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Robertson AJ, Tran KA, Bennett C, Sullivan C, Stark Z, Vadlamudi L, Waddell N. Clinically significant changes in genes and variants associated with epilepsy over time: implications for re-analysis. Sci Rep 2024; 14:7717. [PMID: 38565608 PMCID: PMC10987647 DOI: 10.1038/s41598-024-57976-1] [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: 12/06/2023] [Accepted: 03/23/2024] [Indexed: 04/04/2024] Open
Abstract
Despite the significant advances in understanding the genetic architecture of epilepsy, many patients do not receive a molecular diagnosis after genomic testing. Re-analysing existing genomic data has emerged as a potent method to increase diagnostic yields-providing the benefits of genomic-enabled medicine to more individuals afflicted with a range of different conditions. The primary drivers for these new diagnoses are the discovery of novel gene-disease and variants-disease relationships; however, most decisions to trigger re-analysis are based on the passage of time rather than the accumulation of new knowledge. To explore how our understanding of a specific condition changes and how this impacts re-analysis of genomic data from epilepsy patients, we developed Vigelint. This approach combines the information from PanelApp and ClinVar to characterise how the clinically relevant genes and causative variants available to laboratories change over time, and this approach to five clinical-grade epilepsy panels. Applying the Vigelint pipeline to these panels revealed highly variable patterns in new, clinically relevant knowledge becoming publicly available. This variability indicates that a more dynamic approach to re-analysis may benefit the diagnosis and treatment of epilepsy patients. Moreover, this work suggests that Vigelint can provide empirical data to guide more nuanced, condition-specific approaches to re-analysis.
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Affiliation(s)
- Alan J Robertson
- Faculty of Medicine, University of Queensland, Brisbane, Australia.
- Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
- Queensland Digital Health Centre, University of Queensland, Brisbane, Australia.
- The Genomic Institute, Department of Health, Queensland Government, Brisbane, Australia.
| | - Khoa A Tran
- Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia
| | - Carmen Bennett
- UQ Centre for Clinical Research, Herston, Brisbane, QLD, 4029, Australia
- Department of Neurology, Royal Brisbane & Women's Hospital, Herston, Brisbane, QLD, 4029, Australia
| | - Clair Sullivan
- Faculty of Medicine, University of Queensland, Brisbane, Australia
- Queensland Digital Health Centre, University of Queensland, Brisbane, Australia
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Woolloongabba, Australia
- Department of Health, Metro North Hospital and Health Service, Queensland Government, Brisbane, Australia
| | - Zornitza Stark
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Australian Genomics, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
| | - Lata Vadlamudi
- UQ Centre for Clinical Research, Herston, Brisbane, QLD, 4029, Australia
- Department of Neurology, Royal Brisbane & Women's Hospital, Herston, Brisbane, QLD, 4029, Australia
| | - Nicola Waddell
- Faculty of Medicine, University of Queensland, Brisbane, Australia.
- Medical Genomics Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
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Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, Spellman PT, Wedge DC, Van Loo P, Tarabichi M, Wintersinger J, Deshwar AG, Yu K, Gonzalez S, Rubanova Y, Macintyre G, Adams DJ, Anur P, Beroukhim R, Boutros PC, Bowtell DD, Campbell PJ, Cao S, Christie EL, Cmero M, Cun Y, Dawson KJ, Demeulemeester J, Donmez N, Drews RM, Eils R, Fan Y, Fittall M, Garsed DW, Getz G, Ha G, Imielinski M, Jerman L, Ji Y, Kleinheinz K, Lee J, Lee-Six H, Livitz DG, Malikic S, Markowetz F, Martincorena I, Mitchell TJ, Mustonen V, Oesper L, Peifer M, Peto M, Raphael BJ, Rosebrock D, 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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, Shepherd R, Shi R, Zhu S, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Awadalla P, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Creighton CJ, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Meyerson M, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Ouellette BFF, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Wu K, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Yang H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Göke J, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, 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, Yang Y, Yao X, Yaspo ML, Adams DJ, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Agrawal N, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ahn KS, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Ahn SM, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Aikata H, 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, Akbani R, von Mering C, 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, 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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, 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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. 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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Robertson AJ, Tan NB, Spurdle AB, Metke-Jimenez A, Sullivan C, Waddell N. Re-analysis of genomic data: An overview of the mechanisms and complexities of clinical adoption. Genet Med 2022; 24:798-810. [PMID: 35065883 DOI: 10.1016/j.gim.2021.12.011] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 12/15/2021] [Accepted: 12/16/2021] [Indexed: 12/20/2022] Open
Abstract
Re-analyzing genomic information from a patient suspected of having an underlying genetic condition can improve the diagnostic yield of sequencing tests, potentially providing significant benefits to the patient and to the health care system. Although a significant number of studies have shown the clinical potential of re-analysis, less work has been performed to characterize the mechanisms responsible for driving the increases in diagnostic yield. Complexities surrounding re-analysis have also emerged. The terminology itself represents a challenge because "re-analysis" can refer to a range of different concepts. Other challenges include the increased workload that re-analysis demands of curators, adequate reimbursement pathways for clinical and diagnostic services, and the development of systems to handle large volumes of data. Re-analysis also raises ethical implications for patients and families, most notably when re-classification of a variant alters diagnosis, treatment, and prognosis. This review highlights the possibilities and complexities associated with the re-analysis of existing clinical genomic data. We propose a terminology that builds on the foundation presented in a recent statement from the American College of Medical Genetics and Genomics and describes each re-analysis process. We identify mechanisms for increasing diagnostic yield and provide perspectives on the range of challenges that must be addressed by health care systems and individual patients.
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Affiliation(s)
- Alan J Robertson
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Queensland, Australia; The Genomic Institute, Department of Health, Queensland Government, Brisbane, Queensland, Australia
| | - Natalie B Tan
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Clair Sullivan
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia; Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Queensland, Australia; Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia; Metro North Hospital and Health Service, Department of Health, Queensland Government, Brisbane, Queensland, Australia
| | - Nicola Waddell
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
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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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Chen W, Robertson AJ, Ganesamoorthy D, Coin LJM. sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors. Nucleic Acids Res 2017; 45:e34. [PMID: 27903916 PMCID: PMC5389684 DOI: 10.1093/nar/gkw1086] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 10/26/2016] [Indexed: 02/03/2023] Open
Abstract
Accurate identification of copy number alterations is an essential step in understanding the events driving tumor progression. While a variety of algorithms have been developed to use high-throughput sequencing data to profile copy number changes, no tool is able to reliably characterize ploidy and genotype absolute copy number from tumor samples that contain less than 40% tumor cells. To increase our power to resolve the copy number profile from low-cellularity tumor samples, we developed a novel approach that pre-phases heterozygote germline single nucleotide polymorphisms (SNPs) in order to replace the commonly used ‘B-allele frequency’ with a more powerful ‘parental-haplotype frequency’. We apply our tool—sCNAphase—to characterize the copy number and loss-of-heterozygosity profiles of four publicly available breast cancer cell-lines. Comparisons to previous spectral karyotyping and microarray studies revealed that sCNAphase reliably identified overall ploidy as well as the individual copy number mutations from each cell-line. Analysis of artificial cell-line mixtures demonstrated the capacity of this method to determine the level of tumor cellularity, consistently identify sCNAs and characterize ploidy in samples with as little as 10% tumor cells. This novel methodology has the potential to bring sCNA profiling to low-cellularity tumors, a form of cancer unable to be accurately studied by current methods.
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Affiliation(s)
- Wenhan Chen
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, 4072, Australia
| | - Alan J Robertson
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, 4072, Australia
| | - Devika Ganesamoorthy
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, 4072, Australia
| | - Lachlan J M Coin
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, 4072, Australia
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Jiang S, Robertson T, Mostajeran M, Robertson AJ, Qiu X. Differential gene expression of two extreme honey bee (Apis mellifera) colonies showing varroa tolerance and susceptibility. Insect Mol Biol 2016; 25:272-282. [PMID: 26919127 DOI: 10.1111/imb.12217] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Varroa destructor, an ectoparasitic mite of honey bees (Apis mellifera), is the most serious pest threatening the apiculture industry. In our honey bee breeding programme, two honey bee colonies showing extreme phenotypes for varroa tolerance/resistance (S88) and susceptibility (G4) were identified by natural selection from a large gene pool over a 6-year period. To investigate potential defence mechanisms for honey bee tolerance to varroa infestation, we employed DNA microarray and real time quantitative (PCR) analyses to identify differentially expressed genes in the tolerant and susceptible colonies at pupa and adult stages. Our results showed that more differentially expressed genes were identified in the tolerant bees than in bees from the susceptible colony, indicating that the tolerant colony showed an increased genetic capacity to respond to varroa mite infestation. In both colonies, there were more differentially expressed genes identified at the pupa stage than at the adult stage, indicating that pupa bees are more responsive to varroa infestation than adult bees. Genes showing differential expression in the colony phenotypes were categorized into several groups based on their molecular functions, such as olfactory signalling, detoxification processes, exoskeleton formation, protein degradation and long-chain fatty acid metabolism, suggesting that these biological processes play roles in conferring varroa tolerance to naturally selected colonies. Identification of differentially expressed genes between the two colony phenotypes provides potential molecular markers for selecting and breeding varroa-tolerant honey bees.
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Affiliation(s)
- S Jiang
- Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada
| | - T Robertson
- Meadow Ridge Enterprises Ltd, Saskatoon, SK, Canada
| | - M Mostajeran
- Meadow Ridge Enterprises Ltd, Saskatoon, SK, Canada
| | | | - X Qiu
- Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada
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Robertson AJ, Struthers AD. A Randomized Controlled Trial of Allopurinol in Patients With Peripheral Arterial Disease. Can J Cardiol 2015; 32:190-6. [PMID: 26277090 PMCID: PMC4742517 DOI: 10.1016/j.cjca.2015.05.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [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: 04/13/2015] [Revised: 05/05/2015] [Accepted: 05/14/2015] [Indexed: 01/22/2023] Open
Abstract
Background Patients with peripheral arterial disease (PAD) are limited by intermittent claudication in the distance they can walk. Allopurinol has been shown in coronary arterial disease to prolong exercise before angina occurs, likely by prevention of oxygen wastage in tissues and reduction of harmful oxidative stress. Methods In this study we evaluated whether allopurinol could prolong the time to development of leg pain in participants with PAD. In a double-blind, randomized controlled clinical trial participants were randomized to receive either allopurinol 300 mg twice daily or placebo for 6 months. The primary outcome was change in exercise capacity on treadmill testing at 6 months. Secondary outcomes were 6-minute walking distance, Walking Impairment Questionnaire, SF-36 questionnaire, flow-mediated dilatation, and oxidized low-density lipoprotein. Outcome measures were repeated midstudy and at the end of study. The mean age of the 50 participants was 68.4 ± 1.2 years with 39 of 50 (78%) male. Results Five participants withdrew during the study (2 active, 3 placebo). There was a significant reduction in uric acid levels in those who received active treatment of 52.1% (P < 0.001), but no significant change in either the pain-free or the maximum walking distance. Other measures of exercise capacity, blood vessel function, and the participants' own assessment of their health and walking ability also did not change during the course of the study. Conclusions Although allopurinol has been shown to be of benefit in a number of other diseases, in this study there was no evidence of any improvement after treatment in patients with PAD.
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Affiliation(s)
- Alan J Robertson
- Division of Cardiovascular and Diabetes Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, United Kingdom.
| | - Allan D Struthers
- Division of Cardiovascular and Diabetes Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, United Kingdom
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Waddell N, Pajic M, Patch AM, Chang DK, Kassahn KS, Bailey P, Johns AL, Miller D, Nones K, Quek K, Quinn MCJ, Robertson AJ, Fadlullah MZH, Bruxner TJC, Christ AN, Harliwong I, Idrisoglu S, Manning S, Nourse C, Nourbakhsh E, Wani S, Wilson PJ, Markham E, Cloonan N, Anderson MJ, Fink JL, Holmes O, Kazakoff SH, Leonard C, Newell F, Poudel B, Song S, Taylor D, Waddell N, Wood S, Xu Q, Wu J, Pinese M, Cowley MJ, Lee HC, Jones MD, Nagrial AM, Humphris J, Chantrill LA, Chin V, Steinmann AM, Mawson A, Humphrey ES, Colvin EK, Chou A, Scarlett CJ, Pinho AV, Giry-Laterriere M, Rooman I, Samra JS, Kench JG, Pettitt JA, Merrett ND, Toon C, Epari K, Nguyen NQ, Barbour A, Zeps N, Jamieson NB, Graham JS, Niclou SP, Bjerkvig R, Grützmann R, Aust D, Hruban RH, Maitra A, Iacobuzio-Donahue CA, Wolfgang CL, Morgan RA, Lawlor RT, Corbo V, Bassi C, Falconi M, Zamboni G, Tortora G, Tempero MA, Gill AJ, Eshleman JR, Pilarsky C, Scarpa A, Musgrove EA, Pearson JV, Biankin AV, Grimmond SM. Whole genomes redefine the mutational landscape of pancreatic cancer. Nature 2015; 518:495-501. [PMID: 25719666 PMCID: PMC4523082 DOI: 10.1038/nature14169] [Citation(s) in RCA: 1771] [Impact Index Per Article: 196.8] [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: 05/24/2014] [Accepted: 12/18/2014] [Indexed: 12/13/2022]
Abstract
Pancreatic cancer remains one of the most lethal of malignancies and a major health burden. We performed whole-genome sequencing and copy number variation (CNV) analysis of 100 pancreatic ductal adenocarcinomas (PDACs). Chromosomal rearrangements leading to gene disruption were prevalent, affecting genes known to be important in pancreatic cancer (TP53, SMAD4, CDKN2A, ARID1A and ROBO2) and new candidate drivers of pancreatic carcinogenesis (KDM6A and PREX2). Patterns of structural variation (variation in chromosomal structure) classified PDACs into 4 subtypes with potential clinical utility: the subtypes were termed stable, locally rearranged, scattered and unstable. A significant proportion harboured focal amplifications, many of which contained druggable oncogenes (ERBB2, MET, FGFR1, CDK6, PIK3R3 and PIK3CA), but at low individual patient prevalence. Genomic instability co-segregated with inactivation of DNA maintenance genes (BRCA1, BRCA2 or PALB2) and a mutational signature of DNA damage repair deficiency. Of 8 patients who received platinum therapy, 4 of 5 individuals with these measures of defective DNA maintenance responded.
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Affiliation(s)
- Nicola Waddell
- 1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] QIMR Berghofer Medical Research Institute, Herston Road, Brisbane 4006, Australia
| | - Marina Pajic
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, New South Wales 2010, Australia
| | - Ann-Marie Patch
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - David K Chang
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] Department of Surgery, Bankstown Hospital, Eldridge Road, Bankstown, Sydney, New South Wales 2200, Australia [3] South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, New South Wales 2170, Australia [4] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
| | - Karin S Kassahn
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Peter Bailey
- 1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
| | - Amber L Johns
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - David Miller
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Katia Nones
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Kelly Quek
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Michael C J Quinn
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Alan J Robertson
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Muhammad Z H Fadlullah
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Tim J C Bruxner
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Angelika N Christ
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Ivon Harliwong
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Senel Idrisoglu
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Suzanne Manning
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Craig Nourse
- 1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
| | - Ehsan Nourbakhsh
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Shivangi Wani
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Peter J Wilson
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Emma Markham
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Nicole Cloonan
- 1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] QIMR Berghofer Medical Research Institute, Herston Road, Brisbane 4006, Australia
| | - Matthew J Anderson
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - J Lynn Fink
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Oliver Holmes
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Stephen H Kazakoff
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Conrad Leonard
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Felicity Newell
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Barsha Poudel
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Sarah Song
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Darrin Taylor
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Nick Waddell
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Scott Wood
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Qinying Xu
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Jianmin Wu
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Mark Pinese
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Mark J Cowley
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Hong C Lee
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Marc D Jones
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
| | - Adnan M Nagrial
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Jeremy Humphris
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Lorraine A Chantrill
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Venessa Chin
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Angela M Steinmann
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Amanda Mawson
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Emily S Humphrey
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Emily K Colvin
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Angela Chou
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] Department of Anatomical Pathology, St Vincent's Hospital, Sydney, New South Wales 2010, Australia
| | - Christopher J Scarlett
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] School of Environmental &Life Sciences, University of Newcastle, Ourimbah, New South Wales 2258, Australia
| | - Andreia V Pinho
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Marc Giry-Laterriere
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Ilse Rooman
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Jaswinder S Samra
- 1] Department of Surgery, Royal North Shore Hospital, St Leonards, Sydney, New South Wales 2065, Australia [2] University of Sydney, Sydney, New South Wales 2006, Australia
| | - James G Kench
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] University of Sydney, Sydney, New South Wales 2006, Australia [3] Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales 2050, Australia
| | - Jessica A Pettitt
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Neil D Merrett
- 1] Department of Surgery, Bankstown Hospital, Eldridge Road, Bankstown, Sydney, New South Wales 2200, Australia [2] School of Medicine, University of Western Sydney, Penrith, New South Wales 2175, Australia
| | - Christopher Toon
- The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Krishna Epari
- Department of Surgery, Fremantle Hospital, Alma Street, Fremantle, Western Australia 6160, Australia
| | - Nam Q Nguyen
- Department of Gastroenterology, Royal Adelaide Hospital, North Terrace, Adelaide, South Australia 5000, Australia
| | - Andrew Barbour
- Department of Surgery, Princess Alexandra Hospital, Ipswich Rd, Woollongabba, Queensland 4102, Australia
| | - Nikolajs Zeps
- 1] School of Surgery M507, University of Western Australia, 35 Stirling Highway, Nedlands 6009, Australia [2] St John of God Pathology, 12 Salvado Rd, Subiaco, Western Australia 6008, Australia [3] Bendat Family Comprehensive Cancer Centre, St John of God Subiaco Hospital, Subiaco, Western Australia 6008, Australia
| | - Nigel B Jamieson
- 1] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK [2] Academic Unit of Surgery, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow G4 OSF, UK [3] West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow G31 2ER, UK
| | - Janet S Graham
- 1] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK [2] Department of Medical Oncology, Beatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK
| | - Simone P Niclou
- Norlux Neuro-Oncology Laboratory, CRP-Santé Luxembourg, 84 Val Fleuri, L-1526, Luxembourg
| | - Rolf Bjerkvig
- Norlux Neuro-Oncology, Department of Biomedicine, University of Bergen, Jonas Lies vei 91, N-5019 Bergen, Norway
| | - Robert Grützmann
- Departments of Surgery and Pathology, TU Dresden, Fetscherstr. 74, 01307 Dresden, Germany
| | - Daniela Aust
- Departments of Surgery and Pathology, TU Dresden, Fetscherstr. 74, 01307 Dresden, Germany
| | - Ralph H Hruban
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
| | - Anirban Maitra
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston Texas 77030, USA
| | - Christine A Iacobuzio-Donahue
- The David M. Rubenstein Pancreatic Cancer Research Center and Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Christopher L Wolfgang
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
| | - Richard A Morgan
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
| | - Rita T Lawlor
- 1] ARC-NET Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona 37134, Italy [2] Department of Pathology and Diagnostics, University of Verona, Verona 37134, Italy
| | - Vincenzo Corbo
- ARC-NET Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona 37134, Italy
| | - Claudio Bassi
- Department of Surgery and Oncology, Pancreas Institute, University and Hospital Trust of Verona, Verona 37134, Italy
| | - Massimo Falconi
- 1] Department of Surgery and Oncology, Pancreas Institute, University and Hospital Trust of Verona, Verona 37134, Italy [2] Departments of Surgery and Pathology, Ospedale Sacro Cuore Don Calabria Negrar, Verona 37024, Italy
| | - Giuseppe Zamboni
- 1] Department of Pathology and Diagnostics, University of Verona, Verona 37134, Italy [2] Departments of Surgery and Pathology, Ospedale Sacro Cuore Don Calabria Negrar, Verona 37024, Italy
| | - Giampaolo Tortora
- Department of Oncology, University and Hospital Trust of Verona, Verona 37134, Italy
| | - Margaret A Tempero
- Division of Hematology and Oncology, University of California, San Francisco, California 94122, USA
| | - Anthony J Gill
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] University of Sydney, Sydney, New South Wales 2006, Australia
| | - James R Eshleman
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA
| | - Christian Pilarsky
- Departments of Surgery and Pathology, TU Dresden, Fetscherstr. 74, 01307 Dresden, Germany
| | - Aldo Scarpa
- 1] ARC-NET Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona 37134, Italy [2] Department of Pathology and Diagnostics, University of Verona, Verona 37134, Italy
| | - Elizabeth A Musgrove
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
| | - John V Pearson
- 1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] QIMR Berghofer Medical Research Institute, Herston Road, Brisbane 4006, Australia
| | - Andrew V Biankin
- 1] The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia [2] Department of Surgery, Bankstown Hospital, Eldridge Road, Bankstown, Sydney, New South Wales 2200, Australia [3] South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, New South Wales 2170, Australia [4] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
| | - Sean M Grimmond
- 1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK
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11
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Parham DM, Anderson N, Buley I, Pinder SE, Robertson AJ, Wells C, Alexander J, Hussein KA, Kissen L, Lesna M, McCutcheon J, Nicholas DS, Rasbridge SA, D'Sousa L, van der Horst C, Haider S, Hickling M. Experts and performance in histopathology--a study in breast pathology. Pathol Res Pract 2010; 206:749-52. [PMID: 20691547 DOI: 10.1016/j.prp.2010.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2010] [Revised: 06/20/2010] [Accepted: 06/24/2010] [Indexed: 11/28/2022]
Abstract
This study was undertaken to determine if it was possible to identify expertise within Histopathologists (trainees, district general pathologists and pathologists with a special interest in breast disease) using an objective measure of performance. The method of assessment of performance is based on the CWS (Cochran-Weiss-Shanteau) ratio formed by the individual's ability to discriminate between a spectrum of disease categories and their level of inconsistency when assessed at intervals. The slides circulated represented the spectrum of breast disease seen in routine practice. The results demonstrated the average CWS ratio to be lowest in trainees and highest in pathologists with a special interest in breast pathology although there was no statistical difference in the CWS scores obtained between the district general pathologists and pathologists with a special interest. Differences in inconsistency rather than discriminatory ability mainly accounted for the difference in the CWS ratio observed between the groups studied. The study shows that the CWS ratio is potentially a very useful tool in the assessment of pathologists with regard to assessing their progress through training.
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Affiliation(s)
- D M Parham
- Department of Histopathology, Royal Bournemouth Hospital, Castle Lane East, Bournemouth BH7 7DW, UK.
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12
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Cloonan N, Forrest ARR, Kolle G, Gardiner BBA, Faulkner GJ, Brown MK, Taylor DF, Steptoe AL, Wani S, Bethel G, Robertson AJ, Perkins AC, Bruce SJ, Lee CC, Ranade SS, Peckham HE, Manning JM, McKernan KJ, Grimmond SM. Stem cell transcriptome profiling via massive-scale mRNA sequencing. Nat Methods 2008; 5:613-9. [PMID: 18516046 DOI: 10.1038/nmeth.1223] [Citation(s) in RCA: 732] [Impact Index Per Article: 45.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2008] [Accepted: 05/19/2008] [Indexed: 01/22/2023]
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13
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14
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Byrum CA, Walton KD, Robertson AJ, Carbonneau S, Thomason RT, Coffman JA, McClay DR. Protein tyrosine and serine-threonine phosphatases in the sea urchin, Strongylocentrotus purpuratus: identification and potential functions. Dev Biol 2006; 300:194-218. [PMID: 17087928 PMCID: PMC3045532 DOI: 10.1016/j.ydbio.2006.08.050] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [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: 05/31/2006] [Revised: 08/18/2006] [Accepted: 08/19/2006] [Indexed: 10/24/2022]
Abstract
Protein phosphatases, in coordination with protein kinases, play crucial roles in regulation of signaling pathways. To identify protein tyrosine phosphatases (PTPs) and serine-threonine (ser-thr) phosphatases in the Strongylocentrotus purpuratus genome, 179 annotated sequences were studied (122 PTPs, 57 ser-thr phosphatases). Sequence analysis identified 91 phosphatases (33 conventional PTPs, 31 dual specificity phosphatases, 1 Class III Cysteine-based PTP, 1 Asp-based PTP, and 25 ser-thr phosphatases). Using catalytic sites, levels of conservation and constraint in amino acid sequence were examined. Nine of 25 receptor PTPs (RPTPs) corresponded to human, nematode, or fly homologues. Domain structure revealed that sea urchin-specific RPTPs including two, PTPRLec and PTPRscav, may act in immune defense. Embryonic transcription of each phosphatase was recorded from a high-density oligonucleotide tiling microarray experiment. Most RPTPs are expressed at very low levels, whereas nonreceptor PTPs (NRPTPs) are generally expressed at moderate levels. High expression was detected in MAP kinase phosphatases (MKPs) and numerous ser-thr phosphatases. For several expressed NRPTPs, MKPs, and ser-thr phosphatases, morpholino antisense-mediated knockdowns were performed and phenotypes obtained. Finally, to assess roles of annotated phosphatases in endomesoderm formation, a literature review of phosphatase functions in model organisms was superimposed on sea urchin developmental pathways to predict areas of functional activity.
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Affiliation(s)
- C A Byrum
- Developmental, Cell, and Molecular Biology Group, Box 91000, Duke University, Durham, NC 27708, USA.
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15
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Ellis IO, Coleman D, Wells C, Kodikara S, Paish EM, Moss S, Al-Sam S, Anderson N, Bobrow L, Buley I, Connolly CE, Dallimore NS, Hales S, Hanby A, Humphreys S, Knox F, Lowe J, Macartney J, Nash R, Parham D, Patnick J, Pinder SE, Quinn CM, Robertson AJ, Shrimankar J, Walker RA, Winder R. Impact of a national external quality assessment scheme for breast pathology in the UK. J Clin Pathol 2006; 59:138-45. [PMID: 16443727 PMCID: PMC1860326 DOI: 10.1136/jcp.2004.025551] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND This article presents the results and observed effects of the UK National Health Service Breast Screening Programme (NHSBSP) external quality assurance scheme in breast histopathology. AIMS/METHODS The major objectives were to monitor and improve the consistency of diagnoses made by pathologists and the quality of prognostic information in pathology reports. The scheme is based on a twice yearly circulation of 12 cases to over 600 registered participants. The level of agreement was generally measured using kappa statistics. RESULTS Four main situations were encountered with respect to diagnostic consistency, namely: (1) where consistency is naturally very high-this included diagnosing in situ and invasive carcinomas (and certain distinctive subtypes) and uncomplicated benign lesions; (2) where the level of consistency was low but could be improved by making guidelines more detailed and explicit-this included histological grading; (3) where consistency could be improved but only by changing the system of classification-this included classification of ductal carcinoma in situ; and (4) where no improvement in consistency could be achieved-this included diagnosing atypical hyperplasia and reporting vascular invasion. Size measurements were more consistent for invasive than in situ carcinomas. Even in cases where there is a high level of agreement on tumour size, a few widely outlying measurements were encountered, for which no explanation is readily forthcoming. CONCLUSIONS These results broadly confirm the robustness of the systems of breast disease diagnosis and classification adopted by the NHSBSP, and also identify areas where improvement or new approaches are required.
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Affiliation(s)
- I O Ellis
- Department of Histopathology, Nottingham City Hospital, Hucknall Road, Nottingham NG5 1PB, UK.
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16
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Parham DM, Coleman D, Kodikara S, Moss S, Ellis IO, Al-Sam S, Anderson N, Bobrow L, Buley I, Connolly CE, Dallimore NS, Hales S, Hanby A, Humphreys S, Knox F, Lowe J, Macartney J, Nash R, Patnick J, Pinder SE, Quinn CM, Robertson AJ, Shrimankar J, Walker RA, Wells C, Winder R, Patel N. The NHS breast screening programme (pathology) EQA: experience in recent years relating to issues involved in individual performance appraisal. J Clin Pathol 2006; 59:130-7. [PMID: 16443726 PMCID: PMC1860311 DOI: 10.1136/jcp.2004.025619] [Citation(s) in RCA: 18] [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: 11/04/2022]
Abstract
BACKGROUND The original role of the National Health Service breast screening programme (pathology) external quality assessment (EQA) scheme was educational; it aimed to raise standards, reinforce use of common terminology, and assess the consistency of pathology reporting of breast disease in the UK. AIMS/METHODS To examine the performance (scores) of pathologists participating in the scheme in recent years. The scheme has evolved to help identify poor performers, reliant upon setting an acceptable cutpoint. Therefore, the effects of different cutpoint strategies were evaluated and implications discussed. RESULTS/CONCLUSIONS Pathologists who joined the scheme improved over time, particularly those who did less well initially. There was no obvious association between performance and the number of breast cancer cases reported each year. This is not unexpected because the EQA does not measure expertise, but was established to demonstrate a common level of performance (conformity to consensus) for routine cases, rather than the ability to diagnose unusual/difficult cases. A new method of establishing cutpoints using interquartile ranges is proposed. The findings also suggest that EQA can alter a pathologist's practice: those who leave the scheme (for whatever reason) have, on average, marginally lower scores. Consequently, with the cutpoint methodology currently used (which is common to several EQA schemes) there is the potential for the cutpoint to drift upwards. In future, individuals previously deemed competent could subsequently be erroneously labelled as poor performers. Due consideration should be given to this issue with future development of schemes.
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Affiliation(s)
- D M Parham
- Department of Pathology, Royal Bournemouth Hospital, Bournemouth, Dorset BH7 7DW, UK.
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Brenstrum T, Clattenburg J, Britten J, Zavorine S, Dyck J, Robertson AJ, McNulty J, Capretta A. Phosphorinanes as Ligands for Palladium-Catalyzed Cross-Coupling Chemistry. Org Lett 2005; 8:103-5. [PMID: 16381578 DOI: 10.1021/ol052579h] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
[structure: see text] Phosphorinanes are presented as a class of phosphine ligand suitable for organopalladium cross-coupling chemistry. Prepared via a direct double Michael addition of a monoalkyl- or arylphosphine to phorone followed by a Wolf-Kishner reduction, phosphorinanes are relatively inexpensive to manufacture and allow modification of one of the alkyl moieties permitting steric and electronic fine-tuning of the ligands. Library screening and applications of these ligands in the Suzuki, Sonogashira, ketone arylation, and aryl amination reactions are presented.
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Affiliation(s)
- Tim Brenstrum
- Department of Chemistry, McMaster University, Hamilton, Ontario, Canada
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Brenstrum T, Gerristma DA, Adjabeng GM, Frampton CS, Britten J, Robertson AJ, McNulty J, Capretta A. Phosphaadamantanes as ligands for palladium catalyzed cross-coupling chemistry: library synthesis, characterization, and screening in the Suzuki coupling of alkyl halides and tosylates containing beta-hydrogens with boronic acids and alkylboranes. J Org Chem 2004. [PMID: 15497991 DOI: 10.1021/jo048875] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A 15-member library of phosphaadamantane ligands has been prepared via P-arylation of 1,3,5,7-tetramethyl-2,4,8-trioxa-6-phosphaadamantane. Screening of this tertiary phosphine collection has allowed for the rapid determination of the most suitable ligand, specifically 1,3,5,7-tetramethyl-6-(2,4-dimethoxyphenyl)-2,4,8-trioxa-6-phosphaadamantane, for facilitating Suzuki-type couplings of alkyl halides or tosylates containing beta-hydrogens with either boronic acids or alkylboranes.
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Affiliation(s)
- Tim Brenstrum
- Department of Chemistry, McMaster University, Hamilton, Ontario L8S 4M1, Canada
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Brenstrum T, Gerristma DA, Adjabeng GM, Frampton CS, Britten J, Robertson AJ, McNulty J, Capretta A. Phosphaadamantanes as Ligands for Palladium Catalyzed Cross-Coupling Chemistry: Library Synthesis, Characterization, and Screening in the Suzuki Coupling of Alkyl Halides and Tosylates Containing β-Hydrogens with Boronic Acids and Alkylboranes. J Org Chem 2004; 69:7635-9. [PMID: 15497991 DOI: 10.1021/jo048875+] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A 15-member library of phosphaadamantane ligands has been prepared via P-arylation of 1,3,5,7-tetramethyl-2,4,8-trioxa-6-phosphaadamantane. Screening of this tertiary phosphine collection has allowed for the rapid determination of the most suitable ligand, specifically 1,3,5,7-tetramethyl-6-(2,4-dimethoxyphenyl)-2,4,8-trioxa-6-phosphaadamantane, for facilitating Suzuki-type couplings of alkyl halides or tosylates containing beta-hydrogens with either boronic acids or alkylboranes.
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Affiliation(s)
- Tim Brenstrum
- Department of Chemistry, McMaster University, Hamilton, Ontario L8S 4M1, Canada
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20
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Duggal MS, Gautam SK, Nichol R, Robertson AJ. Paediatric dentistry in the new millennium: 4. Cost-effective restorative techniques for primary molars. ACTA ACUST UNITED AC 2003; 30:410-5. [PMID: 14619729 DOI: 10.12968/denu.2003.30.8.410] [Citation(s) in RCA: 4] [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: 11/11/2022]
Abstract
In the fourth article in this series the techniques for carrying out pulp therapy and stainless steel restoration in primary molars are discussed. Early pulp involvement in primary molars means that pulp therapy and the use of appropriate coronal restoration, such as stainless steel crowns, are indispensable if repetitive restoration of primary molars is to be avoided. These techniques themselves are not difficult to carry out once the child's co-operation is established and should be well within the capability of any dentist with an interest in the dental care of children.
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McLaren KM, Burnett RA, Goodlad JR, Howatson SR, Lang S, Lee FD, Lessells AM, Ogston SA, Robertson AJ, Simpson JG, Smith GD, Tavadia HB, Walker F. Observer variability in the Goseki grouping of gastric adenocarcinoma in resection and biopsy specimens. Histopathology 2003; 42:472-5. [PMID: 12713624 DOI: 10.1046/j.1365-2559.2003.01609.x] [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] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIMS The Goseki grouping of gastric adenocarcinoma has been suggested as a possible prognostic factor. In those centres where it is used, it may be valuable to assess the Goseki grouping of a tumour on the initial diagnostic biopsy as well as on the resection specimen since it may in theory influence management. We examined the robustness of Goseki grouping of gastric adenocarcinoma in representative sections from resection and biopsy specimens in order to assess the consistency of agreement among a group of pathologists. METHODS A single representative block from 100 gastric resection specimens was studied using a haematoxylin and eosin and mucin (alcian blue/periodic acid-Schiff) stain. These were circulated in batches to members of a group of 12 pathologists who each completed a simple proforma confirming the presence of carcinoma and assigning a Goseki group. In a second circulation the diagnostic biopsy specimen taken prior to resection was examined in the same way. This allowed comparison of the Goseki group of the biopsy and resection specimens. RESULTS In both studies kappa statistics showed good agreement on tubular differentiation of the carcinoma, but only moderate agreement for the intracellular mucin production, resulting in moderate agreement for the final Goseki group. Correlation between the Goseki group assigned on the biopsy and resected specimens was seen in 62% of the cases. However, the reproducibility was low (kappa 0.375). CONCLUSIONS The Goseki grouping of resected gastric adenocarcinoma is reproducible and can be used in prognostication. Goseki grouping of biopsy specimens is of limited value in predicting the Goseki group assigned to the resected carcinoma.
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Affiliation(s)
- K M McLaren
- Department of Pathology, University of Edinburgh Medical School, UK.
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Lessells AM, Burnett RA, Goodlad JR, Howatson SR, Lang S, Lee FD, McLaren KM, Ogston S, Robertson AJ, Simpson JG, Smith GD, Tavadia HB, Walker F. Comment on a recent paper and editorial on the subject of dysplasia classification. J Pathol 2002; 198:131-2. [PMID: 12210073 DOI: 10.1002/path.1181] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Riches AC, Bryant PE, Steel CM, Gleig A, Robertson AJ, Preece PE, Thompson AM. Chromosomal radiosensitivity in G2-phase lymphocytes identifies breast cancer patients with distinctive tumour characteristics. Br J Cancer 2001; 85:1157-61. [PMID: 11710829 PMCID: PMC2375149 DOI: 10.1054/bjoc.2001.2086] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
A substantial proportion of women with breast cancer exhibit an abnormally high radiosensitivity as measured by the frequency of chromatid breaks induced in G2-phase, PHA stimulated lymphocytes. Chromatid break frequencies were compared for a cohort of previously untreated sporadic breast cancer patients and hospital outpatient controls. In the breast cancer group 46% showed high radiosensitivity compared to 14% of controls (P< 0.001). Comparison of those breast cancer patients with a high G2 radiosensitivity (G2RS) versus those with a low G2RS showed no difference in menopausal status or age but the high G2RS group had on average a lower score on the Nottingham Prognostic Index. Predicted survival in the high G2RS group at 15 years was 55% compared to 36% for the low G2RS group. Furthermore, 81% of tumours from the high G2RS were oestrogen receptor positive compared to 45% from the low G2RS group. Thus high G2RS identifies a sub-population of patients with distinctive tumour characteristics and with a predicted improved prognosis as compared with those in the low G2RS group. Our findings imply that besides influencing risk of breast cancer the genetic factors determining G2 radiosensitivity also influence the tumour characteristics and prognosis in these patients.
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Affiliation(s)
- A C Riches
- Medical Science and Human Biology, School of Biology, University of St Andrews, St Andrews, KY16 9TS, UK
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24
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McLaren KM, Burnett RA, Goodlad JR, Howatson SR, Lang S, Lee FD, Lessells AM, Ogston S, Robertson AJ, Simpson JG, Smith GD, Tavadia HB, Walker F. Consistency of histopathological reporting of laryngeal dysplasia. The Scottish Pathology Consistency Group. Histopathology 2000; 37:460-3. [PMID: 11119129 DOI: 10.1046/j.1365-2559.2000.00998.x] [Citation(s) in RCA: 50] [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] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIMS Clinical management of premalignant and malignant lesions of the larynx is dependent on histopathological evaluation. The Scottish Pathology Consistency Group assessed interobserver variation in the evaluation of laryngeal dysplasia. METHODS AND RESULTS One hundred laryngeal biopsies ranging from normal to invasive carcinoma were assessed. The overall Kappa result of 0.32 was disappointing. However, agreement on those categories which dictate significantly different management was more favourable. The Kappa figure for mild dysplasia versus severe dysplasia/CIS was 0.7, the Kappa figure for mild dysplasia versus severe dysplasia/CIS and invasive carcinoma was 0.77. The Kappa figure for mild and moderate dysplasia versus severe dysplasia/ CIS and invasive carcinoma was 0.57. An attempt to use a two grade system gave a Kappa figure of 0.52. CONCLUSIONS Our group had a satisfactory agreement on the distinction of mild from severe dysplasia and on microinvasive carcinoma without any discussion as to histopathological criteria to be used. Clinical management--review endoscopy, repeat cord stripping, radiotherapy and laryngectomy--is in general dependent on histological assessment. Thus the agreement on categories which underpin clinical management is reassuring. However, assessment of moderate dysplasia remains problematic. An attempt to utilize a two grade system--low grade from high grade dysplasia/CIS--may have merit. The implications of the terminology used must be agreed among pathologists and clinicians working closely within clinicopathological cancer groups.
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Affiliation(s)
- K M McLaren
- Department of Pathology, University of Edinburgh Medical School, UK
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Robertson AJ, Nargund V, Gray DW, Morris PJ. Low dose aspirin as prophylaxis against renal-vein thrombosis in renal-transplant recipients. Nephrol Dial Transplant 2000; 15:1865-8. [PMID: 11071979 DOI: 10.1093/ndt/15.11.1865] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Renal-vein thrombosis (RVT) is an infrequent event that accounts for a high proportion of early renal allograft losses, since graft failure secondary to acute irreversible rejection is now relatively rare. The cause of RVT may be related to technical problems, clotting disorders, diabetes, or cyclosporin, but is often difficult to define. METHODS This retrospective study was performed to examine the influence of aspirin on the incidence of RVT in cadaveric and living-related renal transplant recipients receiving cyclosporin-based triple immunosuppression. The Oxford Transplant Centre database was used to identify all early (<30 day) non-immunological graft failures and case histories were examined for clinical and pathological evidence of RVT. In July 1991, aspirin (75 mg o.d. starting immediately before and continuing for 1 month post-transplant) was introduced as routine prophylaxis against RVT. Prior to this, aspirin prophylaxis was not used. RESULTS In the 6-year period from July 1985 to June 1991, there were 27 cases of RVT in 475 transplants (5.6%). In the subsequent 6-year period, there were six cases of RVT in 480 transplants (1.2%) (P:<0.01). CONCLUSION Although not abolished, this indicates a significant reduction in the incidence of RVT with the addition of low-dose aspirin.
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Affiliation(s)
- A J Robertson
- Nuffield Department of Surgery, Oxford Transplant Centre, Churchill Hospital, Headington, Oxford, UK
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26
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Abstract
Physiological processes in cervical squamous epithelium have not been extensively studied. Perhaps understandably, most of the research has concentrated on the pathology of the cervix, in particular dysplasia and malignancy. Fluid-phase endocytosis is a physiological process which has been demonstrated to be important in understanding disease development at other squamous epithelial sites, e.g. oesophagus. In this study, we have demonstrated by a new methodology developed in our laboratory using fluorescent microspheres and flow cytometry that fluid-phase endocytosis occurs in cervical squamous cells. The process has been shown to be dose- and time-dependent. This novel approach provides a means to improve our understanding of the physiological functions of the cervix and may provide insight into the pathogenesis of cervical neoplastic and non-neoplastic disease.
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Affiliation(s)
- W S Hew
- Department of Pathology, Ninewells Hospital and Medical School, Dundee, UK
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27
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Abstract
An investigative trial was set up to determine the efficacy and practicality of using cross-polarized photography in the assessment of enamel defects. Twenty patients were photographed using this technique. The photography was assessed by ten clinicians, each of whom completed a questionnaire. Two calibrated examiners using the DDE Epidemiology and Screening Indices also undertook assessment. The results show overwhelming evidence to support the use of cross-polarization, with significant increase in agreement between the assessors, than that which could be obtained by conventional photography. It also enhanced the visual detail of enamel defects enabling changes in the appearance to be assessed by the DDE Indices.
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Affiliation(s)
- A J Robertson
- Medical and Dental Illustration Unit, Leeds Dental Institute, UK
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28
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Wu G, Wilen RW, Robertson AJ, Gusta LV. Isolation, chromosomal localization, and differential expression of mitochondrial manganese superoxide dismutase and chloroplastic copper/zinc superoxide dismutase genes in wheat. Plant Physiol 1999; 120:513-20. [PMID: 10364402 PMCID: PMC59289 DOI: 10.1104/pp.120.2.513] [Citation(s) in RCA: 52] [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] [Subscribe] [Scholar Register] [Received: 11/16/1998] [Accepted: 03/05/1999] [Indexed: 05/21/2023]
Abstract
Superoxide dismutase (SOD) gene expression was investigated to elucidate its role in drought and freezing tolerance in spring and winter wheat (Triticum aestivum). cDNAs encoding chloroplastic Cu/ZnSODs and mitochondrial MnSODs were isolated from wheat. MnSOD and Cu/ZnSOD genes were mapped to the long arms of the homologous group-2 and -7 chromosomes, respectively. Northern blots indicated that MnSOD genes were drought inducible and decreased after rehydration. In contrast, Cu/ZnSOD mRNA was not drought inducible but increased after rehydration. In both spring and winter wheat seedlings exposed to 2 degrees C, MnSOD transcripts attained maximum levels between 7 and 49 d. Transcripts of Cu/ZnSOD mRNA were detected sooner in winter than in spring wheat; however, they disappeared after 21 d of acclimation. Transcripts of both classes of SOD genes increased during natural acclimation in both spring and winter types. Exposure of fully hardened plants to three nonlethal freeze-thaw cycles resulted in Cu/Zn mRNA accumulation; however, MnSOD mRNA levels declined in spring wheat but remained unchanged in winter wheat. The results of the dehydration and freeze-thaw-cycle experiments suggest that winter wheat has evolved a more effective stress-repair mechanism than spring wheat.
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Affiliation(s)
- G Wu
- Crop Development Centre, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, Canada S7N 5A8
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29
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Affiliation(s)
- A J Robertson
- Nuffield Department of Surgery, Oxford Transplant Centre, Churchill Hospital, United Kingdom
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30
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Abstract
Splenic artery aneurysms are a rare but potentially fatal complication after liver transplantation. We report three cases presenting in a 12-month period in adult patients who underwent transplantation for chronic liver disease. Doppler ultrasound of the splenic artery should be performed in all patients with cirrhosis and portal hypertension who are being assessed for liver transplantation. The aneurysm can be ligated at the time of transplantation.
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Affiliation(s)
- A J Robertson
- Liver Transplant Surgical Service, King's College Hospital, London, UK
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31
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Robertson AJ, Rela M, Karani J, Steger AC, Benjamin IS, Heaton ND. Laparoscopic cholecystectomy injury: an unusual indication for liver transplantation. Transpl Int 1998; 11:449-51. [PMID: 9870275 DOI: 10.1007/s001470050173] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
The introduction of laparoscopic cholecystectomy has been associated with a rise in the number of reported bile duct injuries (0.3%-0.8%). Significant vascular injuries are rare (0.16%), but may lead to life-threatening complications. We present a case report of a patient undergoing transplantation for a laparoscopic cholecystectomy injury.
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Affiliation(s)
- A J Robertson
- Liver Transplant Surgical Service, King's College Hospital, London, UK
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32
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Abstract
Fifteen routine nasal polypectomy specimens submitted to our laboratory over an eight-month period were noted to show marked atypia within areas of squamous metaplasia to a degree suggestive of dysplasia. Reviewing the literature revealed little published work in this area, especially recently. Further nasal polyp cases from this, and a similar previous time period, were re-examined, and possible causes for these changes discussed.
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Affiliation(s)
- A R Baird
- Department of Pathology, Ninewells Hospital and Medical School, Dundee, Scotland
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33
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Lessells AM, Burnett RA, Howatson SR, Lang S, Lee FD, McLaren KM, Nairn ER, Ogston SA, Robertson AJ, Simpson JG, Smith GD, Tavadia HB, Walker F. Observer variability in the histopathological reporting of needle biopsy specimens of the prostate. Hum Pathol 1997; 28:646-9. [PMID: 9190997 DOI: 10.1016/s0046-8177(97)90172-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 1.7] [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: 02/04/2023]
Abstract
The Scottish Pathology Consistency Group has in previous studies examined the consistency of histopathological reporting of biopsies from the cervix, bladder, bronchus, and rectum. In the current study, consisting of 100 needle biopsy specimens of the prostate, a single hematoxylin-eosin (H&E) slide from each case was circulated in batches of 10 to the 12 pathologists, who filled in a simple proforma. This had two sections: a diagnostic category (benign; suspicious or malignant) along with a standard Gleason score for those regarded as malignant. The majority diagnosis of the 100 cases was benign, 53; suspicious, 1; and malignant, 46. The Kappa value for benign cases versus others was 0.86 and for malignant cases versus others was 0.91. Analysis of the data on Gleason scores showed a value of 0.54 when cases were divided into two categories (2 to 6 v 7 to 10) and 0.41 when three categories were used (2 to 4; 5 to 6; 7 to 10). Although not initially part of the design of the study, the majority diagnosis was compared with the original reported diagnosis. In a small subset, examination of further levels, basal cell antibody staining, along with further clinical information, was obtained. With this added information, it appears that there were probably 52 benign and 48 malignant cases. Of the 48 malignant cases, the group majority diagnosis was malignant, 46; suspicious, 1; and benign, 1. The original reported diagnosis was 56 benign, 1 suspicious, and 43 malignant. The group therefore appeared to perform better than the original reporting pathologists. When compared with the results of our previous studies, this study has shown that the diagnosis of carcinoma of the prostate on a needle biopsy is robust.
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Affiliation(s)
- A M Lessells
- Department of Pathology, Western General Hospital, Edinburgh, United Kingdom
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34
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Abstract
The control of cell cycle expression of histone genes in plants is incompletely understood. A new histone H3 gene was cloned from alfalfa (Medicago sativa) that codes for the replication-dependent histone H3.1 variant protein. Despite lacking all promoter sequence motifs that have been associated with cell cycle-dependent histone gene expression in plants, northern analysis of synchronized cells clearly linked gene expression to DNA replication. TTAATNA was recognized as a new sequence element in the 3' untranslated regions of this and all other cell cycle-dependent histone H3 genes of dicotyledonous plants. It is not found in the replication-independent histone H3 genes.
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Affiliation(s)
- A J Robertson
- Molecular Biology and Biotechnology, University of North Carolina, Chapel Hill 27599-7100, USA
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35
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Abstract
Phylogenetic analysis of histone H3 protein sequences demonstrates the independent origin of the replacement histone H3 genes in animals and in plants. Multiple introns in the replacement histone H3 genes of animals in a pattern distinct from that in plant replacement H3 genes supports this conclusion. It is suggested that replacement H3 genes arose at the same time that, independently, multicellular forms of animals and of plants evolved. Judged by the degree of invariant and functionally constrained amino acid positions, histones H3 and H4, which form together the tetramer kernel of the nucleosome, have co-evolved with equal rates of sequence divergence. Residues 31 and 87 in histone H3 are the only residues that consistently changed across each gene duplication event that created functional replacement histone H3 variant forms. Once changed, these residues have remained invariant across divergent speciation. This suggests that they are required to allow replacement histone H3 to participate in the assembly of nucleosomes in non-S-phase cells. The abundant occurrence of polypyrimidine sequences in the introns of all replacement H3 genes, and the replacement of an intron by a polypyrimidine motif upstream of the alfalfa replacement H3 gene, suggests a function. It is speculated that they may contribute to the characteristic cell-cycle-independent pattern of replacement histone H3 genes by binding nucleosome-excluding proteins.
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Affiliation(s)
- J H Waterborg
- Division of Cell Biology and Biophysics, School of Biological Sciences, University of Missouri-Kansas City, 5100 Rockhill Road, Kansas City, MO 64110-2499, USA
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36
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Burnett RA, Howatson SR, Lang S, Lee FD, Lessells AM, McLaren KM, Nairn ER, Ogston S, Robertson AJ, Simpson JG, Smith GD, Tavadia HB, Walker F. Observer variability in histopathological reporting of non-small cell lung carcinoma on bronchial biopsy specimens. J Clin Pathol 1996; 49:130-3. [PMID: 8655678 PMCID: PMC500345 DOI: 10.1136/jcp.49.2.130] [Citation(s) in RCA: 24] [Impact Index Per Article: 0.9] [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: 02/01/2023]
Abstract
AIMS To evaluate the ability of histopathologists to sub-classify non-small cell lung carcinomas on bronchial biopsy material using the current World Health Organisation (WHO) classification. METHODS Twelve histopathologists each reviewed 100 randomly selected bronchial biopsy specimens which had originally been reported as showing non-small cell lung carcinoma. For each case, two sections were circulated, one stained by haematoxylin and eosin and the other by a standard method for mucin (alcian blue/periodic acid Schiff). The participants were allowed to indicate their degree of confidence in their classification of each case. A standard proforma was completed and the results were analysed using kappa statistics. RESULTS Where the participants were confident in their classification, they were actually quite good at sub-classifying the non-small cell carcinoma sections (kappa = 0.71, standard error = 0.058). Overall, however, the results were only fair (kappa = 0.39, standard error = 0.034). CONCLUSIONS The majority of non-small cell lung carcinomas can be correctly categorised on adequate bronchial biopsy material. Where a confident diagnosis was made, both squamous carcinoma (kappa = 0.73) and adenocarcinoma (kappa = 0.83) were well recognised.
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Affiliation(s)
- R A Burnett
- University of Glasgow Department of Pathology, Western Infirmary
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37
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Abstract
One genomic and six cDNA clones for the replacement histone H3.2 protein of alfalfa (Medicago sativa) were isolated and sequenced. By gene organization they represent 3 distinct genes. PCR methods were used to confirm that only three intron-bearing histone H3.2 genes of this type exist per haploid genome. They co-exist with approximately 56 copies of the previously characterized replication-dependent, intronless histone H3.1 variant gene. Comparison of the relative expression of few constitutive H3.2 genes with the high S phase expression of the abundant cell cycle-dependent H3.1 genes by mRNA levels and protein synthesis measurements revealed that the replacement histone H3.2 genes are very highly expressed. Structural analysis of the genomic replacement H3.2 gene revealed a unique feature. A repeated polypyrimidine sequence motif in the 5' untranslated region of this gene replaces the ubiquitous intron present in all known replacement H3 genes. A hypothesis is presented that this motif and other, non-randomly distributed polypyrimidine sequences in the introns of replacement histone H3 genes of alfalfa and Arabidopsis, may affect nucleosome assembly. Chromatin repression of these replacement genes would be avoided, consistent with the high, constitutive expression of replacement H3 histone genes in plants.
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Affiliation(s)
- A J Robertson
- Division of Cell Biology and Biophysics, University of Missouri-Kansas City 64110-2499, USA
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38
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Waterborg JH, Robertson AJ, Tatar DL, Borza CM, Davie JR. Histones of Chlamydomonas reinhardtii. Synthesis, acetylation, and methylation. Plant Physiol 1995; 109:393-407. [PMID: 7480339 PMCID: PMC157602 DOI: 10.1104/pp.109.2.393] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Histones of the green alga Chlamydomonas reinhardtii were prepared by a new method and fractionated by reversed-phase high-performance liquid chromatography. Acid-urea-Triton gel analysis and tritiated acetate labeling demonstrated high levels of steady-state acetylation for the single histone H3 protein, in contrast to low levels on histones H4 and H2B. Twenty percent of histone H3 is subject to dynamic acetylation with, on average, three acetylated lysine residues per protein molecule. Histone synthesis in light-dark-synchronized cultures was biphasic with pattern differences between two histone H1 variants, between two H2A variants, and between H2B and ubiquitinated H2B. Automated protein sequence analysis of histone H3 demonstrated a site-specific pattern of steady-state acetylation between 7 and 17% at five of the six amino-terminal lysines and of monomethylation between 5 and 81% at five of the eight amino-terminal lysines in a pattern that may limit dynamic acetylation. An algal histone H3 sequence was confirmed by protein sequencing with a single threonine as residue 28 instead of the serine28-alanine29 sequence, present in all other known plant and animal H3 histones.
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Affiliation(s)
- J H Waterborg
- School of Biological Sciences, University of Missouri-Kansas City 64110-2499, USA
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39
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Abstract
The stability of histone H3 transcripts in alfalfa for replication-dependent and -independent gene variants was measured by northern analysis under conditions of inhibition of transcription and/or translation. Replication-dependent histone H3.1 transcripts were about three-fold less stable than the equally polyadenylated mRNA for replacement variant H3.2 histone. In actively growing suspension cultures treated with dactinomycin half-lives of 2 and 7 h were observed for H3.1 and H3.2 mRNAs, respectively. mRNA stabilities were also measured indirectly by histone protein synthesis. The translation inhibitor cycloheximide strongly increased mRNA levels for both histone H3 variants. The dependence of histone mRNA turnover on translation in animals also appears to exist in plants. The combination of inhibition of transcription and translation by dactinomycin and cycloheximide was used in an indirect assessment of H3 mRNA stability throughout the cell cycle in partially synchronized and cycle-arrested cultures. Destabilization of replication-dependent histone H3.1 mRNA was detected in non-S phase cells.
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Affiliation(s)
- T Kapros
- Division of Cell Biology and Biophysics, University of Missouri-Kansas City 64110-2499, USA
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40
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Abstract
Concerns about attendance for cervical screening has focussed on determining the reasons why some women never attend. Less attention has been paid to whether women continue to attend for further smears, although this is essential for further screening. This study investigated women's experiences of cervical screening and their views on subsequent attendance. Three hundred and thirty nine women aged 20-64 were identified from a computerised register of cervical smears as having had a smear test within the previous three years. They were interviewed at home about their most recent experience of screening. Just over half of the women (53%) recalled being anxious before the test, and about one fifth reported embarrassment (19%) or pain (20%) during it. The frequencies of discomfort were higher amongst those who were anxious about the test, although 24% of those who were embarrassed and 28% who had pain reported being unconcerned beforehand. The frequencies of pain and embarrassment were only slightly higher when the smear taker was male. Many women (22%) reported being concerned about the test result although only 10% of those who were concerned were recalled for further assessment. Although a number of women had unpleasant experiences, almost all (95%) who were under 60 years of age said they were likely to attend for a subsequent smear. Taking cervical smears is often an unpleasant experience for women, although some of the distressing events could easily have been avoided. Attention to technique and to the concerns of individual patients, especially ensuring privacy, could reduce the extent of the problem. The uptake of subsequent smears should be monitored to ensure that women are not being discouraged from attendance.
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Affiliation(s)
- I K Crombie
- Department of Epidemiology and Public Health, University of Dundee, Ninewells Hospital and Medical School
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41
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Crombie IK, Orbell S, Johnston G, Robertson AJ, Kenicer M. Cervical screening: the optimum visit plan for contacting users and non-users in Scotland. J Epidemiol Community Health 1994; 48:586-9. [PMID: 7830014 PMCID: PMC1060037 DOI: 10.1136/jech.48.6.586] [Citation(s) in RCA: 7] [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: 01/27/2023]
Abstract
OBJECTIVE To investigate the numbers of visits required to obtain interviews with users and non-users of cervical screening, and to determine the workload involved to enable an optimum visit plan to be developed. DESIGN Case-control study of users and non-users of cervical screening using a flexible visit plan that involved up to eight attempts at contact. Visits were made in mornings, afternoons, and evenings, the visit pattern being determined by information gained from local sources. PATIENTS Altogether 660 non-users of cervical screening (cases), aged 20-64 and registered with 23 randomly selected general practitioners (GPs), were identified from the Tayside computerised register of cervical smears. These women were selected from the computerised lists of 18 GPs in Dundee and five in Perth. A total of 417 women recorded as having a smear within the previous three years (controls), matched by age and GP, were also identified from the computerised register. RESULTS Altogether 1834 attempts were made to contact the cases, of whom 339 were interviewed, giving a workload of 18 interviews per 100 attempts. For the controls 1359 attempts were made at contact to yield 339 interviews, a workload of 25 interviews per 100 attempts. Refusals (19%) and incorrect addresses (23%) were the two major reasons for failing to achieve interview. Only for four (0.6%) of the cases and one (0.2%) of the controls was no information gained. The proportion of attempts which led to interview remained constant with increasing numbers of call-backs (up to six for the cases and eight for the controls). CONCLUSIONS A flexible approach to visit scheduling that takes account of local knowledge can lead to interviews with 66% of non-users of health screening, when incorrect addresses are removed. It is preferable to plan for many (up to six) visits to achieve interview. This will minimise non-response bias without increasing the workload per successful interview.
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Affiliation(s)
- I K Crombie
- Department of Epidemiology and Public Health, University of Dundee, Ninewells Hospital and Medical School
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42
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Abstract
A detailed method is presented for the creation of head-to-tail multimers of short blunt restriction fragments, ligated into a plasmid vector in a single-tube reaction. Random priming of the concatemer insert readily yields hybridization probes of high specificity, unattainable from the short monomer fragments.
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Affiliation(s)
- T Kapros
- Division of Cell Biology and Biophysics, University of Missouri, Kansas City 64110
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43
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Burnett RA, Swanson Beck J, Howatson SR, Lee FD, Lessells AM, McLaren KM, Ogston S, Robertson AJ, Simpson JG, Smith GD. Observer variability in histopathological reporting of malignant bronchial biopsy specimens. J Clin Pathol 1994; 47:711-3. [PMID: 7962622 PMCID: PMC502142 DOI: 10.1136/jcp.47.8.711] [Citation(s) in RCA: 30] [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: 01/28/2023]
Abstract
AIMS To evaluate the ability of histopathologists to classify lung carcinomas on bronchial biopsy material using the current World Health Organisation (WHO) classification. METHODS Eleven histopathologists each reviewed 100 randomly selected bronchial biopsy specimens which had originally been reported as showing lung carcinoma. A single haematoxylin and eosin stained section from each case was circulated and a standard proforma completed. These were analysed using kappa statistics. RESULTS The histopathologists were excellent at distinguishing between small cell and non-small-cell carcinoma kappa = 0.86), but not so good at subclassifying the non-small cell carcinoma group kappa = 0.25). CONCLUSIONS The clinically important distinction between small cell and non-small cell carcinoma of the lung is reliably made by competent histopathologists even on limited material.
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Affiliation(s)
- R A Burnett
- University of Glasgow Department of Pathology, Western Infirmary
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44
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Robertson AJ, Ishikawa M, Gusta LV, MacKenzie SL. Abscisic acid-induced heat tolerance in Bromus inermis Leyss cell-suspension cultures. Heat-stable, abscisic acid-responsive polypeptides in combination with sucrose confer enhanced thermostability. Plant Physiol 1994; 105:181-90. [PMID: 8029349 PMCID: PMC159344 DOI: 10.1104/pp.105.1.181] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Increased heat tolerance is most often associated with the synthesis of heat-shock proteins following pre-exposure to a nonlethal heat treatment. In this study, a bromegrass (Bromus inermis Leyss cv Manchar) cell suspension cultured in a medium containing 75 microM abscisic acid (ABA) without prior heat treatment had a 87% survival rate, as determined by regrowth analysis, following exposure to 42.5 degrees C for 120 min. In contrast, less than 1% of the control cells survived this heat treatment. The heat tolerance provided by treatment with 75 microM ABA was first evidenced after 4 d of culture and reached a maximum tolerance after 11 d of culture. Preincubation with sucrose partially increased the heat tolerance of control cells and rendered ABA-treated cells tolerant to 45 degrees C for 120 min (a completely lethal heat treatment for control cells). Comparative two-dimensional polyacrylamide gel electrophoresis of cellular protein isolated from heat-tolerant cells identified 43 ABA-responsive proteins of which 26 were heat stable (did not coagulate and remained soluble after 30 min at 90 degrees C). Eight heat-stable, ABA-responsive proteins ranging from 23 to 45 kD had similar N-terminal sequences. The ABA-responsive (43-20 kD), but none of the control heat-stable, proteins cross-reacted to varying degrees with a polyclonal antibody directed against a conserved, lysine-rich dehydrin sequence. A group of 20- to 30-kD heat-stable, ABA-responsive proteins cross-reacted with both the anti-dehydrin antibody and an antibody directed against a cold-responsive winter wheat protein (Wcs 120). In ABA-treated cells, there was a positive correlation between heat- and pH-induced coagulation of a cell-free homogenate and the heat tolerance of these cells. At 50 degrees C, control homogenates coagulated after 8 min, whereas cellular fractions from ABA-treated cells showed only marginal coagulation after 15 min. In protection assays, addition of heat-stable, ABA-responsive polypeptides to control fractions reduced the heat-induced coagulation of cell-free homogenates. Sucrose (8%) alone and control, heat-stable fractions enhanced the thermostability of control fractions, but the most protection was conferred by ABA-responsive, heat-stable proteins in combination with sucrose. These data suggest that stress-tolerance mechanisms may develop as a result of cooperative interactions between stress proteins and cell osmolytes, e.g. sucrose. Hypotheses are discussed implicating the role of these proteins and osmolytes in preventing coagulation and denaturation of cellular proteins and membranes.
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Affiliation(s)
- A J Robertson
- Crop Development Centre, University of Saskatchewan, Saskatoon, Canada
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45
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Steinberg TH, Civitelli R, Geist ST, Robertson AJ, Hick E, Veenstra RD, Wang HZ, Warlow PM, Westphale EM, Laing JG. Connexin43 and connexin45 form gap junctions with different molecular permeabilities in osteoblastic cells. EMBO J 1994; 13:744-50. [PMID: 8112289 PMCID: PMC394870 DOI: 10.1002/j.1460-2075.1994.tb06316.x] [Citation(s) in RCA: 180] [Impact Index Per Article: 6.0] [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] [Indexed: 11/10/2022] Open
Abstract
We examined the expression and function of gap junctions in two rat osteoblastic cell lines, ROS 17/2.8 and UMR 106-01. The pattern of expression of gap junction proteins in these two cell lines was distinct: ROS cells expressed only connexin43 on their cell surface, while UMR expressed predominantly connexin45. Immunoprecipitation and RNA blot analysis confirmed the relative quantitation of these connexins. Microinjected ROS cells passed Lucifer yellow to many neighboring cells, but UMR cells were poorly coupled by this criterion. Nevertheless, both UMR and ROS cells were electrically coupled, as characterized by the double whole cell patch-clamp technique. These studies suggested that Cx43 in ROS cells mediated cell-cell coupling for both small ions and larger molecules, but Cx45 in UMR cells allowed passage only of small ions. To demonstrate that the expression of different connexins alone accounted for the lack of dye coupling in UMR cells, we assessed dye coupling in UMR cells transfected with either Cx43 or Cx45. The UMR/Cx43 transfectants were highly dye coupled compared with the untransfected UMR cells, but the UMR/Cx45 transfectants demonstrated no increase in dye transfer. These data demonstrate that different gap junction proteins create channels with different molecular permeabilities; they suggest that different connexins permit different types of signalling between cells.
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Affiliation(s)
- T H Steinberg
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63110
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46
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Lessells AM, Beck JS, Burnett RA, Howatson SR, Lee FD, McLaren KM, Moss SM, Robertson AJ, Simpson JG, Smith GD. Observer variability in the histopathological reporting of abnormal rectal biopsy specimens. J Clin Pathol 1994; 47:48-52. [PMID: 8132809 PMCID: PMC501756 DOI: 10.1136/jcp.47.1.48] [Citation(s) in RCA: 50] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
AIMS To study the consistency of reporting of abnormal rectal biopsy specimens, especially in the differentiation of inflammatory bowel disease from other causes of abnormality. METHODS Sixty rectal biopsy specimens were identified from patients presenting with bloody diarrhoea. These were then circulated to the 11 consultant pathologists in the study who filled in a proforma with a list of 12 diagnostic categories and 22 features. RESULTS Forty one of the 60 cases were examples of inflammatory bowel disease. In 33 of these cases nine or more pathologists had made the diagnosis. Further categorisation into ulcerative colitis and Crohn's disease showed better recognition of ulcerative colitis. In the 19 cases of non-inflammatory bowel disease recognition of pseudomembranous colitis and solitary rectal ulcer syndrome was good, but the results were poorer in the case of infective colitis. CONCLUSION The findings suggest that a group of consultant pathologists can differentiate between inflammatory bowel disease and other causes of an abnormal rectal biopsy specimen and can also recognise pseudomembranous colitis and solitary rectal ulcer syndrome satisfactorily.
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Affiliation(s)
- A M Lessells
- Department of Pathology, Western General Hospital, Edinburgh, Scotland
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47
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Abstract
Debate continues as to the appropriateness of the Whipple procedure. This retrospective review confirms that it is a worthwhile operation when done by experienced surgeons on suitable patients. Meticulous intra-operative technique must be followed by judicious postoperative care. In this series of 27 Whipple operations major morbidity occurred in 26% of cases. Leakage from the pancreatic anastomosis was infrequent (11%). Various anastomotic techniques were used, depending on the findings at operation. There were no peri-operative deaths and five-year actuarial survival is 63%.
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Affiliation(s)
- A J Robertson
- Hepatobiliary Service, Royal Melbourne Hospital, Parkville, Victoria, Australia
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48
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Abstract
Extreme overloading of HPLC columns with sample can create a condition of binding site saturation causing competition and displacement among solutes during column elution. This has been termed solute-displacement chromatography (SD-HPLC). We present an example of this phenomenon for the preparative fractionation and purification of restriction fragments of almost identical size (1337 and 1388 bp) which cannot be resolved by agarose gel electrophoresis. Standard analytical ion-exchange HPLC chromatography failed to separate these fragments from each other and from an unexpectedly early eluting pUC-derived vector fragment of 2.7 kbp. We demonstrate that by intentional overloading of the small (4.6 x 35 mm) non-porous TSK-DEAE HPLC column, hundreds of micrograms of DNA restriction fragments could be resolved and purified in a single HPLC run of less than 30 minutes.
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Affiliation(s)
- J H Waterborg
- Division of Cell Biology and Biophysics, School of Biological Sciences, University of Missouri-Kansas City 64110-2499
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49
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Abstract
A prospective autopsy study of deaths of women who had been diagnosed previously as having cancer of the breast was performed between October 1986 and December 1990. During the study period 28 deaths occurred and nine of these (32%) were attributable directly to breast cancer; a figure similar to that found in our earlier retrospective study. In this study the autopsy findings in both the breast cancer and non-breast cancer deaths were recorded and five cases underwent post-mortem radiological skeletal survey to detect metastases. The findings confirm the role of the post mortem in modern medicine as a method of auditing clinical practice. Of particular importance, is the finding that the clinical presumption of disseminated breast cancer as a cause of 'terminal' illness in some patients may be misleading and dangerous, possibly denying some patients treatment of potentially remedial conditions by the institution of inappropriate terminal care.
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Affiliation(s)
- D M Parham
- Department of Pathology, Ninewells Hospital and Medical School, Dundee, Scotland, UK
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50
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Civitelli R, Beyer EC, Warlow PM, Robertson AJ, Geist ST, Steinberg TH. Connexin43 mediates direct intercellular communication in human osteoblastic cell networks. J Clin Invest 1993; 91:1888-96. [PMID: 8387535 PMCID: PMC288182 DOI: 10.1172/jci116406] [Citation(s) in RCA: 181] [Impact Index Per Article: 5.8] [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] [Indexed: 01/30/2023] Open
Abstract
We have examined cell coupling and expression of gap junction proteins in monolayer cultures of cells derived from human bone marrow stromal cells (BMC) and trabecular bone osteoblasts (HOB), and in the human osteogenic sarcoma cell line, SaOS-2. Both HOB and BMC cells were functionally coupled, since microinjection of Lucifer yellow resulted in dye transfer to neighboring cells, with averages of 3.4 +/- 2.8 (n = 131) and 8.1 +/- 9.3 (n = 51) coupled cells per injection, respectively. In contrast, little diffusion of Lucifer yellow was observed in SaOS-2 monolayers (1.4 +/- 1.8 coupled cells per injection, n = 100). Dye diffusion was inhibited by octanol (3.8 mM), an inhibitor of gap junctional communication. All of the osteoblastic cells expressed mRNA for connexin43 and connexin45, but not for connexins 26, 32, 37, 40, or 46. Whereas all of the osteoblastic cells expressed similar quantities of mRNA for connexin43, the poorly coupled SaOS-2 cells produced significantly less Cx43 protein than either HOB or BMC, as assessed by immunofluorescence and immunoprecipitation. Conversely, more Cx45 mRNA was expressed by SaOS-2 cells than by HOB or BMC. Thus, intercellular coupling in normal and transformed human osteoblastic cells correlates with the level of expression of Cx43, which appears to mediate intercellular communication in these cells. Gap junctional communication may serve as a means by which osteoblasts can work in synchrony and propagate locally generated signals throughout the skeletal tissue.
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Affiliation(s)
- R Civitelli
- Division of Endocrinology and Bone and Mineral Diseases, Jewish Hospital of St. Louis, Missouri 63110
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