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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, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen 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Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, 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Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, 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Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV. Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Yang Y, Zhu Y, Luo Y, Liu Q, Hua X, Li J, Gao F, Hofer J, Gao X, Xiao L, Song X, Gao S, Hao R. Transcriptome analysis of Mesobuthus martensii revealed the differences of their toxins between females and males. THE EUROPEAN ZOOLOGICAL JOURNAL 2022. [DOI: 10.1080/24750263.2022.2143584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Tan S, Huang Y, Xiong J, Gao X, Ren H, Gao S. Identification and Comparative Analysis of the miRNAs in Gonads of High-altitude Species, Batrachuperus tibetanus. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2022. [DOI: 10.1134/s1068162023010260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Waterhouse D, Ray S, Betts K, Yuan Y, Yin L, Gao S, Sundar M, Stenehjem D. 60MO Real-world overall and progression-free survival for first-line immunotherapy-based regimens in advanced non-small cell lung cancer. IMMUNO-ONCOLOGY AND TECHNOLOGY 2022. [DOI: 10.1016/j.iotech.2022.100165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Gao S, Liu JG. [Precise application of sleeve gastrectomy]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2022; 25:881-885. [PMID: 36245112 DOI: 10.3760/cma.j.cn441530-20220715-00311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
With the improvement of the national economy and living standards, the prevalence of obesity and related metabolic diseases is increasing yearly. The treatment effect of traditional diet control, physical exercise, and drug therapy are not ideal. Metabolic and bariatric surgery is not only aimed at weight loss, but also improves or resolves a variety of metabolic comorbidities, such as type 2 diabetes, hypertension, sleep apnea syndrome, and hyperlipidemia, enhancing the quality of life of patients. Surgical methods are also updated and iterated with the continuous development of metabolic surgery for weight loss. At present, more than 50% of the mainstream procedures are laparoscopic sleeve gastrectomy (LSG). The application of LSG should focus on precise surgical operations and indications to avoid or reduce adverse reactions and complications, so as to maximize the effect of bariatric surgery. At the same time, standardized postoperative management, multidisciplinary team (MDT) and in-hospital database construction, dietary nutrition and exercise guidance after discharge, and regular follow-up review are still important guarantees for the weight loss effect.
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Kong X, Cao R, Lu T, Gao S, Sun G, Cao F. Remote telemedicine strategy based on multi-risks intervention by intelligent wearable health devices in elderly comorbidities patients with coronary heart disease. Eur Heart J 2022. [PMCID: PMC9619686 DOI: 10.1093/eurheartj/ehac544.2813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Background Telemedicine based on wearable intelligent health devices becomes increasingly promissing for the elderly due to the accelerated aging population. Especially during COVID-19 pandemic, more elderly coronary heart disease patients with chronic comorbidities are in less secondary prevention management at home. Objective To explore the prevention effect on main cardiovascular risk factors and repeated hospitalization in elderly comorbidities patients by telemedicine intervention based on multi-parameter wearable monitoring devices. Methods Total of 337 patients with comorbidities of coronary heart disease, hypertension and diabetes, with age more than 65 years old were recruited in the study from October 2019 to January 2021. They were randomly divided into control group and telemedcine intervention group. The latter used remote multi-parameter wearable devices to measure blood pressure, glycemic and electrocardiograph at home every day. A real-time monitoring platform would alarm any abnormal data to the doctors. Both doctors and patients can read the measurement results on a real-time mobile phone APP and interact with each other remotely twice a week routinely. A medical team remotely indicated the medications, while offering guidance on lifestyle. In contrast, the control group adopted traditional outpatient medical strategy to manage diseases. Results A total of 306 patients were enrolled in the follow-up experiment finally: 153 in the intervention group and 153 in the control group. Patient characteristics at baseline were balanced between two groups. After 12 months, compared with the control group, the intervention group saw the following metrics significantly reduced: systolic blood pressure (SBP) (131.66±9.43 vs 137.20±12.02 mmHg, P=0.000), total cholesterol (TC) (3.65±0.79 vs 4.08±0.82 mmol/L, P=0.001), low density lipoprotein cholesterol (LDL-C) (2.06±0.53 vs 2.38±0.61 mmol/L, P=0.002), and fasting blood glucose (FBG) (6.26±0.75 vs 6.81±0.97 mmol/L, P=0.000), while the following metrics went up significantly: blood pressure control rate (77.3% vs 59.1%, P=0.039), blood lipid control rate(39.4% vs 21.2%, P=0.037), glycemic control rate (71.2% vs 51.5%, P=0.031), and medication adherence score (7.10±0.77 vs 6.80±0.73, P=0.020). Linear regression model analysis indicates that when interaction frequency ≥1.53, 2.47 and 1.15 times/week, the SBP, LDL-C and FBG levels would be controlled, respectively. Cox survival analysis finds that the hospitalization rate of intervention group is significantly lower than that of the control group (24.18% vs 35.29%, P=0.031). Conclusion The telemedicine interactive intervention based on multi-parameter wearable devices provides effectively improvement of cardiovascular risk controlling, medication adherence, while reducing the hospitalization rate of patients. A frequency of doctor-patient interactions more than 2 times/week is beneficial for disease management the elderly at home. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): Key scientific research project of Health Commission
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Wu X, Song P, Ying J, Gao S, Li W. MA05.03 Utilization of Genomic Mutation Signature to Predict the Immunotherapy Response in Non-small Cell Lung Cancer. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Cui Z, Li H, Gao S, Li D, Liu C, Zhang Y, Meng F, Li L. 1707P The landscape of PALB2 alteration in Chinese solid tumor patients. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Abud AA, Abi B, Acciarri R, Acero MA, Adames MR, Adamov G, Adamowski M, Adams D, Adinolfi M, Aduszkiewicz A, Aguilar J, Ahmad Z, Ahmed J, Aimard B, Ali-Mohammadzadeh B, Alion T, Allison K, Monsalve SA, AlRashed M, Alt C, Alton A, Alvarez R, Amedo P, Anderson J, Andreopoulos C, Andreotti M, Andrews M, Andrianala F, Andringa S, Anfimov N, Ankowski A, Antoniassi M, Antonova M, Antoshkin A, Antusch S, Aranda-Fernandez A, Arellano L, Arnold LO, Arroyave MA, Asaadi J, Asquith L, Aurisano A, Aushev V, Autiero D, Lara VA, Ayala-Torres M, Azfar F, Back A, Back H, Back JJ, Backhouse C, Bagaturia I, Bagby L, Balashov N, Balasubramanian S, Baldi P, Baller B, Bambah B, Barao F, Barenboim G, Alzas PB, Barker G, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros A, Barros N, Barrow JL, Basharina-Freshville A, Bashyal A, Basque V, Batchelor C, Chagas EBD, Battat JBR, Battisti F, Bay F, Bazetto MCQ, Alba JLLB, Beacom JF, Bechetoille E, Behera B, Beigbeder C, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Benekos N, Montiel CB, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Bersani A, Bertolucci S, Betancourt M, Rodríguez AB, Bevan A, Bezawada Y, Bezerra TJC, Bhardwaj A, Bhatnagar V, Bhattacharjee M, Bhattarai D, Bhuller S, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Blaszczyk F, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bomben L, Bonesini M, Bongrand M, Bonilla-Diaz C, Bonini F, Booth A, Boran F, Bordoni S, Borkum A, Bostan N, Bour P, Bourgeois C, Boyden D, Bracinik J, Braga D, Brailsford D, Branca A, Brandt A, Bremer J, Breton D, Brew C, Brice SJ, Brizzolari C, Bromberg C, Brooke J, Bross A, Brunetti G, Brunetti M, Buchanan N, Budd H, Butorov I, Cagnoli I, Cai T, Caiulo D, Calabrese R, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Caminata A, Campanelli M, Caratelli D, Carber D, Carceller JC, Carini G, Carlus B, Carneiro MF, Carniti P, Terrazas IC, Carranza H, Carroll T, Forero JFC, Castillo A, Castromonte C, Catano-Mur E, Cattadori C, Cavalier F, Cavallaro G, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chappell A, Chardonnet E, Charitonidis N, Chatterjee A, Chattopadhyay S, Neyra MSSC, Chen H, Chen M, Chen Y, Chen Z, Chen-Wishart Z, Cheon Y, Cherdack D, Chi C, Childress S, Chirco R, Chiriacescu A, Chisnall G, Cho K, Choate S, Chokheli D, Chong PS, Christensen A, Christian D, Christodoulou G, Chukanov A, Chung M, Church E, Cicero V, Clarke P, Cline G, Coan TE, Cocco AG, Coelho JAB, Colton N, Conley E, Conley R, Conrad J, Convery M, Copello S, Cova P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Crisler M, Cristaldo E, Crnkovic J, Cross R, Cudd A, Cuesta C, Cui Y, Cussans D, Dalager O, da Motta H, Da Silva Peres L, David C, David Q, Davies GS, Davini S, Dawson J, De K, De S, Debbins P, De Bonis I, Decowski MP, De Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, Delmonte N, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch GW, De Roeck A, De Romeri V, De Souza G, Devi R, Dharmapalan R, Dias M, Diaz F, Díaz JS, Domizio SD, Giulio LD, Ding P, Noto LD, Dirkx G, Distefano C, Diurba R, Diwan M, Djurcic Z, Doering D, Dolan S, Dolek F, Dolinski M, Domine L, Donon Y, Douglas D, Douillet D, Dragone A, Drake G, Drielsma F, Duarte L, Duchesneau D, Duffy K, Dunne P, Dutta B, Duyang H, Dvornikov O, Dwyer D, Dyshkant A, Eads M, Earle A, Edmunds D, Eisch J, Emberger L, Emery S, Englezos P, Ereditato A, Erjavec T, Escobar C, Eurin G, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Fani’ M, Farnese C, Farzan Y, Fedoseev D, Felix J, Feng Y, Fernandez-Martinez E, Menendez PF, Morales MF, Ferraro F, Fields L, Filip P, Filthaut F, Fiorini M, Fischer V, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fogarty S, Foreman W, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Robayo FF, Fuess S, Furic IK, Furman K, Furmanski AP, Gabrielli A, Gago A, Gallagher H, Gallas A, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Ganacim F, Gandhi R, Gandrajula R, Gao F, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Gauvreau J, Ge G, Geffroy N, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Giammaria P, Giammaria T, Giangiacomi N, Gibin D, Gil-Botella I, Gilligan S, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Diaz D, Gonzalez-Lopez M, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Gran R, Granados E, Granger P, Grant A, Grant C, Gratieri D, Green P, Greenler L, Greer J, Grenard J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guardincerri E, Guarino V, Guarise M, Guenette R, Guerard E, Guerzoni M, Guffanti D, Guglielmi A, Guo B, Gupta A, Gupta V, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Ha C, Haaf K, Habig A, Hadavand H, Haenni R, Hahn A, Haiston J, Hamacher-Baumann P, Hamernik T, Hamilton P, Han J, Harris DA, Hartnell J, Hartnett T, Harton J, Hasegawa T, Hasnip C, Hatcher R, Hatfield KW, Hatzikoutelis A, Hayes C, Hayrapetyan K, Hays J, Hazen E, He M, Heavey A, Heeger KM, Heise J, Henry S, Morquecho MAH, Herner K, Hewes J, Hilgenberg C, Hill T, Hillier SJ, Himmel A, Hinkle E, Hirsch LR, Ho J, Hoff J, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Hoyos J, Hristova I, Hronek MS, Huang J, Hulcher Z, Iles G, Ilic N, Iliescu AM, Illingworth R, Ingratta G, Ioannisian A, Irwin B, Isenhower L, Itay R, Jackson CM, Jain V, James E, Jang W, Jargowsky B, Jediny F, Jena D, Jeong YS, Jesús-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Johnson R, Johnson W, Johnston N, Jones B, Jones S, Judah M, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kakorin I, Kalitkina A, Kalra D, Kamiya F, Kaneshige N, Kaplan DM, Karagiorgi G, Karaman G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Kemularia O, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Klustova A, Kobilarcik T, Koehler K, Koerner LW, Koh DH, Kohn S, Koller PP, Kolupaeva L, Korablev D, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Kralik R, Kreczko L, Krennrich F, Kreslo I, Kropp W, Kroupova T, Kubota S, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar P, Kunze P, Kurita N, Kuruppu C, Kus V, Kutter T, Kvasnicka J, Kwak D, Lambert A, Land B, Lane CE, Lang K, Langford T, Langstaff M, Larkin J, Lasorak P, Last D, Laundrie A, Laurenti G, Lawrence A, Lazanu I, LaZur R, Lazzaroni M, Le T, Leardini S, Learned J, LeBrun P, LeCompte T, Lee C, Lee SY, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Lepin LM, Li SW, Li Y, Liao H, Lin CS, Lin Q, Lin S, Lineros RA, Ling J, Lister A, Littlejohn BR, Liu J, Liu Y, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Lord T, LoSecco JM, Louis WC, Lu XG, Luk KB, Lunday B, Luo X, Luppi E, Lux T, Luzio VP, Maalmi J, MacFarlane D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madera A, Madigan P, Magill S, Mahn K, Maio A, Major A, Maloney JA, Mandrioli G, Mandujano RC, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Manyam VN, Manzanillas L, Marchan M, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marie R, Marinho F, Marino AD, Marsden D, Marshak M, Marshall C, Marshall J, Marteau J, Martín-Albo J, Martinez N, Caicedo DAM, Miravé PM, Martynenko S, Mascagna V, Mason K, Mastbaum A, Matichard F, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mawby I, Mazza R, Mazzacane A, Mazzucato E, McAskill T, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mena O, Mendez H, Mendez P, Méndez DP, Menegolli A, Meng G, Messier MD, Metcalf W, Mettler T, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Mikola V, Milincic R, Miller G, Miller W, Mills J, Mineev O, Minotti A, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mitchell M, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montagna E, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon SH, Mooney M, Moor AF, Moreno D, Moretti D, Morris C, Mossey C, Mote M, Motuk E, Moura CA, Mousseau J, Mouster G, Mu W, Mualem L, Mueller J, Muether M, Mufson S, Muheim F, Muir A, Mulhearn M, Munford D, Muramatsu H, Murphy S, Musser J, Nachtman J, Nagu S, Nalbandyan M, Nandakumar R, Naples D, Narita S, Nath A, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newton H, Nichol R, Nicolas-Arnaldos F, Nikolica A, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Ochoa-Ricoux J, Olivier A, Olshevskiy A, Onel Y, Onishchuk Y, Ott J, Pagani L, Palacio G, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Vazquez WP, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Parke S, Parozzi E, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Perez AP, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Pia V, Piastra F, Pickering L, Pietropaolo F, Pimentel VL, Pinaroli G, Plows K, Plunkett R, Poling R, Pompa F, Pons X, Poonthottathil N, Poppi F, Pordes S, Porter J, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prest M, Prince S, Psihas F, Pugnere D, Qian X, Raaf JL, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotonandrasana A, Rakotondravohitra L, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Raut S, Razakamiandra RF, Rea EM, Real JS, Rebel B, Rechenmacher R, Reggiani-Guzzo M, Reichenbacher J, Reitzner SD, Sfar HR, Renshaw A, Rescia S, Resnati F, Ribas M, Riboldi S, Riccio C, Riccobene G, Rice LCJ, Ricol JS, Rigamonti A, Rigaut Y, Rincón EV, Ritchie-Yates H, Rivera D, Robert A, Rochester L, Roda M, Rodrigues P, Alonso MJR, Bonilla ER, Rondon JR, Rosauro-Alcaraz S, Rosenberg M, Rosier P, Roskovec B, Rossella M, Rossi M, Rout J, Roy P, Rubbia A, Rubbia C, Russell B, Ruterbories D, Rybnikov A, Saa-Hernandez A, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sakashita K, Sala P, Samios N, Samoylov O, Sanchez MC, Sandberg V, Sanders DA, Sankey D, Santana S, Santos-Maldonado M, Saoulidou N, Sapienza P, Sarasty C, Sarcevic I, Savage G, Savinov V, Scaramelli A, Scarff A, Scarpelli A, Schefke T, Schellman H, Schifano S, Schlabach P, Schmitz D, Schneider AW, Scholberg K, Schukraft A, Segreto E, Selyunin A, Senise CR, Sensenig J, Sergi A, Sgalaberna D, Shaevitz MH, Shafaq S, Shaker F, Shamma M, Sharankova R, Sharma HR, Sharma R, Sharma RK, Shaw T, Shchablo K, Shepherd-Themistocleous C, Sheshukov A, Shin S, Shoemaker I, Shooltz D, Shrock R, Siegel H, Simard L, Sinclair J, Sinev G, Singh J, Singh J, Singh L, Singh P, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Skarpaas K, Smith A, Smith E, Smith P, Smolik J, Smy M, Snider E, Snopok P, Snowden-Ifft D, Nunes MS, Sobel H, Soderberg M, Sokolov S, Salinas CJS, Söldner-Rembold S, Soleti SR, Solomey N, Solovov V, Sondheim WE, Sorel M, Sotnikov A, Soto-Oton J, Ugaldi FAS, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Stancari M, Stanco L, Stanford C, Stein R, Steiner HM, Lisbôa AFS, Stewart J, Stillwell B, Stock J, Stocker F, Stokes T, Strait M, Strauss T, Strigari L, Stuart A, Suarez JG, Sunción JMS, Sullivan H, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Tanaka H, Tang S, Tapia A, Oregui BT, Tapper A, Tariq S, Tarpara E, Tata N, Tatar E, Tayloe R, Teklu AM, Tennessen P, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thakore T, Thea A, Thompson JL, Thorn C, Timm SC, Tishchenko V, Tomassetti L, Tonazzo A, Torbunov D, Torti M, Tortola M, Tortorici F, Tosi N, Totani D, Toups M, Touramanis C, Travaglini R, Trevor J, Trilov S, Trzaska WH, Tsai Y, Tsai YT, Tsamalaidze Z, Tsang KV, Tsverava N, Tufanli S, Tull C, Tyley E, Tzanov M, Uboldi L, Uchida MA, Urheim J, Usher T, Uzunyan S, Vagins MR, Vahle P, Valder S, Valdiviesso GDA, Valencia E, Valentim R, Vallari Z, Vallazza E, Valle JWF, Vallecorsa S, Berg RV, de Water RGV, Forero DV, Vannerom D, Varanini F, Oliva DV, Varner G, Vasel J, Vasina S, Vasseur G, Vaughan N, Vaziri K, Ventura S, Verdugo A, Vergani S, Vermeulen MA, Verzocchi M, Vicenzi M, de Souza HV, Vignoli C, Vilela C, Viren B, Vrba T, Wachala T, Waldron AV, Wallbank M, Wallis C, Wang H, Wang J, Wang L, Wang MHLS, Wang X, Wang Y, Wang Y, Warburton K, Warner D, Wascko MO, Waters D, Watson A, Wawrowska K, Weatherly P, Weber A, Weber M, Wei H, Weinstein A, Wenman D, Wetstein M, White A, Whitehead LH, Whittington D, Wilking MJ, Wilkinson A, Wilkinson C, Williams Z, Wilson F, Wilson RJ, Wisniewski W, Wolcott J, Wongjirad T, Wood A, Wood K, Worcester E, Worcester M, Wresilo K, Wret C, Wu W, Wu W, Xiao Y, Xie F, Yaeggy B, Yandel E, Yang G, Yang K, Yang T, Yankelevich A, Yershov N, Yonehara K, Yoon YS, Young T, Yu B, Yu H, Yu H, Yu J, Yu Y, Yuan W, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhang S, Zhang Y, Zhao M, Zhivun E, Zhu G, Zimmerman ED, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:618. [PMID: 35859696 PMCID: PMC9288420 DOI: 10.1140/epjc/s10052-022-10549-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/24/2022] [Indexed: 06/15/2023]
Abstract
DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6 × 6 × 6 m 3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties.
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Siebert S, Coates L, Schett G, Raychaudhuri SP, Chen W, Gao S, Chakravarty SD, Shawi M, Lavie F, Theander E, Neuhold M, Kollmeier A, Xu XL, Rahman P, Mease PJ, Deodhar A. POS0074 IMMUNOLOGICAL DIFFERENCES BETWEEN PsA PATIENTS WHO ARE TUMOR NECROSIS FACTOR INHIBITOR-NAIVE AND WHO HAVE INADEQUATE RESPONSE TO TUMOR NECROSIS FACTOR INHIBITORS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundA better understanding of the immunological differences between psoriatic arthritis (PsA) patients (pts) who are tumor necrosis factor inhibitor (TNFi)-naïve & who have inadequate response to TNFi (TNFi-IR) may guide treatment choices. In DISCOVER-1, benefit of the IL-23p19 subunit inhibitor guselkumab (GUS) every-four-weeks (Q4W) & Q8W vs placebo (PBO) in improving PsA signs & symptoms was seen in adults with active PsA.1 The Ph3b COSMOS study of GUS Q8W vs PBO in TNFi-IR PsA pts corroborated these findings.2ObjectivesAssess baseline (BL) molecular differences between TNFi-naïve & -IR PsA pts & investigate GUS pharmacodynamic (PD) effect on cytokine expression over time in these cohorts.MethodsSerum samples collected from consenting biomarker substudy pts in DISCOVER-11 (TNFi-naïve [n=101] & -IR [n=17]), DISCOVER-23 (TNFi-naïve [n=150]), & COSMOS2 (TNFi-IR [n=76]) were analyzed for selected serum cytokine levels. TNFi-IR pts in this post-hoc analysis had active PsA & discontinued 1-2 TNFi due to inadequate efficacy; these pts required a TNFi-specific washout period prior to starting GUS. PD effect of GUS Q8W on cytokine levels was assessed. Differential BL cytokine expression, associations between BL cytokine levels & clinical response (Psoriasis [PsO] Area & Severity Index 75% improvement from BL [PASI75] & American College of Rheumatology 20% improvement [ACR20]), & GUS effect on cytokine levels were analyzed with a General linear model & Spearman linear regression.ResultsBL pt demographics, disease characteristics, & conventional synthetic disease-modifying antirheumatic drug (csDMARD) use were comparable between TNFi-naïve (DISCOVER-1 & -2, N=251) & -IR (DISCOVER-1 & COSMOS, N=93) pts, with differences in mean PASI score (8.9 v 12.5), swollen joint count (SJC) (11.7 v 10.3), PsA duration (5.8 v 9.8 yrs), & PsO duration (16.7 v 20.4 yrs; Table 1). BL serum IL-22 & TNFα levels for pooled treatment groups were higher in TNFi-IR than -naïve pts (p<0.05). At W24, GUS reduced IL-22, IL-17A/F, IL-6, C-reactive protein (CRP), & serum amyloid A protein to similar levels in both cohorts (p<0.05; Figure 1). W24 PASI75 responders had higher BL IL-17F levels with GUS in both cohorts (p<0.05) & higher IL-22 levels in TNFi-IR pts only (p<0.05). A trend of upregulated BL IL-22 expression in W24 ACR20 responders was seen for TNFi-IR pts with GUS (p=0.07).Table 1.BL demographics, disease characteristics, & drug use in TNFi-naïve & -IR cohorts with available cytokine data in DISCOVER-1&2 & COSMOS.*TNFi-naïve (N=251)TNFi-IR (N=93)Age [yrs]47.2 (11.3)48.5 (11.1)Female, n (%)132 (52.6)46 (49.5)Body mass index [kg/m2]29.6 (6.1)30.3 (6.4)Median (range) CRP [mg/dL]0.9 (0.0-12.9)1.0 (0.0-13.2)Log2 IL-22 / TNFα [pg/mL]2.0 (1.4) / 1.1 (0.6)2.5 (1.5) / 1.9 (1.2)Log2 IL-17A / F [pg/mL]-0.4 (1.5) / 1.7 (1.5)-0.1 (1.7) / 2.0 (1.6)SJC [0-66]11.7 (7.1)10.3 (8.3)TJC [0-68]20.3 (13.1)20.6 (14.2)PsA duration [yrs]5.8 (5.9)9.8 (8.2)PsO duration [yrs]16.7 (12.8)20.4 (12.0)PsO Body surface area (%)14.8 (18.6)19.1 (21.3)Investigator’s Global Assessment score [0-4]2.3 (0.9)2.3 (1.0)PASI score [0-72]8.9 (10.6)12.5 (12.0)Enthesitis [Y], n (%)160 (63.7)58 (62.4)csDMARD use [Y], n (%)164 (65.3)62 (66.7)Corticosteroid use (Y), n (%)45 (17.9)19 (20.4)Methotrexate use [Y], n (%)136 (54.2)54 (58.1)Data are mean (SD) unless otherwise noted. *Pts with serum CRP level ≥0.3 mg/dL, SJC ≥3, & TJC ≥3 (to mimic D1 inclusion criteria1). TJC= tender joint countConclusionElevated BL IL-22 expression & association between BL IL-22 levels & W24 PASI75 response, & a W24 trend for an association between upregulated BL IL-22 & ACR20 response, in TNFi-IR pts seen in this exploratory analysis may suggest increased involvement of the IL-23 pathway in TNFi-IR pts. GUS showed comparable & significant PD effects for TNFi-naïve & -IR pts, consistent with observed clinical responses.References[1]Deodhar A, et al. Lancet. 2020;395:1115-25.[2]Coates LC, et al. Ann Rheum Dis. 2021;80:140-1.[3]Mease P, et al. Lancet. 2020;395:1126-36.Disclosure of InterestsStefan Siebert Speakers bureau: AbbVie, Biogen, GSK, Janssen, Novartis, UCB, Grant/research support from: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, GSK, Janssen, Novartis, and UCB, Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Medac, Novartis, Pfizer and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Galapagos, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Georg Schett Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Gilead, Janssen, Novartis, and UCB, Siba P Raychaudhuri Speakers bureau: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Grant/research support from: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, SUN Pharma, and UCB, Warner Chen Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC (a wholly owned subsidiary of Johnson & Johnson), Sheng Gao Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC (a wholly owned subsidiary of Johnson & Johnson), Soumya D Chakravarty Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC (a wholly owned subsidiary of Johnson & Johnson), May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Pharmaceutical Companies of Johnson & Johnson, Frederic Lavie Shareholder of: Johnson & Johnson, Employee of: Janssen Pharmaceutical Companies of Johnson & Johnson, Elke Theander Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC (a wholly owned subsidiary of Johnson & Johnson), Marlies Neuhold Shareholder of: Johnson & Johnson, Employee of: Janssen Scientific Affairs, LLC (a wholly owned subsidiary of Johnson & Johnson), Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC (a wholly owned subsidiary of Johnson & Johnson), Xie L Xu Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC (a wholly owned subsidiary of Johnson & Johnson), Proton Rahman Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Merck, Novartis, Pfizer, and UCB, Grant/research support from: Janssen and Novartis, Philip J Mease Speakers bureau: AbbVie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Consultant of: AbbVie, Aclaris, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GSK, Inmagene, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Atul Deodhar Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Aurinia, Bristol Myers Squibb, Celgene, Eli Lilly, GSK, Janssen, MoonLake, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, and UCB
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Bay-Jensen AC, Holm Nielsen S, Frederiksen P, Karsdal M, Chen W, Gao S. POS0006 IDENTIFICATION OF FIBROTIC AND FIBROLYTIC ENDOTYPES IN RHEUMATIC DISEASE COHORTS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundAnkylosing spondylitis (AS), psoriatic arthritis (PsA) and systemic lupus erythematosus (SLE) are distinct diseases with common molecular features, such as an imbalance in fibrolysis and fibrosis of connective and calcified tissues. Type III, IV and VI collagens are abundant in connective tissue, and type I, II and X of the skeletal tissue. Blood biomarkers are available to measure fibrolysis (C1M, C2M, C3M, C4M, C6M, C10C) and fibrosis (PRO-C1, PRO-C2, PRO-C3, PRO-C4, PRO-C6) of these collagens.ObjectivesTo profile AS, PsA and SLE patients (pts) using blood biomarkers of collagen formation and degradation.MethodsBaseline serum samples from consenting pts of the AS (NCT02437162/NCT02438787), PsA (NCT0315828), and SLE (NCT02349061) studies were included in the analyses. Healthy donor samples were acquired from Discovery LS. Biomarkers were measured by immunoassays. Biomarker levels were compared by Kruskal-Wallis test. Before hierarchical clustering (Ward.D2), biomarker levels were log-transformed and standardized by median centering and scaling by median absolute deviation (MAD).ResultsWhen compared with healthy individuals, VICM was elevated in all indications (although markedly less so in SLE pts). The fibrosis marker PRO-C3 was elevated in all indications vs. healthy, while PRO-C4 and PRO-C6 were elevated only in AS and PsA. The fibrolysis markers C3M, C4M and C6M were elevated in all indications. The cartilage fibrosis marker PRO-C2, but not C2M, was elevated in AS and PsA, but not in SLE, ps. The bone fibrosis marker PRO-C1 was at the level of healthy for all. The fibrolysis marker C1M was elevated in all, while elevated C10C was seen only in PsA and SLE, pts (Table 1). Four clusters (C) of blood markers were extracted (Figure 1). C1 was characterized by low biomarker levels (68% of healthy, 1% of PsA, 3% of SLE pts). C2 was described by high levels of C10C and median levels of VICM (20% of healthy, 12% of AS, 19% of PsA, 42% of SLE pts). C3 was described by median biomarker levels (8% of healthy, 67% of AS, 48% of PsA, 46% of SLE pts). C4 had high biomarker levels (4% of healthy, 21% of AS, 31% of PsA, 9% of SLE pts).ConclusionFibrosis and fibrolysis blood biomarkers were significantly elevated in AS, PsA and SLE pts. Subsets of pts from each indication were found in clusters with either low (C1/2), median (C3) or high (C4) levels of fibrosis/fibrolysis biomarkers. These findings may provide a first step towards precision medicine for guiding the use of anti-inflammatory vs. anti-fibrotic treatments in pts with rheumatological disorders.Disclosure of InterestsAnne-Christine Bay-Jensen Shareholder of: Nordic Bioscience A/S, Employee of: Nordic Bioscience A/S, Signe Holm Nielsen Shareholder of: Nordic Bioscience A/S, Employee of: Nordic Bioscience A/S, Peder Frederiksen Employee of: Nordic Bioscience A/S, Morten Karsdal Shareholder of: Nordic Bioscience A/S, Employee of: Nordic Bioscience A/S, Warner Chen Employee of: Janssen Research & Development, Sheng Gao Employee of: Janssen Research & Development
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Kavanaugh A, Baraliakos X, Gao S, Chen W, Sweet K, Chakravarty SD, Song Q, Shawi M, Behrens F, Rahman P. POS0969 GENETIC AND MOLECULAR DISTINCTIONS BETWEEN AXIAL PSORIATIC ARTHRITIS AND ANKYLOSING SPONDYLITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundPsoriatic arthritis (PsA) and ankylosing spondylitis (AS) represent the prototypical spondyloarthritides. PsA patients may also suffer from axial disease (axPsA). Despite overlapping symptoms, axPsA and AS may be distinct disorders with differing clinical manifestations, genetic associations, and radiographic findings.1 These disorders also respond differently to immunomodulatory therapies such as anti-interleukin (IL)-23 inhibitors. While guselkumab, a human monoclonal antibody targeting the IL-23p19 subunit, improved symptoms of axPsA,2 risankizumab, a humanized monoclonal antibody targeting the IL-23p19 subunit, did not show improvement in the primary endpoint of proportion of AS patients achieving an Assessment of SpondyloArthritis International Society 40% (ASAS40) response at week (W) 12.3ObjectivesTo understand molecular distinctions between axPsA and AS to differentiate these diseases and guide treatment choice.MethodsWhole blood and serum samples were collected from consenting patients in the NCT03162796/NCT0315828 studies of guselkumab in PsA and the NCT02437162/NCT02438787 studies of ustekinumab in AS. axPsA patients were investigator-verified as having magnetic resonance imaging- or pelvic x-ray-confirmed sacroiliitis at screening (locally read). Human leukocyte antigen (HLA) genotypes were determined by RNA sequencing, limited to Caucasian patients to reduce genetic variability,4 and select serum cytokine levels were analyzed alongside samples from healthy individuals. Differential prevalence of HLA alleles in axPsA versus AS was determined using a Fisher’s Exact test. Statistical significance of differential baseline serum cytokine expression among axPsA versus non-axPsA versus AS patients, and of guselkumab effect on serum cytokine reduction versus placebo among axPsA and non-axPsA patients, were determined with a generalized linear model performed on log2-transformed data. Biomarker data from guselkumab every-4-weeks and every-8-weeks treatment arms were pooled.ResultsAmong the 186/234 Caucasian axPsA/AS patients with available data, 34%/15% were female, 70%/14% used methotrexate at baseline, mean serum C-reactive protein (CRP) levels were 2.8/2.4 mg/dL and mean Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) scores were 6.4/7.5, respectively. Aside from race, baseline demographics and disease characteristics were representative of the overall population. The prevalence of class I HLA allele -B27, -C01, and -C02 carriers was significantly lower in axPsA than AS patients (30.7% versus 92.3%, p<0.001; 5.9% versus 31.6%, p<0.001; and 28.0% versus 62.0%, p<0.001, respectively), while the prevalence of HLA-C06 was significantly higher in axPsA than AS populations (36.0% versus 8.6%, p<0.001). Baseline serum levels of IL-17A and IL-17F were significantly higher in axPsA (N=71) than in AS (N=58) patients (p<0.01 and p<0.001, respectively). Comparable IL-17A/F expression was seen for axPsA and non-axPsA (N=229) patients (both p=not significant). Significant and comparable reductions from baseline in serum IL-17A/F in axPsA and non-axPsA patients were seen with guselkumab treatment (axPsA N=41, non-axPsA N=160) versus placebo (axPsA N=30, non-axPsA N=69) at W4/24 (all p<0.05).ConclusionAdults with axPsA and AS exhibit different genetic risk factors and serum IL-17 levels, supporting the concept of distinct disorders. Guselkumab demonstrated significant pharmacodynamic effects in axPsA patients that aligned with such effects in non-axPsA patients, consistent with observed clinical improvement.2References[1]Feld et al. Nat Rev Rheumatol. 2018;14(6):363-371.[2]Mease et al. Lancet Rheumatol. 2021;3(10)E715-E723.[3]Baeten et al. Ann Rheum Dis. 2018;77(9):1295-1302.[4]Buchkovich et al. Genome Med. 2017;9(86).Disclosure of InterestsArthur Kavanaugh Consultant of: AbbVie, Amgen, BMS, Genentech, Janssen, Eli Lilly, Merck, Novartis, Pfizer and UCB, Xenofon Baraliakos Consultant of: AbbVie, Chugai, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, MSD, and Novartis, Sheng Gao Employee of: Janssen Research & Development, LLC, and may own stock or stock options in Johnson & Johnson, Warner Chen Employee of: Janssen Research & Development, LLC, and may own stock or stock options in Johnson & Johnson, Kristen Sweet Employee of: Janssen Research & Development, LLC, and may own stock or stock options in Johnson & Johnson, Soumya D Chakravarty Employee of: Janssen Scientific Affairs, LLC, and may own stock or stock options in Johnson & Johnson, Qingxuan Song Employee of: Janssen Research & Development, LLC, and may own stock or stock options in Johnson & Johnson, May Shawi Employee of: Janssen Pharmaceutical Companies of Johnson & Johnson, and may own stock or stock options in Johnson & Johnson, Frank Behrens Speakers bureau: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Genzyme, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Consultant of: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Genzyme, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Grant/research support from: Celgene, Chugai, Janssen, Pfizer, and Roche, Proton Rahman Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Merck, Novartis, Pfizer, and UCB, Grant/research support from: Janssen, research grants from Janssen and Novartis
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Schett G, Chen W, Gao S, Chakravarty SD, Shawi M, Lavie F, Theander E, Neuhold M, Coates L, Siebert S. POS0308 EFFECT OF GUSELKUMAB ON SERUM BIOMARKERS IN PSORIATIC ARTHRITIS PATIENTS WITH INADEQUATE RESPONSE OR INTOLERANCE TO TUMOR NECROSIS FACTOR INHIBITORS: RESULTS FROM THE COSMOS STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundGuselkumab (GUS), a selective IL-23 inhibitor, is efficacious in treating bio-naïve and TNFi-experienced active PsA patients (pts).1.2 In the COSMOS study of active PsA pts with lack of efficacy/intolerance, i.e., inadequate response (IR), to 1-2 TNFi, GUS demonstrated significantly greater response rates and mean improvements in PsA signs and symptoms vs. placebo (PBO) at Week (W) 24.3ObjectivesEvaluate baseline (BL) serum levels of pro-inflammatory biomarkers (CRP, serum amyloid A [SAA], TNFα, IFNɣ, IL-6, IL-10, IL-17F, IL-17A, IL-22) and their relationship to BL disease activity, GUS treatment (tx), and clinical response in COSMOS TNFi-IR pts.MethodsTNFi-IR pts ≥18 yrs with active PsA (≥3 swollen & ≥3 tender joint counts [SJC/TJC]) were randomized 2:1 to GUS 100 mg every 8 W (Q8W) through W44 or PBO with early escape (W16) or crossover (W24) to GUS Q8W. Samples for serum biomarker analyses, collected at W0, 4, 16, 24, and 48 from consenting pts, were compared with healthy controls (HC; independent of COSMOS). Associations between early biomarker changes and BL disease activity, GUS tx, and clinical response at W24 were assessed.ResultsAmong 285 COSMOS pts, 50/95 PBO and 100/190 GUS pts had available biomarker data. BL characteristics of the biomarker cohort were similar to the overall COSMOS population and well balanced across tx arms. At BL, levels of TNFα, IFNɣ, IL-6, IL-10, IL-17A, IL-17F, and IL-22 were significantly upregulated in TNFi-IR pts vs. HC (Table 1). IL-6, CRP, and SAA levels were associated with BL joint disease severity per Disease Activity Score (DAS) 28-CRP (but not with SJC [0-66]/TJC [0-68]). IL-17A and IL-17F levels were associated with BL PASI score. Through W24, significant decreases from BL in levels of CRP, SAA, IL-6, IL-17A, IL-17F, and IL-22 were seen in GUS-, but not PBO-tx pts. Reductions in IL-17A, IL-17F and IL-22 with GUS were significant by W4, decreased further by W16, and were sustained through W24 and W48. In GUS-tx pts, serum levels of IL-17F (from W16) and IL-22 (from W4) were not significantly different vs. HC. At W48, reductions in these same markers were seen in PBO-tx pts who crossed over to GUS at W16/24 (Figure 1; IL-17A, IL-17F, & IL-22 data shown). In these TNFi-IR pts, GUS-tx pts achieving ACR20 at W24 exhibited higher IL-22 and IFNɣ levels at BL than nonresponders (NR). All other biomarkers evaluated were not significantly associated with ACR20 response to GUS. In the subset of pts with IGA of psoriasis assessed, BL IL-6 and SAA levels were upregulated in W24 IGA 0/1 responders (R) vs. NR in the GUS arm. ACR20 and IGA 0/1 R at W24 exhibited an early greater reduction in IL-6 expression (at W4) than did respective NR in the GUS arm. No BL biomarkers were associated with ACR50 or PASI75 responses to GUS at W24.Table 1.Select Serum Biomarkers at BL in TNFi-IR pts vs. HC▫Biomarker, pg/mLHC N=24TNFi-IR N=150Fold differencep-valueCRP22.1 (1.5)22.8 (2.2)1.60.2895SAA21.7 (1.2)22.8 (2.4)2.10.0794IL-60.07 (1.1)0.98 (1.7)1.90.0314*IL-10-2.3 (1.1)-1.7 (1.0)1.50.0272*IL-17A-2.1 (1.3)-0.3 (1.5)3.3<0.0001*IL-17F0.05 (1.1)1.3 (1.5)2.40.0007*IL-221.9 (1.1)3.1 (1.3)2.40.0002*TNFα0.5 (0.75)1.4 (1.1)1.80.0002*IFNɣ2.4 (0.84)2.9 (1.3)1.50.0259*Data are mean (SD); *p<0.05 and |fold difference| >1.4; ▫adjusted for confounding factors age & sex.ConclusionGUS-tx TNFi-IR pts showed response-specific associations with BL biomarkers (IL-22, IFNɣ, IL-6, and SAA). GUS resulted in decreased levels of elevated CRP, SAA, IL-6, IL-17A, IL-17F, and IL-22, while no significant change was observed with PBO tx. Reductions in these biomarkers were evident as early as W4 and approximated levels seen in HC from W16 onward (W4 for IL-22), suggesting apparent normalization of effector cytokines associated with the IL-23/Th17 axis following GUS tx.References[1]Deodhar A et al. Lancet 2020;395:1115-25.[2]Mease PJ et al. Lancet 2020;395:1126-36.[3]Coates LC et al. doi:10.1136/annrheumdis-2021-220991.Disclosure of InterestsGeorg Schett Speakers bureau: Amgen, AbbVie, Bristol Myers Squibb, Eli Lilly, Gilead, Janssen, Novartis and UCB, Warner Chen Shareholder of: Janssen, Employee of: Janssen, Sheng Gao Shareholder of: Janssen, Employee of: Janssen, Soumya D Chakravarty Shareholder of: Janssen, Employee of: Janssen, May Shawi Shareholder of: Janssen, Employee of: Janssen, Frederic Lavie Shareholder of: Janssen, Employee of: Janssen, Elke Theander Shareholder of: Janssen, Employee of: Janssen, Marlies Neuhold Shareholder of: Janssen, Employee of: Janssen, Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Medac, Novartis, Pfizer and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Galapagos, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Stefan Siebert Speakers bureau: AbbVie, Biogen, GSK, Janssen, Novartis, UCB, Grant/research support from: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, GSK, Janssen, Novartis, UCB
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Wang G, Gao S, Zhou G. 175P Mutations and clinical significance of calcium voltage-gated channel subunit alpha 1E (CACNA1E) in non-small cell lung cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Bei J, Xu G, Chang J, Wang X, Qiu D, Ruan J, Li X, Gao S. [SARS-CoV-2 with transcription regulatory sequence motif mutation poses a greater threat]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2022; 42:399-404. [PMID: 35426804 DOI: 10.12122/j.issn.1673-4254.2022.03.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To analyze the mutations in transcription regulatory sequences (TRSs) of coronaviruss (CoV) to provide the basis for exploring the patterns of SARS-CoV-2 transmission and outbreak. METHODS A combined evolutionary and molecular functional analysis of all sets of publicly available genomic data of viruses was performed. RESULTS A leader transcription regulatory sequence (TRS-L) usually comprises the first 60-70 nts of the 5' UTR in a CoV genome, and the body transcription regulatory sequences (TRS-Bs) are located immediately upstream of the genes other than ORF1a and 1b. In each CoV genome, the TRS-L and TRS-Bs share a specific consensus sequence, namely the TRS motif. Any changes of nucleotide residues in the TRS motifs are defined as TRS motif mutations. Mutations in the TRS-L or multiple TRS-Bs result in superattenuated variants. The spread of super-attenuated variants may cause an increase in asymptomatic or mild infections, prolonged incubation periods and a decreased detection rate of the viruses, thus posing new challenges to SARS-CoV-2 prevention and control. The super-attenuated variants also increase their possibility of long-term coexistence with humans. The Delta variant is significantly different from all the previous variants and may lead to a large-scale transmission. The Delta variant (B.1.617.2) with TRS motif mutation has already appeared and shown signs of spreading in Singapore, which, and even the Southeast Asia, may become the new epicenter of the next wave of SARS-CoV-2 outbreak. CONCLUSION TRS motif mutation will occur in all variants of SARS-CoV-2 and may result in super-attenuated variants. Only super-attenuated variants with TRS motif mutations will eventually lose the abilities of cross-species transmission and causing outbreaks.
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Gao S, Porumb M, Mumith A, Parker A, Walker S, Jones G, Chartsias A, Oliveira J, Hawkes W, Sarwar R, Leeson P, Woodward G, Beqiri A. Fully automated quantification of LV regional wall motion from echocardiograms to detect myocardial infarction. Eur Heart J Cardiovasc Imaging 2022. [DOI: 10.1093/ehjci/jeab289.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private company. Main funding source(s): Ultromics Ltd
Background
Myocardial wall motion analysis from echocardiography allows precise assessment of cardiac contractile function. Strain, which assesses myocardial deformation, has been shown to enable earlier detection of myocardial disease [1]. Current analysis software packages [2] use semi-automated methods to compute strain, which frequently require manual endocardial delineation and iterative contour adjustment based on tracking results, respectively, causing significant variability.
Purpose
We present a fully automated pipeline for tracking left ventricular (LV) wall motion to quantify global and segmental longitudinal strain from 2D echocardiograms, and go on to validate the pipeline with an openly available myocardial infarction (MI) dataset.
Methods
We applied our existing deep learning-based automated contouring method [3] to delineate the endocardial border in the A4C, A2C and A3C views and combined this with spline-based elastic image registration to track LV motion through time. We sampled points from a region of interest initiated from the endocardial border at the end-diastolic (ED) frame, and tracked subsequent motion by recomputing updated positions of all sample points based on each frame‘s displacement field, enabling us to both track the myocardium throughout the cardiac cycle and calculate longitudinal strain relative to the ED frame. The automated endocardial contour was used to regularise the process. The pipeline was independently tested on the HMC-QU dataset [4] which was downloaded from Kaggle and consists of a single cardiac cycle from the A4C view from 160 patients who were diagnosed with an acute MI and underwent echocardiography either prior to percutaneous coronary intervention or within 24 hours of undergoing the procedure; the dataset includes the labels of ED and end-systolic (ES) frames, as well as the presence of an MI in 6 segments excluding the apical cap (Fig 1a), as determined by the consensus of cardiologists from HMC Hospital in Qatar. The Wilcoxon signed-rank test was used to compare peak strain between the MI and non-MI segments; ROC curves were computed to compare the performance of the automatically derived peak longitudinal strain against the MI labels.
Results
Fig 1b shows ROC curves of peak segmental longitudinal strain for detecting MI, with the best performance in the mid-anterolateral segment (AUC 0.84), and a lower performance for basal segments than mid and apical segments, consistent with known variation in clinical practice [5]. Fig 2 shows that peak longitudinal strain computed from our pipeline was statistically significantly more positive in segments with an MI.
Conclusions
We present a fully automated pipeline for calculating segmental strain across a cardiac cycle to identify infarcted segments without any observer variability. Clinical application of this method has the potential to identify and monitor regional myocardial function and benefit patient management. Abstract Figure. Fig1. ROC of peak longitudinal strains Abstract Figure. Fig2.Boxplot of peak longitudinal strain
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Huang AP, Gao S, Huang SS, Wang GJ, Han DY, Dai P, Yuan YY. [Analysis of COL1A1 gene variation and clinical prevention and treatment in patients with Van der Hoeve syndrome]. ZHONGHUA ER BI YAN HOU TOU JING WAI KE ZA ZHI = CHINESE JOURNAL OF OTORHINOLARYNGOLOGY HEAD AND NECK SURGERY 2021; 56:1292-1299. [PMID: 34963217 DOI: 10.3760/cma.j.cn115330-20210110-00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the clinical phenotype, treatment and prevention of Van der Hoeve syndrome, and analyze the variation characteristics of its related gene COL1A1. Methods: Hearing and sequencing data of syndromic deafness patients who had undergone genetic testing for deafness at the Chinese People's Liberation Army General Hospital since January 2008 to October 2020 were retrospectively reviewed. The variation of the COL1A1 gene and return visits to traceable patients and families were summarized, the disease progress and clinical treatment effects were analyzed, and the prevention strategies were discussed. Results: A total of 7 patients with COL1A1 gene mutation underwent clinical intervention. The mutation sites were c.1342A>T (p.Lys448*), c.124C>T (p.Gln42*), c.249insG(p.Ala84*), c.668insC(p.Gly224*), c.2829+1G>C, c.1081C>T (p.Arg361*), c.1792C>T (p.Arg598*), of which c.1081C>T and c.1792C>T had been previously reported, and the remaining 5 were novo mutations that have not been reported. All the 7 probands underwent stapes implantation and received genetic counseling and prevention guidance. Conclusions: Van der Hoeve syndrome belongs to osteogenesis imperfecta type Ⅰ. The disease has high penetrance. Timely surgical intervention for hearing loss can improve the life quality in patients. Accurate genetic counseling and preimplantation genetic diagnosis can achieve the primary prevention for the disease.
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Chen Y, Guo C, Li X, Gao S, Shen Y, Zhang M, Yu J, Wu J, Que R, Zhang A, Bai X, Liang T. 146P Randomized phase II trial of neoadjuvant chemotherapy with modified FOLFIRINOX versus modified FOLFIRINOX and PD-1 antibody for borderline resectable and locally advanced pancreatic cancer (the CISPD-4 study). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Liu N, Wang R, Gao S, Zhang R, Fan F, Ma Y, Luo X, Ding D, Wu W. High-Performance Piezo-Electrocatalytic Sensing of Ascorbic Acid with Nanostructured Wurtzite Zinc Oxide. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2105697. [PMID: 34935214 DOI: 10.1002/adma.202105697] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/26/2021] [Indexed: 06/14/2023]
Abstract
Nanostructured piezoelectric semiconductors offer unprecedented opportunities for high-performance sensing in numerous catalytic processes of biomedical, pharmaceutical, and agricultural interests, leveraging piezocatalysis that enhances the catalytic efficiency with the strain-induced piezoelectric field. Here, a cost-efficient, high-performance piezo-electrocatalytic sensor for detecting l-ascorbic acid (AA), a critical chemical for many organisms, metabolic processes, and medical treatments, is designed and demonstrated. Zinc oxide (ZnO) nanorods and nanosheets are prepared to characterize and compare their efficacy for the piezo-electrocatalysis of AA. The electrocatalytic efficacy of AA is significantly boosted by the piezoelectric polarization induced in the nanostructured semiconducting ZnO catalysts. The charge transfer between the strained ZnO nanostructures and AA is elucidated to reveal the mechanism for the related piezo-electrocatalytic process. The low-temperature synthesis of high-quality ZnO nanostructures allows low-cost, scalable production, and integration directly into wearable electrocatalytic sensors whose performance can be boosted by otherwise wasted mechanical energy from the working environment, for example, human-generated mechanical signals.
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Yu P, Xiong Y, Zhao P, Yu H, Arola D, Gao S. Ceramic Inlay Bonded Interfaces in Minimally Invasive Preparations: Damage and Contributing Mechanisms in Sliding Contact. Oper Dent 2021; 47:E1-E11. [PMID: 34843621 DOI: 10.2341/20-144-l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND In the preparation of inlay cavities, a choice must be made between conventional standard and minimally invasive preparation designs; in the long run, this choice can affect the integrity of the bonded interface. PURPOSE To evaluate the effect of minimally invasive cavity preparation designs on the extent and contributing mechanisms of damage to ceramic inlay bonded interfaces. METHODS AND MATERIALS Tooth blocks with 90°, 120° and 75° marginal angles were prepared, representing tooth cavities with conventional standard and minimally invasive preparations with large divergence and convergence angles and bonded to monolithic ceramic (IPS e.max CAD). Vickers indentations were placed at various distances from the bonded interface. The indentation morphology and crack length were observed. Reciprocating wear tests were performed on the bonded interface with a 20-newton (N) vertical load. The wear depth and wear-scar morphology were characterized after increments of cyclic sliding contact. RESULTS The 120° group exhibited longer indentation cracks in the ceramic, whereas the 75° group showed larger indentations in the enamel when compared to the 90° group (p<0.001). Consistent with the weaker edge crack resistance, the 120° group experienced the greatest wear (p=0.008), and the wear depth in the enamel of the 75° group exceeded that of the 90° group (p<0.001) in the early stage (5×102 cycles). However, no significant difference in the wear depth (p>0.147) and morphology were found at the later wear stage among the three groups. CONCLUSION Within the limitations of this study, minimally invasive preparations with 120° and 75° marginal angles can result in early sever damage at the ceramic inlay bonded interface but show comparable wear behaviors to the conventional 90° group at the later stage.
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Jiang H, Gao S, Mao M, Điao Y, Tang Y, Hu J. The expression profile of miR-222b-5p/MAPK10 in spleens of SPF chickens infected with REV-SNV at 28-42 dpi. Pol J Vet Sci 2021; 24:439-443. [PMID: 34730307 DOI: 10.24425/pjvs.2021.138736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Reticuloendotheliosis virus (REV) is an avian oncogenic retrovirus that causes atrophy of immune organs, such as the spleen, thymus, and bursa of Fabricius, leading to severe immunosuppression. However, there is limited information describing the genes or microRNAs (miRNAs) that play a role in replicating REV-spleen necrosis virus (SNV). Our previous miRNA and RNA sequencing data showed that the expression of gga-miR-222b-5p was significantly upregulated in REV-SNV-infected chicken spleens of 7, 14, and 21 dpi compared to non-infected chicken spleens, but mitogen-activated protein kinase 10 (MAPK10), which is related to innate immunity, had the opposite expression pattern. To understand chicken cellular miRNA function in the virus-host interactions during REV infection, we used quantitative reverse transcription PCR (qRT-PCR) to determine whether the expression of gga-miR-222b-5p and MAPK10 in the spleen of specific-pathogen-free chickens at 28, 35, and 42 dpi was consistent with the first 3 time points, and dual-luciferase reporter assay was used to determine the targeting relationship between gga-miR-222b-5p and MAPK10. Results show that MAPK10 was downregulated at all 3 time points; however, significant difference (p⟨0.01) was noted only at 35 dpi. Moreover, the expression of gga-miR-222b-5p was upregulated; however, significant difference (p⟨0.01) was observed only at 28 and 35 dpi. A dual-luciferase reporter assay showed that MAPK10 is a direct target of gga-miR-222b-5p. This study suggests that gga-miR-222b-5p may target MAPK10 to promote the REV-SNV-induced tumorigenesis via the RLRs signaling pathway.
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Chang X, Deng W, Wenjie N, Li C, Han W, Gao L, Wang S, Zhou Z, Chen D, Qinfu F, Bi N, Lin Y, Gao S, Chen J, Xiao Z. Comparison of Two Major Staging Systems in Predicting Survival and Recommendation of Postoperative Radiotherapy Based on the 11th Japanese Classification for Esophageal Carcinoma After Curative Resection. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Li X, Tan Z, Li Z, Gao S, Yi K, Zhou C, Tang S, Han X. Metabolomic changes in the liver tissues of cows in early lactation supplemented with dietary rumen-protected glucose during the transition period. Anim Feed Sci Technol 2021. [DOI: 10.1016/j.anifeedsci.2021.115093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Mokhtech M, Gao S, Kassick M, Menderes G, Damast S. Declining Use of Inguinofemoral Lymphadenectomy in the Treatment of Clinically Negative, Pathologic Node Positive Vulvar Cancer: A National Cancer Database Analysis. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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