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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, Sahinalp SC, Salcedo A, Schlesner M, Schumacher S, Sengupta S, Shi R, Shin SJ, Spiro O, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Stein LD, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Vázquez-García I, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Vembu S, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Wheeler DA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Yang TP, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Yao X, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Yuan K, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Zhu H, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Wang W, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Morris QD, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Spellman PT, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Wedge DC, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Van Loo P, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Spellman PT, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Wedge DC, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Van Loo P, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Aaltonen LA, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Abascal F, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Abeshouse A, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Aburatani H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Adams DJ, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Agrawal N, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Ahn KS, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Ahn SM, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Aikata H, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Akbani R, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Akdemir KC, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Al-Ahmadie H, 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, Al-Sedairy ST, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Al-Shahrour F, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Alawi M, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Albert M, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Aldape K, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Alexandrov LB, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Ally A, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Alsop K, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Alvarez EG, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Amary F, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Amin SB, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Aminou B, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ammerpohl O, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Anderson MJ, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Ang Y, 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, Antonello D, von Mering C, 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, 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Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, 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George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV. 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, 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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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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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Aaltonen LA, Abascal F, Abeshouse A, Aburatani H, Adams DJ, Agrawal N, Ahn KS, Ahn SM, Aikata H, Akbani R, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, 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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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4
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Loeffler-Wirth H, Kreuz M, Hopp L, Arakelyan A, Haake A, Cogliatti SB, Feller AC, Hansmann ML, Lenze D, Möller P, Müller-Hermelink HK, Fortenbacher E, Willscher E, Ott G, Rosenwald A, Pott C, Schwaenen C, Trautmann H, Wessendorf S, Stein H, Szczepanowski M, Trümper L, Hummel M, Klapper W, Siebert R, Loeffler M, Binder H. A modular transcriptome map of mature B cell lymphomas. Genome Med 2019; 11:27. [PMID: 31039827 PMCID: PMC6492344 DOI: 10.1186/s13073-019-0637-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 04/04/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Germinal center-derived B cell lymphomas are tumors of the lymphoid tissues representing one of the most heterogeneous malignancies. Here we characterize the variety of transcriptomic phenotypes of this disease based on 873 biopsy specimens collected in the German Cancer Aid MMML (Molecular Mechanisms in Malignant Lymphoma) consortium. They include diffuse large B cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt's lymphoma, mixed FL/DLBCL lymphomas, primary mediastinal large B cell lymphoma, multiple myeloma, IRF4-rearranged large cell lymphoma, MYC-negative Burkitt-like lymphoma with chr. 11q aberration and mantle cell lymphoma. METHODS We apply self-organizing map (SOM) machine learning to microarray-derived expression data to generate a holistic view on the transcriptome landscape of lymphomas, to describe the multidimensional nature of gene regulation and to pursue a modular view on co-expression. Expression data were complemented by pathological, genetic and clinical characteristics. RESULTS We present a transcriptome map of B cell lymphomas that allows visual comparison between the SOM portraits of different lymphoma strata and individual cases. It decomposes into one dozen modules of co-expressed genes related to different functional categories, to genetic defects and to the pathogenesis of lymphomas. On a molecular level, this disease rather forms a continuum of expression states than clearly separated phenotypes. We introduced the concept of combinatorial pattern types (PATs) that stratifies the lymphomas into nine PAT groups and, on a coarser level, into five prominent cancer hallmark types with proliferation, inflammation and stroma signatures. Inflammation signatures in combination with healthy B cell and tonsil characteristics associate with better overall survival rates, while proliferation in combination with inflammation and plasma cell characteristics worsens it. A phenotypic similarity tree is presented that reveals possible progression paths along the transcriptional dimensions. Our analysis provided a novel look on the transition range between FL and DLBCL, on DLBCL with poor prognosis showing expression patterns resembling that of Burkitt's lymphoma and particularly on 'double-hit' MYC and BCL2 transformed lymphomas. CONCLUSIONS The transcriptome map provides a tool that aggregates, refines and visualizes the data collected in the MMML study and interprets them in the light of previous knowledge to provide orientation and support in current and future studies on lymphomas and on other cancer entities.
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Affiliation(s)
- Henry Loeffler-Wirth
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - Markus Kreuz
- Institute for Medical Informatics, Statistics and Epidemiology, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - Lydia Hopp
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - Arsen Arakelyan
- Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, 7 Hasratyan str, 0014 Yerevan, Armenia
| | - Andrea Haake
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
| | - Sergio B. Cogliatti
- Institute of Pathology, Kantonal Hospital St. Gallen, Rorschacher Str. 95, 9007 St. Gallen, Switzerland
| | - Alfred C. Feller
- Hematopathology Lübeck, Maria-Goeppert-Str. 9a, 23562 Lübeck, Germany
| | - Martin-Leo Hansmann
- Institute of Pathology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Dido Lenze
- AstraZeneca, Tinsdaler Weg 183, 22880 Wedel, Germany
| | - Peter Möller
- Institute of Pathology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | | | - Erik Fortenbacher
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - Edith Willscher
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - German Ott
- Department of Pathology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376 Stuttgart, Germany
| | - Andreas Rosenwald
- Institute of Pathology, University Hospital Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany
| | - Christiane Pott
- Second Medical Department, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
| | - Carsten Schwaenen
- Ortenau Hospital Offenburg-Gengenbach, Ebertpl. 12, 77654 Offenburg, Germany
- Internal Medicine III, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Heiko Trautmann
- Second Medical Department, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
| | - Swen Wessendorf
- Internal Medicine III, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Hospital Esslingen, Hirschlandstr. 97, 73730 Esslingen a. N, Germany
| | - Harald Stein
- Pathodiagnostik, Komturstr. 58-62, 12099 Berlin, Germany
| | - Monika Szczepanowski
- Second Medical Department, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
| | - Lorenz Trümper
- Department of Hematology and Oncology, Georg-August University, Robert-Koch-Str. 42, 37077 Göttingen, Germany
| | - Michael Hummel
- Institute of Pathology, Charité Universitätsmedizin, Charitéplatz 1, 10117 Berlin, Germany
| | - Wolfram Klapper
- Hematopathology Section, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
| | - Reiner Siebert
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
- Institute of Human Genetics, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Markus Loeffler
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
- Institute for Medical Informatics, Statistics and Epidemiology, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - Hans Binder
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
| | - for the German Cancer Aid consortium Molecular Mechanisms for Malignant Lymphoma
- Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
- Institute for Medical Informatics, Statistics and Epidemiology, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany
- Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, 7 Hasratyan str, 0014 Yerevan, Armenia
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
- Institute of Pathology, Kantonal Hospital St. Gallen, Rorschacher Str. 95, 9007 St. Gallen, Switzerland
- Hematopathology Lübeck, Maria-Goeppert-Str. 9a, 23562 Lübeck, Germany
- Institute of Pathology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
- AstraZeneca, Tinsdaler Weg 183, 22880 Wedel, Germany
- Institute of Pathology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Institute of Pathology, University Hospital Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany
- Department of Pathology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376 Stuttgart, Germany
- Second Medical Department, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
- Ortenau Hospital Offenburg-Gengenbach, Ebertpl. 12, 77654 Offenburg, Germany
- Internal Medicine III, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Hospital Esslingen, Hirschlandstr. 97, 73730 Esslingen a. N, Germany
- Pathodiagnostik, Komturstr. 58-62, 12099 Berlin, Germany
- Department of Hematology and Oncology, Georg-August University, Robert-Koch-Str. 42, 37077 Göttingen, Germany
- Institute of Pathology, Charité Universitätsmedizin, Charitéplatz 1, 10117 Berlin, Germany
- Hematopathology Section, University Hospital Schleswig-Holstein, Arnold-Heller Str. 3, 24105 Kiel, Germany
- Institute of Human Genetics, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
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5
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López C, Kleinheinz K, Aukema SM, Rohde M, Bernhart SH, Hübschmann D, Wagener R, Toprak UH, Raimondi F, Kreuz M, Waszak SM, Huang Z, Sieverling L, Paramasivam N, Seufert J, Sungalee S, Russell RB, Bausinger J, Kretzmer H, Ammerpohl O, Bergmann AK, Binder H, Borkhardt A, Brors B, Claviez A, Doose G, Feuerbach L, Haake A, Hansmann ML, Hoell J, Hummel M, Korbel JO, Lawerenz C, Lenze D, Radlwimmer B, Richter J, Rosenstiel P, Rosenwald A, Schilhabel MB, Stein H, Stilgenbauer S, Stadler PF, Szczepanowski M, Weniger MA, Zapatka M, Eils R, Lichter P, Loeffler M, Möller P, Trümper L, Klapper W, Hoffmann S, Küppers R, Burkhardt B, Schlesner M, Siebert R. Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic Burkitt lymphoma. Nat Commun 2019; 10:1459. [PMID: 30926794 PMCID: PMC6440956 DOI: 10.1038/s41467-019-08578-3] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 01/18/2019] [Indexed: 12/17/2022] Open
Abstract
Burkitt lymphoma (BL) is the most common B-cell lymphoma in children. Within the International Cancer Genome Consortium (ICGC), we performed whole genome and transcriptome sequencing of 39 sporadic BL. Here, we unravel interaction of structural, mutational, and transcriptional changes, which contribute to MYC oncogene dysregulation together with the pathognomonic IG-MYC translocation. Moreover, by mapping IGH translocation breakpoints, we provide evidence that the precursor of at least a subset of BL is a B-cell poised to express IGHA. We describe the landscape of mutations, structural variants, and mutational processes, and identified a series of driver genes in the pathogenesis of BL, which can be targeted by various mechanisms, including IG-non MYC translocations, germline and somatic mutations, fusion transcripts, and alternative splicing. Burkitt lymphoma (BL) is the most common pediatric B-cell lymphoma. Here, within the International Cancer Genome Consortium, the authors performed whole genome and transcriptome sequencing of 39 sporadic BL, describing the landscape of mutations, structural variants, and mutational processes that underpin this disease how alterations on different cellular levels cooperate in deregulating key pathways and complexes.
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Affiliation(s)
- Cristina López
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany.,Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany
| | - Kortine Kleinheinz
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Department for Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and Bioquant, University of Heidelberg, 69120, Heidelberg, Germany
| | - Sietse M Aukema
- Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany.,Hematopathology Section, Christian-Albrechts-University, 24105, Kiel, Germany
| | - Marius Rohde
- Pediatric Hematology and Oncology, University Hospital Giessen, 35392, Giessen, Germany
| | - Stephan H Bernhart
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany.,Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany.,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany
| | - Daniel Hübschmann
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Department of Pediatric Immunology, Hematology and Oncology, University Hospital, 69120, Heidelberg, Germany.,German Cancer Research Center (DKFZ), Division of Stem Cells and Cancer, Heidelberg, Germany and Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120, Heidelberg, Germany
| | - Rabea Wagener
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany.,Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany
| | - Umut H Toprak
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Faculty of Biosciences, Heidelberg University, 69120, Heidelberg, Germany
| | - Francesco Raimondi
- Cell Networks, Bioquant and Biochemistry CenterBiochemie Zentrum Heidelberg (BZH), University of Heidelberg, 69120, Heidelberg, Germany
| | - Markus Kreuz
- Institute for Medical Informatics Statistics and Epidemiology, 04107, Leipzig, Germany
| | | | - Zhiqin Huang
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Lina Sieverling
- Faculty of Biosciences, Heidelberg University, 69120, Heidelberg, Germany.,Division of Applied Bioinformatics (G200), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Nagarajan Paramasivam
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Medical Faculty Heidelberg, Heidelberg University, 69120, Heidelber, Germany
| | - Julian Seufert
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | | | - Robert B Russell
- Cell Networks, Bioquant and Biochemistry CenterBiochemie Zentrum Heidelberg (BZH), University of Heidelberg, 69120, Heidelberg, Germany
| | - Julia Bausinger
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany
| | - Helene Kretzmer
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany.,Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany.,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany.,Department of Genome Regulation, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Ole Ammerpohl
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany
| | - Anke K Bergmann
- Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany.,Department of Pediatrics, University Hospital Schleswig-Holstein, Campus Kiel, 24105, Kiel, Germany
| | - Hans Binder
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany.,Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany
| | - Arndt Borkhardt
- Medical Faculty, Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine-University, 40225, Düsseldorf, Germany
| | - Benedikt Brors
- Division of Applied Bioinformatics (G200), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Alexander Claviez
- Department of Pediatrics, University Hospital Schleswig-Holstein, Campus Kiel, 24105, Kiel, Germany
| | - Gero Doose
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany.,Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany.,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany
| | - Lars Feuerbach
- Division of Applied Bioinformatics (G200), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Andrea Haake
- Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany
| | - Martin-Leo Hansmann
- Senckenberg Institute of Pathology, University of Frankfurt Medical School, 60590, Frankfurt am Main, Germany
| | - Jessica Hoell
- Medical Faculty, Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine-University, 40225, Düsseldorf, Germany
| | - Michael Hummel
- Institute of Pathology, Charité - University Medicine Berlin, 10117, Berlin, Germany
| | - Jan O Korbel
- Genome Biology Unit, EMBL Heidelberg, 69117, Heidelberg, Germany
| | - Chris Lawerenz
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Dido Lenze
- Institute of Pathology, Charité - University Medicine Berlin, 10117, Berlin, Germany
| | - Bernhard Radlwimmer
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Julia Richter
- Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany.,Hematopathology Section, Christian-Albrechts-University, 24105, Kiel, Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105, Kiel, Germany
| | - Andreas Rosenwald
- Institute of Pathology, Comprehensive Cancer Center Mainfranken, University of Würzburg, 97080, Würzburg, Germany
| | - Markus B Schilhabel
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105, Kiel, Germany
| | | | | | - Peter F Stadler
- Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany
| | | | - Marc A Weniger
- Institute of Cell Biology (Cancer Research), Medical School, University of Duisburg-Essen, 45147, Essen, Germany
| | - Marc Zapatka
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Department for Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and Bioquant, University of Heidelberg, 69120, Heidelberg, Germany
| | - Peter Lichter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Markus Loeffler
- Institute for Medical Informatics Statistics and Epidemiology, 04107, Leipzig, Germany
| | - Peter Möller
- Institute of Pathology, University of Ulm and University Hospital of Ulm, 89081, Ulm, Germany
| | - Lorenz Trümper
- Department of Hematology and Oncology, Georg-August-University of Göttingen, 37075, Göttingen, Germany
| | - Wolfram Klapper
- Hematopathology Section, Christian-Albrechts-University, 24105, Kiel, Germany
| | | | - Steve Hoffmann
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany.,Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany.,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany.,Computational Biology, Leibniz Institute on Ageing-Fritz Lipmann Institut (FLI), 07745, Jena, Germany
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), Medical School, University of Duisburg-Essen, 45147, Essen, Germany
| | - Birgit Burkhardt
- University Hospital Münster - Pediatric Hematology and Oncology, 48149, Münster, Germany
| | - Matthias Schlesner
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. .,Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany. .,Institute of Human Genetics, Christian-Albrechts-University, 24105, Kiel, Germany.
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6
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Zamò A, Pischimarov J, Schlesner M, Rosenstiel P, Bomben R, Horn H, Grieb T, Nedeva T, López C, Haake A, Richter J, Trümper L, Lawerenz C, Klapper W, Möller P, Hummel M, Lenze D, Szczepanowski M, Flossbach L, Schreder M, Gattei V, Ott G, Siebert R, Rosenwald A, Leich E. Differences between BCL2-break positive and negative follicular lymphoma unraveled by whole-exome sequencing. Leukemia 2017; 32:685-693. [PMID: 28824170 DOI: 10.1038/leu.2017.270] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 08/08/2017] [Indexed: 12/25/2022]
Abstract
Depending on disease stage follicular lymphoma (FL) lack the t(14;18) in ~15-~50% of cases. Nevertheless, most of these cases express BCL2. To elucidate mechanisms triggering BCL2 expression and promoting pathogenesis in t(14;18)-negative FL, exonic single-nucleotide variant (SNV) profiles of 28 t(14;18)-positive and 13 t(14;18)-negative FL were analyzed, followed by the integration of copy-number changes, copy-neutral LOH and published gene-expression data as well as the assessment of immunoglobulin N-glycosylation sites. Typical FL mutations also affected t(14;18)-negative FL. Curated gene set/pathway annotation of genes mutated in either t(14;18)-positive or t(14;18)-negative FL revealed a strong enrichment of same or similar gene sets but also a more prominent or exclusive enrichment of immune response and N-glycosylation signatures in t(14;18)-negative FL. Mutated genes showed high BCL2 association in both subgroups. Among the genes mutated in t(14;18)-negative FL 555 were affected by copy-number alterations and/or copy-neutral LOH and 96 were differently expressed between t(14;18)-positive and t(14;18)-negative FL (P<0.01). N-glycosylation sites were detected considerably less frequently in t(14;18)-negative FL. These results suggest a diverse portfolio of genetic alterations that may induce or regulate BCL2 expression or promote pathogenesis of t(14;18)-negative FL as well as a less specific but increased crosstalk with the microenvironment that may compensate for the lack of N-glycosylation.
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Affiliation(s)
- A Zamò
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Department of Diagnostic and Public Health, University of Verona, Verona, Italy.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - J Pischimarov
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - M Schlesner
- Theoretical Bioinformatics (B080), Computational Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - P Rosenstiel
- Institute for Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - R Bomben
- Department of Translational Research, CRO, Aviano, Italy
| | - H Horn
- Dr Margarete Fischer-Bosch-Institute for Clinical Pharmacology, Stuttgart, Germany
| | - T Grieb
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - T Nedeva
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - C López
- Institute for Human Genetics, University Hospital Ulm, Ulm, Germany.,Institute for Human Genetics, University Hospital Schleswig-Holstein, Kiel, Germany
| | - A Haake
- Institute for Human Genetics, University Hospital Schleswig-Holstein, Kiel, Germany
| | - J Richter
- Institute for Human Genetics, University Hospital Schleswig-Holstein, Kiel, Germany.,Institute of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - L Trümper
- Department of Hematology and Medical Oncology, University Hospital, Göttingen, Germany
| | - C Lawerenz
- Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - W Klapper
- Institute of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - P Möller
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
| | - M Hummel
- Institute of Pathology, Charité-University Hospital Berlin, Germany
| | - D Lenze
- Institute of Pathology, Charité-University Hospital Berlin, Germany
| | - M Szczepanowski
- Institute of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - L Flossbach
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - M Schreder
- Medizinische Klinik und Poliklinik II, University Hospital Würzburg, Würzburg, Germany
| | - V Gattei
- Department of Translational Research, CRO, Aviano, Italy
| | - G Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - R Siebert
- Institute for Human Genetics, University Hospital Ulm, Ulm, Germany.,Institute for Human Genetics, University Hospital Schleswig-Holstein, Kiel, Germany
| | - A Rosenwald
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - E Leich
- Institute of Pathology, University of Würzburg, Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, Würzburg, Germany
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7
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Varano G, Raffel S, Sormani M, Zanardi F, Lonardi S, Zasada C, Perucho L, Petrocelli V, Haake A, Lee AK, Bugatti M, Paul U, Van Anken E, Pasqualucci L, Rabadan R, Siebert R, Kempa S, Ponzoni M, Facchetti F, Rajewsky K, Casola S. The B-cell receptor controls fitness of MYC-driven lymphoma cells via GSK3β inhibition. Nature 2017; 546:302-306. [PMID: 28562582 DOI: 10.1038/nature22353] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 04/10/2017] [Indexed: 12/11/2022]
Abstract
Similar to resting mature B cells, where the B-cell antigen receptor (BCR) controls cellular survival, surface BCR expression is conserved in most mature B-cell lymphomas. The identification of activating BCR mutations and the growth disadvantage upon BCR knockdown of cells of certain lymphoma entities has led to the view that BCR signalling is required for tumour cell survival. Consequently, the BCR signalling machinery has become an established target in the therapy of B-cell malignancies. Here we study the effects of BCR ablation on MYC-driven mouse B-cell lymphomas and compare them with observations in human Burkitt lymphoma. Whereas BCR ablation does not, per se, significantly affect lymphoma growth, BCR-negative (BCR-) tumour cells rapidly disappear in the presence of their BCR-expressing (BCR+) counterparts in vitro and in vivo. This requires neither cellular contact nor factors released by BCR+ tumour cells. Instead, BCR loss induces the rewiring of central carbon metabolism, increasing the sensitivity of receptor-less lymphoma cells to nutrient restriction. The BCR attenuates glycogen synthase kinase 3 beta (GSK3β) activity to support MYC-controlled gene expression. BCR- tumour cells exhibit increased GSK3β activity and are rescued from their competitive growth disadvantage by GSK3β inhibition. BCR- lymphoma variants that restore competitive fitness normalize GSK3β activity after constitutive activation of the MAPK pathway, commonly through Ras mutations. Similarly, in Burkitt lymphoma, activating RAS mutations may propagate immunoglobulin-crippled tumour cells, which usually represent a minority of the tumour bulk. Thus, while BCR expression enhances lymphoma cell fitness, BCR-targeted therapies may profit from combinations with drugs targeting BCR- tumour cells.
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Affiliation(s)
- Gabriele Varano
- IFOM, the FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Simon Raffel
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine, 69120 Heidelberg, Germany
| | - Martina Sormani
- IFOM, the FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Federica Zanardi
- IFOM, the FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Silvia Lonardi
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, Spedali Civili, 25123 Brescia, Italy
| | - Christin Zasada
- Max-Delbrück-Center of Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
| | - Laura Perucho
- IFOM, the FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | | | - Andrea Haake
- Institute of Human Genetics, Christian-Albrechts-University Kiel, 24105 Kiel, Germany
| | - Albert K Lee
- Department of Systems Biology and Department of Biomedical Informatics, Columbia University, New York, New York 10027, USA
| | - Mattia Bugatti
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, Spedali Civili, 25123 Brescia, Italy
| | - Ulrike Paul
- Institute of Human Genetics, Christian-Albrechts-University Kiel, 24105 Kiel, Germany
| | - Eelco Van Anken
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Laura Pasqualucci
- Institute for Cancer Genetics and the Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York 10032, USA
| | - Raul Rabadan
- Department of Systems Biology and Department of Biomedical Informatics, Columbia University, New York, New York 10027, USA
| | - Reiner Siebert
- Institute of Human Genetics, Christian-Albrechts-University Kiel, 24105 Kiel, Germany.,Institute of Human Genetics, University Hospital of Ulm, 89081 Ulm, Germany
| | - Stefan Kempa
- Max-Delbrück-Center of Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
| | - Maurilio Ponzoni
- Ateneo Vita Salute and San Raffaele Scientific Institute, Pathology and Lymphoid Malignancies Units, 20132 Milan, Italy
| | - Fabio Facchetti
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, Spedali Civili, 25123 Brescia, Italy
| | - Klaus Rajewsky
- Max-Delbrück-Center of Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
| | - Stefano Casola
- IFOM, the FIRC Institute of Molecular Oncology, 20139 Milan, Italy
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8
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Hezaveh K, Kloetgen A, Bernhart SH, Mahapatra KD, Lenze D, Richter J, Haake A, Bergmann AK, Brors B, Burkhardt B, Claviez A, Drexler HG, Eils R, Haas S, Hoffmann S, Karsch D, Klapper W, Kleinheinz K, Korbel J, Kretzmer H, Kreuz M, Küppers R, Lawerenz C, Leich E, Loeffler M, Mantovani-Loeffler L, López C, McHardy AC, Möller P, Rohde M, Rosenstiel P, Rosenwald A, Schilhabel M, Schlesner M, Scholz I, Stadler PF, Stilgenbauer S, Sungalee S, Szczepanowski M, Trümper L, Weniger MA, Siebert R, Borkhardt A, Hummel M, Hoell JI. Alterations of microRNA and microRNA-regulated messenger RNA expression in germinal center B-cell lymphomas determined by integrative sequencing analysis. Haematologica 2016; 101:1380-1389. [PMID: 27390358 DOI: 10.3324/haematol.2016.143891] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 07/01/2016] [Indexed: 12/22/2022] Open
Abstract
MicroRNA are well-established players in post-transcriptional gene regulation. However, information on the effects of microRNA deregulation mainly relies on bioinformatic prediction of potential targets, whereas proof of the direct physical microRNA/target messenger RNA interaction is mostly lacking. Within the International Cancer Genome Consortium Project "Determining Molecular Mechanisms in Malignant Lymphoma by Sequencing", we performed miRnome sequencing from 16 Burkitt lymphomas, 19 diffuse large B-cell lymphomas, and 21 follicular lymphomas. Twenty-two miRNA separated Burkitt lymphomas from diffuse large B-cell lymphomas/follicular lymphomas, of which 13 have shown regulation by MYC. Moreover, we found expression of three hitherto unreported microRNA. Additionally, we detected recurrent mutations of hsa-miR-142 in diffuse large B-cell lymphomas and follicular lymphomas, and editing of the hsa-miR-376 cluster, providing evidence for microRNA editing in lymphomagenesis. To interrogate the direct physical interactions of microRNA with messenger RNA, we performed Argonaute-2 photoactivatable ribonucleoside-enhanced cross-linking and immunoprecipitation experiments. MicroRNA directly targeted 208 messsenger RNA in the Burkitt lymphomas and 328 messenger RNA in the non-Burkitt lymphoma models. This integrative analysis discovered several regulatory pathways of relevance in lymphomagenesis including Ras, PI3K-Akt and MAPK signaling pathways, also recurrently deregulated in lymphomas by mutations. Our dataset reveals that messenger RNA deregulation through microRNA is a highly relevant mechanism in lymphomagenesis.
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Affiliation(s)
- Kebria Hezaveh
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine-University, Medical Faculty, Düsseldorf, Germany
| | - Andreas Kloetgen
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine-University, Medical Faculty, Düsseldorf, Germany.,Department of Algorithmic Bioinformatics, Heinrich-Heine University, Duesseldorf, Germany
| | - Stephan H Bernhart
- Transcriptome Bioinformatics Group, LIFE Research Center for Civilization Diseases, University of Leipzig, Germany.,Bioinformatics Group, Department of Computer Science, University of Leipzig, Germany.,Interdisciplinary Center for Bioinformatics, University of Leipzig, Germany
| | - Kunal Das Mahapatra
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine-University, Medical Faculty, Düsseldorf, Germany
| | - Dido Lenze
- Institute of Pathology, Charité - University Medicine Berlin, Germany
| | - Julia Richter
- Institute of Human Genetics, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Andrea Haake
- Institute of Human Genetics, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Anke K Bergmann
- Institute of Human Genetics, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Benedikt Brors
- Division Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Birgit Burkhardt
- Department of Pediatric Hematology and Oncology, University Hospital Münster, Germany
| | - Alexander Claviez
- Department of Pediatrics, University Hospital Schleswig-Holstein, Campus Kiel, Germany
| | - Hans G Drexler
- Department of Human and Animal Cell Cultures, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology and Bioquant, Heidelberg University, Germany
| | - Siegfried Haas
- Friedrich-Ebert Hospital Neumünster, Clinics for Hematology, Oncology and Nephrology, Neumünster, Germany
| | - Steve Hoffmann
- Transcriptome Bioinformatics Group, LIFE Research Center for Civilization Diseases, University of Leipzig, Germany.,Bioinformatics Group, Department of Computer Science, University of Leipzig, Germany
| | - Dennis Karsch
- Department of Internal Medicine II: Hematology and Oncology, University Medical Centre, Campus Kiel, Germany
| | - Wolfram Klapper
- Hematopathology Section, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Kortine Kleinheinz
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jan Korbel
- EMBL Heidelberg, Genome Biology, Heidelberg, Germany
| | - Helene Kretzmer
- Transcriptome Bioinformatics Group, LIFE Research Center for Civilization Diseases, University of Leipzig, Germany.,Bioinformatics Group, Department of Computer Science, University of Leipzig, Germany
| | - Markus Kreuz
- Institute for Medical Informatics Statistics and Epidemiology, Leipzig, Germany
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany
| | - Chris Lawerenz
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ellen Leich
- Institute of Pathology, University of Würzburg, and Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - Markus Loeffler
- Institute for Medical Informatics Statistics and Epidemiology, Leipzig, Germany
| | | | - Cristina López
- Institute of Human Genetics, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Alice C McHardy
- Department of Algorithmic Bioinformatics, Heinrich-Heine University, Duesseldorf, Germany.,Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
| | - Peter Möller
- Institute of Pathology, Medical Faculty of the Ulm University, Germany
| | - Marius Rohde
- Department of Pediatric Hematology and Oncology University Hospital Giessen, Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Andreas Rosenwald
- Institute of Pathology, University of Würzburg, and Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - Markus Schilhabel
- Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Matthias Schlesner
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ingrid Scholz
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter F Stadler
- Transcriptome Bioinformatics Group, LIFE Research Center for Civilization Diseases, University of Leipzig, Germany.,Bioinformatics Group, Department of Computer Science, University of Leipzig, Germany.,Interdisciplinary Center for Bioinformatics, University of Leipzig, Germany.,RNomics Group, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig, Germany.,Max-Planck-Institute for Mathematics in Sciences, Leipzig, Germany.,Santa Fe Institute, NM, USA
| | | | | | - Monika Szczepanowski
- Hematopathology Section, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Lorenz Trümper
- Department of Hematology and Oncology, Georg-August-University of Göttingen, Germany
| | - Marc A Weniger
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany
| | - Reiner Siebert
- Institute of Human Genetics, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel, Germany
| | - Arndt Borkhardt
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine-University, Medical Faculty, Düsseldorf, Germany
| | - Michael Hummel
- Institute of Pathology, Charité - University Medicine Berlin, Germany
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9
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Bens S, Kolarova J, Beygo J, Buiting K, Caliebe A, Eggermann T, Gillessen-Kaesbach G, Prawitt D, Thiele-Schmitz S, Begemann M, Enklaar T, Gutwein J, Haake A, Paul U, Richter J, Soellner L, Vater I, Monk D, Horsthemke B, Ammerpohl O, Siebert R. Phenotypic spectrum and extent of DNA methylation defects associated with multilocus imprinting disturbances. Epigenomics 2016; 8:801-16. [PMID: 27323310 DOI: 10.2217/epi-2016-0007] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
AIM To characterize the genotypic and phenotypic extent of multilocus imprinting disturbances (MLID). MATERIALS & METHODS We analyzed 37 patients with imprinting disorders (explorative cohort) for DNA methylation changes using the Infinium HumanMethylation450 BeadChip. For validation, three independent cohorts with imprinting disorders or cardinal features thereof were analyzed (84 patients with imprinting disorders, 52 with growth disorder, 81 with developmental delay). RESULTS In the explorative cohort 21 individuals showed array-based MLID with each one displaying an Angelman or Temple syndrome phenotype, respectively. Epimutations in ZDBF2 and FAM50B were associated with severe MLID regarding number of affected regions. By targeted analysis we identified methylation changes of ZDBF2 and FAM50B also in the three validation cohorts. CONCLUSION We corroborate epimutations in ZDBF2 and FAM50B as frequent changes in MLID whereas these rarely occur in other patients with cardinal features of imprinting disorders. Moreover, we show cell lineage specific differences in the genomic extent of FAM50B epimutation.
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Affiliation(s)
- Susanne Bens
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Julia Kolarova
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Jasmin Beygo
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, D 45122 Essen, Germany
| | - Karin Buiting
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, D 45122 Essen, Germany
| | - Almuth Caliebe
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Thomas Eggermann
- Institute of Human Genetics, University Hospital Aachen, D 52074 Aachen, Germany
| | | | - Dirk Prawitt
- Section of Molecular Pediatrics University Medical Centre of the Johannes Gutenberg-University Mainz, D 55131 Mainz, Germany
| | - Susanne Thiele-Schmitz
- Division of Experimental Paediatric Endocrinology & Diabetes, Department of Paediatrics, University of Lübeck, D 23562 Lübeck, Germany
| | - Matthias Begemann
- Institute of Human Genetics, University Hospital Aachen, D 52074 Aachen, Germany
| | - Thorsten Enklaar
- Section of Molecular Pediatrics University Medical Centre of the Johannes Gutenberg-University Mainz, D 55131 Mainz, Germany
| | - Jana Gutwein
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Andrea Haake
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Ulrike Paul
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Julia Richter
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Lukas Soellner
- Institute of Human Genetics, University Hospital Aachen, D 52074 Aachen, Germany
| | - Inga Vater
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - David Monk
- Institut d'Investigació Biomedica de Bellvitge (IDIBELL), Cancer Epigenetic & Biology Program (PEBC), Catalan Institute of Oncology, Hospital Duran i Reynals Barcelona, Barcelona, ES 08907, Spain
| | - Bernhard Horsthemke
- Institut für Humangenetik, Universitätsklinikum Essen, Universität Duisburg-Essen, D 45122 Essen, Germany
| | - Ole Ammerpohl
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Christian-Albrechts-University Kiel & University Hospital Schleswig-Holstein, Campus Kiel, D 24105 Kiel, Germany
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10
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Szczepanowski M, Masqué-Soler N, Schlesner M, Haake A, Richter J, Wagener R, Burkhardt B, Kreuz M, Siebert R, Klapper W. Immunohistochemical detection of inhibitor of DNA binding 3 mutational variants in mature aggressive B-cell lymphoma. Haematologica 2016; 101:e259-61. [PMID: 26992947 DOI: 10.3324/haematol.2015.138701] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Monika Szczepanowski
- Institute of Pathology, Hematopathology Section and Lymph Node Registry, University Hospital Schleswig-Holstein Campus Kiel, Christian-Albrechts University Kiel, Germany
| | - Neus Masqué-Soler
- Institute of Pathology, Hematopathology Section and Lymph Node Registry, University Hospital Schleswig-Holstein Campus Kiel, Christian-Albrechts University Kiel, Germany
| | - Matthias Schlesner
- Division of Theoretical Bioinformatics, Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Germany
| | - Andrea Haake
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Müenster, Germany
| | - Julia Richter
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Müenster, Germany
| | - Rabea Wagener
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Müenster, Germany
| | - Birgit Burkhardt
- NHL-BFM Study Center and Department of Pediatric Hematology and Oncology, University Children's Hospital, Müenster, Germany
| | - Markus Kreuz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany
| | - Reiner Siebert
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Müenster, Germany
| | | | - Wolfram Klapper
- Institute of Pathology, Hematopathology Section and Lymph Node Registry, University Hospital Schleswig-Holstein Campus Kiel, Christian-Albrechts University Kiel, Germany
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11
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Kretzmer H, Bernhart SH, Wang W, Haake A, Weniger MA, Bergmann AK, Betts MJ, Carrillo-de-Santa-Pau E, Doose G, Gutwein J, Richter J, Hovestadt V, Huang B, Rico D, Jühling F, Kolarova J, Lu Q, Otto C, Wagener R, Arnolds J, Burkhardt B, Claviez A, Drexler HG, Eberth S, Eils R, Flicek P, Haas S, Humme M, Karsch D, Kerstens HH, Klapper W, Kreuz M, Lawerenz C, Lenzek D, Loeffler M, López C, MacLeod RA, Martens JH, Kulis M, Martín-Subero JI, Möller P, Nage I, Picelli S, Vater I, Rohde M, Rosenstiel P, Rosolowski M, Russell RB, Schilhabel M, Schlesner M, Stadler PF, Szczepanowski M, Trümper L, Stunnenberg HG, Küppers R, Ammerpohl O, Lichter P, Siebert R, Hoffmann S, Radlwimmer B. DNA methylome analysis in Burkitt and follicular lymphomas identifies differentially methylated regions linked to somatic mutation and transcriptional control. Nat Genet 2015; 47:1316-1325. [PMID: 26437030 PMCID: PMC5444523 DOI: 10.1038/ng.3413] [Citation(s) in RCA: 101] [Impact Index Per Article: 11.2] [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: 06/01/2015] [Accepted: 09/08/2015] [Indexed: 12/14/2022]
Abstract
Although Burkitt lymphomas and follicular lymphomas both have features of germinal center B cells, they are biologically and clinically quite distinct. Here we performed whole-genome bisulfite, genome and transcriptome sequencing in 13 IG-MYC translocation-positive Burkitt lymphoma, nine BCL2 translocation-positive follicular lymphoma and four normal germinal center B cell samples. Comparison of Burkitt and follicular lymphoma samples showed differential methylation of intragenic regions that strongly correlated with expression of associated genes, for example, genes active in germinal center dark-zone and light-zone B cells. Integrative pathway analyses of regions differentially methylated in Burkitt and follicular lymphomas implicated DNA methylation as cooperating with somatic mutation of sphingosine phosphate signaling, as well as the TCF3-ID3 and SWI/SNF complexes, in a large fraction of Burkitt lymphomas. Taken together, our results demonstrate a tight connection between somatic mutation, DNA methylation and transcriptional control in key B cell pathways deregulated differentially in Burkitt lymphoma and other germinal center B cell lymphomas.
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Affiliation(s)
- Helene Kretzmer
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
- German ICGC MMML-Seq-project
| | - Stephan H. Bernhart
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
- German ICGC MMML-Seq-project
| | - Wei Wang
- German Cancer Research Center (DKFZ), Division Molecular Genetics, Heidelberg, Germany
| | - Andrea Haake
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Marc A. Weniger
- German ICGC MMML-Seq-project
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany
| | - Anke K. Bergmann
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
- Department of Pediatrics, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
- BLUEPRINT project
| | - Matthew J. Betts
- Cell Networks, Bioquant, University of Heidelberg, Heidelberg, Germany
| | - Enrique Carrillo-de-Santa-Pau
- BLUEPRINT project
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Gero Doose
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
- German ICGC MMML-Seq-project
| | - Jana Gutwein
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Julia Richter
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Volker Hovestadt
- German Cancer Research Center (DKFZ), Division Molecular Genetics, Heidelberg, Germany
| | - Bingding Huang
- Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Division Theoretical Bioinformatics, Heidelberg, Germany
| | - Daniel Rico
- BLUEPRINT project
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Frank Jühling
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
| | - Julia Kolarova
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Qianhao Lu
- Cell Networks, Bioquant, University of Heidelberg, Heidelberg, Germany
| | - Christian Otto
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
| | - Rabea Wagener
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Judith Arnolds
- Department of Otorhinolaryngology, University of Duisburg-Essen, Essen, Germany
| | - Birgit Burkhardt
- German ICGC MMML-Seq-project
- University Hospital Muenster - Pediatric Hematology and Oncology, Münster Germany
| | - Alexander Claviez
- German ICGC MMML-Seq-project
- Department of Pediatrics, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Hans G. Drexler
- Leibniz-Institut DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Sonja Eberth
- German ICGC MMML-Seq-project
- Leibniz-Institut DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- Department of Hematology and Oncology, Georg-Augusts-University of Göttingen, Göttingen, Germany
| | - Roland Eils
- German ICGC MMML-Seq-project
- Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Division Theoretical Bioinformatics, Heidelberg, Germany
- Institute of Pharmacy and Molecular Biotechnology, Bioquant, University of Heidelberg, Heidelberg, Germany
| | - Paul Flicek
- BLUEPRINT project
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Siegfried Haas
- German ICGC MMML-Seq-project
- Friedrich-Ebert Hospital Neumuenster, Clinics for Haematology, Oncology and Nephrology, Neumünster, Germany
| | - Michael Humme
- German ICGC MMML-Seq-project
- Institute of Pathology, Charité – University Medicine Berlin, Berlin, Germany
| | - Dennis Karsch
- German ICGC MMML-Seq-project
- Department of Internal Medicine II: Hematology and Oncology, University Medical Centre, Campus Kiel, Kiel, Germany
| | - Hinrik H.D. Kerstens
- BLUEPRINT project
- Radboud University, Department of Molecular Biology, Faculty of Science, Nijmegen, Netherlands
| | - Wolfram Klapper
- German ICGC MMML-Seq-project
- Hematopathology Section, Christian-Albrechts-University, Kiel, Germany
| | - Markus Kreuz
- German ICGC MMML-Seq-project
- BLUEPRINT project
- Institute for Medical Informatics Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Chris Lawerenz
- German ICGC MMML-Seq-project
- Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Division Theoretical Bioinformatics, Heidelberg, Germany
| | - Dido Lenzek
- German ICGC MMML-Seq-project
- Institute of Pathology, Charité – University Medicine Berlin, Berlin, Germany
| | - Markus Loeffler
- German ICGC MMML-Seq-project
- BLUEPRINT project
- Institute for Medical Informatics Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Cristina López
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Roderick A.F. MacLeod
- Leibniz-Institut DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Joost H.A. Martens
- BLUEPRINT project
- Radboud University, Department of Molecular Biology, Faculty of Science, Nijmegen, Netherlands
| | - Marta Kulis
- BLUEPRINT project
- Radboud University, Department of Molecular Biology, Faculty of Science, Nijmegen, Netherlands
| | - José Ignacio Martín-Subero
- BLUEPRINT project
- Departamento de Anatomía Patológica, Farmacología y Microbiología, Universitat de Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Peter Möller
- German ICGC MMML-Seq-project
- Institute of Pathology, Medical Faculty of the Ulm University, Ulm, Germany
| | - Inga Nage
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Simone Picelli
- German Cancer Research Center (DKFZ), Division Molecular Genetics, Heidelberg, Germany
| | - Inga Vater
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Marius Rohde
- German ICGC MMML-Seq-project
- University Hospital Giessen, Pediatric Hematology and Oncology, Giessen, Germany
| | - Philip Rosenstiel
- German ICGC MMML-Seq-project
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Maciej Rosolowski
- German ICGC MMML-Seq-project
- Institute for Medical Informatics Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Robert B. Russell
- Cell Networks, Bioquant, University of Heidelberg, Heidelberg, Germany
| | - Markus Schilhabel
- German ICGC MMML-Seq-project
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Matthias Schlesner
- German ICGC MMML-Seq-project
- Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Division Theoretical Bioinformatics, Heidelberg, Germany
| | - Peter F. Stadler
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
- German ICGC MMML-Seq-project
- RNomics Group, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig, Germany
- Santa Fe Institute, Santa Fe, New Mexico, United States of America
- Max-Planck-Institute for Mathematics in Sciences, Leipzig, Germany
| | | | - Lorenz Trümper
- German ICGC MMML-Seq-project
- Department of Hematology and Oncology, Georg-Augusts-University of Göttingen, Göttingen, Germany
| | - Hendrik G. Stunnenberg
- BLUEPRINT project
- Radboud University, Department of Molecular Biology, Faculty of Science, Nijmegen, Netherlands
| | - Ralf Küppers
- German ICGC MMML-Seq-project
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany
- BLUEPRINT project
| | - Ole Ammerpohl
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Peter Lichter
- German ICGC MMML-Seq-project
- German Cancer Research Center (DKFZ), Division Molecular Genetics, Heidelberg, Germany
| | - Reiner Siebert
- German ICGC MMML-Seq-project
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
- BLUEPRINT project
| | - Steve Hoffmann
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany
- German ICGC MMML-Seq-project
- BLUEPRINT project
| | - Bernhard Radlwimmer
- German ICGC MMML-Seq-project
- German Cancer Research Center (DKFZ), Division Molecular Genetics, Heidelberg, Germany
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12
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Wagener R, Aukema SM, Schlesner M, Haake A, Burkhardt B, Claviez A, Drexler HG, Hummel M, Kreuz M, Loeffler M, Rosolowski M, López C, Möller P, Richter J, Rohde M, Betts MJ, Russell RB, Bernhart SH, Hoffmann S, Rosenstiel P, Schilhabel M, Szczepanowski M, Trümper L, Klapper W, Siebert R. ThePCBP1gene encoding poly(rc) binding protein i is recurrently mutated in Burkitt lymphoma. Genes Chromosomes Cancer 2015; 54:555-64. [DOI: 10.1002/gcc.22268] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 05/11/2015] [Indexed: 12/19/2022] Open
Affiliation(s)
- Rabea Wagener
- Institute of Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein; Campus Kiel Kiel Germany
| | - Sietse M. Aukema
- Institute of Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein; Campus Kiel Kiel Germany
| | - Matthias Schlesner
- Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Division Theoretical Bioinformatics; Heidelberg Germany
| | - Andrea Haake
- Institute of Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein; Campus Kiel Kiel Germany
| | - Birgit Burkhardt
- Non-Hodgkin Lymphoma Berlin-Frankfurt-Münster Group Study Center, Department of Pediatric Hematology and Oncology, University Children's Hospital; Münster Germany
| | - Alexander Claviez
- Department of Pediatrics; University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University; Kiel Germany
| | - Hans G. Drexler
- Leibniz-Institute DSMZ- German Collection of Microorganisms and Cell Cultures GmbH; Braunschweig Germany
| | - Michael Hummel
- Institute of Pathology, Campus Benjamin Franklin, Charité-Universitätsmedizin; Berlin Germany
| | - Markus Kreuz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig; Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig; Germany
| | - Maciej Rosolowski
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig; Germany
| | - Cristina López
- Institute of Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein; Campus Kiel Kiel Germany
| | - Peter Möller
- Institute of Pathology, Universitätsklinikum Ulm; Ulm Germany
| | - Julia Richter
- Institute of Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein; Campus Kiel Kiel Germany
| | - Marius Rohde
- Department of Pediatric Hematology and Oncology; Justus Liebig University; Giessen Germany
| | - Matthew J. Betts
- Cell Networks, Bioquant, University of Heidelberg; Heidelberg Germany
| | - Robert B. Russell
- Cell Networks, Bioquant, University of Heidelberg; Heidelberg Germany
| | - Stephan H. Bernhart
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig; Leipzig Germany
| | - Steve Hoffmann
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig; Leipzig Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel; Kiel Germany
| | - Markus Schilhabel
- Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel; Kiel Germany
| | - Monika Szczepanowski
- Institute of Hematopathology, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel; Germany
| | - Lorenz Trümper
- Department of Hematology and Oncology; Georg-August University of Göttingen; Germany
| | - Wolfram Klapper
- Institute of Hematopathology, University Hospital Schleswig-Holstein Campus Kiel/Christian-Albrechts University Kiel; Germany
| | - Reiner Siebert
- Institute of Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein; Campus Kiel Kiel Germany
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13
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Wagener R, Alexandrov LB, Montesinos-Rongen M, Schlesner M, Haake A, Drexler HG, Richter J, Bignell GR, McDermott U, Siebert R. Analysis of mutational signatures in exomes from B-cell lymphoma cell lines suggest APOBEC3 family members to be involved in the pathogenesis of primary effusion lymphoma. Leukemia 2015; 29:1612-5. [DOI: 10.1038/leu.2015.22] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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14
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Caliebe A, Richter J, Ammerpohl O, Kanber D, Beygo J, Bens S, Haake A, Jüttner E, Korn B, Mackay DJG, Martin-Subero JI, Nagel I, Sebire NJ, Seidmann L, Vater I, von Kaisenberg CS, Temple IK, Horsthemke B, Buiting K, Siebert R. A familial disorder of altered DNA-methylation. J Med Genet 2014; 51:407-12. [DOI: 10.1136/jmedgenet-2013-102149] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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15
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Bergmann AK, Schneppenheim S, Seifert M, Betts MJ, Haake A, Lopez C, Maria Murga Penas E, Vater I, Jayne S, Dyer MJS, Schrappe M, Dührsen U, Ammerpohl O, Russell RB, Küppers R, Dürig J, Siebert R. Recurrent mutation of JAK3 in T-cell prolymphocytic leukemia. Genes Chromosomes Cancer 2014; 53:309-16. [PMID: 24446122 DOI: 10.1002/gcc.22141] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Accepted: 12/09/2013] [Indexed: 01/19/2023] Open
Abstract
T-cell prolymphocytic leukemia (T-PLL) is an aggressive post-thymic T-cell malignancy characterized by the recurrent inv(14)(q11q32)/t(14;14)(q11;q32) or t(X;14)(q28;q11) leading to activation of either the TCL1 or MTCP1 gene, respectively. However, these primary genetic events are insufficient to drive leukemogenesis. Recently, activating mutations in JAK3 have been identified in other T-cell malignancies. Since JAK3 is essential for T-cell maturation, we analyzed a cohort of 32 T-PLL patients for mutational hot spots in the JAK3 gene using a step-wise screening approach. We identified 14 mutations in 11 of 32 patients (34%). The most frequently detected mutation in our cohort was M511I (seen in 57% of cases) previously described as an activating change in other T-cell malignancies. Three patients carried two mutations in JAK3. In two patients M511I and R657Q were simultaneously detected and in another patient V674F and V678L. In the latter case we could demonstrate that the mutations were on the same allele in cis. Protein modeling and homology analyses of mutations present in other members of the JAK family suggested that these mutations likely activate JAK3, possibly by disrupting the activation loop and the interface between N and C lobes, increasing the accessibility of the catalytic loop. In addition, four of the 21 patients lacking a JAK3 point mutation presented an aberrant karyotype involving the chromosomal band 19p13 harboring the JAK3 locus. The finding of recurrent activating JAK3 mutations in patients with T-PLL could enable the use of JAK3 inhibitors to treat patients with this unfavorable malignancy who otherwise have a very poor prognosis.
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Affiliation(s)
- Anke K Bergmann
- Institute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany; Department of Pediatrics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Schmidt J, Salaverria I, Haake A, Bonzheim I, Adam P, Montes-Moreno S, Piris MA, Fend F, Siebert R, Quintanilla-Martinez L. Increasing genomic and epigenomic complexity in the clonal evolution from in situ to manifest t(14;18)-positive follicular lymphoma. Leukemia 2013; 28:1103-12. [DOI: 10.1038/leu.2013.307] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Accepted: 10/15/2013] [Indexed: 12/30/2022]
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17
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Barbaro M, Bens S, Haake A, Peter M, Brämswig J, Holterhus PM, Lopez-Siguero JP, Menken U, Mix M, Sippell WG, Wedell A, Riepe FG. Multiplex ligation-dependent probe amplification analysis of the NR0B1(DAX1) locus enables explanation of phenotypic differences in patients with X-linked congenital adrenal hypoplasia. Horm Res Paediatr 2012; 77:100-7. [PMID: 22456342 DOI: 10.1159/000336344] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2011] [Accepted: 01/09/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIM X-linked adrenal hypoplasia congenita (AHC) is a rare disorder characterized by primary adrenal insufficiency and hypogonadic hypogonadism. It is caused by deletions or point mutations of the NR0B1 gene, on Xp21. AHC can be associated with glycerol kinase deficiency, Duchenne muscular dystrophy and mental retardation (MR), as part of a contiguous gene deletion syndrome. A synthetic probe set for multiplex ligation-dependent probe amplification analysis was developed to confirm and characterize NR0B1 deletions in patients with AHC and to correlate their genotypes with their divergent phenotypes. RESULTS In 2 patients, isolated AHC was confirmed, while a patient at risk for metabolic crisis was revealed as the deletion extends to the GK gene. A deletion extending to IL1RAPL1 was confirmed in both patients showing MR. Thus, a good genotype-phenotype correlation was confirmed. CONCLUSIONS Multiplex ligation-dependent probe amplification analysis is a valuable tool to detect NR0B1 and contiguous gene deletions in patients with AHC. It is especially helpful for IL1RAPL1 deletion detection as no clinical markers for MR are available. Furthermore, multiplex ligation-dependent probe amplification has the advantage to identify female carriers that, depending on the deletion extension, have a high risk of giving birth to children with MR, AHC, glycerol kinase deficiency and Duchenne muscular dystrophy.
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Affiliation(s)
- Michela Barbaro
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
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18
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Ammerpohl O, Haake A, Pellissery S, Giefing M, Richter J, Balint B, Kulis M, Le J, Bibikova M, Drexler HG, Seifert M, Shaknovic R, Korn B, Küppers R, Martín-Subero JI, Siebert R. Array-based DNA methylation analysis in classical Hodgkin lymphoma reveals new insights into the mechanisms underlying silencing of B cell-specific genes. Leukemia 2011; 26:185-8. [DOI: 10.1038/leu.2011.194] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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19
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Ammerpohl O, Pratschke J, Schafmayer C, Haake A, Faber W, von Kampen O, Brosch M, Sipos B, von Schönfels W, Balschun K, Röcken C, Arlt A, Schniewind B, Grauholm J, Kalthoff H, Neuhaus P, Stickel F, Schreiber S, Becker T, Siebert R, Hampe J. Distinct DNA methylation patterns in cirrhotic liver and hepatocellular carcinoma. Int J Cancer 2011; 130:1319-28. [PMID: 21500188 DOI: 10.1002/ijc.26136] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2010] [Accepted: 03/16/2011] [Indexed: 12/17/2022]
Abstract
Abberrant DNA methylation is one of the hallmarks of cancerogenesis. Our study aims to delineate differential DNA methylation in cirrhosis and hepatic cancerogenesis. Patterns of methylation of 27,578 individual CpG loci in 12 hepatocellular carcinomas (HCCs), 15 cirrhotic controls and 12 normal liver samples were investigated using an array-based technology. A supervised principal component analysis (PCA) revealed 167 hypomethylated loci and 100 hypermethylated loci in cirrhosis and HCC as compared to normal controls. Thus, these loci show a "cirrhotic" methylation pattern that is maintained in HCC. In pairwise supervised PCAs between normal liver, cirrhosis and HCC, eight loci were significantly changed in all analyses differentiating the three groups (p < 0.0001). Of these, five loci showed highest methylation levels in HCC and lowest in control tissue (LOC55908, CELSR1, CRMP1, GNRH2, ALOX12 and ANGPTL7), whereas two loci showed the opposite direction of change (SPRR3 and TNFSF15). Genes hypermethylated between normal liver to cirrhosis, which maintain this methylation pattern during the development of HCC, are depleted for CpG islands, high CpG content promoters and polycomb repressive complex 2 (PRC2) targets in embryonic stem cells. In contrast, genes selectively hypermethylated in HCC as compared to nonmalignant samples showed an enrichment of CpG islands, high CpG content promoters and PRC2 target genes (p < 0.0001). Cirrhosis and HCC show distinct patterns of differential methylation with regards to promoter structure, PRC2 targets and CpG islands.
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Affiliation(s)
- Ole Ammerpohl
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University, Kiel, Germany
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20
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Herrmann A, Haake A, Ammerpohl O, Martin-Guerrero I, Szafranski K, Stemshorn K, Nothnagel M, Kotsopoulos SK, Richter J, Warner J, Olson J, Link DR, Schreiber S, Krawczak M, Platzer M, Nürnberg P, Siebert R, Hampe J. Pipeline for large-scale microdroplet bisulfite PCR-based sequencing allows the tracking of hepitype evolution in tumors. PLoS One 2011; 6:e21332. [PMID: 21750708 PMCID: PMC3130030 DOI: 10.1371/journal.pone.0021332] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2011] [Accepted: 05/27/2011] [Indexed: 12/26/2022] Open
Abstract
Cytosine methylation provides an epigenetic level of cellular plasticity that is important for development, differentiation and cancerogenesis. We adopted microdroplet PCR to bisulfite treated target DNA in combination with second generation sequencing to simultaneously assess DNA sequence and methylation. We show measurement of methylation status in a wide range of target sequences (total 34 kb) with an average coverage of 95% (median 100%) and good correlation to the opposite strand (rho = 0.96) and to pyrosequencing (rho = 0.87). Data from lymphoma and colorectal cancer samples for SNRPN (imprinted gene), FGF6 (demethylated in the cancer samples) and HS3ST2 (methylated in the cancer samples) serve as a proof of principle showing the integration of SNP data and phased DNA-methylation information into “hepitypes” and thus the analysis of DNA methylation phylogeny in the somatic evolution of cancer.
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Affiliation(s)
- Alexander Herrmann
- Institute of Internal Medicine I, Christian-Albrechts University, Kiel, Germany
| | - Andrea Haake
- Institute of Human Genetics, Christian-Albrechts University, Kiel, Germany
| | - Ole Ammerpohl
- Institute of Human Genetics, Christian-Albrechts University, Kiel, Germany
| | | | - Karol Szafranski
- Genome Analysis Group, Fritz-Lipman Institute for Ageing Research, Jena, Germany
| | - Kathryn Stemshorn
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Michael Nothnagel
- Institute of Medical Informatics and Statistics, Christian-Albrechts University, Kiel, Germany
| | | | - Julia Richter
- Institute of Human Genetics, Christian-Albrechts University, Kiel, Germany
| | - Jason Warner
- RainDance Technologies, Lexington, Massachusetts, United States of America
| | - Jeff Olson
- RainDance Technologies, Lexington, Massachusetts, United States of America
| | - Darren R. Link
- Institute of Medical Informatics and Statistics, Christian-Albrechts University, Kiel, Germany
| | - Stefan Schreiber
- Institute of Internal Medicine I, Christian-Albrechts University, Kiel, Germany
| | - Michael Krawczak
- Institute of Medical Informatics and Statistics, Christian-Albrechts University, Kiel, Germany
| | - Matthias Platzer
- Genome Analysis Group, Fritz-Lipman Institute for Ageing Research, Jena, Germany
| | - Peter Nürnberg
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Christian-Albrechts University, Kiel, Germany
| | - Jochen Hampe
- Institute of Internal Medicine I, Christian-Albrechts University, Kiel, Germany
- * E-mail:
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21
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Pellissery S, Richter J, Haake A, Montesinos-Rongen M, Deckert M, Siebert R. Somatic mutations altering Tyr641 of EZH2 are rare in primary central nervous system lymphoma. Leuk Lymphoma 2010; 51:2135-6. [PMID: 20858097 DOI: 10.3109/10428194.2010.510897] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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22
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Eckmann-Scholz C, Gesk S, Nagel I, Haake A, Bens S, Heidemann S, Kautza M, Timke C, Siebert R, Caliebe A. Conflicting results of prenatal FISH with different probes for Down's Syndrome critical regions associated with mosaicism for a de novo del(21)(q22) characterised by molecular karyotyping: Case report. Mol Cytogenet 2010; 3:16. [PMID: 20815924 PMCID: PMC2944126 DOI: 10.1186/1755-8166-3-16] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2010] [Accepted: 09/05/2010] [Indexed: 11/10/2022] Open
Abstract
For the rapid detection of common aneuploidies either PCR or Fluorescence in situ hybridisation (FISH) on uncultured amniotic fluid cells are widely used. There are different commercial suppliers providing FISH assays for the detection of trisomies affecting the Down's syndrome critical regions (DSCR) in 21q22. We present a case in which rapid FISH screening with different commercial probes for the DSCR yielded conflicting results. Chromosome analysis revealed a deletion of one chromosome 21 in q22 which explained the findings. Prenatally an additional small supernumerary marker chromosome (sSMC) was discovered as well, which could not be characterised. Postnatal chromosome analysis in lymphocytes of the infant revealed complex mosaicism with four cell lines. By arrayCGH the sSMC was provisionally described as derivative chromosome 21 which was confirmed by targeted FISH experiments.
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Affiliation(s)
- Christel Eckmann-Scholz
- Department of Gynecology & Obstetrics, University Hospital Schleswig-Holstein, Campus Kiel & Christian-Albrechts-University Kiel, Kiel, Germany.
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23
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Begemann M, Spengler S, Kanber D, Haake A, Baudis M, Leisten I, Binder G, Markus S, Rupprecht T, Segerer H, Fricke-Otto S, Mühlenberg R, Siebert R, Buiting K, Eggermann T. Silver-Russell patients showing a broad range of ICR1 and ICR2 hypomethylation in different tissues. Clin Genet 2010; 80:83-8. [PMID: 20738330 DOI: 10.1111/j.1399-0004.2010.01514.x] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In all known congenital imprinting disorders an association with aberrant methylation or mutations at specific loci was well established. However, several patients with transient neonatal diabetes mellitus (TNDM), Silver-Russell syndrome (SRS) and Beckwith-Wiedemann syndrome (BWS) exhibiting multilocus hypomethylation (MLH) have meanwhile been described. Whereas TNDM patients with MLH show clinical symptoms different from carriers with isolated 6q24 aberrations, MLH carriers diagnosed as BWS or SRS present only the syndrome-specific features. Interestingly, SRS and BWS patients with nearly identical MLH patterns in leukocytes have been identified. We now report on the molecular findings in DNA in three SRS patients with hypomethylation of both 11p15 imprinted control regions (ICRs) in leukocytes. One patient was a monozygotic (MZ) twin, another was a triplet. While the hypomethylation affected both oppositely imprinted 11p15 ICRs in leukocytes, in buccal swab DNA only the ICR1 hypomethylation was visible in two of our patients. In the non-affected MZ twin of one of these patients, aberrant methylation was also present in leukocytes but neither in buccal swab DNA nor in skin fibroblasts. Despite mutation screening of several factors involved in establishment and maintenance of methylation marks including ZFP57, MBD3, DNMT1 and DNMT3L the molecular clue for the ICR1/ICR2 hypomethylation in our patients remained unclear. Furthermore, the reason for the development of the specific SRS phenotype is not obvious. In conclusion, our data reflect the broad range of epimutations in SRS and illustrate that an extensive molecular and clinical characterization of patients is necessary.
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Affiliation(s)
- M Begemann
- Institute of Human Genetics, RWTH, Aachen, Germany
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24
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Haake A, Winotosastro H. Plane symmetry in traditional Javanese batik patterns. Acta Crystallogr A 2007. [DOI: 10.1107/s0108767307097875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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25
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Haake A, Strickhausen HG, Strickhausen-Bode GN. Applied symmetry - medieval floor tiles excavated at the Castle of Kronberg. Acta Crystallogr A 2005. [DOI: 10.1107/s0108767305079638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Abstract
A method for the controlled positioning of small particles in one or two dimensions by an ultrasound field excited by a surface wave is presented. Particles of a diameter between 10 and 100 microm placed on a surface can be concentrated at certain locations and moved over the surface. In other approaches it is possible to let the particle levitate freely in the fluid. However for the use of ultrasonic positioning in for example microassembling it is necessary to move particles over a surface as well as to let them levitate over the surface. Physical principle: A two- or three-dimensional ultrasound field is excited in a fluid filled gap between a rigid surface at the bottom and a vibrating surface of a solid at the top. The height of the gap varies between 0.1 and 2 mm. A one-dimensional sinusoidal vibration of the upper surface excites a two-dimensional ultrasound field in the fluid. Particles that are arbitrarily distributed on the lower surface will be concentrated in lines by the ultrasound field. First the calculation of the field of forces on particles in the fluid layer is presented. Then the dispersion relation of a vibrating plate which is in contact with a fluid on one side is derived. The technical setup will be introduced. Finally the experiments are shown and compared to the theoretical results.
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Affiliation(s)
- A Haake
- Institute of Mechanical Systems, Center of Mechanics, Swiss Federal Institute of Technology Zurich (ETHZ), CH-8092 Zurich, Switzerland.
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Abstract
For the controlled positioning of small particles with ultrasound a standing wave in a fluid is used. The standing wave is implemented in a resonator, that consists of a fluid filled tube and two piezoelectric transducers on each end. A one-dimensional model of a piezo-device including the fluid-loading on one side and a backside support is introduced. This model allows the calculation of the transmitted wave as a function of the applied electric voltage and the incident wave. In addition, when an electrical impedance is connected to the piezo-device, the reflection coefficient can be varied in amplitude and phase, so that the parameters of the reflected wave can be controlled completely. The resonator itself, consisting of a piezo-device on each end and the fluid between, is included in the model. Several methods to shift the nodes of the standing wave in the resonator are investigated and the ability to position particles is discussed.
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Affiliation(s)
- A Haake
- Institute of Mechanical Systems, Center of Mechanics, ETH Zurich, Switzerland.
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Ikeda S, Shigihara T, Ogawa H, Haake A, Polakowska R, Roublevskaia I, Wakem P, Goldsmith LA, Epstein E. Narrowing of the Darier disease gene interval on chromosome 12q. J Invest Dermatol 1998; 110:847-8. [PMID: 9579560 DOI: 10.1046/j.1523-1747.1998.00187.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Virgili F, Santini MP, Canali R, Polakowska RR, Haake A, Perozzi G. Bcl-2 overexpression in the HaCaT cell line is associated with a different membrane fatty acid composition and sensitivity to oxidative stress. Free Radic Biol Med 1998; 24:93-101. [PMID: 9436618 DOI: 10.1016/s0891-5849(97)00215-3] [Citation(s) in RCA: 23] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Different mechanisms have been proposed for the activity of the Bcl-2 proto-oncogene product. A bona fide antioxidant activity and a pro-oxidant setting up of the cell have been suggested using different experimental models, yet many uncertainties exist about the biochemical mechanism of Bcl-2 action. In the present paper, we report the characterization of the cellular response to mild oxidative stress of a cultured cell line of immortalized keratinocytes (HaCaT), overexpressing the Bcl-2 oncogene product. A sublethal oxidative stress was induced by 1 h treatment with 200 microM tert-butyl-hydroperoxide (t-BOOH). Following peroxide treatment, the formation of reactive oxygen species was lower in Bcl-2 expressing cells, suggesting a better capacity to counter oxidative stress. Total Superoxide Dismutase activity was induced by oxidative t-BOOH treatment in bcl-2 transfected cells, which also accumulated less damage to membrane lipids and proteins, as assessed by TBA-RS and carbonyl formation respectively. On the other hand, the formation of 4-hydroxy-nonenal, a more specific marker of peroxidative damage to polyunsaturated fatty acids, was higher in bcl-2 transfected cells than in control cells. Bcl-2 over-expression was also associated with significant changes in the fatty acid composition of cell membranes. Transfected cells presented a higher proportion of mono-unsaturated fatty acids and omega6 poly unsaturated fatty acids and a lower proportion of penta-enoic PUFA, thus resulting in a higher unsaturation index with respect to control cells. Changes in protein kinase C activity were also associated to bcl-2 expression, possibly resulting from the differences in membrane fatty acid composition. These data may be an important background for the understanding of Bcl-2 involvement in the control of apoptotic response as well as in the induction of antioxidant cell defenses against oxidative stress.
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Affiliation(s)
- F Virgili
- Instituto Nazionale della Nutrizione, Rome, Italy
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O'Malley MP, Haake A, Goldsmith L, Berg D. Localized Darier disease. Implications for genetic studies. Arch Dermatol 1997; 133:1134-8. [PMID: 9301591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Darier disease is an uncommon genodermatosis characterized by the symmetrical eruption of keratotic reddish-brown papules occurring in the seborrheic areas of the body. A unilateral, or localized, variant has been identified. We report 4 new cases of localized Darier disease and review the English-language literature. The implications of these cases on future genetic studies are also discussed. OBSERVATIONS Localized Darier disease occurred with equal frequency in males and females. The average age at onset was 27 years. The most frequent site of involvement was the trunk (40% [16/40]). This condition was aggravated by sunlight, heat, or sweating in 42% (19/40) of reported cases, and 38% (15/40) of the patients responded to treatment with topical tretinoin. CONCLUSIONS Many of the clinical features of localized Darier disease suggest that it is a genetic mosaic of generalized Darier disease. Further studies of localized Darier disease may therefore prove to be instrumental in the search for the Darier disease gene.
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Affiliation(s)
- M P O'Malley
- Division of Dermatology, University of Toronto, Ontario
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Wakem P, Ikeda S, Haake A, Polakowska R, Ewing N, Sarret Y, Duvic M, Berg D, Bassett A, Kennedy JL, Tuskis A, Epstein EH, Goldsmith LA. Localization of the Darier disease gene to a 2-cM portion of 12q23-24.1. J Invest Dermatol 1996; 106:365-7. [PMID: 8601743 PMCID: PMC3160983 DOI: 10.1111/1523-1747.ep12343145] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Positional cloning with microsatellite markers allowed further localization of the Darier disease gene to a 2-cM interval of chromosome 12, 12q23-24.1, between the polymorphic loci D12S234 and D12S129. A region this size is suitable for construction of a contig to identify the Darier disease gene. Use of a polymorphic intronic marker for nitric oxide synthetase 1 gene, which maps to the same chromosomal area as the Darier gene, allowed exclusion of that gene as the Darier disease gene.
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Affiliation(s)
- P Wakem
- Department of Dermatology, University of Rochester, NY 14642, USA
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Ikeda S, Wakem P, Haake A, Ewing N, Polakowska R, Sarret Y, Trattner A, David M, Shohat M, Schroeder DW. Localization of the gene for Darier disease to a 5-cM interval on chromosome 12q. J Invest Dermatol 1994; 103:478-81. [PMID: 7930670 DOI: 10.1111/1523-1747.ep12395577] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.6] [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: 01/27/2023]
Abstract
Darier disease is an autosomal dominant abnormality of epidermal differentiation characterized clinically by the presence of hyperkeratotic papules on the skin and histologically by the loss of cell cohesion and by disorderly keratinization. Two groups recently found evidence that the gene whose mutations underlie this disease is located at chromosome 12q23-q24.1, a site on chromosome 12 that clearly is distal to the type II keratin gene cluster. We report here evidence for sublocalization to a 5-cM region of that site in an additional ten families of European and Middle Eastern ancestry with a combined lod score in excess of 20.
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Affiliation(s)
- S Ikeda
- Department of Dermatology, University of California, San Francisco
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Goldsmith L, Wakem P, Polakowska R, Haake A, Ewing N, Sarret Y, Trattner A, Shohat B, David M, Schroeder W, Duvic M, Ikeda S, Epstein E. Exclusion of candidate genes in Darier's disease using positional cloning. J Dermatol Sci 1993. [DOI: 10.1016/0923-1811(93)91195-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Noltenius H, Giersch H, Haake A, Raydt HJ, Buchholz M. [Occurrence of malignant tumors in high-aged patients (author's transl)]. Med Klin 1977; 72:391-8. [PMID: 840110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The analysis of macroscopic findings in 2385 autopsies for frequency and distribution for malignant tumors had the following results: Augmented frequency with increasing age was stated for cancer of the stomach, colon, prostate and breast. There is a clear decrease in the frequency of cancer of the lung and of the uterus with increasing age. Severe tumorindependent disease was an almost constant finding in tumor autopsies. The overall frequency of malignant tumors decreases with increasing age.
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Noltenius H, Giersch H, Haake A. [The occurence of multiple diseases in high-aged patients (author's transl)]. Med Klin 1976; 71:2170-6. [PMID: 1004366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Analysis of 1385 autopsies of 80-102 year-old patients was performed to investigate the frequency of simultaneous occurence of the following functionally pertinent diseases in one organism (polypathia): Severe aortic, coronary and cerebral arteriosclerosis, chronic pulmonary emphysema, contracted kidneys, fractures of the femur and malignant tumors. 80% of all patients of both sexes suffered from 2-4 of the above diseases. Even in the highest age group, however, 5 and more of the above diseases were very rarely developed. Patients with none of the above diagnoses were almost never encountered. The "polypathia" was stated also in patients who died by suicide or accident.
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Noltenius H, Haake A, Giersch H, Buchholz M, Raydt HJ. [Pathological-anatomical findings in 70-102 years old Caucasians (author's transl)]. Med Klin 1976; 71:2163-9. [PMID: 63903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The macroscopic findings of 2385 autopsy protocolls of 70-102 year-old males and females were analysed for frequency and functional significance of diseases. 1. Severe coronary arteriosclerosis was found up to 60% of the cases, with increasing frequency in higher age groups. However decrease of acute myocardial necrosis was stated including the highest age group. 2. The mean values of heart weights decrease in the highest age groups. 3. While the frequency of arteriosclerosis in the cerebral arteries increases the frequency of ischemic lesions of the brain decreases. 4. Benign hyperplasia of the prostate is found in 85% of the cases. 5. 80% of the patients had severe substantial chronic pulmonary emphysema and acute tracheobronchitis. These pulmonary lesions are supposed to be the functionally most important disease in patients of old age.
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Paulsen K, Haake A. [Course of dystrophy-induced hearing disorders]. Z Laryngol Rhinol Otol 1971; 50:729-43. [PMID: 5115498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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