold increased risk of death (Cox PH HR p = 4.11E-12) and poorer overall survival (Log-Rank p = 4.60E-14), with 88% dying from prostate cancer compared to 49% of non- BRCA2 carriers (UKBB analysis). BRCA2 pathogenic mutations were also associated with early failure to hormonal therapy (Cox PH HR 2.38; p = 9.48E-04; AZ cohort analysis). HOXB13, ATM and CHEK2 mutations were not significantly associated with clinical outcomes. Conclusions: This is the largest study to date providing population-based estimates of prostate cancer risk and prognosis, highlighting BRCA2 carriers as a population in clinical need of early identification and targeted intervention. Updated analyses with data from the full 450,000 UKBB participants (9,000 prostate cancers) will be presented.
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Camacho N, Dong L, Matakidou A. Abstract 3522: Population estimates of prostate cancer risk and prognosis for carriers of germline pathogenic variants in disease implicated genes, using 200,000 UK Biobank whole exomes. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-3522] [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: 11/16/2022]
Abstract
Abstract
Germline deleterious variants in DNA Damage Response (DDR) genes such as BRCA2 and ATM have been associated with high risk of disease, poor prognosis and the development of metastatic prostate cancer. These associations have been reported in studies of individuals selected for family history or cancer diagnosis and, therefore, with limited potential to estimate accurate population disease risk. Here we evaluate the clinical significance of germline deleterious variants in 20 DDR genes and four known prostate cancer susceptibility coding variants in POUF51B, HOXB13 and KLK3 using germline whole exome sequencing (WES) data from (1) the UK Biobank (UKBB), a population-based cohort (200,000 with WES) and (2) prostate cancer patients recruited in AZ clinical trials.
WES data from 4,975 prostate cancer patients (3,954 UKBB and 1,021 AZ) and 44,818 controls (cancer-free UKBB male participants) was analysed. We identified 218 carriers with deleterious variants in DDR genes. Of these, 190 carried known pathogenic variants (ClinVar, BIC and ENIGMA consortium) and 28 had novel, pathogenic protein truncating variants. Population disease risk, risk of metastatic disease and overall survival (UKBB patients only) were estimated (multiplicity corrected P value <0.005).
Analysis of deleterious variants revealed significant associations with prostate cancer risk for ATM (OR 4.14, 95% CI 2.97-5.72, p=1.77E-15) and BRCA2 (OR 3.47, 95% CI 2.49-4.77, p=1.70E-12), each contributing to a similar number of cases (1.15% vs 1.11%, respectively). Damaging variants within the remaining DDR genes were less frequent with none reaching significance. A trend for increased disease risk was observed in CHEK2 carriers (OR 2.03, 95% CI 1.18-3.33, p=9.30E-03). Coding variant analysis confirmed associations between variants in POU5F1B, HOXB13 and KLK3 and prostate cancer risk. HOXB13 G84E carriers (1.29%) were at comparable risk to BRCA2 and ATM carriers (OR 3.88, 95% CI 2.85-5.24, p=4.29E-16).
Assesment of patient outcomes showed that BRCA2 carriers were more likely to develop metastatic disease (OR 3.32, 95% CI 1.74-6.45, p=9.94E-05) and had poorer overall survival (Log Rank p=1.33E-08; 85% of patients dying from prostate cancer vs 53% of non BRCA2 carriers). No other gene reached significance. A trend towards poorer survival was observed for PALB2 carriers (Log Rank p=7.91E-03) suggesting that PALB2 could act as a modifier gene once the disease has developed.
This is the largest study to date providing population based estimates of prostate cancer risk, metastasis and survival highlighting mutations in BRCA2, ATM and HOXB13 G48E as the largest contributors to disease risk and confirming the poor prognosis of BRCA2 carriers. Analyses will be updated with data from the full 500,000 UKBB participants (expected January 2020; total of 11,000 prostate cancer cases).
Citation Format: Niedzica Camacho, Liqin Dong, Athena Matakidou. Population estimates of prostate cancer risk and prognosis for carriers of germline pathogenic variants in disease implicated genes, using 200,000 UK Biobank whole exomes [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3522.
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Affiliation(s)
| | - Liqin Dong
- AstraZeneca, Melbourn, Royston, Hertfordshire, United Kingdom
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Lai Z, Golan T, Kindler HL, Dougherty B, Matakidou A, Dong L, Locker G, Harrington EA. Abstract CT217: POLO: Homologous recombination repair gene mutations (HRRm) in metastatic pancreatic cancer (mPaC) tumors. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-ct217] [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: 11/16/2022]
Abstract
Abstract
mPaC patients (pts) with HRRm, including BRCA1 and/or BRCA2 mutations (BRCAm), derive benefit from platinum-based treatment (Pishvaian. J Clin Oncol 2019). In the Phase III POLO trial (NCT02184195) maintenance olaparib conferred a progression-free survival benefit over placebo in pts with a germline (g) BRCAm and mPaC. A prespecified exploratory analysis was conducted to determine the prevalence of tumor tissue biomarkers in pts screened for inclusion in POLO.
Archival tumor samples were provided if available and, irrespective of subsequent pt randomization, DNA was analyzed using a gene panel from Foundation Medicine Inc. (FMI) or exome sequencing by Human Longevity Inc. (HLI). Results were compared with cohorts from FMI (mPaC; FoundationOne CDx panel) and The Cancer Genome Atlas (TCGA; primary and mPaC; exome sequencing).
Tumor samples from 187/3315 (5.6%) pts screened for entry into POLO were available and sequenced. Prevalence of tumor HRRm in the POLO, FMI and TCGA cohorts are presented in the Table. The higher BRCAm prevalence observed in the POLO and FMI cohorts compared with TCGA may be due to sample size or differences in ethnicity or tumor sample location (primary vs metastatic). Mutations in BRCA2, BRCA1 and ATM were most common and were generally mutually exclusive. The prevalence of somatic (s) BRCAm in POLO was consistent with the FMI dataset (~2%); g and s BRCAm were mutually exclusive. Of the HRRm observed in non-BRCA genes, mutations in ATM were most prevalent. Prevalence of mutations in non-HRR genes (CDKN2A, SMAD4, KRAS, TP53) in POLO was consistent with that seen in other pancreatic cancer cohorts.
TablePrevalence, %*POLO (N=187)FMI (N=1046)TCGA (N=146)BRCA24.84.32.1BRCA13.22.10ATM5.32.55.5PALB21.10.90.7CDK1200.50RAD51C00.10RAD51B00.20RAD54L00.20RAD51D00.20BRIP10.50.30.7FANCI00.30FANCL0.50.10BARD10.50.20.7CHEK100.20CHEK200.62.1Any HRR15.512.011.0Non-BRCA HRR7.55.68.9*Some tumors had a mutation in >1 gene
In summary, based on the subgroup of pts with analyzed tumor tissue, the genetic profile of the screened POLO population is reflective of that seen in the overall pancreatic cancer population. ~8% of pts had tumors harboring a BRCAm, with mutations in BRCA2 more prevalent than BRCA1; ~7% of pts had tumors harboring a non-BRCA HRRm, most commonly in ATM (~5%).
Citation Format: Zhongwu Lai, Talia Golan, Hedy L. Kindler, Brian Dougherty, Athena Matakidou, Liqin Dong, Gershon Locker, Elizabeth A. Harrington. POLO: Homologous recombination repair gene mutations (HRRm) in metastatic pancreatic cancer (mPaC) tumors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT217.
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Affiliation(s)
| | - Talia Golan
- 2The Oncology Institute, Sheba Medical Center at Tel-Hashomer, Tel Aviv University, Tel Aviv, Israel
| | | | | | - Athena Matakidou
- 4Centre for Genomics Research, Discovery Sciences, R&D BioPharmaceuticals, AstraZeneca, Cambridge, United Kingdom
| | - Liqin Dong
- 4Centre for Genomics Research, Discovery Sciences, R&D BioPharmaceuticals, AstraZeneca, Cambridge, United Kingdom
| | - Gershon Locker
- 5Oncology Global Medicines Development, AstraZeneca, Gaithersburg, MD
| | - Elizabeth A. Harrington
- 6Translational Medicine, Early Oncology Research and Development, AstraZeneca, Cambridge, United Kingdom
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Hawkins R, Fife K, Hurst M, Wang M, Naicker N, Nolasco S, Eisen T, Matakidou A, Gordon J. Treatment patterns and health outcomes in metastatic renal cell carcinoma patients treated with targeted systemic therapies in the UK. BMC Cancer 2020; 20:670. [PMID: 32680483 PMCID: PMC7368711 DOI: 10.1186/s12885-020-07154-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 03/23/2020] [Accepted: 07/08/2020] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Patients with metastatic renal cell carcinoma (mRCC) treated with targeted systemic therapies have demonstrated favourable outcomes in randomised controlled trials, however real-world evidence is limited. Thus, this study aimed to determine the effectiveness of targeted systemic therapies for patients with mRCC in routine clinical practice in the UK. METHODS A retrospective, observational, longitudinal study based on chart review of newly diagnosed adult mRCC patients treated at two UK hospitals from 2008 to 2015 was conducted. Targeted systemic therapies recommended for use in mRCC patients were evaluated across first to third lines of therapy (1LOT-3LOT). Important exclusions were treatment with cytokine therapy and within non-standard of care clinical trials. Primary outcome measure was overall survival (OS); data were analysed descriptively and using Kaplan-Meyer analysis. RESULTS 652 patients (65.3% male, 35.0% ≥70 years) were included. In 1LOT, 98.5% of patients received sunitinib or pazopanib. In 2LOT and 3LOT, 99.0 and 94.4% received axitinib or everolimus. Median OS was 12.9, 6.5 and 5.9 months at 1LOT, 2LOT and 3LOT respectively. Estimated OS at 1-year was 52.4% (95% CI: 48.6-56.4%) in 1LOT, 31.5% (25.2-39.5%) in 2LOT and 23.8% (10.1-55.9%) in 3LOT. Median OS from 1LOT in favourable, intermediate and poor MSKCC were 39.7, 15.8 and 6.1 months respectively. CONCLUSIONS In this study, treatment was consistent with current National Institute for Health and Care Excellence (NICE) guidelines for mRCC patients. Although the study population favoured poorer prognosis patients, outcomes were more favourable than those for England at the same time. However, overall survival in this 'real-world' population remains poor and indicates significant unmet need for effective and safe treatment options to improve survival among mRCC patients.
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Affiliation(s)
- Robert Hawkins
- University of Manchester and The Christie Hospital, Manchester, UK.
| | - Kate Fife
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Michael Hurst
- Health Economics and Outcomes Research Ltd, Cardiff, UK
| | - Meng Wang
- Bristol Myers Squibb Pharmaceuticals Ltd, Uxbridge, UK
| | | | - Sarah Nolasco
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Tim Eisen
- University of Cambridge, Cambridge, UK
| | | | - Jason Gordon
- Health Economics and Outcomes Research Ltd, Cardiff, UK
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Li W, Matakidou A, Ghazoui Z, Si H, Wildsmith S, Morsli N, Mann H, Wrona M, de Los Reyes M, Raja R, Barker C, Whiteley J, Zhang Q, Fayette J, Zandberg DP, Mesia R, Siu LL. Molecular biomarkers to identify patients (pts) who may benefit from durvalumab (D; anti-PD-L1) ± tremelimumab (T; anti-CTLA-4) in recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) from HAWK and CONDOR studies. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.6548] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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
6548 Background: Baseline tumor and germline biomarkers in R/M HNSCC were analyzed for predictive potential in pts benefitting from D or D+T. Methods: In HAWK (NCT02207530), 112 pts (PD-L1 tumor cells [TC]≥25%) received D (10 mg/kg Q2W for ≤12 m); in CONDOR (NCT02319044), 67 pts (PD-L1 TC < 25%) received D (10 mg/kg Q2W for ≤12 m), 133 pts received D+T (D 20 mg/kg Q4W, T 1 mg/kg Q4W for ≤12 m), and 67 pts received T (10 mg/kg Q4W [7 doses] then Q12W [2 doses] for ≤12 m) VENTANA PD-L1 (SP263) Assay determined PD-L1 status. Paired FFPE archival tumor and PBMC samples (as germline control) in the HAWK and CONDOR trials were evaluated by whole exome sequencing (WES). Tumor mutation burden (TMB) was number of somatic mutations/megabase. HLA class I types were obtained via WES of PBMCs (CONDOR only). HPV and neutrophil-to-lymphocyte ratio (NLR) were tested locally in CONDOR. Wilcoxon, log-rank tests, and COX-PH models were used. Pooled D & D+T data were analyzed unless noted. Results: 153 pts had paired evaluable FFPE tumor and PBMC samples (HAWK, n = 48; CONDOR, n = 105). TMB distributions were similar between studies ( P= 0.43). TMB correlated with smoking ( P= 0.02) but not HPV ( P= 0.24), NLR ( P= 0.66), or PD-L1 status ( P= 0.43). Overall, high TMB (≥upper tertile) trended with longer OS vs low TMB in all evaluable pts (N = 153; 9.0 vs 5.6 m; HR = 0.70; 95% CI = 0.48-1.01); P= 0.06). In HAWK, there was no association of TMB with OS. In CONDOR, pts (D and D+T arms) with high TMB vs low had significantly longer OS (N = 76; 16.3 vs 5.3 m; HR = 0.53; 95% CI = 0.31-0.92). TMB and OS association was further assessed by increasing TMB cutoffs. Improved HRs trended with higher cutoffs; cutoffs ≥upper quartile significantly linked to OS.TMB was not associated with PFS or ORR. Pts with low PD-L1 and low TMB had worse OS compared to pts with high PD-L1 or high TMB. Pts with high NLR (≥median) and low TMB had significantly worse OS than pts with low NLR and high TMB (HR = 2.63, P< 0.001). Analysis of germline HLA alleles revealed significantly poorer survival for carriers of the HLA-B*15:01 allele (9.4%) (HLA-B variant status did not affect TMB and OS association in CONDOR). Germline HLA heterozygosity did not impact OS. Pts with mutations in ATM (5%), a DNA damage repair gene, also trended with prolonged OS. Conclusions: TMB is a possible predictive biomarker of IO HNSCC therapy. Combined analysis of NLR and TMB may provide additional PD-L1 data in assessing pts most likely to have long-term benefit. Clinical trial information: NCT002207530, NCT02319044 .
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Affiliation(s)
| | | | | | - Han Si
- AstraZeneca, Gaithersburg, MD
| | | | | | - Helen Mann
- AstraZeneca, Macclesfield, United Kingdom
| | | | | | | | | | | | | | | | | | - Ricard Mesia
- Catalan Institute of Oncology, IDIBELL, Barcelona, Spain
| | - Lillian L. Siu
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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13
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Smith CG, Moser T, Mouliere F, Field-Rayner J, Eldridge M, Riediger AL, Chandrananda D, Heider K, Wan JCM, Warren AY, Morris J, Hudecova I, Cooper WN, Mitchell TJ, Gale D, Ruiz-Valdepenas A, Klatte T, Ursprung S, Sala E, Riddick ACP, Aho TF, Armitage JN, Perakis S, Pichler M, Seles M, Wcislo G, Welsh SJ, Matakidou A, Eisen T, Massie CE, Rosenfeld N, Heitzer E, Stewart GD. Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors. Genome Med 2020; 12:23. [PMID: 32111235 PMCID: PMC7048087 DOI: 10.1186/s13073-020-00723-8] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 02/10/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cell-free tumor-derived DNA (ctDNA) allows non-invasive monitoring of cancers, but its utility in renal cell cancer (RCC) has not been established. METHODS Here, a combination of untargeted and targeted sequencing methods, applied to two independent cohorts of patients (n = 91) with various renal tumor subtypes, were used to determine ctDNA content in plasma and urine. RESULTS Our data revealed lower plasma ctDNA levels in RCC relative to other cancers of similar size and stage, with untargeted detection in 27.5% of patients from both cohorts. A sensitive personalized approach, applied to plasma and urine from select patients (n = 22) improved detection to ~ 50%, including in patients with early-stage disease and even benign lesions. Detection in plasma, but not urine, was more frequent amongst patients with larger tumors and in those patients with venous tumor thrombus. With data from one extensively characterized patient, we observed that plasma and, for the first time, urine ctDNA may better represent tumor heterogeneity than a single tissue biopsy. Furthermore, in a subset of patients (n = 16), longitudinal sampling revealed that ctDNA can track disease course and may pre-empt radiological identification of minimal residual disease or disease progression on systemic therapy. Additional datasets will be required to validate these findings. CONCLUSIONS These data highlight RCC as a ctDNA-low malignancy. The biological reasons for this are yet to be determined. Nonetheless, our findings indicate potential clinical utility in the management of patients with renal tumors, provided improvement in isolation and detection approaches.
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Affiliation(s)
- Christopher G Smith
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Tina Moser
- Medical University of Graz, Diagnostic and Research Center for Molecular Biomedicine, Institute of Human Genetics, Graz, Austria
| | - Florent Mouliere
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081, HV, Amsterdam, The Netherlands
| | - Johanna Field-Rayner
- Cambridge Urology Translational Research and Clinical Trials Office, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Matthew Eldridge
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Anja L Riediger
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Dineika Chandrananda
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Katrin Heider
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Jonathan C M Wan
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Anne Y Warren
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
| | - James Morris
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Irena Hudecova
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Wendy N Cooper
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Thomas J Mitchell
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
- Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
- Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Davina Gale
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Andrea Ruiz-Valdepenas
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Tobias Klatte
- Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Urology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Stephan Ursprung
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Department of Radiology, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Evis Sala
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
- Department of Radiology, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Antony C P Riddick
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
| | - Tevita F Aho
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
| | - James N Armitage
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
| | - Samantha Perakis
- Medical University of Graz, Diagnostic and Research Center for Molecular Biomedicine, Institute of Human Genetics, Graz, Austria
| | - Martin Pichler
- Department of Internal Medicine Graz, Austria Division of Oncology, Medical University of Graz, Graz, Austria
| | - Maximilian Seles
- Department of Urology, Medical University of Graz, Graz, Austria
| | - Gabriel Wcislo
- Department of Oncology, Military Institute of Medicine, Warsaw, Poland
| | - Sarah J Welsh
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
| | - Athena Matakidou
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
- Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, CB2 0AA, UK
| | - Tim Eisen
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
- Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, CB2 0AA, UK
- Department of Oncology, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Charles E Massie
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Ellen Heitzer
- Medical University of Graz, Diagnostic and Research Center for Molecular Biomedicine, Institute of Human Genetics, Graz, Austria.
- Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria.
| | - Grant D Stewart
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK.
- Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK.
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Hollis RL, Meynert AM, Churchman M, Rye T, Roxburgh P, Stetson D, Matakidou A, Dougherty B, Barrett JC, March RE, Semple CA, Herrington CS, Gourley C. Abstract 749: Multi-layer molecular characterization of high grade serous ovarian carcinomas. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-749] [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: 11/16/2022]
Abstract
Abstract
High grade serous ovarian carcinomas (HGSOCs) are molecularly and clinically heterogeneous malignancies. Currently, molecular stratification of patient care is limited to tumors rendered homologous recombination deficient (HRD) by BRCA1/2 mutation (BRCAm). Here we explore the overlap, interplay and clinical impact of molecular subgrouping layers in a cohort of 362 FFPE HGSOCs. We overlay genomic subgrouping and tumor-infiltrating lymphocyte (TIL) burden with the three transcriptionally-defined subtypes (Immune, Angio and AngioImmune) we have previously reported as associated with survival and bevacizumab sensitivity.
The BRCAm group, the Immune subtype and those with high CD8+ TIL burden demonstrated prolonged overall survival (OS) as previously reported. The OS benefit of CD8+ TILs was abrogated in the context of gross residual disease following debulking [multivariable hazard ratio (mHR)=0.51 (0.34-0.78) vs 0.93 (0.76-1.52)]. BRCAwild-type patients demonstrating high expression of EMSY, encoding the BRCA2-binding protein EMSY, demonstrated prolonged OS [mHR=0.48 (0.29-0.79)]. BRCA2m and high-EMSY patients displayed greater chemosensitivity (first-line CA125-CR 94.4% and 81.3% vs 48.2%, P<0.001 and P=0.016; CA125-CR at relapse 58.3% and 50.0% vs 14.3%, P=0.002 and P=0.015).
There was significant enrichment and depletion of BRCAm and CCNE1-gain (CCNE1g) in the Immune subtype (28.9% vs 6.3%, P=0.001 and 9.1% vs 17.4%, P=0.050). The Angio subtype harboured far fewer CD8+ TILs compared to the Immune and AngioImmune subtypes (P<0.0001 for both). The frequency of RB1 loss and nonsense TP53 mutation was significantly higher in BRCAm versus BRCA wild-type cases (33.3% vs 13.5%, P=0.020 and 21.4% vs 10.3%, P=0.019).
The clinical impact of CCNE1g was modulated by transcriptomic subtype: in the Immune group, CCNE1g was associated with poor OS [mHR=3.32 (1.49-7.41)], while in the Angio group CCNE1g cases had favourable outcome [PFS mHR=0.26 (0.10-0.68)]. CD8+ TIL burden was not associated with outcome in CCNE1g cases. Missense TP53 mutation was associated with better outcome versus TP53-null mutations in BRCAm patients [PFS mHR=0.43 (0.14-0.82)], but not in the context of HR proficiency [mHR=0.90 (0.67-1.22)].
Integrated classification using the consensus of favourable and unfavourable HR-centric (HRD favourable, HR-proficient unfavourable) and transcriptomic (Immune favourable, Angio/AngioImmune unfavourable) subgrouping yielded three groups with distinct OS [favourable vs unfavourable mHR=0.49 (0.34-0.74); favourable vs no-consensus mHR=0.64 (0.42-0.98); unfavourable vs no-consensus mHR=1.31 (1.00-1.70)].
Together, these data paint a more granular picture of the clinical impact of HGSOC subgroups and demonstrate novel candidate interactions between subgrouping layers. The poorest outcome groups represent those with most to gain from trials of novel treatment regimens.
Citation Format: Robert L. Hollis, Alison M. Meynert, Michael Churchman, Tzyvia Rye, Patricia Roxburgh, Daniel Stetson, Athena Matakidou, Brian Dougherty, J. Carl Barrett, Ruth E. March, Colin A. Semple, C. Simon Herrington, Charlie Gourley. Multi-layer molecular characterization of high grade serous ovarian carcinomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 749.
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Affiliation(s)
- Robert L. Hollis
- 1Nicola Murray Centre for Ovarian Cancer Research, Edinburgh CRUK Centre, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Alison M. Meynert
- 2MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael Churchman
- 1Nicola Murray Centre for Ovarian Cancer Research, Edinburgh CRUK Centre, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Tzyvia Rye
- 1Nicola Murray Centre for Ovarian Cancer Research, Edinburgh CRUK Centre, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Patricia Roxburgh
- 3Cancer Research UK Beatson Institute and The Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Daniel Stetson
- 4Translational Sciences, Oncology, IMED Biotech Unit, AstraZeneca, Boston, MA
| | - Athena Matakidou
- 5Precision Medicine and Genomics, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Brian Dougherty
- 4Translational Sciences, Oncology, IMED Biotech Unit, AstraZeneca, Boston, MA
| | - J. Carl Barrett
- 4Translational Sciences, Oncology, IMED Biotech Unit, AstraZeneca, Boston, MA
| | - Ruth E. March
- 5Precision Medicine and Genomics, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Colin A. Semple
- 2MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - C. Simon Herrington
- 1Nicola Murray Centre for Ovarian Cancer Research, Edinburgh CRUK Centre, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Charlie Gourley
- 1Nicola Murray Centre for Ovarian Cancer Research, Edinburgh CRUK Centre, MRC IGMM, University of Edinburgh, Edinburgh, United Kingdom
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Lightowlers SV, Greef B, Eisen T, Matakidou A, Fife K, Cameron EA. Treatable causes of diarrhoea in patients on tyrosine kinase inhibitors for metastatic renal cell carcinoma. Ann Oncol 2019; 30:150-151. [PMID: 30358823 DOI: 10.1093/annonc/mdy469] [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: 11/14/2022] Open
Affiliation(s)
- S V Lightowlers
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge
| | - B Greef
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge
| | - T Eisen
- Department of Oncology, University of Cambridge, Cambridge; AstraZeneca, Cambridge
| | - A Matakidou
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge; AstraZeneca, Cambridge
| | - K Fife
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge.
| | - E A Cameron
- Department of Gastroenterology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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16
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Doherty GJ, Lynskey D, Matakidou A, Fife K, Eisen T. Dose escalation of axitinib on disease progression as a strategy in the treatment of metastatic renal cell carcinoma. ESMO Open 2018; 3:e000445. [PMID: 30498581 PMCID: PMC6241974 DOI: 10.1136/esmoopen-2018-000445] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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: 09/10/2018] [Revised: 10/08/2018] [Accepted: 10/09/2018] [Indexed: 02/01/2023] Open
Abstract
Introduction The AXIS trial established axitinib as a standard of care treatment for patients with metastatic renal cell carcinoma (mRCC) after failure of a prior tyrosine kinase inhibitor. Axitinib dosing begins at 5 mg twice daily, with escalation of doses to 7 and 10 mg after consecutive 2-week intervals if tolerated (as per the drug label). Given clinical concerns about drug-related toxicity, we have used a pragmatic strategy where dose escalations were made only after disease progression or where rapid responses were clinically required. Methods We performed a retrospective review of electronic health records and radiology of all patients with mRCC treated with axitinib for >2 weeks at Addenbrooke’s Hospital, Cambridge, UK, over a 37 -month period to determine the clinical and radiological effects of dose escalations made according to the above strategy. Results 42 patients fitting these criteria were identified, 29 having ≥1 dose escalation event (DEE). 60 DEEs were identified (median of two per patient), and the objective radiological consequences of 53 DEEs could be evaluated. The disease control rate (partial response or stable disease) after the first DEE instituted for disease progression was similar to that after the second DEE (68.8% vs 70%). 56.6 % of all DEEs and 63.6 % of DEEs made as a result of disease progression resulted in disease control. The median OS from the commencement of axitinib for all dose-escalated patients was 19.9 months, and 16.5 months for the entire cohort. The mean dose (for all patients) at 90 days after starting axitinib was 5.92 mg. Conclusion These data suggest that dose escalation of axitinib after disease progression may be an effective dosing strategy for patients with mRCC, and this may be a preferred option in patients in whom there are particular concerns about drug-related toxicity, quality of life optimisation or healthcare-associated costs.
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Affiliation(s)
- Gary Joseph Doherty
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Deirdre Lynskey
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Athena Matakidou
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Kate Fife
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Tim Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Espana-Agusti J, Warren A, Chew SK, Adams DJ, Matakidou A. Loss of PBRM1 rescues VHL dependent replication stress to promote renal carcinogenesis. Nat Commun 2017; 8:2026. [PMID: 29229903 PMCID: PMC5725450 DOI: 10.1038/s41467-017-02245-1] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 11/15/2017] [Indexed: 12/16/2022] Open
Abstract
Inactivation of the VHL (Von Hippel Lindau) tumour suppressor has long been recognised as necessary for the pathogenesis of clear cell renal cancer (ccRCC); however, the molecular mechanisms underlying transformation and the requirement for additional genetic hits remain unclear. Here, we show that loss of VHL alone results in DNA replication stress and damage accumulation, effects that constrain cellular growth and transformation. By contrast, concomitant loss of the chromatin remodelling factor PBRM1 (mutated in 40% of ccRCC) rescues VHL-induced replication stress, maintaining cellular fitness and allowing proliferation. In line with these data we demonstrate that combined deletion of Vhl and Pbrm1 in the mouse kidney is sufficient for the development of fully-penetrant, multifocal carcinomas, closely mimicking human ccRCC. Our results illustrate how VHL and PBRM1 co-operate to drive renal transformation and uncover replication stress as an underlying vulnerability of all VHL mutated renal cancers that could be therapeutically exploited.
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Affiliation(s)
- Judit Espana-Agusti
- Department of Oncology, University of Cambridge, CRUK Cambridge institute, Cambridge, CB2 0RE, UK.,MedImmune, AstraZeneca, Cambridge, CB21 6GH, UK
| | - Anne Warren
- Department of Pathology, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Su Kit Chew
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK.,Translational Cancer Therapeutics Laboratory UCL Cancer Institute, London, WC1E 6DD, UK
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
| | - Athena Matakidou
- Department of Oncology, University of Cambridge, CRUK Cambridge institute, Cambridge, CB2 0RE, UK. .,Centre for Genomics Research, IMED Biotech Unit, AstraZeneca, Melbourn, SG8 6HB, UK.
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18
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Welsh S, Fife K, Matakidou A, Mullin J, Machin A, Qian W, Ingleson V, Dalchau KM, Whittaker P, Warren A, Priest AN, Zaccagna F, Barrett T, Gallagher FA, Riddick A, Armitage JN, Eisen TGQ. A phase II clinical study evaluating the efficacy and safety of neoadjuvant and adjuvant sunitinib in previously untreated patients with metastatic renal cell carcinoma (mRCC)(NeoSun). J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.e16087] [Citation(s) in RCA: 2] [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
e16087 Background: Sunitinib improves clinical outcomes in patients (pts) with mRCC. The single arm phase II NeoSun trial was designed to investigate its added value to nephrectomy, and to explore translational biological and imaging biomarkers. Methods: Pts with mRCC, scheduled for nephrectomy, no prior systemic therapy were recruited to receive 50mg OD sunitinib for 12 days, then post-surgery on a 4 week-on, 2 week-off, repeating 6 week cycle until disease progression. Diffusion-weighted, BOLD and dynamic contrast enhanced MR imaging (DW-MRI, DCE-MRI) and research blood sample collection were performed at baseline and end of 12 days. CT Imaging was performed at baseline, pre- and post-surgery, and then every 2 cycles. The primary endpoint was objective response rate (RECIST). Secondary endpoints included changes in diffusion DW-MRI, DCE- MRI of the tumour following 12 days suntinib, overall survival (OS), progression-free survival (PFS), response duration, surgical morbidity/mortality, and toxicity. Results: 14 pts received pre-surgery sunitinib, 71% (10/14) took the planned 12 doses. All 14 underwent total nephrectomy, and 13 recommenced sunitinib post-operatively. The mean number of post-surgery cycles was 11 (range 2 – 22). 58.3% (7/12) of pts achieved confirmed response (95% CI: 27.7 - 84.8%).91.7% (11/12) achieved objective clinical benefit (95% CI: 61.5 - 99.8%). Median OS is 33.7m and median PFS is 15.7m. Amongst those achieving PR/CR, median response duration is 8.7m. No unexpected surgical or sunitinib-related toxicities or complications were observed and the mean number of days from surgery to hospital discharge was 5.9 (range 3.0 – 17.0).There was a trend forOS to be better in pts with high baseline plasma VEGF-A (p = 0.06) or VEGF-C (p = 0.02) expression. A larger % tumour volume reduction after 12 days treatment is correlated with a smaller baseline % necrosis (coefficient = -0.51, p = 0.03). Conclusions: Sunitinib is effective and safe when given before and after nephrectomy to previously untreated pts with mRCC. Neoadjuvant studies such as NeoSun can safely explore translational biological and imaging endpoints. Clinical trial information: 2005-004502-82.
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Affiliation(s)
- Sarah Welsh
- Cambridge University Hospitals, Cambridge, United Kingdom
| | - Kate Fife
- NIHR Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | | | - Jean Mullin
- Cancer Research UK Cambridge Institute, Cambridge, United Kingdom
| | - Andrea Machin
- Cambridge Cancer Trials Centre, Cambridge, United Kingdom
| | - Wendi Qian
- Cambridge Cancer Trials Centre, Cambridge, United Kingdom
| | | | | | | | - Anne Warren
- Cambridge University Hospitals, Cambridge, United Kingdom
| | - Andrew N Priest
- NIHR Cambridge Biomedical Research Centre, Cambridge, United Kingdom
| | - Fulvio Zaccagna
- University of Cambridge, Department of Radiology, Cambridge, United Kingdom
| | - Tristan Barrett
- University of Cambridge, Department of Radiology, Cambridge, United Kingdom
| | | | - Antony Riddick
- Department of Urology, Addenbrooke's Hospital, Cambridge, United Kingdom
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Doherty G, Lynskey D, Matakidou A, Fife K, Eisen T. A novel strategy for axitinib dosing in the treatment of metastatic renal cell carcinoma. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.6_suppl.464] [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
464 Background: The AXIS trial established axitinib as an effective second line treatment for patients with metastatic renal cell carcinoma (mRCC). The dosing schedule of axitinib in this trial begins at 5mg twice daily, with escalation of individual doses to 7mg and 10mg after consecutive 2 week intervals if tolerated. We observed significant drug-related toxicity using this dosing strategy, particularly after dose escalations, while clinical responses were often observed at the starting dose. We therefore switched to a pragmatic strategy where dose escalations were made only after disease progression or where a rapid response was deemed clinically pertinent. Methods: We performed a retrospective review of electronic health records and radiology of all patients with mRCC treated with axitinib for greater than 2 weeks at Addenbrooke’s Hospital, Cambridge, UK (a tertiary referral center), over a 40 month period to determine the clinical and radiological effects of dose escalations made according to the above strategy. Results: 42 patients fitting these criteria were identified; of these, 29 had at least one dose escalation event (DEE). A total of 58 DEEs were identified, with a median of 2 per patient, and the objective radiological consequences of 50 of these could be determined. The disease control rate (partial response or stable disease) after the first DEE instituted for disease progression was similar to that after the second DEE (68.8% versus 70%). 56% of all DEEs, and 62.5% of DEEs made as a result of disease progression, resulted in disease control. The median overall survival from the commencement of axitinib for all dose-escalated patients was 19.9 months, and 6.7 months for non-dose-escalated patients. The median survival for dose-escalated patients with a higher than median time on a prior tyrosine kinase inhibitor has not been reached at the time of data cut-off. The mean dose (for all patients) at 90 days after starting axitinib was 5.92 mg. Conclusions: These data suggest that dose escalation of axitinib after disease progression may be an effective dosing strategy for patients with mRCC, and may reduce toxicity through lower drug exposure. Our survival data compares favourably to the AXIS trial in a real practice population.
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Affiliation(s)
- Gary Doherty
- University of Cambridge, Cambridge, United Kingdom
| | - Deirdre Lynskey
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | | | - Kate Fife
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Tim Eisen
- University of Cambridge, Cambridge, United Kingdom
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Johnson N, De Ieso P, Migliorini G, Orr N, Broderick P, Catovsky D, Matakidou A, Eisen T, Goldsmith C, Dudbridge F, Peto J, dos-Santos-Silva I, Ashworth A, Ross G, Houlston RS, Fletcher O. Cytochrome P450 Allele CYP3A7*1C Associates with Adverse Outcomes in Chronic Lymphocytic Leukemia, Breast, and Lung Cancer. Cancer Res 2016; 76:1485-1493. [PMID: 26964624 PMCID: PMC4795533 DOI: 10.1158/0008-5472.can-15-1410] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [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] [Indexed: 12/11/2022]
Abstract
CYP3A enzymes metabolize endogenous hormones and chemotherapeutic agents used to treat cancer, thereby potentially affecting drug effectiveness. Here, we refined the genetic basis underlying the functional effects of a CYP3A haplotype on urinary estrone glucuronide (E1G) levels and tested for an association between CYP3A genotype and outcome in patients with chronic lymphocytic leukemia (CLL), breast, or lung cancers. The most significantly associated SNP was rs45446698, an SNP that tags the CYP3A7*1C allele; this SNP was associated with a 54% decrease in urinary E1G levels. Genotyping this SNP in 1,008 breast cancer, 1,128 lung cancer, and 347 CLL patients, we found that rs45446698 was associated with breast cancer mortality (HR, 1.74; P = 0.03), all-cause mortality in lung cancer patients (HR, 1.43; P = 0.009), and CLL progression (HR, 1.62; P = 0.03). We also found borderline evidence of a statistical interaction between the CYP3A7*1C allele, treatment of patients with a cytotoxic agent that is a CYP3A substrate, and clinical outcome (Pinteraction = 0.06). The CYP3A7*1C allele, which results in adult expression of the fetal CYP3A7 gene, is likely to be the functional allele influencing levels of circulating endogenous sex hormones and outcome in these various malignancies. Further studies confirming these associations and determining the mechanism by which CYP3A7*1C influences outcome are required. One possibility is that standard chemotherapy regimens that include CYP3A substrates may not be optimal for the approximately 8% of cancer patients who are CYP3A7*1C carriers.
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Affiliation(s)
- Nichola Johnson
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | | | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Nick Orr
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Daniel Catovsky
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Athena Matakidou
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, UK
| | - Timothy Eisen
- Department of Oncology, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK
- Addenbrooke’s Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Christy Goldsmith
- Imperial College, London, UK and The Harley Street Clinic, London, UK
| | - Frank Dudbridge
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Julian Peto
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Isabel dos-Santos-Silva
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Alan Ashworth
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Gillian Ross
- The Royal Marsden NHS Foundation Trust, Fulham Road, London UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Olivia Fletcher
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
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Gerety EL, Lawrence EM, Wason J, Yan H, Hilborne S, Buscombe J, Cheow HK, Shaw AS, Bird N, Fife K, Heard S, Lomas DJ, Matakidou A, Soloviev D, Eisen T, Gallagher FA. Prospective study evaluating the relative sensitivity of 18F-NaF PET/CT for detecting skeletal metastases from renal cell carcinoma in comparison to multidetector CT and 99mTc-MDP bone scintigraphy, using an adaptive trial design. Ann Oncol 2015; 26:2113-8. [PMID: 26202597 PMCID: PMC4576907 DOI: 10.1093/annonc/mdv289] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2015] [Revised: 06/15/2015] [Accepted: 07/01/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The detection of occult bone metastases is a key factor in determining the management of patients with renal cell carcinoma (RCC), especially when curative surgery is considered. This prospective study assessed the sensitivity of (18)F-labelled sodium fluoride in conjunction with positron emission tomography/computed tomography ((18)F-NaF PET/CT) for detecting RCC bone metastases, compared with conventional imaging by bone scintigraphy or CT. PATIENTS AND METHODS An adaptive two-stage trial design was utilized, which was stopped after the first stage due to statistical efficacy. Ten patients with stage IV RCC and bone metastases were imaged with (18)F-NaF PET/CT and (99m)Tc-labelled methylene diphosphonate ((99m)Tc-MDP) bone scintigraphy including pelvic single photon emission computed tomography (SPECT). Images were reported independently by experienced radiologists and nuclear medicine physicians using a 5-point scoring system. RESULTS Seventy-seven lesions were diagnosed as malignant: 100% were identified by (18)F-NaF PET/CT, 46% by CT and 29% by bone scintigraphy/SPECT. Standard-of-care imaging with CT and bone scintigraphy identified 65% of the metastases reported by (18)F-NaF PET/CT. On an individual patient basis, (18)F-NaF PET/CT detected more RCC metastases than (99m)Tc-MDP bone scintigraphy/SPECT or CT alone (P = 0.007). The metabolic volumes, mean and maximum standardized uptake values (SUV mean and SUV max) of the malignant lesions were significantly greater than those of the benign lesions (P < 0.001). CONCLUSIONS (18)F-NaF PET/CT is significantly more sensitive at detecting RCC skeletal metastases than conventional bone scintigraphy or CT. The detection of occult bone metastases could greatly alter patient management, particularly in the context when standard-of-care imaging is negative for skeletal metastases.
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Affiliation(s)
- E L Gerety
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - E M Lawrence
- Department of Radiology, University of Cambridge, Cambridge
| | - J Wason
- MRC Biostatistics Unit Hub for Trials Methodology, Cambridge
| | - H Yan
- Department of Radiology, University of Cambridge, Cambridge
| | - S Hilborne
- Department of Radiology, University of Cambridge, Cambridge
| | - J Buscombe
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - H K Cheow
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - A S Shaw
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - N Bird
- East Anglian Regional Radiation Protection Service, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - K Fife
- Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - S Heard
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge
| | - D J Lomas
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge Department of Radiology, University of Cambridge, Cambridge
| | - A Matakidou
- Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge
| | - D Soloviev
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge
| | - T Eisen
- Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge Department of Oncology, University of Cambridge, Cambridge, UK
| | - F A Gallagher
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust and Cambridge University Health Partners, Cambridge Department of Radiology, University of Cambridge, Cambridge
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Galvan A, Colombo F, Frullanti E, Dassano A, Noci S, Wang Y, Eisen T, Matakidou A, Tomasello L, Vezzalini M, Sorio C, Dugo M, Ambrogi F, Iacobucci I, Martinelli G, Incarbone M, Alloisio M, Nosotti M, Tosi D, Santambrogio L, Pelosi G, Pastorino U, Houlston RS, Dragani TA. Germline polymorphisms and survival of lung adenocarcinoma patients: a genome-wide study in two European patient series. Int J Cancer 2015; 136:E262-71. [PMID: 25196286 DOI: 10.1002/ijc.29195] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [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: 02/28/2014] [Revised: 08/04/2014] [Accepted: 08/05/2014] [Indexed: 11/09/2022]
Abstract
In lung cancer, the survival of patients with the same clinical stage varies widely for unknown reasons. In this two-phase study, we examined the hypothesis that germline variations influence the survival of patients with lung adenocarcinoma. First, we analyzed existing genotype and clinical data from 289 UK-resident patients with lung adenocarcinoma, identifying 86 single nucleotide polymorphisms (SNPs) that associated with survival (p < 0.01). We then genotyped these candidate SNPs in a validation series of 748 patients from Italy that resulted genetically compatible with the UK series based on principal component analysis. In a Cox proportional hazard model adjusted for age, sex and clinical stage, four SNPs were confirmed on the basis of their having a hazard ratio (HR) indicating the same direction of effect in the two series and p < 0.05. The strongest association was provided by rs2107561, an intronic SNP of PTPRG, protein tyrosine phosphatase, receptor type, G; the C allele was associated with poorer survival in both patient series (pooled analysis loge HR = 0.31; 95% CI: 0.15-0.46, p = 8.5 × 10(-5) ). PTPRG mRNA levels in 43 samples of lung adenocarcinoma were 40% of those observed in noninvolved lung tissue from the same patients. PTPRG overexpression significantly inhibited the clonogenicity of A549 lung carcinoma cells and the anchorage-independent growth of the NCI-H460 large cell lung cancer line. These four germline variants represent promising candidates that, with further study, may help predict clinical outcome. In addition, the PTPRG locus may have a role in tumor progression.
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De Velasco G, Ainsworth N, Holyoake D, Fife K, Matakidou A, Eisen T. Prognostic Significance of Active Surveillance (As) in Metastatic Renal Cell Carcinoma (Mrcc). Ann Oncol 2014. [DOI: 10.1093/annonc/mdu337.41] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Wang Y, McKay JD, Rafnar T, Wang Z, Timofeeva M, Broderick P, Zong X, Laplana M, Wei Y, Han Y, Lloyd A, Delahaye-Sourdeix M, Chubb D, Gaborieau V, Wheeler W, Chatterjee N, Thorleifsson G, Sulem P, Liu G, Kaaks R, Henrion M, Kinnersley B, Vallée M, LeCalvez-Kelm F, Stevens VL, Gapstur SM, Chen WV, Zaridze D, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Krokan HE, Gabrielsen ME, Skorpen F, Vatten L, Njølstad I, Chen C, Goodman G, Benhamou S, Vooder T, Valk K, Nelis M, Metspalu A, Lener M, Lubiński J, Johansson M, Vineis P, Agudo A, Clavel-Chapelon F, Bueno-de-Mesquita H, Trichopoulos D, Khaw KT, Johansson M, Weiderpass E, Tjønneland A, Riboli E, Lathrop M, Scelo G, Albanes D, Caporaso NE, Ye Y, Gu J, Wu X, Spitz MR, Dienemann H, Rosenberger A, Su L, Matakidou A, Eisen T, Stefansson K, Risch A, Chanock SJ, Christiani DC, Hung RJ, Brennan P, Landi MT, Houlston RS, Amos CI. Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet 2014; 46:736-41. [PMID: 24880342 PMCID: PMC4074058 DOI: 10.1038/ng.3002] [Citation(s) in RCA: 311] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 05/08/2014] [Indexed: 12/16/2022]
Abstract
We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10(-20)) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10(-13)). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10(-10)) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.
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Affiliation(s)
- Yufei Wang
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - James D. McKay
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Thorunn Rafnar
- deCODE genetics/Amgen, Sturlugata 8, 101 Reykjavik, Iceland
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Maria Timofeeva
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Xuchen Zong
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital. Toronto, Canada
| | - Marina Laplana
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Yongyue Wei
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, 617-432-1641, USA
| | - Younghun Han
- Center for Genomic Medicine Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, 46 Centerra Parkway, Suite 330, Lebanon, NH 03766
| | - Amy Lloyd
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | | | - Daniel Chubb
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Valerie Gaborieau
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - William Wheeler
- Information Management Services, Inc., Rockville, MD 20852, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | | | - Patrick Sulem
- deCODE genetics/Amgen, Sturlugata 8, 101 Reykjavik, Iceland
| | - Geoffrey Liu
- Princess Margaret Hospital, University Health Network, Toronto, Canada
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Marc Henrion
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Maxime Vallée
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Victoria L. Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30301, USA
| | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30301, USA
| | - Wei V. Chen
- Department of Genetics, U.T. M.D. Anderson Cancer Center, Houston, TX 77030
| | - David Zaridze
- Institute of Carcinogenesis, Russian N.N. Blokhin Cancer Research Centre, 115478 Moscow, Russia
| | | | - Jolanta Lissowska
- The M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02781, Poland
| | - Peter Rudnai
- National Institute of Environmental Health, Budapest 1097, Hungary
| | - Eleonora Fabianova
- Regional Authority of Public Health, Banska’ Bystrica 97556, Slovak Republic
| | - Dana Mates
- National Institute of Public Health, Bucharest 050463, Romania
| | - Vladimir Bencko
- 1st Faculty of Medicine, Institute of Hygiene and Epidemiology, Charles University in Prague, 12800 Prague 2, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno 65653, Czech Republic
| | | | - Hans E. Krokan
- Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Maiken Elvestad Gabrielsen
- Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Frank Skorpen
- Department of Laboratory Medicine, Children’s and Women’s Health, Faculty of Medicine
| | - Lars Vatten
- Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7489, Norway
| | - Inger Njølstad
- Department of Community Medicine, University of Tromso, Tromso 9037, Norway
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Gary Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - Tonu Vooder
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Kristjan Valk
- Competence Centre on Reproductive Medicine and Biology, 50410 Tartu, Estonia
| | - Mari Nelis
- Estonian Genome Center, Institute of Molecular and Cell Biology, Tartu 51010, Estonia
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Andres Metspalu
- Estonian Genome Center, Institute of Molecular and Cell Biology, Tartu 51010, Estonia
| | - Marcin Lener
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- HuGeF Foundation, Torino, Italy
| | - Antonio Agudo
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Francoise Clavel-Chapelon
- INSERM, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health team, F-94805, Villejuif, France
- Université Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
| | - H.Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
| | - Dimitrios Trichopoulos
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
- Bureau of Epidemiologic Research, Academy of Athens, 23 Alexandroupoleos Street, Athens, GR-115 27, Greece
- Hellenic Health Foundation, 13 Kaisareias Street, Athens, GR-115 27, Greece
| | - Kay-Tee Khaw
- University of Cambridge School of Clinical Medicine, Clinical Gerontology Unit Box 251, Addenbrooke’s Hospital, Cambridge CB2 2QQ, UK
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå universitet, SE-901 87 Umeå, Sverige, Sweden
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Samfundet Folkhälsan, Helsinki, Finland
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100 Copenhagen Ø, Denmark
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Mark Lathrop
- Centre d’Etude du Polymorphisme Humain (CEPH), Paris 75010, France
| | - Ghislaine Scelo
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Yuanqing Ye
- Department of Epidemiology, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Jian Gu
- Department of Epidemiology, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Xifeng Wu
- Department of Epidemiology, U.T. M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Margaret R. Spitz
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hendrik Dienemann
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Thoracic Surgery, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Albert Rosenberger
- Department of Genetic Epidemiology, University of Göttingen, Göttingen, Germany
| | - Li Su
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, 617-432-1641, USA
| | - Athena Matakidou
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Timothy Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Addenbrooke’s Hospital, Cambridge Biomedical Campus, Hill’s Road Cambridge CB2 0QQ, UK
| | | | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - David C. Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, 617-432-1641, USA
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital. Toronto, Canada
| | - Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer institute, NIH, DHHS, Bethesda, MD 20892-9769, USA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Christopher I. Amos
- Center for Genomic Medicine Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, 46 Centerra Parkway, Suite 330, Lebanon, NH 03766
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Tookman L, Rashid S, Matakidou A, Phillips M, Wilson P, Ansell W, Jamal-Hanjani M, Chowdhury S, Harland S, Sarwar N, Oliver T, Powles T, Shamash J. Carboplatin AUC 10 for IGCCCG good prognosis metastatic seminoma. Acta Oncol 2013; 52:987-93. [PMID: 22943385 DOI: 10.3109/0284186x.2012.714078] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Metastatic seminoma is a highly curable disease. Standard treatment comprises of combination chemotherapy. The short- and long-term toxicities of this treatment are increasingly recognised and the possibility of over treatment in such a curable disease should be considered. We have therefore assessed the use of single agent carboplatin at a dose of AUC 10 in patients with good prognosis metastatic seminoma. MATERIALS AND METHODS Patients with good prognosis metastatic seminoma treated with carboplatin (AUC 10) were identified at our institution and affiliated institutions. Treatment was three weekly for a total of three or four cycles. Outcome and toxicities were analysed. RESULTS With a median follow-up of 36 months, 61 patients in total were treated with carboplatin AUC 10, all good prognosis by the IGCCCG criteria. Forty-eight percent had stage IIA/IIB disease and 52% had greater than stage IIB disease. Thirty-one patients (51%) had a complete response following treatment. Three-year survival was 96.3% with a three-year progression free survival of 93.2%. The main treatment toxicity was haematological with 46% having grade 3, 24% having grade 4 neutropenia and 54% experiencing grade 3/4 thrombocytopenia. There were no treatment related deaths. CONCLUSION Single agent carboplatin at a dose of AUC 10 is an effective treatment for good prognosis metastatic seminoma. The outcome compares favourably to previously published outcomes of combination chemotherapy. Although haematological toxicity is a concern, single agent carboplatin treatment for good prognosis metastatic seminoma could be considered a treatment option and is associated with less toxicity than combination regimens currently used.
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Affiliation(s)
- Laura Tookman
- Department of Medical Oncology, St Bartholomew's Hospital, West Smithfield, London, UK
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Wong HH, Siegler C, Grainger S, Zaki KA, Matakidou A, Eisen T, Fife K. Improving Clinical Trial Recruitment: Experience of a Tertiary Renal Oncology Centre. Oncology 2013; 85:297-8. [DOI: 10.1159/000355688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2013] [Accepted: 08/30/2013] [Indexed: 11/19/2022]
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Wang Y, Broderick P, Matakidou A, Vijayakrishnan J, Eisen T, Houlston RS. Variation in TP63 is associated with lung adenocarcinoma in the UK population. Cancer Epidemiol Biomarkers Prev 2011; 20:1453-62. [PMID: 21610222 DOI: 10.1158/1055-9965.epi-11-0042] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Variation at TP63 has recently been shown to be associated with lung adenocarcinoma in the Asian population. METHODS To investigate how this finding translates to the European population we compared the genotypes of SNPs annotating the TP63 locus at 3q28 in 4,462 lung cancer patients, including 911 with adenocarcinoma, and 8,235 controls from the United Kingdom. RESULTS A statistically significant association between adenocarcinoma risk and SNP genotype was shown: rs10937405, OR = 1.21, P = 1.82 × 10(-4); rs17429138, OR = 1.23, P = 7.49 × 10(-5); and rs4396880, OR = 1.21, P = 2.03 × 10(-4). Haplotype analysis was consistent with a single TP63 risk locus defined by SNPs rs10937405, rs17429138, and rs4396880. While no association between SNPs and small cell lung cancer was shown, the rs10937405 and rs439680 associations were significant for squamous cancer (respective P-values, 0.0022 and 0.02). CONCLUSIONS These findings show TP63 variation is a risk factor for the development of lung adenocarcinoma in the UK population. Furthermore, they provide additional insight into the subtype-specificity of the 3q28 lung cancer association. IMPACT Our data confirm the association of 3q28 with lung adenocarcinoma and that this association is not confined to the Asian population. Elucidating the functional basis of this association will be contingent on future fine mapping of the TP63 loci.
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Affiliation(s)
- Yufei Wang
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, UK
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Wang Y, Broderick P, Matakidou A, Eisen T, Houlston RS. Chromosome 15q25 (CHRNA3-CHRNA5) variation impacts indirectly on lung cancer risk. PLoS One 2011; 6:e19085. [PMID: 21559498 PMCID: PMC3084737 DOI: 10.1371/journal.pone.0019085] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2010] [Accepted: 03/28/2011] [Indexed: 11/30/2022] Open
Abstract
Genetic variants at the 15q25 CHRNA5-CHRNA3 locus have been shown to influence lung cancer risk however there is controversy as to whether variants have a direct carcinogenic effect on lung cancer risk or impact indirectly through smoking behavior. We have performed a detailed analysis of the 15q25 risk variants rs12914385 and rs8042374 with smoking behavior and lung cancer risk in 4,343 lung cancer cases and 1,479 controls from the Genetic Lung Cancer Predisposition Study (GELCAPS). A strong association between rs12914385 and rs8042374, and lung cancer risk was shown, odds ratios (OR) were 1.44, (95% confidence interval (CI): 1.29–1.62, P = 3.69×10−10) and 1.35 (95% CI: 1.18–1.55, P = 9.99×10−6) respectively. Each copy of risk alleles at rs12914385 and rs8042374 was associated with increased cigarette consumption of 1.0 and 0.9 cigarettes per day (CPD) (P = 5.18×10−5 and P = 5.65×10−3). These genetically determined modest differences in smoking behavior can be shown to be sufficient to account for the 15q25 association with lung cancer risk. To further verify the indirect effect of 15q25 on the risk, we restricted our analysis of lung cancer risk to never-smokers and conducted a meta-analysis of previously published studies of lung cancer risk in never-smokers. Never-smoker studies published in English were ascertained from PubMed stipulating - lung cancer, risk, genome-wide association, candidate genes. Our study and five previously published studies provided data on 2,405 never-smoker lung cancer cases and 7,622 controls. In the pooled analysis no association has been found between the 15q25 variation and lung cancer risk (OR = 1.09, 95% CI: 0.94–1.28). This study affirms the 15q25 association with smoking and is consistent with an indirect link between genotype and lung cancer risk.
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Affiliation(s)
- Yufei Wang
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Peter Broderick
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Athena Matakidou
- Department of Oncology, Cambridge University, Cambridge, United Kingdom
| | - Timothy Eisen
- Department of Oncology, Cambridge University, Cambridge, United Kingdom
| | - Richard S. Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
- * E-mail:
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Matakidou A, Mutsvangwa K, Ansell W, Lim L, Powles T, Oliver R, Shamash J. Single-agent carboplatin AUC10 for metastatic seminoma with IGCCCG good prognosis disease; a feasibility study of the Orchid Clinical Trials Group. Ann Oncol 2010; 21:1730-1731. [DOI: 10.1093/annonc/mdq300] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Wang Y, Broderick P, Matakidou A, Eisen T, Houlston RS. Role of 5p15.33 (TERT-CLPTM1L), 6p21.33 and 15q25.1 (CHRNA5-CHRNA3) variation and lung cancer risk in never-smokers. Carcinogenesis 2009; 31:234-8. [PMID: 19955392 DOI: 10.1093/carcin/bgp287] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Genome-wide association studies have provided evidence that common variation at 5p15.33 (TERT-CLPTM1L), 6p21.33 and 15q25.1 (CHRNA5-CHRNA3) influences lung cancer risk. To examine if variation at any of these loci influences the risk of lung cancer in never-smokers, we compared 5p15.33-TERT (rs2736100), 5p15.33-CLPTM1L (rs4975616), 6p21.33-BAT3 (rs3117582), 15q25.1-CHRNA3 (rs8042374) and 15q25.1-CHRNA3 (rs12914385) genotypes in a series of 239 never-smoker lung cancer cases and 553 never-smoker controls. A statistically significant association between lung cancer risk and 5p15.33 genotypes was found: rs2736100 (odds ratio = 0.78, 95% confidence interval: 0.63-0.97; P = 0.02), rs4975616 (odds ratio = 0.69, 95% confidence interval: 0.55-0.85; P = 7.95 x 10(-4)), primarily for adenocarcinoma. There was no evidence of association between 6p21.33 or 15q25.1 variation and risk of lung cancer. This analysis provides evidence that TERT-CLPTM1L variants may influence the risk of lung cancer outside the context of tobacco smoking.
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Affiliation(s)
- Yufei Wang
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, UK
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Matakidou A, Mutsvangwa K, Ansell W, Powles T, Oliver T, Shamash J. Single-agent Carboplatin AUC10 for Metastatic Seminoma with IGCCCG Good Prognosis Disease; a Feasibility Study of the Orchid Clinical Trials Group. Clin Oncol (R Coll Radiol) 2009. [DOI: 10.1016/j.clon.2009.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Broderick P, Wang Y, Vijayakrishnan J, Matakidou A, Spitz MR, Eisen T, Amos CI, Houlston RS. Deciphering the impact of common genetic variation on lung cancer risk: a genome-wide association study. Cancer Res 2009; 69:6633-41. [PMID: 19654303 DOI: 10.1158/0008-5472.can-09-0680] [Citation(s) in RCA: 182] [Impact Index Per Article: 12.1] [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]
Abstract
To explore the impact of common variation on the risk of developing lung cancer, we conducted a two-phase genome-wide association (GWA) study. In phase 1, we compared the genotypes of 511,919 tagging single nucleotide polymorphisms (SNP) in 1,952 cases and 1,438 controls; in phase 2, 30,568 SNPs were genotyped in 2,465 cases and 3,005 controls. SNP selection was based on best supported P values from phase 1 and two other GWA studies of lung cancer. In the combined analysis of phases 1 and 2, the strongest associations identified were defined by SNPs mapping to 15q25.1 (rs12914385; P = 3.19 x 10(-16)), 5p15.33 (rs4975616; P = 6.66 x 10(-7)), and 6p21.33 (rs3117582; P = 9.13 x 10(-7)). Variation at 15q25.1, but not 5p15.33 or 6p21.33, was strongly associated with smoking behavior with risk alleles correlated to higher consumption. Variation at 5p15.33 was shown to significantly influence induction of lung cancer histology. Pooling data from the four series provided 21,620 genotypes for 7,560 cases and 8,205 controls. A meta-analysis provided increased support that variation at 15q25.1 (rs8034191; P = 3.24 x 10(-26)), 5p15.33 (rs4975616; P = 2.99 x 10(-9)), and 6p21.33 (rs3117582; P = 4.46 x 10(-10)) influences lung cancer risk. The next best-supported associations were attained at 15q15.2 (rs748404: P = 1.08 x 10(-6)) and 10q23.31 (rs1926203; P = 1.28 x 10(-6)). These data indicate few common variants account for 1% of the excess familial risk underscoring the necessity of having additional large sample series for gene discovery.
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Affiliation(s)
- Peter Broderick
- Institute of Cancer Research, Sutton, Surrey, United Kingdom
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Eisen T, Matakidou A, Houlston R. Identification of low penetrance alleles for lung cancer: the GEnetic Lung CAncer Predisposition Study (GELCAPS). BMC Cancer 2008; 8:244. [PMID: 18715499 PMCID: PMC2535604 DOI: 10.1186/1471-2407-8-244] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2007] [Accepted: 08/20/2008] [Indexed: 01/12/2023] Open
Abstract
Background Part of the inherited risk to lung cancer is likely to include common, low risk alleles. The identification of this class of susceptibility is contingent on association-based analyses. We established GEnetic Lung CAncer Predisposition Study (GELCAPS) to collect DNA and clinico-pathological data from a large series of cases and a series of spouse/partner controls, thereby generating a key resource for the identification of low risk alleles. Methods GELCAPS was one of the first genetic epidemiological trials in the UK to be adopted by the National Cancer Research Network (NCRN) onto its portfolio with the participation of over 100 oncology departments specialising in the management of lung cancer. Results Samples from over 5,000 independent lung cancer cases and 2,000 controls have so far been assembled through GELCAPS. Conclusion GELCAPS represents one of the largest datasets of its type in the world capable of informing on the contribution of low penetrance alleles to the development of lung cancer and the influence of genetic variation on outcome. In addition our experience in developing the GELCAPS serves to illustrate how large DNA biobanks for genetic analyses can be rapidly generated within the UK using the NCRN.
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Affiliation(s)
- Tim Eisen
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK.
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Matakidou A, el Galta R, Webb EL, Rudd MF, Bridle H, Eisen T, Houlston RS. Genetic variation in the DNA repair genes is predictive of outcome in lung cancer. Hum Mol Genet 2007; 16:2333-40. [PMID: 17855454 DOI: 10.1093/hmg/ddm190] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
To assess whether DNA repair gene variants influence the clinical behaviour of lung cancer we examined the impact of a comprehensive panel of 109 non-synonymous single-nucleotide polymorphisms (nsSNPs) in 50 DNA repair genes on overall survival (OS) in 700 lung cancer patients. Fifteen nsSNPs were associated with OS, significantly greater than that expected (P = 0.04). SNPs associated with prognosis mapped primarily to two repair pathways--nucleotide excision repair (NER): ERCC5 D1104H (P = 0.004); ERCC6 G399D (P = 0.023), ERCC6 Q1413R (P = 0.025), POLE (P = 0.014) and base excision repair: APEX1 D148E (P = 0.028); EXO1 E670G (P = 0.007); POLB P242R (P = 0.018). An increasing number of variant alleles in EXO1 was associated with a poorer prognosis [hazard ratio (HR) = 1.24; P = 0.0009]. A role for variation in NER and BRCA2/FA pathway genes as determinants of OS was provided by an analysis restricted to the 456 patients treated with platinum-based agents. Our data indicate that the pathway-based approach has the potential to generate prognostic markers of clinical outcome.
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Affiliation(s)
- Athena Matakidou
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, UK
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Matakidou A, el Galta R, Rudd MF, Webb EL, Bridle H, Eisen T, Houlston RS. Prognostic significance of folate metabolism polymorphisms for lung cancer. Br J Cancer 2007; 97:247-52. [PMID: 17533396 PMCID: PMC2360297 DOI: 10.1038/sj.bjc.6603830] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2007] [Revised: 04/20/2007] [Accepted: 05/09/2007] [Indexed: 01/03/2023] Open
Abstract
Functional nonsynonymous single-nucleotide polymorphisms (nsSNPs) of folate metabolism genes can influence the methylation of tumour suppressor genes, thereby potentially impacting on tumour behaviour. To investigate whether such polymorphisms influence lung cancer survival, we genotyped 14 nsSNPs mapping to methylene-tetrahydrofolate reductase (MTHFR), methionine synthase (MTR), methionine synthase reductase (MTRR); DNA methyltransferase (DNMT2), methylenetetrahydrofolate dehydrogenase (MTHFD1) and methenyltetrahydrofolate synthetase (MTHFS) in 619 Caucasian women with incident disease, 465 with non-small cell (NSCLC) and 154 with small cell lung cancer (SCLC). The most significant association detected was with MTHFS Thr202Ala, with carriers of variant alleles having a worse prognosis (hazard ratio (HR)=1.49; 95% confidence interval: 1.14-1.94). Associations were also detected between overall survival (OS) in SCLC and homozygosity for MTHFR 222Val (HR=1.92; 1.03-3.58) and between OS from NSCLC and MTRR 175Leu carrier status (HR=1.36; 1.06-1.75). While there is evidence that variation in the folate metabolism genes may influence prognosis from lung cancer, current data are insufficiently robust to distinguish individual patient outcome.
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Affiliation(s)
- A Matakidou
- Section of Cancer Genetics, Institute of Cancer Research, Brookes Lawley Building, Sutton, Surrey SM2 5NG, UK
| | - R el Galta
- Section of Cancer Genetics, Institute of Cancer Research, Brookes Lawley Building, Sutton, Surrey SM2 5NG, UK
| | - M F Rudd
- Section of Cancer Genetics, Institute of Cancer Research, Brookes Lawley Building, Sutton, Surrey SM2 5NG, UK
| | - E L Webb
- Section of Cancer Genetics, Institute of Cancer Research, Brookes Lawley Building, Sutton, Surrey SM2 5NG, UK
| | - H Bridle
- Department of Oncology, University of Cambridge, Cambridge CB2 2RE, UK
| | - T Eisen
- Department of Oncology, University of Cambridge, Cambridge CB2 2RE, UK
| | - R S Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Brookes Lawley Building, Sutton, Surrey SM2 5NG, UK
| | - and the GELCAPS Consortium4
- Section of Cancer Genetics, Institute of Cancer Research, Brookes Lawley Building, Sutton, Surrey SM2 5NG, UK
- Department of Oncology, University of Cambridge, Cambridge CB2 2RE, UK
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Matakidou A, el Galta R, Rudd MF, Webb EL, Bridle H, Eisen T, Houlston RS. Further observations on the relationship between the FGFR4 Gly388Arg polymorphism and lung cancer prognosis. Br J Cancer 2007; 96:1904-7. [PMID: 17519899 PMCID: PMC2359960 DOI: 10.1038/sj.bjc.6603816] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [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] [Indexed: 02/07/2023] Open
Abstract
The Gly388Arg polymorphism in the fibroblast growth factor receptor 4 (FGFR4) gene has been reported to influence prognosis in a wide variety of cancer types. To determine whether Gly388Arg is a marker for lung cancer prognosis, we genotyped 619 lung cancer patients with incident disease and examined the relationship between genotype and overall survival. While we employed a comprehensive set of statistical tests, including those sensitive to the detection of differences in early survival, our data provide little evidence to support the tenet that the FGFR4 Gly388Arg polymorphism is a clinically useful marker for lung cancer prognosis.
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MESH Headings
- Amino Acid Substitution
- Arginine
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/mortality
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/therapy
- Carcinoma, Small Cell/genetics
- Carcinoma, Small Cell/pathology
- Carcinoma, Small Cell/therapy
- Combined Modality Therapy
- Glycine
- Humans
- Lung Neoplasms/genetics
- Lung Neoplasms/mortality
- Lung Neoplasms/pathology
- Lung Neoplasms/therapy
- Middle Aged
- Neoplasm Staging/mortality
- Polymorphism, Single Nucleotide
- Prognosis
- Receptor, Fibroblast Growth Factor, Type 4/genetics
- Survival Analysis
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Affiliation(s)
- A Matakidou
- Section of Cancer Genetics, Institute of Cancer Research, Surrey, UK
| | - R el Galta
- Section of Cancer Genetics, Institute of Cancer Research, Surrey, UK
| | - M F Rudd
- Section of Cancer Genetics, Institute of Cancer Research, Surrey, UK
| | - E L Webb
- Section of Cancer Genetics, Institute of Cancer Research, Surrey, UK
| | - H Bridle
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - T Eisen
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - R S Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Surrey, UK
- Section of Cancer Genetics, Brookes Lawley Building, Institute of Cancer Research, Surrey SM2 5NG, UK. E-mail:
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Matakidou A, El Galta R, Webb EL, Rudd MF, Bridle H, Eisen T, Houlston RS. Lack of evidence that p53 Arg72Pro influences lung cancer prognosis: an analysis of survival in 619 female patients. Lung Cancer 2007; 57:207-12. [PMID: 17400332 DOI: 10.1016/j.lungcan.2007.02.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2007] [Revised: 02/14/2007] [Accepted: 02/26/2007] [Indexed: 10/23/2022]
Abstract
The prognostic significance of the Arg72Pro polymorphism of the p53 tumour suppressor gene in cancer is controversial. To determine whether Arg72Pro is a marker for lung cancer prognosis we genotyped 619 female lung cancer patients with incident disease and examined the relationship between genotype and overall survival (OS). Nonparametric tests provided no evidence for a relationship between SNP genotype and OS (P-values 0.131, 0.161, and 0.156 for log rank, Wilcoxon and Fleming-Harrington test statistics, respectively). Under the Cox proportional hazards model the HRs associated with Arg/Pro, Pro/Pro and Pro-carrier status were: 0.98 (95%CI: 0.79-1.22), 0.76 (95%CI: 0.51-1.15) and 0.93 (95%CI: 0.76-1.15), respectively. Despite employing a comprehensive set of statistical tests including those sensitive to the detection of differences in early survival our data provide little evidence to support the tenet that the p53 Arg72Pro polymorphism is a clinically useful prognostic marker for lung cancer.
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Affiliation(s)
- Athena Matakidou
- Section of Cancer Genetics, Brookes Lawley Building, Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
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Matakidou A, Eisen T, Fleischmann C, Bridle H, Houlston RS. Evaluation of xeroderma pigmentosum XPA, XPC, XPD, XPF, XPB, XPG and DDB2 genes in familial early-onset lung cancer predisposition. Int J Cancer 2006; 119:964-7. [PMID: 16550608 DOI: 10.1002/ijc.21931] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Epidemiological data has implicated heterozygosity for xeroderma pigmentosum (XP) as a risk factor for lung cancer. XP has 8 known complementation groups, 7 of which are caused by mutations in genes encoding components of the nucleotide excision repair (NER) pathway. To formally investigate the role of XP-related NER genes in lung cancer susceptibility, we screened germline DNA from 92 familial early-onset lung cancer patients for mutations in all coding regions and intron-exon boundaries of XPA, XPC, XPD, XPF, XPB, XPG and DDB2. Forty-one exonic variants were identified. Twenty-four were nonsynonymous, of which 14 were previously documented polymorphisms. Ten missense variants had not been previously described; none of which were detected in germline DNA from 278 cancer-free controls. Two of the novel missense changes are predicted to be functionally deleterious. Our findings are compatible with XP heterozygosity being a risk factor for lung cancer susceptibility.
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Affiliation(s)
- Athena Matakidou
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom.
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Rudd MF, Webb EL, Matakidou A, Sellick GS, Williams RD, Bridle H, Eisen T, Houlston RS. Variants in the GH-IGF axis confer susceptibility to lung cancer. Genome Res 2006; 16:693-701. [PMID: 16741161 PMCID: PMC1473180 DOI: 10.1101/gr.5120106] [Citation(s) in RCA: 94] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
We conducted a large-scale genome-wide association study in UK Caucasians to identify susceptibility alleles for lung cancer, analyzing 1529 cases and 2707 controls. To increase the likelihood of identifying disease-causing alleles, we genotyped 1476 nonsynonymous single nucleotide polymorphisms (nsSNPs) in 871 candidate cancer genes, biasing SNP selection toward those predicted to be deleterious. Statistically significant associations were identified for 64 nsSNPs, generating a genome-wide significance level of P=0.002. Eleven of the 64 SNPs mapped to genes encoding pivotal components of the growth hormone/insulin-like growth factor (GH-IGF) pathway, including CAMKK1 E375G (OR=1.37, P=5.4x10(-5)), AKAP9 M463I (OR=1.32, P=1.0x10(-4)) and GHR P495T (OR=12.98, P=0.0019). Significant associations were also detected for SNPs within genes in the DNA damage-response pathway, including BRCA2 K3326X (OR=1.72, P=0.0075) and XRCC4 I137T (OR=1.31, P=0.0205). Our study provides evidence that inherited predisposition to lung cancer is in part mediated through low-penetrance alleles and specifically identifies variants in GH-IGF and DNA damage-response pathways with risk of lung cancer.
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Affiliation(s)
| | | | | | | | | | - Helen Bridle
- Section of Medicine, Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
| | - Tim Eisen
- Section of Medicine, Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
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Matakidou A, Eisen T, Bridle H, Houlston RS. Nucleotide excision repair polymorphisms modulate overall lung cancer survival and responsiveness to platinum based chemotherapy agents. J Clin Oncol 2006. [DOI: 10.1200/jco.2006.24.18_suppl.10004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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
10004 Background: The role of DNA repair in maintaining genomic stability and its role in modulating response to chemotherapy agents raises the possibility that variation in these genes may affect lung cancer prognosis. Methods: To comprehensively evaluate the impact of variation in the nucleotide excision repair (NER) pathway on lung cancer prognosis, we analysed 408 lung cancer patients for all coding, non-synonymous single nucleotide polymorphisms (SNPs) within NER-related genes. Results: Mean age of lung cancer diagnosis among patients was 63 years, 105 patients with small cell lung cancer (SCLC) and 299 with non-small cell lung cancer (NSCLC). The mean follow-up time was 24 months and a total of 234 deaths were observed. Mean survival time was 17.3 and 18.6 months for SCLC and NSCLC respectively. The XPG H1104D minor allele homozygote and the tightly linked CSB M1097V, R1213G, and Q1413R heterozygote genotypes were associated with decreased overall survival, irrespective of whether patients were treated with or without platinum chemotherapy (HRs of 2.22, 95% CI: 1.19–4.16; p=0.013 and 1.39, 95% CI: 1.05–1.84; p=0.02 respectively). No statistically significant interaction was detected between the at-risk genotypes and histology and/or stage of disease at diagnosis. To assess the predictive value of these SNPs in relation to platinum based chemotherapy, genotype-survival associations were evaluated in non-platinum and platinum treated patients. In non-platinum treated patients the RAD23B A249V and CSB M1097V minor allele genotypes were associated with decreased overall survival (p=0.004 and 0.002 respectively), whilst the XPC K939Q minor allele genotype was predictive of improved survival (p=0.03). In platinum-treated patients, carriers of the XPG H1104D minor allele were found to have a statistically significant decrease in their overall survival (p=0.04 and 0.004 for minor allele heterozygote and homozygote patients respectively). Conclusions: These findings suggest that genetic polymorphisms in the NER genes may modulate overall lung cancer prognosis as well as response to platinum-based chemotherapy agents, independent of histological diagnosis and stage of disease at presentation. No significant financial relationships to disclose.
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Affiliation(s)
- A. Matakidou
- Gelcaps Consortium; Institute of Cancer Research, Surrey, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom
| | - T. Eisen
- Gelcaps Consortium; Institute of Cancer Research, Surrey, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom
| | - H. Bridle
- Gelcaps Consortium; Institute of Cancer Research, Surrey, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom
| | - R. S. Houlston
- Gelcaps Consortium; Institute of Cancer Research, Surrey, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom
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Yau T, Ashley S, Popat S, Norton A, Matakidou A, Coward J, O'Brien MER. Time and chemotherapy treatment trends in the treatment of elderly patients (age >/=70 years) with small cell lung cancer. Br J Cancer 2006; 94:18-21. [PMID: 16317431 PMCID: PMC2361085 DOI: 10.1038/sj.bjc.6602888] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [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] [Indexed: 11/21/2022] Open
Abstract
Platinum-based treatment for small cell lung cancer (SCLC) has been established since 1995. This study investigates treatment outcome of elderly patients (age ⩾70 years) with SCLC over the past 20 years in a large UK cancer centre. Comparison of all-cause survival was assessed in patients presenting between two predefined time periods: 1982–1994 and 1995–2003. All the survival analysis were adjusted for stage and performance status and age if appropriate. Survival between different chemotherapy treatment regimens was compared. A total of 322 elderly patients (31% of all) registered between 1982–2003 received chemotherapy for SCLC. Patients presenting in 1995–2003 had an overall better median survival (43 vs 25 weeks) and a 1-year survival (37 vs 14%) than patients presenting in 1982–1994 (P<0.001). This applied to patients with both limited and extensive stage disease and all age groups. There was a trend towards the use of more platinum-based treatments in the later cohort but the use of radiotherapy remained constant. Patients who received platinum combinations (Carboplatin or Cisplatin) had significantly improved survival over those who received single agents or other combinations (P<0.001) and there was no significant difference between carboplatin and cisplatin (P=0.7). The analysis demonstrates that there has been a significant improvement in survival for elderly patients with lung cancer treated by chemotherapy in the past 20 years despite more very elderly patients being treated with a poorer performance status. This change is probably multifactorial and may be due to the increased use of platinum-based treatment and improved supportive care.
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Affiliation(s)
- T Yau
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - S Ashley
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - S Popat
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - A Norton
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - A Matakidou
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - J Coward
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - M E R O'Brien
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
- Lung Unit, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK. E-mail: Mary.O'
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Abstract
We performed a systematic review of 28 case–control, 17 cohort and seven twin studies of the relationship between family history and risk of lung cancer and a meta-analysis of risk estimates. Data from both case–control and cohort studies show a significantly increased lung cancer risk associated with having an affected relative. Risk appears to be greater in relatives of cases diagnosed at a young age and in those with multiple affected family members. Increased lung cancer risk was observed in association with an affected spouse and twin studies, while limited, favour shared environmental exposures. The limitations of the currently published epidemiological studies to infer genetic susceptibility are discussed.
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Affiliation(s)
- A Matakidou
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, UK.
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Abstract
Family history data from a case-control study of lung cancer conducted in the United Kingdom between 1999 and 2004 were analysed to estimate familial risks of the disease. Comparison of lung cancer prevalence in first-degree relatives of 1,482 female lung cancer cases and 1,079 female controls was undertaken using logistic regression adjusting for age and tobacco exposure. Overall, lung cancer in a first-degree relative was associated with a significant increase in the risk of lung cancer [odds ratio (OR) 1.49; 95% confidence interval (CI), 1.13-1.96]. For cases with early onset of the disease (< 60 years), the OR of lung cancer was 2.02 (95% CI, 1.22-3.34). Having 2 or more affected relatives was associated with an OR of 2.68 (95% CI, 1.29-5.55), with a significant trend in risk according to the number of relatives affected (p = 0.001). An increased risk of lung cancer associated with family history of the disease was observed when analysis was restricted to lifetime nonsmokers, although this did not reach significance (OR 1.23; 95% CI, 0.65-2.31). Results confirm previous findings and support the role of a familial predisposition to lung cancer.
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Affiliation(s)
- Athena Matakidou
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom.
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Sirohi B, Matakidou A, Benson C, Ashley S, Priest K, Norton A, James M, Saka W, Popat S, O'Brien M. PD-082 Early response to platinum-based chemotherapy in nonsmall cell lung cancer (NSCLC) predicts survival unluike in mesotheliomas. Lung Cancer 2005. [DOI: 10.1016/s0169-5002(05)80415-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Matakidou A, Eisen T, Bridle H, Houlston R. P-087 Search for susceptibility alleles to lung cancer by screeningfamilial cases for constitutional mutations in the Xeroderma Pigmentosum Complementation genes. Lung Cancer 2005. [DOI: 10.1016/s0169-5002(05)80581-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Yau T, Ashley S, Popat S, Norton A, Matakidou A, O'Brien M. P-596 Chemotherapy treatments outcome and toxicities in the treatmentof elderly patients (age ⩾ 70) with lung cancer. Lung Cancer 2005. [DOI: 10.1016/s0169-5002(05)81089-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Sirohi B, Matakidou A, Ashley S, Popat S, Saka W, Priest K, Norton A, James M, Benepal T, Eisen T, O’Brien M. Early response to platinum-based chemotherapy in non small cell lung cancer (NSCLC) predicts survival. J Clin Oncol 2005. [DOI: 10.1200/jco.2005.23.16_suppl.7208] [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)
- B. Sirohi
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - A. Matakidou
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - S. Ashley
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - S. Popat
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - W. Saka
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - K. Priest
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - A. Norton
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - M. James
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - T. Benepal
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - T. Eisen
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
| | - M. O’Brien
- The Royal Marsden Hosp, Sutton, Surrey, United Kingdom
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Yau T, Ashley S, Popat S, Norton A, Matakidou A, Priest K, James M, O’Brien MER. Case-control study comparing the cisplatin-based chemotherapy toxicity between elderly (age>/=70) and younger patient with lung cancer. J Clin Oncol 2005. [DOI: 10.1200/jco.2005.23.16_suppl.7239] [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)
- T. Yau
- Royal Marsden Hosp, Sutton, United Kingdom
| | - S. Ashley
- Royal Marsden Hosp, Sutton, United Kingdom
| | - S. Popat
- Royal Marsden Hosp, Sutton, United Kingdom
| | - A. Norton
- Royal Marsden Hosp, Sutton, United Kingdom
| | | | - K. Priest
- Royal Marsden Hosp, Sutton, United Kingdom
| | - M. James
- Royal Marsden Hosp, Sutton, United Kingdom
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Popat S, Matakidou A, Houlston RS. In Reply:. J Clin Oncol 2005. [DOI: 10.1200/jco.2005.05.268] [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)
- Sanjay Popat
- Institute of Cancer Research, Sutton, Surrey, United Kingdom
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Abstract
PURPOSE A number of studies have investigated the relationship between thymidylate synthase (TS) expression and survival in colorectal cancer (CRC) patients. Although most have reported poorer overall and progression-free survival with high TS expression, estimates of the hazard ratio (HR) between studies differ wildly. To derive a more precise estimate of the prognostic significance of TS expression, we have reviewed published studies and carried out a meta-analysis. MATERIALS AND METHODS Twenty studies stratifying overall survival and/or progression-free survival in CRC patients by TS expression status were eligible for analysis. The principal outcome measure was the HR. Data from these studies were pooled using standard meta-analysis techniques. RESULTS Thirteen studies investigated outcome in a total of 887 cases with advanced CRC, and seven studies investigated outcome in a total of 2,610 patients with localized CRC. A number of methods were used both to assess TS expression and to assign TS status. Sample sizes varied greatly, small sample sizes being a feature of the advanced disease studies. The combined HR estimate for overall survival (OS) was 1.74 (95% CI, 1.34 to 2.26) and 1.35 (95% CI, 1.07 to 1.80) in the advanced and adjuvant settings, respectively, but there was evidence of heterogeneity and possible publication bias. CONCLUSION Tumors expressing high levels of TS appeared to have a poorer OS compared with tumors expressing low levels. Additional studies with consistent methodology are needed to define the precise prognostic value of TS.
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Affiliation(s)
- Sanjay Popat
- Section of Cancer Genetics, Institute of Cancer Research, Sutton SM2 5NG, UK.
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