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Zeng PYF, Prokopec SD, Lai SY, Pinto N, Chan-Seng-Yue MA, Clifton-Bligh R, Williams MD, Howlett CJ, Plantinga P, Cecchini MJ, Lam AK, Siddiqui I, Wang J, Sun RX, Watson JD, Korah R, Carling T, Agrawal N, Cipriani N, Ball D, Nelkin B, Rooper LM, Bishop JA, Garnis C, Berean K, Nicolson NG, Weinberger P, Henderson YC, Lalansingh CM, Tian M, Yamaguchi TN, Livingstone J, Salcedo A, Patel K, Vizeacoumar F, Datti A, Xi L, Nikiforov YE, Smallridge R, Copland JA, Marlow LA, Hyrcza MD, Delbridge L, Sidhu S, Sywak M, Robinson B, Fung K, Ghasemi F, Kwan K, MacNeil SD, Mendez A, Palma DA, Khan MI, Shaikh M, Ruicci KM, Wehrli B, Winquist E, Yoo J, Mymryk JS, Rocco JW, Wheeler D, Scherer S, Giordano TJ, Barrett JW, Faquin WC, Gill AJ, Clayman G, Boutros PC, Nichols AC. The genomic and evolutionary landscapes of anaplastic thyroid carcinoma. Cell Rep 2024; 43:113826. [PMID: 38412093 DOI: 10.1016/j.celrep.2024.113826] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 12/04/2023] [Accepted: 02/05/2024] [Indexed: 02/29/2024] Open
Abstract
Anaplastic thyroid carcinoma is arguably the most lethal human malignancy. It often co-occurs with differentiated thyroid cancers, yet the molecular origins of its aggressivity are unknown. We sequenced tumor DNA from 329 regions of thyroid cancer, including 213 from patients with primary anaplastic thyroid carcinomas. We also whole genome sequenced 9 patients using multi-region sequencing of both differentiated and anaplastic thyroid cancer components. Using these data, we demonstrate thatanaplastic thyroid carcinomas have a higher burden of mutations than other thyroid cancers, with distinct mutational signatures and molecular subtypes. Further, different cancer driver genes are mutated in anaplastic and differentiated thyroid carcinomas, even those arising in a single patient. Finally, we unambiguously demonstrate that anaplastic thyroid carcinomas share a genomic origin with co-occurring differentiated carcinomas and emerge from a common malignant field through acquisition of characteristic clonal driver mutations.
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Affiliation(s)
- Peter Y F Zeng
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; London Regional Cancer Program, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - Stephenie D Prokopec
- Ontario Institute for Cancer Research, Toronto, ON, Canada; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Stephen Y Lai
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicole Pinto
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada
| | | | - Roderick Clifton-Bligh
- Division of Endocrinology, Royal North Shore Hospital, and University of Sydney, Sydney, NSW, Australia
| | - Michelle D Williams
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Paul Plantinga
- Department of Pathology, Western University, London, ON, Canada
| | - Matthew J Cecchini
- Department of Pathology, School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Alfred K Lam
- Department of Pathology, School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Iram Siddiqui
- Department of Laboratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Jianxin Wang
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Ren X Sun
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - John D Watson
- Ontario Institute for Cancer Research, Toronto, ON, Canada; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Reju Korah
- Department of Surgery, Yale University, New Haven, CT, USA
| | - Tobias Carling
- Department of Surgery, Yale University, New Haven, CT, USA
| | - Nishant Agrawal
- Department of Otolaryngology - Head and Neck Surgery, University of Chicago, Chicago, IL, USA
| | - Nicole Cipriani
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - Douglas Ball
- Division of Endocrinology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Barry Nelkin
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Lisa M Rooper
- Division of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Justin A Bishop
- Department of Pathology, University of Texas Southwestern, Dallas, TX, USA
| | | | | | | | - Paul Weinberger
- Department of Otolaryngology - Head and Neck Surgery, Louisiana State University Health Sciences Center, Shreveport, LA, USA; Feist-Weiller Cancer Center, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - Ying C Henderson
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Mao Tian
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Takafumi N Yamaguchi
- Ontario Institute for Cancer Research, Toronto, ON, Canada; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Julie Livingstone
- Ontario Institute for Cancer Research, Toronto, ON, Canada; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Adriana Salcedo
- Ontario Institute for Cancer Research, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Krupal Patel
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | - Alessandro Datti
- Network Biology Collaborative Centre, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada; Department of Agricultural, Food, and Environmental Sciences, University of Perugia, Perugia, Italy
| | - Liu Xi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Yuri E Nikiforov
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Robert Smallridge
- Division of Endocrinology, Department of Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - John A Copland
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | - Laura A Marlow
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | - Martin D Hyrcza
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Leigh Delbridge
- Department of Surgery, Royal North Shore Hospital, Sydney, NSW, Australia; University of Sydney, Sydney, NWS, Australia
| | - Stan Sidhu
- Department of Surgery, Royal North Shore Hospital, Sydney, NSW, Australia; University of Sydney, Sydney, NWS, Australia
| | - Mark Sywak
- Department of Surgery, Royal North Shore Hospital, Sydney, NSW, Australia; University of Sydney, Sydney, NWS, Australia
| | - Bruce Robinson
- University of Sydney, Sydney, NWS, Australia; Department of Endocrinology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Kevin Fung
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - Farhad Ghasemi
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada
| | - Keith Kwan
- Department of Pathology, Western University, London, ON, Canada
| | - S Danielle MacNeil
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - Adrian Mendez
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - David A Palma
- London Regional Cancer Program, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - Mohammed I Khan
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada
| | - Mushfiq Shaikh
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada
| | - Kara M Ruicci
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada
| | - Bret Wehrli
- Department of Pathology, Western University, London, ON, Canada
| | - Eric Winquist
- London Regional Cancer Program, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - John Yoo
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada
| | - Joe S Mymryk
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; London Regional Cancer Program, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada; Department of Microbiology and Immunology, Western University, London, ON, Canada
| | - James W Rocco
- Department of Otolaryngology - Head and Neck Surgery, Ohio State University, Columbus, OH, USA
| | - David Wheeler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Steve Scherer
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - John W Barrett
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada
| | - William C Faquin
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anthony J Gill
- University of Sydney, Sydney, NWS, Australia; Cancer Diagnosis and Pathology Group, Kolling Institute of Medicine, Royal North Shore Hospital, Sydney, NSW, Australia; NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Gary Clayman
- The Clayman Thyroid Surgery and Thyroid Cancer Center, The Thyroid Institute, Tampa General Hospital, Tampa, FL, USA
| | - Paul C Boutros
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA; Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA; Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Anthony C Nichols
- Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON, Canada; London Regional Cancer Program, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada; Department of Oncology, Western University, London, ON, Canada.
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Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV. Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Wellcome Sanger Institute, Cambridge, UK.
| | - Clemency Jolly
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Ignaty Leshchiner
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stefan C. Dentro
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK
| | - Santiago Gonzalez
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Daniel Rosebrock
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Thomas J. Mitchell
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Yulia Rubanova
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Pavana Anur
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - Kaixian Yu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maxime Tarabichi
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Amit Deshwar
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Jeff Wintersinger
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Kortine Kleinheinz
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Heidelberg University, Heidelberg, Germany
| | - Ignacio Vázquez-García
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Kerstin Haase
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Lara Jerman
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK ,grid.8954.00000 0001 0721 6013University of Ljubljana, Ljubljana, Slovenia
| | - Subhajit Sengupta
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA
| | - Geoff Macintyre
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Salem Malikic
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Nilgun Donmez
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Dimitri G. Livitz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marek Cmero
- grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, Victoria Australia ,grid.1042.70000 0004 0432 4889Walter and Eliza Hall Institute, Melbourne, Victoria Australia
| | - Jonas Demeulemeester
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.5596.f0000 0001 0668 7884University of Leuven, Leuven, Belgium
| | - Steven Schumacher
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Yu Fan
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiaotong Yao
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Juhee Lee
- grid.205975.c0000 0001 0740 6917University of California Santa Cruz, Santa Cruz, CA USA
| | - Matthias Schlesner
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul C. Boutros
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, Ontario Canada ,grid.19006.3e0000 0000 9632 6718University of California, Los Angeles, CA USA
| | - David D. Bowtell
- grid.1055.10000000403978434Peter MacCallum Cancer Centre, Melbourne, Victoria Australia
| | - Hongtu Zhu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Gad Getz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Marcin Imielinski
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Rameen Beroukhim
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - S. Cenk Sahinalp
- grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada ,grid.411377.70000 0001 0790 959XIndiana University, Bloomington, IN USA
| | - Yuan Ji
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822The University of Chicago, Chicago, IL USA
| | - Martin Peifer
- grid.6190.e0000 0000 8580 3777University of Cologne, Cologne, Germany
| | - Florian Markowetz
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ville Mustonen
- grid.7737.40000 0004 0410 2071University of Helsinki, Helsinki, Finland
| | - Ke Yuan
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK ,grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Wenyi Wang
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Quaid D. Morris
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | | | - Paul T. Spellman
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - David C. Wedge
- grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK ,grid.454382.c0000 0004 7871 7212Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK. .,University of Leuven, Leuven, Belgium.
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, 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Schwarz RF, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Stegle O, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Zhang Z, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Brazma A, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Rätsch G, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Brooks AN, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Brazma A, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Brooks AN, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Göke J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Rätsch G, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Schwarz RF, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Stegle O, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Zhang Z, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Aaltonen LA, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Abascal F, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Abeshouse A, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Aburatani H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, 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Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, 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Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
| | - Claudia Calabrese
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Natalie R. Davidson
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medical College, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Deniz Demircioğlu
- grid.4280.e0000 0001 2180 6431National University of Singapore, Singapore, Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Nuno A. Fonseca
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Yao He
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - André Kahles
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Kjong-Van Lehmann
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Fenglin Liu
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Yuichi Shiraishi
- grid.26999.3d0000 0001 2151 536XThe University of Tokyo, Minato-ku, Japan
| | - Cameron M. Soulette
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Lara Urban
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Liliana Greger
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Siliang Li
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Dongbing Liu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Marc D. Perry
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Qian Xiang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Fan Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Junjun Zhang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter Bailey
- grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Serap Erkek
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Katherine A. Hoadley
- grid.10698.360000000122483208The University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yong Hou
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Matthew R. Huska
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Helena Kilpinen
- grid.83440.3b0000000121901201University College London, London, UK
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Maximillian G. Marin
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Julia Markowski
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Tannistha Nandi
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Qiang Pan-Hammarström
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.4714.60000 0004 1937 0626Karolinska Institutet, Stockholm, Sweden
| | - Chandra Sekhar Pedamallu
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Reiner Siebert
- grid.410712.10000 0004 0473 882XUlm University and Ulm University Medical Center, Ulm, Germany
| | - Stefan G. Stark
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Hong Su
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Patrick Tan
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, Singapore
| | - Sebastian M. Waszak
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Christina Yung
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Shida Zhu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Philip Awadalla
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada
| | - Chad J. Creighton
- grid.39382.330000 0001 2160 926XBaylor College of Medicine, Houston, TX USA
| | - Matthew Meyerson
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | | | - Kui Wu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Huanming Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | | | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
| | - Angela N. Brooks
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA ,grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - Jonathan Göke
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745National Cancer Centre Singapore, Singapore, Singapore
| | - Gunnar Rätsch
- ETH Zurich, Zurich, Switzerland. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell Medical College, New York, NY, USA. .,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,University Hospital Zurich, Zurich, Switzerland.
| | - Roland F. Schwarz
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), partner site Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Zemin Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
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4
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Davarifar A, Yanagawa J, Al Shihabi A, Nguyen HT, Liu LY, Salcedo A, Gonzalez A, Yamaguchi TN, Bernthal N, Nelson SD, Federman N, Boutros PC, Soragni A. Abstract 3071: A reconstruction of evolutionary trajectories in primary tissue and PDTOs in a patient with metastatic osteosarcoma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3071] [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
Metastatic osteosarcoma is a rare and highly lethal cancer that affects children and young adults. The rarity of osteosarcoma and its highly heterogeneous genetic composition have resulted in a lack of curative treatments for recurrent and metastatic disease.
In this study, we present the functional and molecular characterization of a case of a pediatric patient with left distal femur osteosarcoma and pulmonary metastases at presentation. Through longitudinal sampling over the course of the patient’s illness, we have procured tissue from the initial treatment-naïve diagnostic biopsy, primary tumor resection and multiple subsequent lung metastasectomies, and have developed patient-derived tumor organoids (PDTOs) from the viable samples. PDTOs are useful pre-clinical models that are representative of the source tissue and allow further interrogations of the biology of tumors. These models can also help with the identification of effective personalized therapies (Al Shihabi et al, 2021). We applied our mini-ring organoid screening technology (Phan et al, 2019; Nguyen et al, 2020) to perform high-throughput drug screening with different pharmacologic agents. We also performed deep whole-genome sequencing on all collected samples and corresponding organoids to reconstruct their evolutionary history, identify driver mutations and quantify heterogeneity in mutational processes across time and space.
Our preliminary data show that the subclonal content of the tumor and derivative organoids as well as the PDTO drug responses vary with the patient’s treatment history. We identify the genomic makeup of the subclones and posit changes that may be responsible for chemoresistance. Furthermore, our data shows correlations between the subclonal genomic composition of the PDTOs and source tissue, thereby reinforcing that PDTOs are capable of accurately recapitulating the subclonal heterogeneity of the parental tumor.
Citation Format: Ardy Davarifar, Jane Yanagawa, Ahmad Al Shihabi, Huyen T. Nguyen, Lydia Y. Liu, Adriana Salcedo, Alfredo Gonzalez, Takafumi N. Yamaguchi, Nicholas Bernthal, Scott D. Nelson, Noah Federman, Paul C. Boutros, Alice Soragni. A reconstruction of evolutionary trajectories in primary tissue and PDTOs in a patient with metastatic osteosarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3071.
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Affiliation(s)
| | - Jane Yanagawa
- 1University of California, Los Angeles, Los Angeles, CA
| | | | | | - Lydia Y. Liu
- 1University of California, Los Angeles, Los Angeles, CA
| | | | | | | | | | | | - Noah Federman
- 1University of California, Los Angeles, Los Angeles, CA
| | | | - Alice Soragni
- 1University of California, Los Angeles, Los Angeles, CA
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5
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Cornille A, Tiret M, Salcedo A, Huang HR, Orsucci M, Milesi P, Kryvokhyzha D, Holm K, Ge XJ, Stinchcombe JR, Glémin S, Wright SI, Lascoux M. The relative role of plasticity and demographic history in Capsella bursa-pastoris: a common garden experiment in Asia and Europe. AoB Plants 2022; 14:plac011. [PMID: 35669442 PMCID: PMC9162126 DOI: 10.1093/aobpla/plac011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 03/28/2022] [Indexed: 05/15/2023]
Abstract
The colonization success of a species depends on the interplay between its phenotypic plasticity, adaptive potential and demographic history. Assessing their relative contributions during the different phases of a species range expansion is challenging, and requires large-scale experiments. Here, we investigated the relative contributions of plasticity, performance and demographic history to the worldwide expansion of the shepherd's purse, Capsella bursa-pastoris. We installed two large common gardens of the shepherd's purse, a young, self-fertilizing, allopolyploid weed with a worldwide distribution. One common garden was located in Europe, the other in Asia. We used accessions from three distinct genetic clusters (Middle East, Europe and Asia) that reflect the demographic history of the species. Several life-history traits were measured. To explain the phenotypic variation between and within genetic clusters, we analysed the effects of (i) the genetic clusters, (ii) the phenotypic plasticity and its association to fitness and (iii) the distance in terms of bioclimatic variables between the sampling site of an accession and the common garden, i.e. the environmental distance. Our experiment showed that (i) the performance of C. bursa-pastoris is closely related to its high phenotypic plasticity; (ii) within a common garden, genetic cluster was a main determinant of phenotypic differences; and (iii) at the scale of the experiment, the effect of environmental distance to the common garden could not be distinguished from that of genetic clusters. Phenotypic plasticity and demographic history both play important role at different stages of range expansion. The success of the worldwide expansion of C. bursa-pastoris was undoubtedly influenced by its strong phenotypic plasticity.
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Affiliation(s)
| | | | | | | | - Marion Orsucci
- Department of Plant Biology, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
| | - Pascal Milesi
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, 75236 Uppsala, Sweden
- Science for Life Laboratory, 752 37 Uppsala, Sweden
| | - Dmytro Kryvokhyzha
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, 75236 Uppsala, Sweden
| | - Karl Holm
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, 75236 Uppsala, Sweden
| | - Xue-Jun Ge
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou 510650, China
| | - John R Stinchcombe
- Department of Ecology and Evolutionary Biology, University of Toronto, M5S 3B2 Toronto, ON, Canada
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6
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Foucal A, Livingstone J, Salcedo A, Kuk C, Fraser M, Pushkar D, Govorov A, Kovylina M, Bristow R, Fleshner N, Van Der Kwast T, Zlotta A, Boutros P. The genomic landscape of unsuspected, incidentally detected Gleason 7 prostate cancer found on autopsy. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01392-0] [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: 12/01/2022]
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7
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Busacca S, Zhang Q, Sharkey A, Dawson AG, Moore DA, Waller DA, Nakas A, Jones C, Cain K, Luo JL, Salcedo A, Salaroglio IC, Riganti C, Le Quesne J, John T, Boutros PC, Zhang SD, Fennell DA. Transcriptional perturbation of protein arginine methyltransferase-5 exhibits MTAP-selective oncosuppression. Sci Rep 2021; 11:7434. [PMID: 33795785 PMCID: PMC8016828 DOI: 10.1038/s41598-021-86834-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/18/2021] [Indexed: 02/05/2023] Open
Abstract
We hypothesized that small molecule transcriptional perturbation could be harnessed to target a cellular dependency involving protein arginine methyltransferase 5 (PRMT5) in the context of methylthioadenosine phosphorylase (MTAP) deletion, seen frequently in malignant pleural mesothelioma (MPM). Here we show, that MTAP deletion is negatively prognostic in MPM. In vitro, the off-patent antibiotic Quinacrine efficiently suppressed PRMT5 transcription, causing chromatin remodelling with reduced global histone H4 symmetrical demethylation. Quinacrine phenocopied PRMT5 RNA interference and small molecule PRMT5 inhibition, reducing clonogenicity in an MTAP-dependent manner. This activity required a functional PRMT5 methyltransferase as MTAP negative cells were rescued by exogenous wild type PRMT5, but not a PRMT5E444Q methyltransferase-dead mutant. We identified c-jun as an essential PRMT5 transcription factor and a probable target for Quinacrine. Our results therefore suggest that small molecule-based transcriptional perturbation of PRMT5 can leverage a mutation-selective vulnerability, that is therapeutically tractable, and has relevance to 9p21 deleted cancers including MPM.
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Affiliation(s)
- Sara Busacca
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Qi Zhang
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing, China
| | - Annabel Sharkey
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Alan G Dawson
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK.,Department of Thoracic Surgery, Glenfield Hospital, University Hospitals of Leicester, Leicester, UK
| | - David A Moore
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.,Department of Cellular Pathology, University College London Hospital, London, UK
| | - David A Waller
- Department of Thoracic Surgery, St. Bartholomew's Hospital, London, UK
| | - Apostolos Nakas
- Department of Thoracic Surgery, Glenfield Hospital, University Hospitals of Leicester, Leicester, UK
| | - Carolyn Jones
- MRC Toxicology Unit, University of Cambridge, Leicester, UK
| | - Kelvin Cain
- MRC Toxicology Unit, University of Cambridge, Leicester, UK
| | - Jin-Li Luo
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Adriana Salcedo
- Departments of Human Genetics and Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, USA.,Ontario Institute for Cancer Research, Toronto, Canada.,Departments of Medical Biophysics and Pharmacology and Toxicology, University of Toronto, Toronto, Canada
| | | | - Chiara Riganti
- Department of Oncology, University of Torino, Torino, Italy
| | - John Le Quesne
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK.,MRC Toxicology Unit, University of Cambridge, Leicester, UK
| | - Tom John
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Paul C Boutros
- Departments of Human Genetics and Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, USA
| | - Shu-Dong Zhang
- Northern Ireland Centre for Stratified Medicine, School of Biomedical Sciences, Ulster University, Londonderry, UK
| | - Dean A Fennell
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK.
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8
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Sinnayah P, Salcedo A, Rekhari S. Reimagining physiology education with interactive content developed in H5P. Adv Physiol Educ 2021; 45:71-76. [PMID: 33529142 DOI: 10.1152/advan.00021.2020] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 06/12/2023]
Abstract
The amalgamation of educational technologies in higher education is widespread and has become essential for contemporary practice on a large scale. Foundational anatomy and physiology knowledge is integral to all courses in health education. To tackle the volume and complexity of the content taught at the foundation level, the incorporation of online tools embedded within curricula provides a unique opportunity to engage students through active learning strategies in a blended design (Means B, Toyama Y, Murphy R, Baki M. Teach Coll Rec 115: 1-47, 2013). This article reports on the use of H5P as a platform to foster self-paced and self-directed learning, critically outlining the developmental process involved in scaffolding activities to learning outcomes. The H5P activities were embedded within the online learning management system, which enabled tracking of student access to these resources. Students were asked to complete an online survey about their perspectives on the effectiveness of H5P activities. This work is part of a comprehensive study evaluating the blended design for delivery of first-year physiology subjects.
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Affiliation(s)
- P Sinnayah
- First Year College, Victoria University, Melbourne, Victoria, Australia
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
| | - A Salcedo
- First Year College, Victoria University, Melbourne, Victoria, Australia
| | - S Rekhari
- College of Science Engineering and Health, RMIT University Melbourne, Melbourne, Victoria, Australia
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9
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Tarabichi M, Salcedo A, Deshwar AG, Ni Leathlobhair M, Wintersinger J, Wedge DC, Van Loo P, Morris QD, Boutros PC. A practical guide to cancer subclonal reconstruction from DNA sequencing. Nat Methods 2021; 18:144-155. [PMID: 33398189 PMCID: PMC7867630 DOI: 10.1038/s41592-020-01013-2] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 11/09/2020] [Indexed: 01/28/2023]
Abstract
Subclonal reconstruction from bulk tumor DNA sequencing has become a pillar of cancer evolution studies, providing insight into the clonality and relative ordering of mutations and mutational processes. We provide an outline of the complex computational approaches used for subclonal reconstruction from single and multiple tumor samples. We identify the underlying assumptions and uncertainties in each step and suggest best practices for analysis and quality assessment. This guide provides a pragmatic resource for the growing user community of subclonal reconstruction methods.
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Affiliation(s)
- Maxime Tarabichi
- The Francis Crick Institute, London, UK
- Wellcome Sanger Institute, Hinxton, UK
| | - Adriana Salcedo
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Amit G Deshwar
- The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Máire Ni Leathlobhair
- Big Data Institute, University of Oxford, Oxford, UK
- Ludwig Institute for Cancer Research, University of Oxford, Oxford, UK
| | - Jeff Wintersinger
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - David C Wedge
- Big Data Institute, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford, UK
- Manchester Cancer Research Centre, University of Manchester, Manchester, UK
| | | | - Quaid D Morris
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Paul C Boutros
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA.
- Vector Institute, Toronto, Ontario, Canada.
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
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10
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Riaz N, Sherman E, Pei X, Schöder H, Grkovski M, Paudyal R, Katabi N, Selenica P, Yamaguchi TN, Ma D, Lee SK, Shah R, Kumar R, Kuo F, Ratnakumar A, Aleynick N, Brown D, Zhang Z, Hatzoglou V, Liu LY, Salcedo A, Tsai CJ, McBride S, Morris LGT, Boyle J, Singh B, Higginson DS, Damerla RR, Paula ADC, Price K, Moore EJ, Garcia JJ, Foote R, Ho A, Wong RJ, Chan TA, Powell SN, Boutros PC, Humm JL, Shukla-Dave A, Pfister D, Reis-Filho JS, Lee N. Precision Radiotherapy: Reduction in Radiation for Oropharyngeal Cancer in the 30 ROC Trial. J Natl Cancer Inst 2021; 113:742-751. [PMID: 33429428 DOI: 10.1093/jnci/djaa184] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/21/2020] [Accepted: 10/02/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Patients with human papillomavirus-related oropharyngeal cancers have excellent outcomes but experience clinically significant toxicities when treated with standard chemoradiotherapy (70 Gy). We hypothesized that functional imaging could identify patients who could be safely deescalated to 30 Gy of radiotherapy. METHODS In 19 patients, pre- and intratreatment dynamic fluorine-18-labeled fluoromisonidazole positron emission tomography (PET) was used to assess tumor hypoxia. Patients without hypoxia at baseline or intratreatment received 30 Gy; patients with persistent hypoxia received 70 Gy. Neck dissection was performed at 4 months in deescalated patients to assess pathologic response. Magnetic resonance imaging (weekly), circulating plasma cell-free DNA, RNA-sequencing, and whole-genome sequencing (WGS) were performed to identify potential molecular determinants of response. Samples from an independent prospective study were obtained to reproduce molecular findings. All statistical tests were 2-sided. RESULTS Fifteen of 19 patients had no hypoxia on baseline PET or resolution on intratreatment PET and were deescalated to 30 Gy. Of these 15 patients, 11 had a pathologic complete response. Two-year locoregional control and overall survival were 94.4% (95% confidence interval = 84.4% to 100%) and 94.7% (95% confidence interval = 85.2% to 100%), respectively. No acute grade 3 radiation-related toxicities were observed. Microenvironmental features on serial imaging correlated better with pathologic response than tumor burden metrics or circulating plasma cell-free DNA. A WGS-based DNA repair defect was associated with response (P = .02) and was reproduced in an independent cohort (P = .03). CONCLUSIONS Deescalation of radiotherapy to 30 Gy on the basis of intratreatment hypoxia imaging was feasible, safe, and associated with minimal toxicity. A DNA repair defect identified by WGS was predictive of response. Intratherapy personalization of chemoradiotherapy may facilitate marked deescalation of radiotherapy.
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Affiliation(s)
- Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eric Sherman
- Department of Medical Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xin Pei
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Milan Grkovski
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nora Katabi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Takafumi N Yamaguchi
- UCLA, Department of Human Genetics, Los Angeles, CA, USA.,Informatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, USA.,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, CA, USA
| | - Daniel Ma
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | - Simon K Lee
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rachna Shah
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rahul Kumar
- Institute for Cancer Genetics, Columbia University, New York, NY, USA
| | - Fengshen Kuo
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Abhirami Ratnakumar
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nathan Aleynick
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David Brown
- Institute for Cancer Genetics, Columbia University, New York, NY, USA
| | - Zhigang Zhang
- Departmant of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lydia Y Liu
- UCLA, Department of Human Genetics, Los Angeles, CA, USA.,Informatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, USA.,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, CA, USA.,Department of Medical Biophysics, University of Toronto, Toronto, ON, USA.,Vector Institute for Artificial Intelligence, Toronto, ON, USA
| | - Adriana Salcedo
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, USA.,Department of Medical Biophysics, University of Toronto, Toronto, ON, USA
| | - Chiaojung J Tsai
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sean McBride
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Luc G T Morris
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jay Boyle
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bhuvanesh Singh
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel S Higginson
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rama R Damerla
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaud da Cruz Paula
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Katharine Price
- Divison of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Eric J Moore
- Department of Otolaryngology, Mayo Clinic, Rochester, MN, USA
| | | | - Robert Foote
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | - Alan Ho
- Department of Medical Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard J Wong
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy A Chan
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon N Powell
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Paul C Boutros
- UCLA, Department of Human Genetics, Los Angeles, CA, USA.,Informatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, USA.,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, CA, USA.,Department of Medical Biophysics, University of Toronto, Toronto, ON, USA.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, USA.,Department of Urology, University of California, Los Angeles, CA, USA.,Institute for Precision Health, University of California, Los Angeles, CA, USA
| | - John L Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amita Shukla-Dave
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David Pfister
- Department of Medical Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nancy Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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11
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Liu LY, Bhandari V, Salcedo A, Espiritu SMG, Morris QD, Kislinger T, Boutros PC. Quantifying the influence of mutation detection on tumour subclonal reconstruction. Nat Commun 2020; 11:6247. [PMID: 33288765 PMCID: PMC7721877 DOI: 10.1038/s41467-020-20055-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 08/26/2019] [Accepted: 11/10/2020] [Indexed: 02/06/2023] Open
Abstract
Whole-genome sequencing can be used to estimate subclonal populations in tumours and this intra-tumoural heterogeneity is linked to clinical outcomes. Many algorithms have been developed for subclonal reconstruction, but their variabilities and consistencies are largely unknown. We evaluate sixteen pipelines for reconstructing the evolutionary histories of 293 localized prostate cancers from single samples, and eighteen pipelines for the reconstruction of 10 tumours with multi-region sampling. We show that predictions of subclonal architecture and timing of somatic mutations vary extensively across pipelines. Pipelines show consistent types of biases, with those incorporating SomaticSniper and Battenberg preferentially predicting homogenous cancer cell populations and those using MuTect tending to predict multiple populations of cancer cells. Subclonal reconstructions using multi-region sampling confirm that single-sample reconstructions systematically underestimate intra-tumoural heterogeneity, predicting on average fewer than half of the cancer cell populations identified by multi-region sequencing. Overall, these biases suggest caution in interpreting specific architectures and subclonal variants.
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Affiliation(s)
- Lydia Y Liu
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 2C1, Canada.,Vector Institute for Artificial Intelligence, Toronto, ON, M5G 1M1, Canada.,Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, 90024, USA.,Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Vinayak Bhandari
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada
| | - Adriana Salcedo
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.,Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, 90024, USA.,Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, 90095, USA.,Ontario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada
| | | | - Quaid D Morris
- Vector Institute for Artificial Intelligence, Toronto, ON, M5G 1M1, Canada.,Department of Computer Science, University of Toronto, Toronto, ON, M5T 3A1, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada.,Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Thomas Kislinger
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 2C1, Canada
| | - Paul C Boutros
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada. .,Vector Institute for Artificial Intelligence, Toronto, ON, M5G 1M1, Canada. .,Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA. .,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, 90024, USA. .,Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, 90095, USA. .,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, M5S 1A8, Canada. .,Department of Urology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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12
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Rooney M, Chapman B, Ludmir E, De La Cruz D, Salcedo A, Thomas C, Pinnix C, Das P, Jagsi R, Holliday E. Linguistic Biases in Letters of Recommendation for Radiation Oncology Residency Applicants. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2522] [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: 10/23/2022]
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Aaltonen LA, Abascal F, Abeshouse A, Aburatani H, Adams DJ, Agrawal N, Ahn KS, Ahn SM, Aikata H, Akbani R, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, von Mering C. Pan-cancer analysis of whole genomes. Nature 2020; 578:82-93. [PMID: 32025007 PMCID: PMC7025898 DOI: 10.1038/s41586-020-1969-6] [Citation(s) in RCA: 1435] [Impact Index Per Article: 358.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
Abstract
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1-3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10-18.
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Salcedo A, Tarabichi M, Espiritu SMG, Deshwar AG, David M, Wilson NM, Dentro S, Wintersinger JA, Liu LY, Ko M, Sivanandan S, Zhang H, Zhu K, Ou Yang TH, Chilton JM, Buchanan A, Lalansingh CM, P'ng C, Anghel CV, Umar I, Lo B, Zou W, Simpson JT, Stuart JM, Anastassiou D, Guan Y, Ewing AD, Ellrott K, Wedge DC, Morris Q, Van Loo P, Boutros PC. A community effort to create standards for evaluating tumor subclonal reconstruction. Nat Biotechnol 2020; 38:97-107. [PMID: 31919445 PMCID: PMC6956735 DOI: 10.1038/s41587-019-0364-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [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: 04/27/2018] [Accepted: 11/18/2019] [Indexed: 02/03/2023]
Abstract
Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used these approaches to link cancer evolution with clinical progression and response to therapy. Although the inference of tumor phylogenies is rapidly becoming standard practice in cancer genome analyses, standards for evaluating them are lacking. To address this need, we systematically assess methods for reconstructing tumor subclonality. First, we elucidate the main algorithmic problems in subclonal reconstruction and develop quantitative metrics for evaluating them. Then we simulate realistic tumor genomes that harbor all known clonal and subclonal mutation types and processes. Finally, we benchmark 580 tumor reconstructions, varying tumor read depth, tumor type and somatic variant detection. Our analysis provides a baseline for the establishment of gold-standard methods to analyze tumor heterogeneity.
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Affiliation(s)
- Adriana Salcedo
- Ontario Institute for Cancer Research, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Maxime Tarabichi
- The Francis Crick Institute, London, UK
- Wellcome Trust Sanger Institute, Hinxton, UK
| | | | - Amit G Deshwar
- The Edward S. Rogers Senior Department of Electrical & Computer Engineering, Toronto, Canada
| | - Matei David
- Ontario Institute for Cancer Research, Toronto, Canada
| | | | - Stefan Dentro
- The Francis Crick Institute, London, UK
- Wellcome Trust Sanger Institute, Hinxton, UK
| | | | - Lydia Y Liu
- Ontario Institute for Cancer Research, Toronto, Canada
| | - Minjeong Ko
- Ontario Institute for Cancer Research, Toronto, Canada
| | | | - Hongjiu Zhang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Kaiyi Zhu
- Department of Systems Biology, Columbia University, New York, NY, USA
- Center for Cancer Systems Therapeutics, Columbia University, New York, NY, USA
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology, Columbia University, New York, NY, USA
- Center for Cancer Systems Therapeutics, Columbia University, New York, NY, USA
- Department of Electrical Engineering, Columbia University, New York, NY, USA
| | - John M Chilton
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Alex Buchanan
- Oregon Health & Sciences University, Portland, OR, USA
| | | | | | | | - Imaad Umar
- Ontario Institute for Cancer Research, Toronto, Canada
| | - Bryan Lo
- Ontario Institute for Cancer Research, Toronto, Canada
| | - William Zou
- Ontario Institute for Cancer Research, Toronto, Canada
| | | | - Joshua M Stuart
- Department of Biomolecular Engineering, Center for Biomolecular Sciences and Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Dimitris Anastassiou
- Department of Systems Biology, Columbia University, New York, NY, USA
- Center for Cancer Systems Therapeutics, Columbia University, New York, NY, USA
- Department of Electrical Engineering, Columbia University, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, USA
| | - Yuanfang Guan
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Electronic Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
| | - Adam D Ewing
- Mater Research Institute, University of Queensland, Woolloongabba, Queensland, Australia
| | - Kyle Ellrott
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
- Oregon Health & Sciences University, Portland, OR, USA
| | - David C Wedge
- Big Data Institute, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Quaid Morris
- Ontario Institute for Cancer Research, Toronto, Canada
- Donnelly Centre, University of Toronto, Toronto, Canada
- Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Vector Institute for Artificial Intelligence, Toronto, Canada
| | - Peter Van Loo
- The Francis Crick Institute, London, UK
- Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Paul C Boutros
- Department of Medical Biophysics, University of Toronto, Toronto, Canada.
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada.
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA.
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.
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Brastianos H, Murgic J, Salcedo A, Chua M, Meng A, Fraser M, Brundage M, Fleshner N, van der Kwast T, Bristow R. 39 Determination of the Impact of Intratumoural Heterogeneity on Prognostic Biomarkers in Localized Prostate Cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)33325-0] [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: 11/29/2022]
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Salcedo A, Watson JD, Racher H, Rushlow D, Espiritu SMG, Sendorek DH, Prokopec SD, Matveski D, Yousif F, Livingstone J, Gallie BL, Boutros PC. Abstract 3771: Oncogenes and tumour-suppressors drive differential retinoblastoma evolution. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-3771] [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
Unlike any other tumour type, retinoblastomas can be driven by only two tumour-initiating events: bi-allelic loss of the tumour suppressor RB1 or amplification of the MYCN oncogene. These mutations drive morphologically indistinguishable tumours that arise at different ages, providing a unique model system to evaluate the influence of initiating mutation on tumour evolution. We performed high-resolution copy number analysis of 101 retinoblastoma and whole genome sequencing of 23. These data reveal that different initiating mutations cause probabilistic changes in somatic point and copy number mutations, but large changes in genomic rearrangements and mitochondrial number. Independent of the initiating mutation, retinoblastomas harbour multiple subclonal populations that preferentially accrue point mutations after subclonal diversification. These subclonal structures suggest caution when choosing chemotherapeutic strategies for primary treatment. Overall, initiating mutations influence evolutionary trajectory more than specific driver mutations: RB1- and MYCN-driven tumours harbour distinct mutational processes, sequences of mutation acquisition and patterns of subclonal diversification. These data show how tumour-initiating mutations drive clinical behaviour by subtly biasing multiple evolutionary processes. Validation in other tumour types is underway.
Citation Format: Adriana Salcedo, John D. Watson, Hilary Racher, Diane Rushlow, Shadrielle Melijah G. Espiritu, Doroto H. Sendorek, Stephenie D. Prokopec, Donco Matveski, Fouad Yousif, Julie Livingstone, Brenda L. Gallie, Paul C. Boutros. Oncogenes and tumour-suppressors drive differential retinoblastoma evolution [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 3771.
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Affiliation(s)
- Adriana Salcedo
- 1Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - John D. Watson
- 1Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | | | | | | | | | | | - Fouad Yousif
- 1Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | | | - Paul C. Boutros
- 1Ontario Institute for Cancer Research, Toronto, Ontario, Canada
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Brastianos H, Murgic J, Salcedo A, Chua MLK, Meng A, Fraser M, Brundage MD, Fleshner NE, van der Kwast T, Bristow RG, Boutros PC, Berlin A. The impact of intratumoral heterogeneity on prognostic biomarkers in localized prostate cancer. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.7_suppl.46] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
46 Background: Genomic biomarkers can identify patients that harbour aggressive disease. The utility of these biomarkers is uncertain due to genomic variation between prostate biopsy specimens. To quantify the robustness of genomic biomarkers, we performed spatio-genomic characterization of distinct tumor foci. We scored three validated DNA-based biomarkers of early biochemical recurrence: percentage of genome with a copy number aberration (PGA), a 100-loci biomarker, and an optimized 31- loci biomarker derived from the previous. For each biomarker, we determined their robustness to intratumoral heterogeneity in association with predicting early biochemical recurrence (eBCR; ≤18 months) and long term control (LTC; ≥48 months). Methods: We queried a registry of 1054 patients with high-risk prostate cancer who underwent a radical prostatectomy (RP). We developed a cohort (n = 42) risk matched by clinicopathologic prognostic indices. Half of the patients had eBCR, while the other half had LTC. We profiled multiple tumor foci per patient, analyzing 119 tumor foci. For each focus, CNA profiles were generated, and three biomarker scores were calculated. For each patient and biomarker, we calculated the score of the lowest-score region, the highest-score region, or sampling of all foci and use the mean score. Results: All three biomarkers distinguished LTC from eBCR. PGA scores separated the two groups with an area under the receiver operator curves (AUC) ranging from 0.75-0.80. The 100- and 31-loci signatures, had AUCs ranging from 0.76-0.85 and 0.76-0.80 respectively. Using Cox proportional hazards modeling, we found that PGA was associated with LTC (Hazard ratio (HR) range: 2.56-6.22; p < 0.05. This was replicated for the 100-loci signature (HR range: 3.55-5.23; p < 0.05). The 31-loci detected associations with eBCR independent of how different foci were summarized (log-rank p-value range: 5.1 x 10-4- 5.9 x 10-3). Conclusions: Despite divergence in biomarker scores, all three predicted eBCR. Our study suggests that genomic biomarkers can overcome intratumoral heterogeneity, making discrete samples potentially adequate in patients with high-risk disease to determine the risk of eBCR after radical treatment.
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Affiliation(s)
| | - Jure Murgic
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | | | | | - Alice Meng
- STTARR Innovation Centre, Radiation Medicine Program, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, ON, Canada
| | - Michael Fraser
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Michael Donald Brundage
- Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Neil Eric Fleshner
- Department of Surgery, Division of Urology, University Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | | | - Alejandro Berlin
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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18
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Kryvokhyzha D, Salcedo A, Eriksson MC, Duan T, Tawari N, Chen J, Guerrina M, Kreiner JM, Kent TV, Lagercrantz U, Stinchcombe JR, Glémin S, Wright SI, Lascoux M. Parental legacy, demography, and admixture influenced the evolution of the two subgenomes of the tetraploid Capsella bursa-pastoris (Brassicaceae). PLoS Genet 2019; 15:e1007949. [PMID: 30768594 PMCID: PMC6395008 DOI: 10.1371/journal.pgen.1007949] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [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: 10/01/2018] [Revised: 02/28/2019] [Accepted: 01/09/2019] [Indexed: 11/18/2022] Open
Abstract
Allopolyploidy is generally perceived as a major source of evolutionary novelties and as an instantaneous way to create isolation barriers. However, we do not have a clear understanding of how two subgenomes evolve and interact once they have fused in an allopolyploid species nor how isolated they are from their relatives. Here, we address these questions by analyzing genomic and transcriptomic data of allotetraploid Capsella bursa-pastoris in three differentiated populations, Asia, Europe, and the Middle East. We phased the two subgenomes, one descended from the outcrossing and highly diverse Capsella grandiflora (CbpCg) and the other one from the selfing and genetically depauperate Capsella orientalis (CbpCo). For each subgenome, we assessed its relationship with the diploid relatives, temporal changes of effective population size (Ne), signatures of positive and negative selection, and gene expression patterns. In all three regions, Ne of the two subgenomes decreased gradually over time and the CbpCo subgenome accumulated more deleterious changes than CbpCg. There were signs of widespread admixture between C. bursa-pastoris and its diploid relatives. The two subgenomes were impacted differentially depending on geographic region suggesting either strong interploidy gene flow or multiple origins of C. bursa-pastoris. Selective sweeps were more common on the CbpCg subgenome in Europe and the Middle East, and on the CbpCo subgenome in Asia. In contrast, differences in expression were limited with the CbpCg subgenome slightly more expressed than CbpCo in Europe and the Middle-East. In summary, after more than 100,000 generations of co-existence, the two subgenomes of C. bursa-pastoris still retained a strong signature of parental legacy but their evolutionary trajectory strongly varied across geographic regions.
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Affiliation(s)
- Dmytro Kryvokhyzha
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Adriana Salcedo
- Department of Ecology and Evolution, University of Toronto, Toronto, Canada
| | - Mimmi C. Eriksson
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Tianlin Duan
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Nilesh Tawari
- Computational and Systems Biology Group, Genome Institute of Singapore, Agency for Science, Technology and Research (A*Star), Singapore
| | - Jun Chen
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Maria Guerrina
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Julia M. Kreiner
- Department of Ecology and Evolution, University of Toronto, Toronto, Canada
| | - Tyler V. Kent
- Department of Ecology and Evolution, University of Toronto, Toronto, Canada
| | - Ulf Lagercrantz
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Sylvain Glémin
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- CNRS, Université de Rennes 1, ECOBIO (Ecosystémes, biodiversité, évolution) - UMR 6553, F-35000 Rennes, France
| | - Stephen I. Wright
- Department of Ecology and Evolution, University of Toronto, Toronto, Canada
| | - Martin Lascoux
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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Berlin A, Murgic J, Hosni A, Pintilie M, Salcedo A, Fraser M, Kamel-Reid S, Zhang J, Wang Q, Ch'ng C, Deheshi S, Davicioni E, van der Kwast T, Boutros PC, Bristow RG, Chua ML. Genomic Classifier for Guiding Treatment of Intermediate-Risk Prostate Cancers to Dose-Escalated Image Guided Radiation Therapy Without Hormone Therapy. Int J Radiat Oncol Biol Phys 2019; 103:84-91. [DOI: 10.1016/j.ijrobp.2018.08.030] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 08/08/2018] [Accepted: 08/19/2018] [Indexed: 02/07/2023]
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Chua M, Bristow R, Murgic J, Hosni Abdalaty A, Salcedo A, Kamel-Reid S, Fraser M, Zhang J, Wang Q, Ch'ng C, Deheshi S, Davicioni E, Van der Kwast T, Boutros P, Berlin A. A Biopsy Based Genomic Classifier Predicts Biochemical Failure and Metastasis after Definitive Radiation without Hormone Therapy in a Prospective Cohort of Intermediate-Risk Prostate Cancer. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.06.254] [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: 11/27/2022]
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Espiritu SMG, Liu LY, Rubanova Y, Bhandari V, Holgersen EM, Szyca LM, Fox NS, Chua ML, Yamaguchi TN, Heisler LE, Livingstone J, Wintersinger J, Yousif F, Lalonde E, Rouette A, Salcedo A, Houlahan KE, Li CH, Huang V, Fraser M, van der Kwast T, Morris QD, Bristow RG, Boutros PC. The Evolutionary Landscape of Localized Prostate Cancers Drives Clinical Aggression. Cell 2018; 173:1003-1013.e15. [DOI: 10.1016/j.cell.2018.03.029] [Citation(s) in RCA: 149] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 01/01/2018] [Accepted: 03/13/2018] [Indexed: 12/12/2022]
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Chua M, Murgic J, Hosni A, Salcedo A, Kamel-Reid S, Berlin A, Pintile M, Fraser M, Van Der Kwast T, Boutros PC, Bristow RG. A biopsy-based genomic classifier to predict biochemical failure after definitive radiation without hormone therapy in a prospective cohort of intermediate risk prostate cancer. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.6_suppl.68] [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
68 Background: Recently, NCCN adopted the Zumsteg-Spratt subclassification to define NCCN favorable and unfavorable intermediate-risk prostate cancer (IR-PCa). NCCN unfavorable disease is recommended to receive combination androgen deprivation therapy (ADT) and radiotherapy. To determine if genomics could help identify a subset who may safely avoid ADT, we evaluated the Decipher genomic classifier (GC) in IR-PCa treated with dose-escalated image-guided radiotherapy (DE-IGRT) alone. Methods: Our cohort comprised of 121 patients with NCCN favorable (N = 49, 40%) and unfavorable (N = 74, 60%) IR-PCa, who received 78 Gy without ADT. Diagnostic needle biopsies with the highest Gleason score (GS) and %tumor involvement were macrodissected for RNA extraction. GC scores were determined from the Decipher prostate cancer classifier assay (GenomeDx Biosciences, San Diego, CA). Primary clinical endpoint was biochemical relapse ([BCR], PSA nadir + 2ng/ml) post-DE-IGRT. We compared association with BCR against known clinicopathologic prognostic indices and the NCCN risk strata. Results: With a median follow up of 7.5y, 24 (19%) patients experienced BCR. Individual clinical indices did not predict BCR-free survival rate (BFS). NCCN risk strata was however associated with a small but significant difference in BFS (5-y 93%, favorable vs 88%, unfavourable, P = 0.046). GC scores stratified 85 (70%), 19 (16%), and 17 (14%) men into low, intermediate, and high risk of recurrence; 5-y BFS were 95%, 89%, and 59%, respectively (P < 0.001). On multivariable analysis, a hazard ratio of 4.71 (95% CI 1.81-12.28, P = 0.0015) for BCR was observed for the GC high risk group compared to low/intermediate; NCCN risk strata and intraductal variant did not achieve significance. Conclusions: In IR-PCa men treated with DE-IGRT monotherapy, Decipher GC was an independent predictor of BCR. While most men in this our cohort were stratified as NCCN unfavorable IR-PCa, the majority were GC low risk with excellent outcomes from DE-IGRT alone. In contrast, a minority with GC high risk had suboptimal outcomes, and may benefit from ADT intensification.
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Affiliation(s)
- Melvin Chua
- National Cancer Centre Singapore, Singapore, Singapore
| | - Jure Murgic
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Ali Hosni
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - Alejandro Berlin
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Melania Pintile
- Ontario Cancer Institute, Princess Margaret Hospital, University of Toronto, Toronto, ON, Canada
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Chua ML, Holgersen E, Sabelnykova V, Salcedo A, Meng A, Fraser M, Kwast TVD, Boutros PC, Bristow RG. Abstract 5860: Genomic architecture of prostate cancer at recurrence following radiotherapy. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-5860] [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
Aim: Spatial intra-tumoural heterogeneity of prostate cancer is secondary to differential genomics and multi-clonality, even for tumours with the same Gleason grade. These unique features promote resistance to treatment. Here, we investigated if clonal selection or adaptation of new clones dominates in prostate cancer at the time of recurrence following high dose precision radiotherapy.
Methods: We identified 11 patients with biopsy-proven multi-focal recurrent prostate cancer following definitive image-guided radiotherapy/brachytherapy. Copy number aberration (CNA) profiling was performed on 33 anatomically distinct tumour foci with 11 matched-normals in the radio-resistant cohort. To assess clonality, 4 cases had matched pre-radiotherapy tumours for copy number profiling. We evaluated for recurrent driver amplifications and deletions, and genomic instability as measured by percent genome aberration (PGA). We also compared these genomic indices against 373 comprehensively profiled sporadic prostate cancers from the Canadian Prostate Cancer Gene Network [Fraser, et al., Nature, 2016].
Results: Independent of Gleason grade, we observed large intra-patient (COV of 0.66-1.13) and inter-patient heterogeneity (p <0.001, one-way ANOVA) in the levels of genomic instability, as judged by PGA scores, among the radioresistant tumours. Interestingly, although total CNA counts did not differ between the radioresistant and sporadic (CPC-GENE) cohorts (median CNAs of 40, radioresistant vs 33, sporadic, p = 0.20], we observed a trend for increased genomic instability in the radioresistant cohort (median PGA of 8.8 vs 4.9, p = 0.059). This concurs with the findings on intra-tumoural spatial CNA analyses, which revealed the acquisition of CNAs that were both common and non-recurrent in the multi-focal radioresistant tumours, thus suggesting a common origin with subsequent divergent evolution. Importantly, we observed a mixture of CNAs, including known drivers of aggressive prostate cancer, namely NKX3-1, PTEN, TP53, CDKN1B, and CDH1, that was shared between pre-radiotherapy and radioresistant tumours, supporting a clonal selection process. We also discovered a novel deleted region on Chr3p, consisting of RAD18 and FANCD2, which was unique only in the radioresistant tumours.
Conclusions: Our novel observations in a small cohort of radioresistant prostate cancers favour the model of selection of radioresistant clones, as opposed to new-onset tumours. These results support the current approach of discovering biomarkers a priori, and molecular therapeutic targets for these radioresistant clones, so as to improve the therapeutic ratio of precision radiotherapy.
Citation Format: Melvin L.K. Chua, Erle Holgersen, Veronica Sabelnykova, Adriana Salcedo, Alice Meng, Michael Fraser, Theodorus van der Kwast, Paul C. Boutros, Robert G. Bristow. Genomic architecture of prostate cancer at recurrence following radiotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5860. doi:10.1158/1538-7445.AM2017-5860
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Affiliation(s)
| | - Erle Holgersen
- 2Ontario Institute of Cancer Research, Toronto, Ontario, Canada
| | | | | | - Alice Meng
- 1Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Michael Fraser
- 1Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | - Paul C. Boutros
- 2Ontario Institute of Cancer Research, Toronto, Ontario, Canada
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Thapa B, Salcedo A, Lin X, Walkiewicz M, Murone C, Ameratunga M, Asadi K, Deb S, Barnett SA, Knight S, Mitchell P, Watkins DN, Boutros PC, John T. The Immune Microenvironment, Genome-wide Copy Number Aberrations, and Survival in Mesothelioma. J Thorac Oncol 2017; 12:850-859. [DOI: 10.1016/j.jtho.2017.02.013] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2016] [Revised: 12/19/2016] [Accepted: 02/12/2017] [Indexed: 02/07/2023]
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25
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Chua M, Holgersen E, Sabelnykova V, Salcedo A, Meng A, Fraser M, Van Der Kwast T, Boutros PC, Bristow RG. Genomic architecture of radioresistant prostate cancer. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.6_suppl.26] [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
26 Background: Spatial intra-tumoral heterogeneity of prostate cancer is secondary to genomic diversity and multi-clonality. These unique features potentially promote resistance to treatment. Here, we investigated if clonal selection or adaptation of new clones dominates in prostate cancer at the time of recurrence following radiotherapy. Methods: We identified 11 patients with biopsy-proven multifocal recurrent prostate cancer following radiotherapy. Copy number aberration (CNA) profiling was performed on 33 anatomically distinct tumor foci with 11 matched-normals. 4 cases had matched pre-radiotherapy tumors for CNA profiling to assess for clonality. We evaluated for recurrent gene amplifications and deletions, and determined genomic instability by percent genome aberration (PGA). We also compared these genomic indices against 373 sporadic prostate cancers from the Canadian Prostate Cancer Gene Network. Results: We observed large intra- and inter-patient variation (p <0.001, one-way ANOVA) in PGA scores among the radioresistant tumors. Interestingly, although total CNA counts did not differ between the radioresistant and sporadic cohorts (median = 40, radioresistant vs 33, sporadic, p = 0.20], there was a trend for increased genomic instability in the radioresistant cohort (median PGA = 8.8 vs 4.9, p = 0.059). Spatial resolution of gene-level CNAs revealed the acquisition of CNAs that were both common and non-recurrent in the multi-focal radioresistant tumors, thus suggesting a common clonal origin, with subsequent divergent evolution. Importantly, we observed a mixture of CNAs, including known prognostic genes in prostate cancer, namely NKX3-1, PTEN, TP53, CDKN1B, and CDH1,that was shared between pre-treatment and radioresistant tumors, favoring clonal selection. We also discovered a novel deleted region on Chr3p, consisting of RAD18 and FANCD2, which was uniquely present in the radioresistant tumors. Conclusions: Our novel observations in a small cohort of radioresistant prostate cancers favor the model of clonal selection, as opposed to new-onset tumors. These results support the discovery of biomarkers a priori, and targeted treatment of these radioresistant clones to improve the therapeutic ratio of precision radiotherapy.
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Affiliation(s)
- Melvin Chua
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Erle Holgersen
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | - Adriana Salcedo
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Alice Meng
- STTARR Innovation Centre, Radiation Medicine Program, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, ON, Canada
| | - Michael Fraser
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
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Thapa B, Walkeiwicz M, Murone C, Ameratunga M, Asadi K, Deb S, Barnett S, Knight S, Lin X, Salcedo A, Mitchell P, Boutros P, Watkins N, John T. P3.03-004 Genome-Wide Copy Number Aberrations in Mesothelioma and Its Correlation with Tumor Microenvironment including PD-L1 Expression. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2016.11.1903] [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: 10/20/2022]
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27
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Chua M, Salcedo A, Meng A, Zhang J, Fleshner N, Fraser M, van der Kwast T, Boutros P, Bristow R. Genomic Architecture of Prostate Cancer at Recurrence Following Radiation Therapy. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2016.06.280] [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: 10/20/2022]
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Alonso MJ, Asensio O, Baranda F, Bousoño C, Figuerola J, Giron R, Gartner S, Prados C, Salcedo A, Solé A. 2 Next Generation Sequencing genotyping project in Spanish cystic fibrosis patients with uncharacterized CFTR mutations. J Cyst Fibros 2016. [DOI: 10.1016/s1569-1993(16)30242-9] [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: 11/30/2022]
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29
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Thapa B, Walkiewicz M, Murone C, Ameratunga M, Asadi K, Deb S, Lin X, Salcedo A, Barnett S, Knight S, Mitchell P, Boutros PC, Watkins N, John T. Correlation of PD-L1 expression with immune cell infiltrates, genome-wide copy number aberrations and survival in mesothelioma. J Clin Oncol 2016. [DOI: 10.1200/jco.2016.34.15_suppl.8518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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)
- Bibhusal Thapa
- Olivia Newton-John Cancer Research Institute, Melbourne, Victoria, Melbourne, Australia
| | | | - Carmel Murone
- Olivia Newton-John Cancer Research Institute, Melbourne, Australia
| | | | - Khashayar Asadi
- Department of Anatomical Pathology, Austin Health, Heidelberg, Australia
| | | | - Xihui Lin
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Adriana Salcedo
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | | | | | - Paul C Boutros
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | | | - Thomas John
- Olivia Newton-John Cancer Research Institute, Melbourne, Australia
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30
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Cornille A, Salcedo A, Kryvokhyzha D, Glémin S, Holm K, Wright SI, Lascoux M. Genomic signature of successful colonization of Eurasia by the allopolyploid shepherd's purse (Capsella bursa-pastoris). Mol Ecol 2016; 25:616-29. [PMID: 26607306 DOI: 10.1111/mec.13491] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 11/18/2015] [Accepted: 11/19/2015] [Indexed: 12/29/2022]
Abstract
Polyploidization is a dominant feature of flowering plant evolution. However, detailed genomic analyses of the interpopulation diversification of polyploids following genome duplication are still in their infancy, mainly because of methodological limits, both in terms of sequencing and computational analyses. The shepherd's purse (Capsella bursa-pastoris) is one of the most common weed species in the world. It is highly self-fertilizing, and recent genomic data indicate that it is an allopolyploid, resulting from hybridization between the ancestors of the diploid species Capsella grandiflora and Capsella orientalis. Here, we investigated the genomic diversity of C. bursa-pastoris, its population structure and demographic history, following allopolyploidization in Eurasia. To that end, we genotyped 261 C. bursa-pastoris accessions spread across Europe, the Middle East and Asia, using genotyping-by-sequencing, leading to a total of 4274 SNPs after quality control. Bayesian clustering analyses revealed three distinct genetic clusters in Eurasia: one cluster grouping samples from Western Europe and Southeastern Siberia, the second one centred on Eastern Asia and the third one in the Middle East. Approximate Bayesian computation (ABC) supported the hypothesis that C. bursa-pastoris underwent a typical colonization history involving low gene flow among colonizing populations, likely starting from the Middle East towards Europe and followed by successive human-mediated expansions into Eastern Asia. Altogether, these findings bring new insights into the recent multistage colonization history of the allotetraploid C. bursa-pastoris and highlight ABC and genotyping-by-sequencing data as promising but still challenging tools to infer demographic histories of selfing allopolyploids.
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Affiliation(s)
- A Cornille
- Department of Ecology and Genetics, Evolutionary Biology Centre, Science for life Laboratory, Uppsala University, Uppsala 75236, Sweden
| | - A Salcedo
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St., Toronto, ON M6R 1M3, Canada
| | - D Kryvokhyzha
- Department of Ecology and Genetics, Evolutionary Biology Centre, Science for life Laboratory, Uppsala University, Uppsala 75236, Sweden
| | - S Glémin
- Department of Ecology and Genetics, Evolutionary Biology Centre, Science for life Laboratory, Uppsala University, Uppsala 75236, Sweden
| | - K Holm
- Department of Ecology and Genetics, Evolutionary Biology Centre, Science for life Laboratory, Uppsala University, Uppsala 75236, Sweden
| | - S I Wright
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St., Toronto, ON M6R 1M3, Canada
| | - M Lascoux
- Department of Ecology and Genetics, Evolutionary Biology Centre, Science for life Laboratory, Uppsala University, Uppsala 75236, Sweden
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Salcedo A, Kalisz S, Wright SI. Limited genomic consequences of mixed mating in the recently derived sister species pair, Collinsia concolor and Collinsia parryi. J Evol Biol 2014; 27:1400-12. [PMID: 24796997 DOI: 10.1111/jeb.12384] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Revised: 03/07/2014] [Accepted: 03/12/2014] [Indexed: 11/30/2022]
Abstract
Highly selfing species often show reduced effective population sizes and reduced selection efficacy. Whether mixed mating species, which produce both self and outcross progeny, show similar patterns of diversity and selection remains less clear. Examination of patterns of molecular evolution and levels of diversity in species with mixed mating systems can be particularly useful for investigating the relative importance of linked selection and demographic effects on diversity and the efficacy of selection, as the effects of linked selection should be minimal in mixed mating populations, although severe bottlenecks tied to founder events could still be frequent. To begin to address this gap, we assembled and analysed the transcriptomes of individuals from a recently diverged mixed mating sister species pair in the self-compatible genus, Collinsia. The de novo assembly of 52 and 37 Mbp C. concolor and C. parryi transcriptomes resulted in ~40 000 and ~55 000 contigs, respectively, both with an average contig size ~945. We observed a high ratio of shared polymorphisms to fixed differences in the species pair and minimal differences between species in the ratio of synonymous to replacement substitutions or codon usage bias implying comparable effective population sizes throughout species divergence. Our results suggest that differences in effective population size and selection efficacy in mixed mating taxa shortly after their divergence may be minimal and are likely influenced by fluctuating mating systems and population sizes.
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Affiliation(s)
- A Salcedo
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
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Garcia Martin A, Fernandez Golfin C, Salido Tahoces L, Fernandez Santos S, Jimenez Nacher J, Moya Mur J, Velasco Valdazo E, Hernandez Antolin R, Zamorano Gomez J, Veronesi F, Corsi C, Caiani E, Lamberti C, Tsang W, Holmgren C, Guo X, Bateman M, Iaizzo P, Vannier M, Lang R, Patel A, Adamayn K, Tumasyan LR, Chilingaryan A, Nasr G, Eleraki A, Farouk N, Axelsson A, Langhoff L, Jensen M, Vejlstrup N, Iversen K, Bundgaard H, Watanabe T, Iwai-Takano M, Attenhofer Jost CH, Pfyffer M, Seifert B, Scharf C, Candinas R, Medeiros-Domingo A, Chin JY, Yoon H, Vollbon W, Singbal Y, Rhodes K, Wahi S, Katova TM, Simova II, Hristova K, Kostova V, Pauncheva B, Bircan A, Sade L, Eroglu S, Pirat B, Okyay K, Bal U, Muderrisoglu H, Heggemann F, Buggisch H, Welzel G, Doesch C, Hansmann J, Schoenberg S, Borggrefe M, Wenz F, Papavassiliu T, Lohr F, Roussin I, Drakopoulou M, Rosen S, Sharma R, Prasad S, Lyon A, Carpenter J, Senior R, Breithardt OA, Razavi H, Arya A, Nabutovsky Y, Ryu K, Gaspar T, Kosiuk J, Eitel C, Hindricks G, Piorkowski C, Pires S, Nunes A, Cortez-Dias N, Belo A, Zimbarra Cabrita I, Sousa C, Pinto F, Baron T, Johansson K, Flachskampf F, Christersson C, Pires S, Cortez-Dias N, Nunes A, Belo A, Zimbarra Cabrita I, Sousa C, Pinto F, Santoro A, Federico Alvino F, Giovanni Antonelli G, Raffaella De Vito R, Roberta Molle R, Sergio Mondillo S, Gustafsson M, Alehagen U, Johansson P, Tsukishiro Y, Onishi T, Chimura M, Yamada S, Taniguchi Y, Yasaka Y, Kawai H, Souza JRM, Zacharias LGT, Pithon KR, Ozahata TM, Cliquet AJ, Blotta MH, Nadruz WJ, Fabiani I, Conte L, Cuono C, Liga R, Giannini C, Barletta V, Nardi C, Delle Donne M, Palagi C, Di Bello V, Glaveckaite S, Valeviciene N, Palionis D, Laucevicius A, Hristova K, Bogdanova V, Ferferieva V, Shiue I, Castellon X, Boles U, Rakhit R, Shiu MF, Gilbert T, Papachristidis A, Henein MY, Westholm C, Johnson J, Jernberg T, Winter R, Ghosh Dastidar A, Augustine D, Cengarle M, Mcalindon E, Bucciarelli-Ducci C, Nightingale A, Onishi T, Watanabe T, Fujita M, Mizukami Y, Sakata Y, Nakatani S, Nanto S, Uematsu M, Saraste A, Luotolahti M, Varis A, Vasankari T, Tunturi S, Taittonen M, Rautakorpi P, Airaksinen J, Ukkonen H, Knuuti J, Boshchenko A, Vrublevsky A, Karpov R, Yoshikawa H, Suzuki M, Hashimoto G, Kusunose Y, Otsuka T, Nakamura M, Sugi K, Rosner S, Orban M, Lesevic H, Karl M, Hadamitzky M, Sonne C, Panaro A, Martinez F, Huguet M, Moral S, Palet J, Oller G, Cuso I, Jornet A, Rodriguez Palomares J, Evangelista A, Stoebe S, Tarr A, Pfeiffer D, Hagendorff A, Gilmanov D, Baroni M, Cerone E, Galli E, Berti S, Glauber M, Soesanto A, Yuniadi Y, Mansyur M, Kusmana D, Venkateshvaran A, Dash PK, Sola S, Govind SC, Shahgaldi K, Winter R, Brodin LA, Manouras A, Dokainish H, Sadreddini M, Nieuwlaat R, Lonn E, Healey J, Nguyen V, Cimadevilla C, Dreyfus J, Codogno I, Vahanian A, Messika-Zeitoun D, Lim YJ, Kawamura A, Kawano S, Polte C, Gao S, Lagerstrand K, Cederbom U, Bech-Hanssen O, Baum J, Beeres F, Van Hall S, Boering Y, Zeus T, Kehmeier E, Kelm M, Balzer J, Della Mattia A, Pinamonti B, Abate E, Nicolosi G, Proclemer A, Bassetti M, Luzzati R, Sinagra G, Hlubocka Z, Jiratova K, Dostalova G, Hlubocky J, Dohnalova A, Linhart A, Palecek T, Sonne C, Lesevic H, Karl M, Rosner S, Hadamitzky M, Ott I, Malev E, Reeva S, Zemtsovsky E, Igual Munoz B, Alonso Fernandez Pau P, Miro Palau Vicente V, Maceira Gonzalez Alicia A, Estornell Erill J, Andres La Huerta A, Donate Bertolin L, Valera Martinez F, Salvador Sanz Antonio A, Montero Argudo Anastasio A, Nemes A, Kalapos A, Domsik P, Chadaide S, Sepp R, Forster T, Onaindia J, Arana X, Cacicedo A, Velasco S, Rodriguez I, Capelastegui A, Sadaba M, Gonzalez J, Salcedo A, Laraudogoitia E, Archontakis S, Gatzoulis K, Vlasseros I, Arsenos P, Tsiachris D, Vouliotis A, Sideris S, Karistinos G, Kalikazaros I, Stefanadis C, Ancona R, Comenale Pinto S, Caso P, Coppola M, Arenga F, Cavallaro C, Vecchione F, D'onofrio A, Calabro R, Correia CE, Moreira D, Cabral C, Santos J, Cardoso J, Igual Munoz B, Maceira Gonzalez A, Estornell Erill Jordi J, Jimenez Carreno R, Arnau Vives M, Monmeneu Menadas J, Domingo-Valero D, Sanchez Fernandez E, Montero Argudo Anastasio A, Zorio Grima E, Cincin A, Tigen K, Karaahmet T, Dundar C, Sunbul M, Guler A, Bulut M, Basaran Y, Mordi I, Carrick D, Berry C, Tzemos N, Cruz I, Ferreira A, Rocha Lopes L, Joao I, Almeida A, Fazendas P, Cotrim C, Pereira H, Ochoa JP, Fernandez A, Filipuzzi J, Casabe J, Salmo J, Vaisbuj F, Ganum G, Di Nunzio H, Veron L, Guevara E, Salemi V, Nerbass F, Portilho N, Ferreira Filho J, Pedrosa R, Arteaga-Fernandez E, Mady C, Drager L, Lorenzi-Filho G, Marques J, Almeida AMG, Menezes M, Silva G, Placido R, Amaro C, Brito D, Diogo A, Lourenco MR, Azevedo O, Moutinho J, Nogueira I, Machado I, Portugues J, Quelhas I, Lourenco A, Calore C, Muraru D, Melacini P, Badano L, Mihaila S, Puma L, Peluso D, Casablanca S, Ortile A, Iliceto S, Kang MK, Yu S, Park J, Kim S, Park T, Mun HS, C S, Cho SR, Han S, Lee N, Khalifa EA, Hamodraka E, Kallistratos M, Zacharopoulou I, Kouremenos N, Mavropoulos D, Tsoukas A, Kontogiannis N, Papanikolaou N, Tsoukanas K, Manolis A, Villagraz Tecedor L, Jimenez Lopez Guarch C, Alonso Chaterina S, Blazquez Arrollo L, Lopez Melgar B, Veitia Sarmiento A, Mayordomo Gomez S, Escribano Subias M, Lichodziejewska B, Kurnicka K, Goliszek S, Dzikowska Diduch O, Kostrubiec M, Krupa M, Grudzka K, Ciurzynski M, Palczewski P, Pruszczyk P, Sakata K, Ishiguro M, Kimura G, Uesugo Y, Takemoto K, Minamishima T, Futuya M, Matsue S, Satoh T, Yoshino H, Signorello M, Gianturco L, Colombo C, Stella D, Atzeni F, Boccassini L, Sarzi-Puttini P, Turiel M, Kinova E, Deliiska B, Krivoshiev S, Goudev A, De Stefano F, Santoro C, Buonauro A, Schiano-Lomoriello V, Muscariello R, De Palma D, Galderisi M, Ranganadha Babu B, Chidambaram S, Sangareddi V, Dhandapani V, Ravi M, Meenakshi K, Muthukumar D, Swaminathan N, Ravishankar G, Bruno RM, Giardini G, Catizzo B, Brustia R, Malacrida S, Armenia S, Cauchy E, Pratali L, Cesana F, Alloni M, Vallerio P, De Chiara B, Musca F, Belli O, Ricotta R, Siena S, Moreo A, Giannattasio C, Magnino C, Omede' P, Avenatti E, Presutti D, Sabia L, Moretti C, Bucca C, Gaita F, Veglio F, Milan A, Eichhorn J, Springer W, Helling A, Alarajab A, Loukanov T, Ikeda M, Kijima Y, Akagi T, Toh N, Oe H, Nakagawa K, Tanabe Y, Watanabe N, Ito H, Hascoet S, Hadeed K, Marchal P, Bennadji A, Peyre M, Dulac Y, Heitz F, Alacoque X, Chausseray G, Acar P, Kong W, Ling L, Yip J, Poh K, Vassiliou V, Rekhraj S, Hoole S, Watkinson O, Kydd A, Boyd J, Mcnab D, Densem C, Shapiro L, Rana B, Potpara T, Djikic D, Polovina M, Marcetic Z, Peric V, Lip G, Gaudron P, Niemann M, Herrmann S, Hu K, Strotmann J, Beer M, Bijnens B, Liu D, Ertl G, Weidemann F, Peric V, Jovanovic A, Djikic D, Otasevic P, Kochanowski J, Piatkowski R, Scislo P, Grabowski M, Marchel M, Opolski G, Bandera F, Guazzi M, Arena R, Corra U, Ghio S, Forfia P, Rossi A, Dini F, Cahalin L, Temporelli L, Rallidis L, Tsangaris I, Makavos G, Anthi A, Pappas A, Orfanos S, Lekakis J, Anastasiou-Nana M, Kuznetsov VA, Krinochkin DV, Yaroslavskaya EI, Zaharova EH, Pushkarev GS, Mizia-Stec K, Wita K, Mizia M, Loboz-Grudzien K, Szwed H, Kowalik I, Kukulski T, Gosciniak P, Kasprzak J, Plonska-Gosciniak E, Cimino S, Pedrizzetti G, Tonti G, Cicogna F, Petronilli V, De Luca L, Iacoboni C, Agati L, Hoffmann R, Barletta G, Von Bardeleben S, Kasprzak J, Greis C, Vanoverschelde J, Becher H, Galrinho A, Moura Branco L, Fiarresga A, Cacela D, Ramos R, Cruz Ferreira R, Van Den Oord S, Akkus Z, Bosch J, Renaud G, Sijbrands E, Verhagen H, Van Der Lugt A, Van Der Steen A, Schinkel A, Mordi I, Tzemos N, Stanton T, Delgado D, Yu E, Drakopoulou M, Gonzalez-Gonzalez A, Karonis T, Roussin I, Babu-Narayan S, Swan L, Senior R, Li W, Parisi V, Pagano G, Pellegrino T, Femminella G, De Lucia C, Formisano R, Cuocolo A, Perrone Filardi P, Leosco D, Rengo G, Unlu S, Farsalinos K, Amelot K, Daraban A, Ciarka A, Delcroix M, Voigt J, Miskovic A, Poerner T, Goebel B, Stiller C, Moritz A, Sakata K, Uesugo Y, Kimura G, Ishiguro M, Takemoto K, Minamishima T, Futuya M, Satoh T, Yoshino H, Miyoshi T, Tanaka H, Kaneko A, Matsumoto K, Imanishi J, Motoji Y, Mochizuki Y, Minami H, Kawai H, Hirata K, Wutthimanop A, See O, Vathesathokit P, Yamwong S, Sritara P, Rosner A, Kildal A, Stenberg T, Myrmel T, How O, Capriolo M, Frea S, Giustetto C, Scrocco C, Benedetto S, Grosso Marra W, Morello M, Gaita F, Garcia-Gonzalez P, Cozar-Santiago P, Chacon-Hernandez N, Ferrando-Beltran M, Fabregat-Andres O, De La Espriella-Juan R, Fontane-Martinez C, Jurado-Sanchez R, Morell-Cabedo S, Ridocci-Soriano F, Mihaila S, Piasentini E, Muraru D, Peluso D, Casablanca S, Puma L, Naso P, Iliceto S, Vinereanu D, Badano L, Tarzia P, Villano A, Figliozzi S, Russo G, Parrinello R, Lamendola P, Sestito A, Lanza G, Crea F, Sulemane S, Panoulas V, Bratsas A, Frankel A, Nihoyannopoulos P, Dores H, Andrade M, Almeida M, Goncalves P, Branco P, Gaspar A, Gomes A, Horta E, Carvalho M, Mendes M, Yue W, Li X, Chen Y, Luo Y, Gu P, Yiu K, Siu C, Tse H, Cho E, Lee S, Hwang B, Kim D, Jang S, Jeon H, Youn H, Kim J. Poster session Thursday 12 December - PM: 12/12/2013, 14:00-18:00 * Location: Poster area. Eur Heart J Cardiovasc Imaging 2013. [DOI: 10.1093/ehjci/jet204] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Nogues L, Salcedo A, Mendiola M, Hardisson D, Mayor F, Penela P. 330 G Protein-coupled Receptor Kinase 2 (GRK2) Contributes to Cellular Transformation and Breast Tumor Progression. Eur J Cancer 2012. [DOI: 10.1016/s0959-8049(12)71020-1] [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: 11/28/2022]
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Meeks C, Levy J, Crawford P, Farina L, Origgi F, Alleman R, Seddon O, Salcedo A, Hirsch B, Hirsch S. Chronic DisseminatedMycobacterium xenopiInfection in a Cat with Idiopathic CD4+ T Lymphocytopenia. J Vet Intern Med 2008; 22:1043-7. [DOI: 10.1111/j.1939-1676.2008.0108.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Cantón R, Cobos N, de Gracia J, Baquero F, Honorato J, Gartner S, Alvarez A, Salcedo A, Oliver A, García-Quetglas E. Antimicrobial therapy for pulmonary pathogenic colonisation and infection by Pseudomonas aeruginosa in cystic fibrosis patients. Clin Microbiol Infect 2005; 11:690-703. [PMID: 16104983 DOI: 10.1111/j.1469-0691.2005.01217.x] [Citation(s) in RCA: 112] [Impact Index Per Article: 5.9] [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: 01/21/2023]
Abstract
Pseudomonas aeruginosa colonisation has a negative effect on pulmonary function in cystic fibrosis patients. The organism can only be eradicated in the early stage of colonisation, while reduction of bacterial density is desirable during chronic colonisation or exacerbations. Monthly, or at least 3-monthly, microbiological culture is advisable for patients without previous evidence of P. aeruginosa colonisation. Cultures should be performed at least every 2-3 months in patients with well-established colonisation, and always during exacerbations or hospitalisations. Treatment of patients following the first isolation of P. aeruginosa, but with no clinical signs of colonisation, should be with oral ciprofloxacin (15-20 mg/kg twice-daily for 3-4 weeks) plus inhaled tobramycin or colistin (intravenous treatment with or without inhaled treatment can be used as an alternative), while patients with acute infection should be treated for 14-21 days with high doses of two intravenous antimicrobial agents, with or without an inhaled treatment during or at the end of the intravenous treatment. Maintenance treatment after development of chronic P. aeruginosa infection/colonisation (pathogenic colonisation) in stable patients (aged>6 years) should be with inhaled tobramycin (300 mg twice-daily) in 28-day cycles (on-off) or, as an alternative, colistin (1-3 million units twice-daily). Colistin is also a possible choice for patients aged<6 years. Treatment can be completed with oral ciprofloxacin (3-4 weeks every 3-4 months) for patients with mild pulmonary symptoms, or intravenously (every 3-4 months) for those with severe symptoms or isolates with ciprofloxacin resistance. Moderate and serious exacerbations can be treated with intravenous ceftazidime (50-70 mg/kg three-times-daily) or cefepime (50 mg/kg three-times-daily) plus tobramycin (5-10 mg/kg every 24 h) or amikacin (20-30 mg/kg every 24 h) for 2-3 weeks. Oral ciprofloxacin is recommended for patients with mild pulmonary disease. If multiresistant P. aeruginosa is isolated, antimicrobial agents that retain activity are recommended and epidemiological control measures should be established.
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Affiliation(s)
- R Cantón
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal, Madrid, Spain.
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Salcedo A, Girón RM, Beltrán B, Martínez A, Máiz L, Suárez L. Conferencia de consenso. Tratamiento antibiótico intravenoso domiciliario en la fibrosis quística. Arch Bronconeumol 2003. [DOI: 10.1157/13052134] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Salcedo A, Girón RM, Beltrán B, Martínez A, Máiz L, Suárez L. Conferencia de consenso. Tratamiento antibiótico intravenoso domiciliario en la fibrosis quística. Arch Bronconeumol 2003; 39:469-75. [PMID: 14533997 DOI: 10.1016/s0300-2896(03)75430-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- A Salcedo
- Sección de Neumología. Unidad de Fibrosis Quística. Hospital Infantil Universitario Niño Jesús. Madrid. Spain
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Máiz L, Baranda F, Coll R, Prados C, Vendrell M, Escribano A, Gartner S, de Gracia S, Martínez M, Salcedo A, Vázquez C. [SEPAR (Spanish Society of Pneumology and Thoracic Surgery) Guidelines. Guideline for diagnosis and treatment of respiratory involvements in cystic fibrosis]. Arch Bronconeumol 2001; 37:316-24. [PMID: 11562317 DOI: 10.1016/s0300-2896(01)75101-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- L Máiz
- Servicios de Neumología. Hospital Ramón y Cajal. Madrid. España.
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Affiliation(s)
- I Lekuona
- So Cardiologia del Hospital Galdakao, Servicio Vasco de Salud-Osakidetza, Vizcaya, Spain.
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Prados C, Máiz L, Antelo C, Baranda F, Blázquez J, Borro JM, Gartner S, Garzón G, Girón R, de Gracia J, Lago J, Lama R, Martínez MT, Moreno A, Oliveira C, Pérez Frías J, Solé A, Salcedo A. [Cystic fibrosis: consensus on the treatment of pneumothorax and massive hemoptysis and on the indications for lung transplantation]. Arch Bronconeumol 2000; 36:411-6. [PMID: 11000930 DOI: 10.1016/s0300-2896(15)30141-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- C Prados
- Servicio de Neumología, Hospital La Paz, Madrid
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García-García ML, Torres M, Correa D, Flisser A, Sosa-Lechuga A, Velasco O, Meza-Lucas A, Plancarte A, Avila G, Tapia R, Aguilar L, Mandujano A, Alcántara I, Morales Z, Salcedo A, Mañon MD, Valdespino-Gomez JL. Prevalence and risk of cysticercosis and taeniasis in an urban population of soldiers and their relatives. Am J Trop Med Hyg 1999; 61:386-9. [PMID: 10497976 DOI: 10.4269/ajtmh.1999.61.386] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.0] [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: 11/07/2022] Open
Abstract
To determine markers of Taenia solium transmission and risk factors in an urban community, we studied 1,000 soldiers from a military camp in Mexico City and their relatives. Serum samples were used to detect antigens and antibodies and fecal specimens were examined for Taenia coproantigens and helminth eggs. Prevalences of 12.2% and 5.8% for cysticercosis were found among soldiers and their relatives, respectively. Taeniasis was found in 0.5% and none of the groups, respectively. Relatives of soldiers positive for cysticercosis and taeniasis markers ate more pork from street stores than restaurants or markets compared with relatives of soldiers without these indicators of infection. Also, 12.0% of the relatives of positive soldiers had a history of expelling tapeworm proglottids in the feces in contrast to 3.7% of the family members of the control group. Prevalence values and risk factors in this urban population are similar to those of previous studies performed in rural populations.
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Affiliation(s)
- M L García-García
- Instituto Nacional de Salud Pública, Secretaria de Salud, Cuernavaca Morelos, Mexico
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Lekuona I, Laraudogoitia E, Palomar S, Salcedo A, Zumalde J, Morillas M. [Atherosclerotic coronary ectasia or a lymphomucocutaneous syndrome in an adult (Kawasaki's disease)?]. Rev Esp Cardiol 1999; 52:63-6. [PMID: 9989142 DOI: 10.1016/s0300-8932(99)74870-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [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: 11/25/2022]
Abstract
We report the case of a 42-year-old man, who was admitted to hospital with an inferior myocardial infarction. He was treated with tissue plasminogen activator without complications in the acute phase. The stress testing performed before discharge showed residual myocardial ischemia. A catheterization study was indicated. The coronary angiogram demonstrated diffuse three vessel coronary artery aneurysmal disease. Two years before the patient had an aneurysm of the right iliac artery being operated on. The differential diagnosis of adult aneurysmal coronary disease is discussed with emphasis on Kawasaki's disease and atherosclerotic coronary artery ectasia.
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Affiliation(s)
- I Lekuona
- Servicio de Cardiología, Hospital de Galdakao, Vizcaya.
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Affiliation(s)
- A Salcedo
- Unidad de Fibrosis Quística, Hospital Infantil Niño Jesús, Madrid
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Laraudogoitia E, Evangelista A, García del Castillo H, Lekuona I, Palomar S, González-Alujas T, Salcedo A. [Thrombus in the thoracic aorta as cause of peripheral embolism diagnosed using transesophageal echocardiography]. Rev Esp Cardiol 1997; 50:62-4. [PMID: 9053950 DOI: 10.1016/s0300-8932(97)73178-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [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: 02/03/2023]
Abstract
The authors report the cases of two patients, with no risk factors for thromboembolism, in whom a mobile thrombus of the thoracic aorta was diagnosed by transesophageal echocardiography, after an episode of systemic embolism. The outcomes of the two cases were very different. In one patient the thrombus was no longer present after anticoagulant treatment with no recurrent embolic event. The other patient had a new embolic event and the thrombus persisted while having anticoagulant therapy. This patient underwent surgery, and the thrombus was removed. These cases illustrate the value of transesophageal echocardiography in the detection of embolic source.
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Hernando A, Navarro I, Prados C, García D, Lesmes F, Freijo J, Salcedo A. Curie temperature enhancement of ferromagnetic phases in nanoscale heterogeneous systems. ACTA ACUST UNITED AC 1997. [DOI: 10.1016/s0965-9773(97)00100-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Salcedo A, Echevarría P, Molinero E, Sagastagoitia D, Aguirre JM, Iriarte MM, Laka Mugarza JP. [Risk factors in stable coronary disease. Relationship with ischemic threshold and prognostic implications]. Med Clin (Barc) 1996; 106:372-7. [PMID: 8637276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND To assess the clinical evolution, in a 5-year follow-up, of the development of acute coronary syndromes, in patients with angina clinically stable, establishing its relationship with the ischemic threshold (IT) and the main modifiable cardiovascular risk factors. PATIENTS AND METHODS 120 patients, 86 males (71%), with an age of 57 +/- 8 years, with stable angina. The presence of smoking, hypercholesterolemia, hypertension and diabetes mellitus was evaluated. We performed exercise testings (baseline and after vasodilator drugs) in the beginning, in order to characterize the IT (which was fixed in 72 patients and variable in 48). The later group underwent exercise testing each term during the first year of follow-up. Lesion at least of 70% in a main coronary vessel was required as inclusion criteria. The development of acute myocardial infarction (AMI), unstable angina pectoris and cardiac death was recorded. Cox's hazard function analysis and multivariant analysis were applied. RESULTS 106 patients (88%) had one or more risk factors (40% hypertension, 43% hypercholesterolemia, 22% diabetes mellitus and 56% were smokers or ex-smokers). A significant association was shown between male gender and smoking and diabetes mellitus and female gender. 6 cardiac deaths, 8 AMI and 9 unstable angina were recorded. Within the 72 patients with fixed IT, 12.5% (9) suffered some acute syndrome. In the 48 with variable IT, in the 30 who continued in it, 20% (6) developed acute coronary pathology and in the 18 who modified their IT to fixed, the prevalence was 44.5% (8). Patients with modification of IT to fixed had a higher risk of acute coronary syndrome in the follow-up (p < 0.01) and the presence of hypertension and hypercholesterolemia allowed the prediction of modification of the IT. CONCLUSIONS The prevalence of cardiovascular risk factors in the stable coronary artery disease is high (88%); male gender is associated smoking and female gender to diabetes mellitus. The presence of hypertension and hypercholesterolemia are associated to modification in the IT in patients with variable threshold, allowing the detection of a subgroup of high risk for the development of acute coronary pathology.
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Affiliation(s)
- A Salcedo
- Sección de Cardiología Hospital de Galdakao, Vizcaya
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Iriarte M, Murga N, Sagastagoitia D, Morillas M, Boveda J, Molinero E, Etxebeste J, Salcedo A, Rodriguez E, Ormaetxe JM. Classification of hypertensive cardiomyopathy. Eur Heart J 1993; 14 Suppl J:95-101. [PMID: 8281972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
A clinical pathophysiological classification of hypertensive cardiomyopathy has been established on the basis of the degree to which the heart is affected by chronic, systemic arterial hypertension: Degree I: Asymptomatic patients without left ventricular hypertrophy but with left ventricular diastolic dysfunction according to Doppler mitral inversion relation (E/A < 0.9) or to gamma scintigraphy (peak filling rate reduction < or = 2.7 EDC.s-1. These patients are classified as Group 1. Degree II: Asymptomatic or mildly symptomatic patients (New York Heart Association class I) with echocardiographic left ventricular hypertrophy; classified as Group IIA or IIB according to whether weight-adjusted maximal oxygen uptake is normal or below normal, respectively. Degree III: The basic characteristic is the presence of congestive heart failure with normal ejection fraction (EF > or = 50%). Two subsets can be distinguished on the basis of degree of hypertrophy: Group IIIA, with a mass/volume index > 1.8, and IIIB with a mass/volume index < 1.8. The differences between the two are as follows: patients classified as IIIA had a lower rate of regional ischaemia, a higher ejection fraction, a more frequently audible fourth sound, rarely a third sound and a cardiothoracic ratio < 0.5; IIIB patients had a higher prevalence of regional ischaemia (thallium-positive), a frequently audible third sound and a cardiothoracic ratio > 0.5. Degree IV: This category is characterized by the presence of depressed contractility, which could cause heart failure, by an ejection fraction < 50% and an increase in ventricular volumes. Echocardiography shows increased distance between mitral point E and the septum.
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Affiliation(s)
- M Iriarte
- University of the Basque Country Institute of Cardiology, Hospital Civil de Basurto, Bilbao (Bizkaia), Spain
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Salcedo A, Lekuona I, Laraudogoitia E, Echevarría P, Madariaga JA, Palomar S, Zumalde J, Barrenetxea JI. [The effect of antihypertensive therapy on left ventricular mass and diastolic filling in light and moderate hypertension]. Med Clin (Barc) 1993; 100:646-50. [PMID: 8497169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND To valorate the effect of four antihypertensive drugs on the regression of cardiac mass and diastolic function, by echocardiography-Doppler, in not treated hypertensive subjects. METHODS 60 mild-moderate hypertensive subjects were studied randomized in four groups of 15 patients each one: enalapril (10-40 mg/d), atenolol (25-100 mg/d), verapamil-retard (120-240 mg/d), alphametildopa (250 mg/8h to 3 g/d). The active drug therapy phase was 6 months, performing echo-Doppler, evaluating posterior-wall and septal-wall thicknesses, ventricular mass index, ratio of early to atrial peak diastolic filling velocity (E/A), the first-third filling fraction and atrial filling fraction. RESULTS The cardiac mass index decreased with the four drugs: with enalapril from 178 +/- 28 to 155 +/- 29 g/m2 (p < 0.05), with atenolol from 170 +/- 23 to 154 +/- 19 g/m2 (p < 0.05), with verapamil from 180 +/- 27 to 159 +/- 22 g/m2 (p < 0.05) and with alphametildopa from 176 +/- 30 to 142 +/- 22 g/m2 (p < 0.01). The E/A ratio and first-third filling fraction only improved in the atenolol subgroup, from 0.79 +/- 0.13 to 0.97 +/- 0.16 (p < 0.01) and from 36 +/- 5 to 44 +/- 9% (p < 0.01), decreasing atrial filling fraction from 37 +/- 6 to 30 +/- 8% (p < 0.01), without modifying with enalapril (0.74 +/- 0.14 to 0.76 +/- 0.20, 35 +/- 5% to 36 +/- 7%, 38 +/- 5 to 39 +/- 7%, p = NS), verapamil (0.69 +/- 0.12 to 0.74 +/- 0.17, 35 +/- 6% to 36 +/- 8% to 40 +/- 12%, p = NS) neither alphametildopa (0.72 +/- 0.14 to 0.71 +/- 0.21, 34 +/- 5% to 35 +/- 7%, 40 +/- 6% to 41 +/- 9%, p = NS). The heart rate decreased more with atenolol than with the other drugs (61 +/- 15 vs 71 +/- 12, p < 0.01). CONCLUSIONS In hypertensive patients the decreasing of cardiac mass is not accompanied of improvement of the diastolic function except in patients treated with atenolol, probably due to bradycardia.
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Affiliation(s)
- A Salcedo
- Sección de Cardiología, Hospital de Galdakao, Vizcaya
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Iriarte M, Molinero E, Sagastagoitia JD, Arzubiaga J, Aguirre J, Salcedo A. Usefulness of exercise testing performed with vasodilators for predicting the severity of myocardial ischaemia during daily activities and treatment. Eur Heart J 1993; 14:380-7. [PMID: 8458358 DOI: 10.1093/eurheartj/14.3.380] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Fifty patients (aged 53 +/- 7 years) with confirmed coronary disease performed two stress tests (baseline and following treatment with vasodilators) and were divided into two groups: (A) fixed ischaemic threshold (n = 27), and (B) variable ischaemic threshold (n = 23). All patients underwent 24-h baseline Holter monitoring and monitoring following treatment with nifedipine, placebo, propranolol and nifedipine + propranolol. In Group A, 92% of ischaemic episodes occurred at heart rates similar to those found during exercise testing. In Group B, the heart rate was lower in 66%. In Group A, positive stress testing before the first 3 min of exercise, or at < 140 beat,min-1 with ST segment depressions > or = 0.02 mV, correlated with higher Holter indexes. In Group A, propranolol reduced both the number of episodes and total ischaemia time. In Group B, the best effects were achieved with nifedipine and combined treatment. Our results further emphasize the contrasts between patients with angina and fixed and variable ischaemic thresholds and suggest that therapy tailored to the physiopathology may be most efficacious.
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Affiliation(s)
- M Iriarte
- Institute of Cardiology, Hospital Civil de Basurto, Bilbao, Spain
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Iriarte M, Murga N, Sagastagoitia D, Molinero E, Morillas M, Salcedo A, Estella P, Etxebeste J. Congestive heart failure from left ventricular diastolic dysfunction in systemic hypertension. Am J Cardiol 1993; 71:308-12. [PMID: 8427173 DOI: 10.1016/0002-9149(93)90796-f] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Previous studies have pointed out that congestive heart failure (CHF) with normal ejection fraction presents a uniform clinical profile that is indistinguishable from heart failure with low ejection fraction. Thirty-six patients with systemic hypertension who had recently experienced CHF with normal ejection fraction (> or = 50%) and no clinical history of ischemic cardiomyopathy were studied. The patients were divided into 2 groups according to degree of echocardiographic hypertrophy: group A (19 patients) with a ventricular mass/volume ratio > 1.8, and group B (17 patients) with a ratio < 1.8. Group A patients had a higher ejection fraction (67 +/- 6 vs 57 +/- 3%, p < 0.01), smaller ventricular diameters and a lower thallium-201 positive rate at peak stress (10 vs 70% in group B, p < 0.001), with 8 of 10 showing severe coronary stenosis. Clinically, group A had a more frequent audible fourth sound (79 vs 17%, p < 0.001), a low incidence of audible third sound (5 vs 55%, p < 0.001) and a cardiothoracic ratio < or = 0.5 (63 vs 17%, p < 0.01). The degree of radionuclide-detected resting diastolic dysfunction and exercise intolerance was similar in both groups. In conclusion, CHF with normal ejection fraction in hypertensive patients presents 2 different profiles: one characterized by severe hypertrophy and the other by a high rate of myocardial regional ischemia. Therapy should be aimed at pathophysiologic regression of the hypertrophy in the first case, and at improvement of the ischemia in the second.
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Affiliation(s)
- M Iriarte
- University of the Basque Country, Institute of Cardiology, Hospital Civil de Basurto, Bilbao (Bizkaia), Spain
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