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Acharya S, Adamová D, Adler A, Adolfsson J, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Akbar Z, Akindinov A, Al-Turany M, Albuquerque DSD, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Anguelov V, Antičić T, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arratia M, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bala R, Balbino A, Baldisseri A, Ball M, Banerjee D, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Berenyi D, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat IR, Bhat MA, Bhattacharjee B, Bhattacharya P, Bianchi A, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buncic P, Buthelezi Z, Butt JB, Bysiak SA, Caffarri D, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Capon AA, Carnesecchi F, Caron R, Castillo Castellanos J, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chang W, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Chavez TG, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cuautle E, Cui P, Cunqueiro L, Dainese A, Damas FPA, Danisch MC, Danu A, Das I, Das P, Das P, Das S, Dash S, De S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Dello Stritto L, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Do J, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Eder TM, Ehlers RJ, Eikeland VN, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Festanti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Fuchs U, Funicello N, Furget C, Furs A, Fusco Girard M, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gay Ducati MB, Germain M, Ghosh J, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Gonzalez V, González-Trueba LH, Gorbunov S, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Graham KL, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guernane R, Guilbaud M, Guittiere M, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman IB, Haake R, Habib MK, Hadjidakis C, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hohlweger B, Honermann J, Hong GH, Horak D, Hornung S, Hosokawa R, Hristov P, Huang C, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hussain N, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jevons O, Jin M, Jonas F, Jones PG, Jung J, Jung M, Junique A, Jusko A, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim D, Kim DJ, Kim EJ, Kim H, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Koska L, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar L, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Lapidus K, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lee J, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmood SM, Mahmoud T, Maire A, Majka RD, Malaev M, Malik QW, Malinina L, Mal'Kevich D, Mallick N, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mazzoni MA, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Mengke C, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohammadi N, Mohanty AP, Mohanty B, Khan MM, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Naru MU, Nassirpour AF, Nattrass C, Nazarenko S, Neagu A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Parmar S, Pathak SP, Paul B, Pazzini J, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Ramos AGT, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riedler P, Riegler W, Riggi F, Ristea C, Rode SP, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Rotondi A, Roy A, Roy P, Rubini N, Rueda OV, Rui R, Rumyantsev B, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sheibani O, Sheikh AI, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TFD, Silvermyr D, Simatovic G, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storetvedt MM, Stylianidis CP, Suaide AAP, Sugitate T, Suire C, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Umaka EN, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vrláková J, Wagner B, Weber M, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Willsher E, Windelband B, Winn M, Witt WE, Wright JR, Wu Y, Xu R, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Yurchenko V, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang S, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Multiharmonic Correlations of Different Flow Amplitudes in Pb-Pb Collisions at sqrt[s_{NN}]=2.76 TeV. PHYSICAL REVIEW LETTERS 2021; 127:092302. [PMID: 34506195 DOI: 10.1103/physrevlett.127.092302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 06/09/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
The event-by-event correlations between three flow amplitudes are measured for the first time in Pb-Pb collisions, using higher-order symmetric cumulants. We find that different three-harmonic correlations develop during the collective evolution of the medium when compared to correlations that exist in the initial state. These new results cannot be interpreted in terms of previous lower-order flow measurements since contributions from two-harmonic correlations are explicitly removed in the new observables. A comparison to Monte Carlo simulations provides new and independent constraints for the initial conditions and system properties of nuclear matter created in heavy-ion collisions.
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Rosen JE, Agrawal N, Flum DR, Liao JM. Willingness to undergo antibiotic treatment of acute appendicitis based on risk of treatment failure. Br J Surg 2021; 108:e361-e363. [PMID: 34401894 DOI: 10.1093/bjs/znab280] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 07/06/2021] [Indexed: 11/13/2022]
Abstract
A randomized survey of 1257 respondents was used to assess willingness to undergo antibiotic treatment of appendicitis with different quoted risks of treatment failure requiring appendicectomy. Overall, 1045 respondents (83.1 per cent) were willing to try antibiotics. Even at a quoted 60 per cent risk of failure, 75 per cent of respondents were willing to attempt antibiotic treatment.
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Acharya S, Adamová D, Adler A, Adolfsson J, Aggarwal MM, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Akbar Z, Akindinov A, Al-Turany M, Alam SN, Albuquerque DSD, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Angeletti M, Anguelov V, Anson C, Antičić T, Antinori F, Antonioli P, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arratia M, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bagnasco S, Bai X, Bailhache R, Bala R, Balbino A, Baldisseri A, Ball M, Balouza S, Banerjee D, Barbera R, Barioglio L, Barnaföldi GG, Barnby LS, Barret V, Bartalini P, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Bedda C, Behera NK, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berenyi D, Bertens RA, Berzano D, Besoiu MG, Betev L, Bhasin A, Bhat IR, Bhat MA, Bhatt H, Bhattacharjee B, Bianchi A, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Bilandzic A, Biro G, Biswas R, Biswas S, Blair JT, Blau D, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruna E, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buncic P, Buthelezi Z, Butt JB, Bysiak SA, Caffarri D, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Capon AA, Carnesecchi F, Caron R, Castillo Castellanos J, Castro AJ, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chang W, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Chowdhury T, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cilladi LD, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Cormier TM, Corrales Morales Y, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cuautle E, Cui P, Cunqueiro L, Dabrowski D, Dahms T, Dainese A, Damas FPA, Danisch MC, Danu A, Das D, Das I, Das P, Das P, Das S, Dash A, Dash S, De S, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Deloff A, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Dillenseger P, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Ehlers RJ, Eikeland VN, Elia D, Erazmus B, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Festanti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Frankenfeld U, Fuchs U, Furget C, Furs A, Fusco Girard M, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gay Ducati MB, Germain M, Ghosh J, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Gomez Ramirez A, Gonzalez V, González-Trueba LH, Gorbunov S, Görlich L, Goswami A, Gotovac S, Grabski V, Graczykowski LK, Graham KL, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guernane R, Guittiere M, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman IB, Haake R, Habib MK, Hadjidakis C, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hassan QU, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herghelegiu A, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hohlweger B, Honermann J, Horak D, Hornung A, Hornung S, Hosokawa R, Hristov P, Huang C, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hussain N, Hussain SA, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jevons O, Jin M, Jonas F, Jones PG, Jung J, Jung M, Jusko A, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim B, Kim D, Kim DJ, Kim EJ, Kim H, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Klay JL, Klein C, Klein J, Klein S, Klein-Bösing C, Kleiner M, Kluge A, Knichel ML, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koska L, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Krüger M, Kryshen E, Krzewicki M, Kubera AM, Kučera V, Kuhn C, Kuijer PG, Kumar L, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lamanna M, Langoy R, Lapidus K, Lardeux A, Larionov P, Laudi E, Lavicka R, Lazareva T, Lea R, Leardini L, Lee J, Lee S, Lehner S, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lindenstruth V, Lindner A, Lippmann C, Lisa MA, Liu A, Liu J, Liu S, Llope WJ, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmood SM, Mahmoud T, Maire A, Majka RD, Malaev M, Malik QW, Malinina L, Mal'Kevich D, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Marchisone M, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin CD, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Masson E, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazzaschi F, Mazzilli M, Mazzoni MA, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Mengke C, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohammadi N, Mohanty AP, Mohanty B, Mohisin Khan M, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Naru MU, Nassirpour AF, Nattrass C, Nayak R, Nayak TK, Nazarenko S, Neagu A, Negrao De Oliveira RA, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Neumann LT, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Oppedisano C, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oyama K, Pachmayer Y, Pacik V, Padhan S, Pagano D, Paić G, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Parmar S, Pathak SP, Paul B, Pazzini J, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Pistone D, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Putschke J, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Raha S, Rajput S, Rak J, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ratza V, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Ren X, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riedler P, Riegler W, Riggi F, Ristea C, Rode SP, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rohr D, Röhrich D, Rojas PF, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Roslon K, Rossi A, Rotondi A, Roy A, Roy P, Rueda OV, Rui R, Rumyantsev B, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Šafařík K, Saha SK, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Scapparone E, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Serebryakov D, Sevcenco A, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silvermyr D, Simatovic G, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stenlund E, Stiefelmaier SF, Stocco D, Storetvedt MM, Stritto LD, Suaide AAP, Sugitate T, Suire C, Suleymanov M, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Thakur D, Thakur S, Thomas D, Thoresen F, Tieulent R, Tikhonov A, Timmins AR, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Tropp L, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Umaka EN, Uras A, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vernet R, Vértesi R, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vrláková J, Wagner B, Weber M, Weber SG, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Willsher E, Windelband B, Winn M, Witt WE, Wright JR, Wu Y, Xu R, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Yurchenko V, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang S, Zhang X, Zhang Z, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhou Z, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Soft-Dielectron Excess in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2021; 127:042302. [PMID: 34355943 DOI: 10.1103/physrevlett.127.042302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 04/12/2021] [Accepted: 06/08/2021] [Indexed: 06/13/2023]
Abstract
A measurement of dielectron production in proton-proton (pp) collisions at sqrt[s]=13 TeV, recorded with the ALICE detector at the CERN LHC, is presented in this Letter. The data set was recorded with a reduced magnetic solenoid field. This enables the investigation of a kinematic domain at low dielectron (ee) invariant mass m_{ee} and pair transverse momentum p_{T,ee} that was previously inaccessible at the LHC. The cross section for dielectron production is studied as a function of m_{ee}, p_{T,ee}, and event multiplicity dN_{ch}/dη. The expected dielectron rate from hadron decays, called hadronic cocktail, utilizes a parametrization of the measured η/π^{0} ratio in pp and proton-nucleus collisions, assuming that this ratio shows no strong dependence on collision energy at low transverse momentum. Comparison of the measured dielectron yield to the hadronic cocktail at 0.15<m_{ee}<0.6 GeV/c^{2} and for p_{T,ee}<0.4 GeV/c indicates an enhancement of soft dielectrons, reminiscent of the "anomalous" soft-photon and soft-dilepton excess in hadron-hadron collisions reported by several experiments under different experimental conditions. The enhancement factor over the hadronic cocktail amounts to 1.61±0.13(stat)±0.17(syst,data)±0.34(syst,cocktail) in the ALICE acceptance. Acceptance-corrected excess spectra in m_{ee} and p_{T,ee} are extracted and compared with calculations of dielectron production from hadronic bremsstrahlung and thermal radiation within a hadronic many-body approach.
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Broner EC, Trujillo JA, Korzinkin M, Subbannayya T, Agrawal N, Ozerov IV, Zhavoronkov A, Rooper L, Kotlov N, Shen L, Pearson AT, Rosenberg AJ, Savage PA, Mishra V, Chatterjee A, Sidransky D, Izumchenko E. Doublecortin-Like Kinase 1 (DCLK1) Is a Novel NOTCH Pathway Signaling Regulator in Head and Neck Squamous Cell Carcinoma. Front Oncol 2021; 11:677051. [PMID: 34336664 PMCID: PMC8323482 DOI: 10.3389/fonc.2021.677051] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 06/29/2021] [Indexed: 12/30/2022] Open
Abstract
Despite recent advancements, the 5 year survival of head and neck squamous cell carcinoma (HNSCC) hovers at 60%. DCLK1 has been shown to regulate epithelial-to-mesenchymal transition as well as serving as a cancer stem cell marker in colon, pancreatic and renal cancer. Although it was reported that DCLK1 is associated with poor prognosis in oropharyngeal cancers, very little is known about the molecular characterization of DCLK1 in HNSCC. In this study, we performed a comprehensive transcriptome-based computational analysis on hundreds of HNSCC patients from TCGA and GEO databases, and found that DCLK1 expression positively correlates with NOTCH signaling pathway activation. Since NOTCH signaling has a recognized role in HNSCC tumorigenesis, we next performed a series of in vitro experiments in a collection of HNSCC cell lines to investigate the role of DCLK1 in NOTCH pathway regulation. Our analyses revealed that DCLK1 inhibition, using either a pharmacological inhibitor or siRNA, resulted in substantially decreased proliferation, invasion, migration, and colony formation. Furthermore, these effects paralleled downregulation of active NOTCH1, and its downstream effectors, HEY1, HES1 and HES5, whereas overexpression of DCLK1 in normal keratinocytes, lead to an upregulation of NOTCH signaling associated with increased proliferation. Analysis of 233 primary and 40 recurrent HNSCC cancer biopsies revealed that high DCLK1 expression was associated with poor prognosis and showed a trend towards higher active NOTCH1 expression in tumors with elevated DCLK1. Our results demonstrate the novel role of DCLK1 as a regulator of NOTCH signaling network and suggest its potential as a therapeutic target in HNSCC.
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Naumov V, Putin E, Pushkov S, Kozlova E, Romantsov K, Kalashnikov A, Galkin F, Tihonova N, Shneyderman A, Galkin E, Zinkevich A, Cope SM, Sethuraman R, Oprea TI, Pearson AT, Tay S, Agrawal N, Dubovenko A, Vanhaelen Q, Ozerov I, Aliper A, Izumchenko E, Zhavoronkov A. COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity. PLoS Comput Biol 2021; 17:e1009183. [PMID: 34260589 PMCID: PMC8312936 DOI: 10.1371/journal.pcbi.1009183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 07/26/2021] [Accepted: 06/14/2021] [Indexed: 01/08/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several strains of SARS-CoV-2 have been identified. To gain a better understanding of the wide variety of SARS-CoV-2 strains and their associated symptoms, thousands of SARS-CoV-2 genomes have been sequenced in dozens of countries. In this article, we introduce COVIDomic, a multi-omics online platform designed to facilitate the analysis and interpretation of the large amount of health data collected from patients with COVID-19. The COVIDomic platform provides a comprehensive set of bioinformatic tools for the multi-modal metatranscriptomic data analysis of COVID-19 patients to determine the origin of the coronavirus strain and the expected severity of the disease. An integrative analytical workflow, which includes microbial pathogens community analysis, COVID-19 genetic epidemiology and patient stratification, allows to analyze the presence of the most common microbial organisms, their antibiotic resistance, the severity of the infection and the set of the most probable geographical locations from which the studied strain could have originated. The online platform integrates a user friendly interface which allows easy visualization of the results. We envision this tool will not only have immediate implications for management of the ongoing COVID-19 pandemic, but will also improve our readiness to respond to other infectious outbreaks.
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Abasiyanik MF, Flood B, Lin J, Ozcan S, Rouhani SJ, Pyzer A, Trujillo J, Zhen C, Wu P, Jumic S, Wang A, Gajewski TF, Wang P, Hartley M, Ameti B, Niemiec R, Fernando M, Mishra V, Savage P, Aydogan B, Bethel C, Matushek S, Beavis KG, Agrawal N, Segal J, Tay S, Izumchenko E. Sensitive detection and quantification of SARS-CoV-2 in saliva. Sci Rep 2021; 11:12425. [PMID: 34127708 PMCID: PMC8203799 DOI: 10.1038/s41598-021-91835-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/31/2021] [Indexed: 01/12/2023] Open
Abstract
Saliva has significant advantages as a test medium for detection of SARS-CoV-2 infection in patients, such as ease of collection, minimal requirement of supplies and trained personnel, and safety. Comprehensive validation in a large cohort of prospectively collected specimens with unknown SARS-CoV-2 status should be performed to evaluate the potential and limitations of saliva-based testing. We developed a saliva-based testing pipeline for detection of SARS-CoV-2 nucleic acids using real-time reverse transcription PCR (RT-PCR) and droplet digital PCR (ddPCR) readouts, and measured samples from 137 outpatients tested at a curbside testing facility and 29 inpatients hospitalized for COVID-19. These measurements were compared to the nasal swab results for each patient performed by a certified microbiology laboratory. We found that our saliva testing positively detects 100% (RT-PCR) and 93.75% (ddPCR) of curbside patients that were identified as SARS-CoV-2 positive by the Emergency Use Authorization (EUA) certified nasal swab testing assay. Quantification of viral loads by ddPCR revealed an extremely wide range, with 1 million-fold difference between individual patients. Our results demonstrate for both community screening and hospital settings that saliva testing reliability is on par with that of the nasal swabs in detecting infected cases, and has potential for higher sensitivity when combined with ddPCR in detecting low-abundance viral loads that evade traditional testing methods.
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Wei T, Leisegang M, Xia M, Kiyotani K, Li N, Zeng C, Deng C, Jiang J, Harada M, Agrawal N, Li L, Qi H, Nakamura Y, Ren L. Generation of neoantigen-specific T cells for adoptive cell transfer for treating head and neck squamous cell carcinoma. Oncoimmunology 2021; 10:1929726. [PMID: 34104546 PMCID: PMC8158031 DOI: 10.1080/2162402x.2021.1929726] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Adoptive cell therapy using TCR-engineered T cells (TCR-T cells) represents a promising strategy for treating relapsed and metastatic cancers. We previously established methods to identify neoantigen-specific TCRs based on patients’ PBMCs. However, in clinical practice isolation of PBMCs from advanced-stage cancer patients proves to be difficult. In this study, we substituted blood-derived T cells for tumor-infiltrating lymphocytes (TILs) and used an HLA-matched cell line of antigen-presenting cells (APCs) to replace autologous dendritic cells. Somatic mutations were determined in head and neck squamous cell carcinoma resected from two patients. HLA-A*02:01-restricted neoantigen libraries were constructed and transferred into HLA-matched APCs for stimulation of patient TILs. TCRs were isolated from reactive TIL cultures and functionality was tested using TCR- T cells in vitro and in vivo. To exemplify the screening approach, we identified the targeted neoantigen leading to recognition of the minigene construct that stimulated the strongest TIL response. Neoantigen peptides were used to load MHC-tetramers for T cell isolation and a TCR was identified targeting the KIAA1429D1358E mutation. TCR-T cells were activated, exhibited cytotoxicity, and secreted cytokines in a dose-dependent manner, and only when stimulated with the mutant peptide. Furthermore, comparable to a neoantigen-specific TCR that was isolated from the patient’s PBMCs, KIAA1429D1358E-specific TCR T cells destroyed human tumors in mice. The established protocol provides the required flexibility to methods striving to identify neoantigen-specific TCRs. By using an MHC-matched APC cell line and neoantigen-encoding minigene libraries, autologous TILs can be stimulated and screened when patient PBMCs and/or tumor material are not available anymore. Abbreviations: Head and neck squamous cell carcinoma (HNSCC); adoptive T cell therapy (ACT); T cell receptor (TCR); tumor-infiltrating lymphocytes (TIL); cytotoxic T lymphocyte (CTL); peripheral blood mononuclear cell (PBMC); dendritic cell (DC); antigen-presenting cells (APC)
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Rosenberg A, Agrawal N, Pearson AT, Seiwert TY, Gooi Z, Blair EA, Ginat D, Howard A, Chin J, Kochanny S, Izumchenko E, Juloori A, Haraf DJ, Vokes EE. Nivolumab, nabpaclitaxel, and carboplatin followed by risk/response adaptive de-escalated locoregional therapy for HPV-associated oropharyngeal cancer: OPTIMA II trial. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.6011] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
6011 Background: Despite the success of anti-PD-1 in recurrent/metastatic head and neck cancer, incorporation in the curative setting with induction therapy has yet to be investigated. Favorable prognosis of human papillomavirus associated (HPV+) oropharyngeal cancer (OPC) has led to interest in treatment de-escalation. OPTIMA 2 evaluated nivolumab (nivo) with nab-paclitaxel and carboplatin followed by risk/response adaptive de-intensified treatment for locoregionally advanced HPV+ OPC. We report the primary analysis and outcomes. Methods: OPTIMA 2 enrolled locoregionally advanced HPV+ OPC. Nivo, nab-paclitaxel, and carboplatin were administered for 3 cycles. High-risk (HR) included any of the following: T4, N2c-N3 (AJCC 7th edition), > 20 pack year smoking history, non-HPV16 subtype; All others were low-risk (LR). Arm A included LR with ≥50% post-induction shrinkage by RECIST received single-modality de-escalation with low-dose radiation (RT) alone (50 Gy) or transoral robotic surgery (TORS). Arm B included HR with ≥50% shrinkage or LR with <50% received intermediate-dose chemoradiation (CRT) to 45-50Gy. Arm C included all others and received regular dose CRT to 70-75Gy. Adjuvant nivo was administered for 6 months. The primary endpoint was deep response rate (DRR) ≥50% shrinkage to induction therapy. Results: From September 2017 until March 2020, 73 patients (pts) were eligible and started treatment. One pt died during induction. The DRR following induction was 70.8% (95% CI 60.3%, 81.3%). Median follow-up 23.1 months. Median age 61 (range 39-85), T4 12.3%, N2c/N3 19.2%, LR 47.9%, and HR 52.1%. De-escalated treatment was administered in 84.9%. Arm A N = 28, Arm B N = 34, and Arm C N = 10. 2-year progression free survival (PFS) for full cohort was 90.4% (95% CI = 79.3%, 95.7%). 2-year PFS for Arms A, B, and C were 96.3%, 85.8%, and 100.0% respectively. 2-year overall survival (OS) for full cohort was 93.3% (95% CI = 82.4%, 97.5%). 2-year OS for Arm A, B, and C were 96.0%, 91.9%, and 100.0% respectively. Among TORS (N = 9), pathologic complete response (pCR) rate was 66.7%. G-tube rates in Arms A, B, and C were 7.1%, 44.1%, and 75.0% respectively (p = 0.0001). Grade 4 toxicity in arms A, B, and C, were observed in 7.1%, 8.8%, and 10.0% of pts respectively. There were 3 local failures and no distant failures. Conclusions: Nivo/nab-paclitaxel/carboplatin followed by risk/response adaptive de-escalated treatment in locoregionally advanced HPV+ OPC demonstrates excellent survival outcomes with reduced toxicity and enteral feeding rates, including high risk disease. Induction chemoimmunotherapy demonstrates a high rate of deep clinical response and represents a promising de-escalation approach that incorporates anti-PD1 in the definitive setting. High pCR rate was observed following nivo/nab-paclitaxel/carboplatin. Clinical trial information: NCT03107182.
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Nair V, Auger S, Kochanny S, Howard F, Ginat D, Pasternak-Wise O, Juloori A, Izumchenko E, Agrawal N, Rosenberg A, Vokes EE, Skandari R, Pearson AT. Mathematical predication models to optimize post-treatment surveillance in HPV-associated oropharyngeal cancer. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.6027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
6027 Background: In this study we develop post-treatment imaging surveillance schedules for locally advanced oropharyngeal carcinoma (OPC) specific to the unique recurrence patterns of tumor stage and HPV status, using mathematical models. Current post-treatment imaging surveillance recommendations for OPC are not evidence based. The exception is the use of a positron emission tomography (PET) scan at 3 months post-treatment, after which practice across institutions diverge. An optimized and personalized surveillance schedule for OPC patients can minimize costs and diagnostic delays. Methods: A Markov multi-state model defining local and distant recurrences was trained using 2159 patients from the National Cancer Database. Patients from 2010-2015 treated at an academic or major cancer center with curative radiotherapy were included. Tumors must have been stage III to IVB (AJCC 7th edition) with known p16/HPV status. Model performance was then successfully externally validated using the 2016 International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S) study. Optimized radiographic surveillance schedules were created using this model, assuming a PET at month 3 and including 0 to 6 additional computed tomography (CT) scans of the neck and chest. Optimization was done for minimization of latency, defined as time between disease recurrence and radiographic discovery. Results: Model-selected schedules varied significantly from commonly utilized-surveillance schedules (such as imaging every 3 months within the first year from treatment) and showed lower mean diagnostic latency for every stage and HPV status (shown in Table). In the lowest risk cohort (Stage III HPV+), the optimized schedule had a sensitivity of 65% and latency of 3.1 months. In the highest risk group (Stage IVB HPV-), the optimized schedule had a sensitivity of 76% and latency of 1.9 months. Conclusions: Mathematical model optimization for HPV status and stage is feasible and produces non-intuitive results. These results could be used to inform surveillance if payors reimburse for fewer total scans. Across all cohorts, each added CT scan increases surveillance sensitivity and decreases latency. Incorporation of physical exam and direct visualization results into the model are still needed. Future steps include cost effectiveness research and prospective clinical trials.[Table: see text]
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Agrawal N, Izumchenko E, Hodge K, Young S, Melville JC, Shum J, Alsuwied D, Sandulache V, Harris M, Manzi A, Goldberg M. A phase II study of PRV111 nanoengineered cisplatin patch as a neoadjuvant therapy for early-stage oral squamous cell carcinoma (OSCC). J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.6056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
6056 Background: OSCC is a devastating disease causing substantial morbidity and mortality. Despite advancements in the conventional therapeutic approaches, surgical resection often leads to permanent disfigurement, while radiotherapies and systemic platinum-based chemotherapy result in significant toxicities, affecting patient wellbeing and quality of life. Thus, development of novel therapeutic approaches is paramount to improve health outcomes and survival of patients with OSCC. Systemic toxicity is often dose limiting, but could be tentatively reduced by locoregional administration. We have developed PRV111, a nanotechnology based patch for local and regional delivery of highly concentrated potent cisplatin, designed to penetrate tumor tissue, reach and enter regional lymph nodes and avoid systemic circulation. Here we present the results of phase 1/2 CLN-001 trial, designed to improve efficacy and reduce toxicity by neoadjuvant treatment with PRV111. Methods: A phase 1/2, single arm, open-label CLN-001 (NCT03502148) study has enrolled 12 patients with confirmed OSCC; unknown nodal involvement, no distant metastasis, and tumor size ≤ 4.0 cm. Three weeks prior to surgery, patients were administered 1 cycle of standalone neoadjuvant PRV111, consisting of up to 4 treatment visits (each visit dose: ≤12mg of cisplatin, each patch loading dose: 2mg of cisplatin). The primary endpoints were safety, efficacy and tumor reduction in ̃ 7 days by greater than 30%. Secondary endpoints included nanoengineered patch consistent and complete adhesion to mucosal surfaces and uniform drug release. Exploratory endpoints included immunogenesis/immunomodulation. Results: PRV111 successfully met all clinical primary endpoints, as well as safety and efficacy objectives. It caused over 70% tumor reduction in ̃7 days with over 87% response rate across 10 subjects. No dose-limiting toxicities, serious adverse event, or systemic toxicities were reported and no locoregional recurrences were evident in 6 months. PRV111 induced ̃15 times increase in tumor infiltrating lymphocytes compared with the initial biopsy. Concentrations of cisplatin found in the tumor and regional lymph nodes were over 300 and 100 times higher respectively as compared with IV cisplatin, with only negligible amount of cisplatin found in the blood. Grade 1 or 2 oral and tongue pain induced by the treatment were the most common adverse events. Furthermore, 97.5% successful patch performance was achieved across 182 patches used in the study. Conclusions: Adding neoadjuvent PRV111 to the care for patients with OSCC may improve the surgical outcome and increase event free survival. Given these encouraging results, future studies are needed to establish the application of this non-invasive platform in head and neck SCC and other epithelial cancers, including anal, colorectal, genitourinary, nasal, and skin. Clinical trial information: NCT03502148.
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Sloane H, Izumchenko E, Mattox A, Hasina R, Patel A, Jones F, Quinn H, Keyser K, Fredebohm J, Holtrup F, Pearson AT, Vokes EE, Seiwert TY, Edelstein DL, Rosenberg A, Agrawal N. Ultra-sensitive detection and quantification of HPV DNA in the plasma of patients with oropharyngeal squamous cell carcinoma (OPSCC) enrolled in the OPTIMA 2 treatment de-escalation trial. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.6048] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
6048 Background: Human papillomavirus (HPV) infection is a primary factor driving the increasing incidence of OPSCC. As patients with HPV+ OPSCC show significantly improved treatment response and prognosis, there is an urgent need to de-escalate treatment of HPV+ OPSCC that optimizes oncologic control while minimizing treatment-related toxicity. Cell-free HPV DNA (cfHPV-DNA) from plasma specimens represents a promising noninvasive surrogate of disease burden in these patients. To enable cfHPV-DNA analysis as a strategy to monitor response to therapy and guide treatment de-escalation, we developed a highly sensitive assay for HPV16/18 detection and quantification in plasma, based on the SafeSEQ next-generation sequencing (NGS) technology. Methods: Longitudinal plasma samples were collected from patients with locoregional HPV+ OPSCC treated on our institutional de-escalation protocol of induction chemoimmunotherapy followed by risk/response stratified de-escalated locoregional therapy, OPTIMA 2 (NCT03107182). Neck CT or MRI was obtained for all patients at baseline and following induction chemoimmunotherapy; radiographic response to induction therapy was assessed per RECIST 1.1 criteria. cfHPV-DNA was quantified in plasma samples collected at baseline and at the end of induction therapy. Changes in cfHPV-DNA levels were correlated with radiographic response. Results: The SafeSEQ HPV assay demonstrates high analytical sensitivity, with ability to detect a single copy of HPV DNA. Replicate testing of contrived samples containing HPV 16/18 DNA at defined levels revealed robust quantitative detection across a dynamic range over 5 orders of magnitude. The assay showed a low level of background signal ( < 0.04 copies per sample) across 20 healthy donor samples, indicating high specificity. In plasma samples collected at baseline from patients enrolled in OPTIMA 2, cfHPV-DNA was detected at levels ranging from 1 to > 30,000 copies/ml. A high correlation was observed between dynamic changes in patients’ cfHPV-DNA levels and radiographic responses following induction therapy. Furthermore, in samples collected longitudinally during induction therapy, changes in cfHPV-DNA levels accurately tracked radiographic responses to therapy. Conclusions: We have developed a highly sensitive and specific cfHPV-DNA detection assay based on SafeSEQ NGS technology and have successfully applied it to monitor therapeutic response in HPV+ OPSCC patients. The assay exhibits robust quantitative detection of HPV across a broad range of levels, even when only a few copies are present, enabling high-resolution molecular monitoring. Prospective studies are underway to further evaluate the kinetics of cfHPV-DNA as a predictor of response to therapy in order to more precisely guide the management of patients with HPV+ OPSCC.
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Shanmugam A, Hariharan AK, Hasina R, Nair JR, Katragadda S, Irusappan S, Ravichandran A, Veeramachaneni V, Bettadapura R, Bhati M, Ramaswamy V, Rao VUS, Bagadia RK, Manjunath A, NML M, Solomon MC, Maji S, Bahadur U, Bettegowda C, Papadopoulos N, Lingen MW, Hariharan R, Gupta V, Agrawal N, Izumchenko E. Ultrasensitive detection of tumor-specific mutations in saliva of patients with oral cavity squamous cell carcinoma. Cancer 2021; 127:1576-1589. [PMID: 33405231 PMCID: PMC8084899 DOI: 10.1002/cncr.33393] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 10/16/2020] [Accepted: 11/11/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Oral cavity squamous cell carcinoma (OCSCC) is the most common head and neck malignancy. Although the survival rate of patients with advanced-stage disease remains approximately 20% to 60%, when detected at an early stage, the survival rate approaches 80%, posing a pressing need for a well validated profiling method to assess patients who have a high risk of developing OCSCC. Tumor DNA detection in saliva may provide a robust biomarker platform that overcomes the limitations of current diagnostic tests. However, there is no routine saliva-based screening method for patients with OCSCC. METHODS The authors designed a custom next-generation sequencing panel with unique molecular identifiers that covers coding regions of 7 frequently mutated genes in OCSCC and applied it on DNA extracted from 121 treatment-naive OCSCC tumors and matched preoperative saliva specimens. RESULTS By using stringent variant-calling criteria, mutations were detected in 106 tumors, consistent with a predicted detection rate ≥88%. Moreover, mutations identified in primary malignancies were also detected in 93% of saliva samples. To ensure that variants are not errors resulting in false-positive calls, a multistep analytical validation of this approach was performed: 1) re-sequencing of 46 saliva samples confirmed 88% of somatic variants; 2) no functionally relevant mutations were detected in saliva samples from 11 healthy individuals without a history of tobacco or alcohol; and 3) using a panel of 7 synthetic loci across 8 sequencing runs, it was confirmed that the platform developed is reproducible and provides sensitivity on par with droplet digital polymerase chain reaction. CONCLUSIONS The current data highlight the feasibility of somatic mutation identification in driver genes in saliva collected at the time of OCSCC diagnosis.
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Dolezal JM, Trzcinska A, Liao CY, Kochanny S, Blair E, Agrawal N, Keutgen XM, Angelos P, Cipriani NA, Pearson AT. Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features. Mod Pathol 2021; 34:862-874. [PMID: 33299111 PMCID: PMC8064913 DOI: 10.1038/s41379-020-00724-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/28/2020] [Accepted: 11/11/2020] [Indexed: 12/14/2022]
Abstract
Noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) are follicular-patterned thyroid neoplasms defined by nuclear atypia and indolent behavior. They harbor RAS mutations, rather than BRAFV600E mutations as is observed in papillary thyroid carcinomas with extensive follicular growth. Reliably identifying NIFTPs aids in safe therapy de-escalation, but has proven to be challenging due to interobserver variability and morphologic heterogeneity. The genomic scoring system BRS (BRAF-RAS score) was developed to quantify the extent to which a tumor's expression profile resembles a BRAFV600E or RAS-mutant neoplasm. We proposed that deep learning prediction of BRS could differentiate NIFTP from other follicular-patterned neoplasms. A deep learning model was trained on slides from a dataset of 115 thyroid neoplasms to predict tumor subtype (NIFTP, PTC-EFG, or classic PTC), and was used to generate predictions for 497 thyroid neoplasms within The Cancer Genome Atlas (TCGA). Within follicular-patterned neoplasms, tumors with positive BRS (RAS-like) were 8.5 times as likely to carry an NIFTP prediction than tumors with negative BRS (89.7% vs 10.5%, P < 0.0001). To test the hypothesis that BRS may serve as a surrogate for biological processes that determine tumor subtype, a separate model was trained on TCGA slides to predict BRS as a linear outcome. This model performed well in cross-validation on the training set (R2 = 0.67, dichotomized AUC = 0.94). In our internal cohort, NIFTPs were near universally predicted to have RAS-like BRS; as a sole discriminator of NIFTP status, predicted BRS performed with an AUC of 0.99 globally and 0.97 when restricted to follicular-patterned neoplasms. BRAFV600E-mutant PTC-EFG had BRAFV600E-like predicted BRS (mean -0.49), nonmutant PTC-EFG had more intermediate predicted BRS (mean -0.17), and NIFTP had RAS-like BRS (mean 0.35; P < 0.0001). In summary, histologic features associated with the BRAF-RAS gene expression spectrum are detectable by deep learning and can aid in distinguishing indolent NIFTP from PTCs.
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Acharya S, Adamová D, Adler A, Adolfsson J, Aggarwal MM, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Akbar Z, Akindinov A, Al-Turany M, Alam SN, Albuquerque DSD, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Angeletti M, Anguelov V, Anson C, Antičić T, Antinori F, Antonioli P, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arratia M, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bagnasco S, Bai X, Bailhache R, Bala R, Balbino A, Baldisseri A, Ball M, Balouza S, Banerjee D, Barbera R, Barioglio L, Barnaföldi GG, Barnby LS, Barret V, Bartalini P, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Bedda C, Behera NK, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berenyi D, Bertens RA, Berzano D, Besoiu MG, Betev L, Bhasin A, Bhat IR, Bhat MA, Bhatt H, Bhattacharjee B, Bianchi A, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Bilandzic A, Biro G, Biswas R, Biswas S, Blair JT, Blau D, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruna E, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buncic P, Buthelezi Z, Butt JB, Bysiak SA, Caffarri D, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Capon AA, Carnesecchi F, Caron R, Castillo Castellanos J, Castro AJ, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chang W, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Chowdhury T, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cilladi LD, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Cormier TM, Corrales Morales Y, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cuautle E, Cui P, Cunqueiro L, Dabrowski D, Dahms T, Dainese A, Damas FPA, Danisch MC, Danu A, Das D, Das I, Das P, Das P, Das S, Dash A, Dash S, De S, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Deloff A, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Dillenseger P, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Ehlers RJ, Eikeland VN, Elia D, Erazmus B, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Festanti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Frankenfeld U, Fuchs U, Furget C, Furs A, Fusco Girard M, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gay Ducati MB, Germain M, Ghosh J, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Gomez Ramirez A, Gonzalez V, González-Trueba LH, Gorbunov S, Görlich L, Goswami A, Gotovac S, Grabski V, Graczykowski LK, Graham KL, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guernane R, Guittiere M, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman IB, Haake R, Habib MK, Hadjidakis C, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hassan QU, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herghelegiu A, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hohlweger B, Honermann J, Horak D, Hornung A, Hornung S, Hosokawa R, Hristov P, Huang C, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hussain N, Hussain SA, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jevons O, Jin M, Jonas F, Jones PG, Jung J, Jung M, Jusko A, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim B, Kim D, Kim DJ, Kim EJ, Kim H, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Klay JL, Klein C, Klein J, Klein S, Klein-Bösing C, Kleiner M, Kluge A, Knichel ML, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koska L, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Krüger M, Kryshen E, Krzewicki M, Kubera AM, Kučera V, Kuhn C, Kuijer PG, Kumar L, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lamanna M, Langoy R, Lapidus K, Lardeux A, Larionov P, Laudi E, Lavicka R, Lazareva T, Lea R, Leardini L, Lee J, Lee S, Lehner S, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lindenstruth V, Lindner A, Lippmann C, Lisa MA, Liu A, Liu J, Liu S, Llope WJ, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmood SM, Mahmoud T, Maire A, Majka RD, Malaev M, Malik QW, Malinina L, Mal'Kevich D, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Marchisone M, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin CD, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Masson E, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazzaschi F, Mazzilli M, Mazzoni MA, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Mengke C, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohammadi N, Mohanty AP, Mohanty B, Khan MM, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Naru MU, Nassirpour AF, Nattrass C, Nayak R, Nayak TK, Nazarenko S, Neagu A, Negrao De Oliveira RA, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Neumann LT, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Oppedisano C, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oyama K, Pachmayer Y, Pacik V, Padhan S, Pagano D, Paić G, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Parmar S, Pathak SP, Paul B, Pazzini J, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Pistone D, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Putschke J, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Raha S, Rajput S, Rak J, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ratza V, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Ren X, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riedler P, Riegler W, Riggi F, Ristea C, Rode SP, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rohr D, Röhrich D, Rojas PF, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Roslon K, Rossi A, Rotondi A, Roy A, Roy P, Rueda OV, Rui R, Rumyantsev B, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Šafařík K, Saha SK, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Scapparone E, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Serebryakov D, Sevcenco A, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silvermyr D, Simatovic G, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stenlund E, Stiefelmaier SF, Stocco D, Storetvedt MM, Stritto LD, Suaide AAP, Sugitate T, Suire C, Suleymanov M, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Thakur D, Thakur S, Thomas D, Thoresen F, Tieulent R, Tikhonov A, Timmins AR, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Tropp L, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Umaka EN, Uras A, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vernet R, Vértesi R, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vrláková J, Wagner B, Weber M, Weber SG, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Willsher E, Windelband B, Winn M, Witt WE, Wright JR, Wu Y, Xu R, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Yurchenko V, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang S, Zhang X, Zhang Z, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhou Z, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Elliptic Flow of Electrons from Beauty-Hadron Decays in Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2021; 126:162001. [PMID: 33961482 DOI: 10.1103/physrevlett.126.162001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 01/27/2021] [Accepted: 03/09/2021] [Indexed: 06/12/2023]
Abstract
The elliptic flow of electrons from beauty hadron decays at midrapidity (|y|<0.8) is measured in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV with the ALICE detector at the LHC. The azimuthal distribution of the particles produced in the collisions can be parametrized with a Fourier expansion, in which the second harmonic coefficient represents the elliptic flow, v_{2}. The v_{2} coefficient of electrons from beauty hadron decays is measured for the first time in the transverse momentum (p_{T}) range 1.3-6 GeV/c in the centrality class 30%-50%. The measurement of electrons from beauty-hadron decays exploits their larger mean proper decay length cτ≈500 μm compared to that of charm hadrons and most of the other background sources. The v_{2} of electrons from beauty hadron decays at midrapidity is found to be positive with a significance of 3.75 σ. The results provide insights into the degree of thermalization of beauty quarks in the medium. A model assuming full thermalization of beauty quarks is strongly disfavored by the measurement at high p_{T}, but is in agreement with the results at low p_{T}. Transport models including substantial interactions of beauty quarks with an expanding strongly interacting medium describe the measurement within uncertainties.
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Katipally R, Agrawal N, Juloori A. Radiation Therapy for Cutaneous Malignancies of the Head and Neck. Otolaryngol Clin North Am 2021; 54:307-327. [PMID: 33602518 DOI: 10.1016/j.otc.2020.11.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Radiation therapy plays an integral role in the management of cutaneous malignancies of the head and neck. This article highlights the use of radiation therapy in the definitive and adjuvant setting for basal cell carcinoma, cutaneous squamous cell carcinoma, melanoma, and Merkel cell carcinoma. Themes that emerge include the overall efficacy of radiation therapy as a local therapy, the relevance of cosmesis, functional outcomes, late toxicities as secondary end points, and the multitude of treatment modalities that are used.
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Das K, Raturi M, Agrawal N, Kala M, Kusum A. Indian blood donor selection guidelines: Review in the context of the ongoing COVID-19 pandemic. Transfus Clin Biol 2021; 28:213-216. [PMID: 33453376 DOI: 10.1016/j.tracli.2020.12.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 12/18/2020] [Accepted: 12/29/2020] [Indexed: 01/28/2023]
Abstract
The National Blood Transfusion Services under the aegis of the ministry of health and family welfare, India has recently issued guidelines regarding the blood donor selection criteria and the processing of blood. Care has been taken to make the blood transfusions safer. However, COVID-19 has disrupted the organization of the voluntary blood donation drives, whole blood donations [WBD] and restricted the donors' movement to the blood transfusion centres all across the world. While sickness and the need for transfusions are very much in place, the gap of demand against blood collection has widened. Additionally, with the monsoon season at hand, and the categorical challenges of a dengue outbreak, the subsequent need for blood components especially the platelet concentrates is going to rise. Some of the criteria laid for deferring a blood donor from his or her WBD need a categorical revision, considering these unprecedented times. We, therefore, critically analyzed the blood donor selection criteria and hereby, suggest an updating regarding the pre-donation haemoglobin, sexually transmitted diseases, lactation, pregnancy and many such subheadings. We also suggest collecting smaller blood volumes in the blood bags for the optimal benefit of the recipients both for now and also as a measure of pandemic preparedness for future use.
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Agrawal N, Chougale SD, Jedge P, Iyer S, Dsouza J. Brixia Chest X-ray Scoring System in Critically Ill Patients with COVID-19 Pneumonia for Determining Outcomes. J Clin Diagn Res 2021. [DOI: 10.7860/jcdr/2021/48844.15197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Introduction: In early stage of disease of Coronavirus Disease 2019 (COVID-19) infection chest Computed Tomography (CT) imaging is considered as the most effective method for detecting lung abnormalities. A Brixia Chest X-ray (CXR) scoring system which uses an 18-point severity scale to grade lung abnormalities due to COVID-19 was developed to improve the risk stratification for infected patients. Aim: To ascertain the validity of Brixia scoring system and to measure the outcome in COVID-19 patients. Materials and Methods: A retrospective study was conducted from 1st April 2020 to 31st July 2020, at a tertiary care hospital in India. Baseline CXR of COVID-19 patients were scored based on Brixia scoring system. The lungs were divided into six equal zones. Subsequently, scores (from 0-3) were assigned to each zone, based on lung abnormalities. A group comparison was implemented using Chi-Square test for categorical variables. Whereas an independent t-test was applied for continuous variables that followed normal distribution. Results: The study included 130 patients. The mean age was 57.09±13.73 years, 70.8% patients included were males. Out of 130 patients, 79 patients died. Among patients who died the mean CXR score was calculated to be 12.13±2.50. The mean CXR score was calculated to be 11.18±2.30 in patients who recovered and got discharged. During the process of comparison of CXR scores with the outcomes, the t-value came out to be 2.20 and the resulting p-value was 0.03 (statistically significant). Conclusion: Brixia score more than 12 was associated with increased mortality due to COVID-19, with p-value of 0.03.
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Munde Y, Agrawal N, Shah J, Lanjewar P, Jawale S. Running out of vascular access in chronic kidney disease patients - A case report on translumbar dialysis catheter. INDIAN JOURNAL OF VASCULAR AND ENDOVASCULAR SURGERY 2021. [DOI: 10.4103/ijves.ijves_173_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Abasiyanik MF, Flood B, Lin J, Ozcan S, Rouhani SJ, Pyzer A, Trujillo J, Zhen C, Wu P, Jumic S, Wang A, Gajewski TF, Wang P, Hartley M, Ameti B, Niemiec R, Fernando M, Aydogan B, Bethel C, Matushek S, Beavis KG, Agrawal N, Segal J, Tay S, Izumchenko E. Sensitive detection and quantification of SARS-CoV-2 in saliva. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020. [PMID: 33330880 DOI: 10.1101/2020.12.04.20241059] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Saliva has significant advantages as a test medium for detection of SARS-CoV-2 infection in patients, such as ease of collection, minimal requirement of supplies and trained personnel, and safety. Comprehensive validation in a large cohort of prospectively collected specimens with unknown SARS-CoV-2 status should be performed to evaluate the potential and limitations of saliva-based testing. We developed a saliva-based testing pipeline for detection of SARS-CoV-2 nucleic acids using real-time reverse transcription PCR (RT-PCR) and droplet digital PCR (ddPCR) readouts, and measured samples from 137 outpatients tested at a curbside testing facility and 29 inpatients hospitalized for COVID-19. These measurements were compared to the nasal swab results for each patient performed by a certified microbiology laboratory. We found that our saliva testing positively detects 100% (RT-PCR) and 93.75% (ddPCR) of curbside patients that were identified as SARS-CoV-2 positive by the Emergency Use Authorization (EUA) certified nasal swab testing assay. Quantification of viral loads by ddPCR revealed an extremely wide range, with 1 million-fold difference between individual patients. Our results demonstrate for both community screening and hospital settings that saliva testing reliability is on par with that of the nasal swabs in detecting infected cases, and has potential for higher sensitivity when combined with ddPCR in detecting low-abundance viral loads that evade traditional testing methods.
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Stanton AC, Koncar R, Golbourn B, Dey B, Agrawal N, Mack S, Pollack I, Agnihotri S. DIPG-47. HISTONE MUTATIONS ENHANCE RAS MEDIATED ERK5 GROWTH SIGNALING IN DIFFUSE MIDLINE GLIOMAS. Neuro Oncol 2020. [PMCID: PMC7715289 DOI: 10.1093/neuonc/noaa222.093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Diffuse midline gliomas (DMGs) are incurable brain tumors with an aggressive onset. Apart from irradiation, there are currently no effective therapies available for patients with DMG, who have a median survival time of less than one year. Most DMG cells harbor mutations in genes encoding histone H3 (H3K27M) proteins, resulting in a global reduction of H3K27 trimethylation and activation of oncogenic signaling pathways. Here we show that the H3K27M mutations contribute to RAS pathway signaling, which is augmented by additional RAS activators including PDGFRA. H3K27M mutation led to increased expression of receptor tyrosine kinases (RTK). A RAS pathway functional screen identified ERK5, but not ERK1/2, as a RAS pathway effector important for DMG growth. Suppression of ERK5 decreased DMG cell proliferation and induced apoptosis in vitro and in vivo. In addition, depletion or inhibition of ERK5 significantly increased survival of mice intracranially engrafted with DMG cells. Mechanistically, ERK5 directly stabilized the proto-oncogene MYC at the protein level. Additionally, persistent ERK5 depletion does not result in complete growth inhibition and therefore we set out to determine potential adaptation or resistance mechanisms in response to ERK5 loss. Using RNA-sequencing and Immunoprecipitation (IP) mass spectrometry (IP-MS), we have identified several positive and negative feedbacks involved in ERK5 that are also targetable. These findings identify the H3K27M mutation as an enhancer of RAS activation in DMG with ERK5 and ERK5 regulated networks immediately actionable pathways.
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Onderdonk BE, Vokes EE, Gwede M, Blair E, Agrawal N, Haraf DJ. Adjuvant treatment for high-risk salivary gland malignancies and prognostic stratification based on a 20-year single institution experience. Health Sci Rep 2020; 3:e195. [PMID: 33043152 PMCID: PMC7539565 DOI: 10.1002/hsr2.195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 09/08/2020] [Accepted: 09/11/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND AND AIM Retrospective analysis of the utility of adjuvant radiation (RT) or chemoradiation (CRT) and identify prognostic features for patients with high-risk head and neck salivary gland cancers. METHODS From 1/1997 to 12/2017, 108 patients underwent surgery, and RT (n = 50) or CRT (n = 58) for positive lymph node(s), extracapsular extension, perineural invasion, lymphovascular space invasion, positive/close margin, and/or grade 3 disease. Outcomes were estimated with the Kaplan-Meier method. Significant predictors identified through regression analyses were incorporated into multivariable regression (MVA). Toxicities were compared using chi-square. RESULTS The median follow-up was 52 months (range: 3-226). The number of risk factors (RFs) between RT and CRT groups were: 0 to 1 (44% vs 7%), 2 to 3 (48% vs 41%), or 4 to 6 (8% vs 52%), respectively (P < .01). On MVA, stage 3 or 4 disease predicted worse outcomes including overall survival (HR 4.55, P = .01). Increasing number of RFs predicted worse disease-free survival, distant metastasis-free survival, and overall survival (2-3 RFs: HR 3.38, P = .03; 4-6 RFs: HR 5.78, P < .01), but not locoregional control (P = .54). So, adjuvant CRT may have provided comparable locoregional control for patients with more adverse features, but the CRT did not translate into improved distant control. There was no difference in acute or late grade 3+ toxicities, or parenteral nutrition (P = .98, P = .85, and P = .83), respectively. CONCLUSIONS Adjuvant CRT provides adequate locoregional control in patients with more adverse RFs. The absolute number of RFs serves prognostic significance and should be considered in future prospective trials.
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Bahethi RR, Stepan KO, Pinotti R, Li R, Agrawal N, Puram SV, Miles BA, Barber B. Genetic Mutations in Young Nonsmoking Patients With Oral Cavity Cancer: A Systematic Review. OTO Open 2020; 4:2473974X20970181. [PMID: 33210069 PMCID: PMC7643225 DOI: 10.1177/2473974x20970181] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 09/27/2020] [Indexed: 12/15/2022] Open
Abstract
Objective This investigation aims to review the known genetic mutations associated with oral cavity squamous cell carcinoma (OCSCC) in young adults with limited environmental risk factors (YLERs). Data Sources A comprehensive search strategy was designed to identify studies in MEDLINE (Ovid), Embase (Ovid), and Scopus from database inception to May 2017 that included adults ≤50 years of age with OCSCC and minimal tobacco use history (≤10 pack-years) who had their tumors genetically sequenced or mutational profiles analyzed. Review Methods Identified articles were screened by 2 reviewers. Quality of evidence was graded by the MINORS criteria for case-control studies; other studies were graded by assigning a level of evidence for gene mutation literature. Results Thirteen studies met our inclusion criteria, and 130 patients met our criteria for age and tobacco history. TP53 was the most commonly evaluated gene (10 of 13 studies) and the most frequently observed mutation. One study reported that nonsmokers had significantly fewer TP53 mutations, while 9 studies found no difference in the prevalence of TP53 mutations. No other mutations were found specific to this cohort. Conclusions TP53 mutations may occur at a similar rate in YLERs with OCSCC as compared with older patients or those with risk factors. However, few studies have aimed to characterize the genetic landscape of oral cavity tumors in this population, often with small sample sizes. Future studies are needed to explore unidentified genetic alterations leading to tumor susceptibility or alternative mechanisms of carcinogenesis.
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Price KAR, Nichols AC, Shen CJ, Rammal A, Lang P, Palma DA, Rosenberg AJ, Chera BS, Agrawal N. Novel Strategies to Effectively De-escalate Curative-Intent Therapy for Patients With HPV-Associated Oropharyngeal Cancer: Current and Future Directions. Am Soc Clin Oncol Educ Book 2020; 40:1-13. [PMID: 32213088 DOI: 10.1200/edbk_280687] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The treatment of patients with HPV-associated oropharyngeal cancer (HPV-OPC) is rapidly evolving and challenging the standard of care of definitive radiotherapy with concurrent cisplatin. There are numerous promising de-escalation strategies under investigation, including deintensified definitive chemoradiotherapy, transoral surgery followed by de-escalated adjuvant therapy, and induction chemotherapy followed by de-escalated locoregional therapy. Definitive radiotherapy alone or with cetuximab is not recommended for curative-intent treatment of patients with locally advanced HPV-OPC. The results of ongoing phase III studies are awaited to help answer key questions and address ongoing controversies to transform the treatment of patients with HPV-OPC. Strategies for de-escalation under investigation include the incorporation of immunotherapy and the use of novel biomarkers for patient selection for de-escalation.
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Campbell BR, Chen Z, Faden DL, Agrawal N, Li RJ, Hanna GJ, Iyer NG, Boot A, Rozen SG, Vettore AL, Panda B, Krishnan NM, Pickering CR, Myers JN, Guo X, Lang Kuhs KA. The mutational landscape of early- and typical-onset oral tongue squamous cell carcinoma. Cancer 2020; 127:544-553. [PMID: 33146897 DOI: 10.1002/cncr.33309] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 09/30/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The incidence of oral tongue squamous cell carcinoma (OTSCC) is increasing among younger birth cohorts. The etiology of early-onset OTSCC (diagnosed before the age of 50 years) and cancer driver genes remain largely unknown. METHODS The Sequencing Consortium of Oral Tongue Cancer was established through the pooling of somatic mutation data of oral tongue cancer specimens (n = 227 [107 early-onset cases]) from 7 studies and The Cancer Genome Atlas. Somatic mutations at microsatellite loci and Catalog of Somatic Mutations in Cancer mutation signatures were identified. Cancer driver genes were identified with the MutSigCV and WITER algorithms. Mutation comparisons between early- and typical-onset OTSCC were evaluated via linear regression with adjustments for patient-related factors. RESULTS Two novel driver genes (ATXN1 and CDC42EP1) and 5 previously reported driver genes (TP53, CDKN2A, CASP8, NOTCH1, and FAT1) were identified. Six recurrent mutations were identified, with 4 occurring in TP53. Early-onset OTSCC had significantly fewer nonsilent mutations even after adjustments for tobacco use. No associations of microsatellite locus mutations and mutation signatures with the age of OTSCC onset were observed. CONCLUSIONS This international, multicenter consortium is the largest study to characterize the somatic mutational landscape of OTSCC and the first to suggest differences by age of onset. This study validates multiple previously identified OTSCC driver genes and proposes 2 novel cancer driver genes. In analyses by age, early-onset OTSCC had a significantly smaller somatic mutational burden that was not explained by differences in tobacco use. LAY SUMMARY This study identifies 7 specific areas in the human genetic code that could be responsible for promoting the development of tongue cancer. Tongue cancer in young patients (under the age of 50 years) has fewer overall changes to the genetic code in comparison with tongue cancer in older patients, but the authors do not think that this is due to differences in smoking rates between the 2 groups. The cause of increasing cases of tongue cancer in young patients remains unclear.
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Elbanna M, Shiue K, Edwards D, Cerra-Franco A, Agrawal N, Hinton J, Mereniuk T, Huang C, Ryan J, Smith J, Aaron V, Burney H, Zang Y, Holmes J, Langer M, Zellars R, Lautenschlaeger T. Impact of Lung Parenchymal-Only Failure on Overall Survival in Early Stage Lung Cancer Patients Treated with Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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