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Koo T, Yoon AR, Cho HY, Bae S, Yun CO, Kim JS. Selective disruption of an oncogenic mutant allele by CRISPR/Cas9 induces efficient tumor regression. Nucleic Acids Res 2017; 45:7897-7908. [PMID: 28575452 PMCID: PMC5570104 DOI: 10.1093/nar/gkx490] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 05/25/2017] [Indexed: 12/20/2022] Open
Abstract
Approximately 15% of non-small cell lung cancer cases are associated with a mutation in the epidermal growth factor receptor (EGFR) gene, which plays a critical role in tumor progression. With the goal of treating mutated EGFR-mediated lung cancer, we demonstrate the use of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated protein 9 (Cas9) system to discriminate between the oncogenic mutant and wild-type EGFR alleles and eliminate the carcinogenic mutant EGFR allele with high accuracy. We targeted an EGFR oncogene harboring a single-nucleotide missense mutation (CTG > CGG) that generates a protospacer-adjacent motif sequence recognized by the CRISPR/Cas9 derived from Streptococcus pyogenes. Co-delivery of Cas9 and an EGFR mutation-specific single-guide RNA via adenovirus resulted in precise disruption at the oncogenic mutation site with high specificity. Furthermore, this CRISPR/Cas9-mediated mutant allele disruption led to significantly enhanced cancer cell killing and reduced tumor size in a xenograft mouse model of human lung cancer. Taken together, these results indicate that targeting an oncogenic mutation using CRISPR/Cas9 offers a powerful surgical strategy to disrupt oncogenic mutations to treat cancers; similar strategies could be used to treat other mutation-associated diseases.
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Afrough M, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Barthelmy SD, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Berger BK, Bergmann G, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhagwat S, Bhandare R, Bilenko IA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Biwer C, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Boom BA, Bork R, Boschi V, Bose S, Bossie K, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Branchesi M, Brau JE, Briant T, Brillet A, Brinkmann M, Brisson V, Brockill P, Broida JE, Brooks AF, Brown DA, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Chatziioannou K, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia H, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung AKW, Chung S, Ciani G, Ciolfi R, Cirelli CE, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colla A, Collette CG, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Dal Canton T, Dálya G, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, De S, DeBra D, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Demos N, Denker T, Dent T, De Pietri R, Dergachev V, De Rosa R, DeRosa RT, De Rossi C, DeSalvo R, de Varona O, Devenson J, Dhurandhar S, Díaz MC, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Di Pace S, Di Palma I, Di Renzo F, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Douglas R, Dovale Álvarez M, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Ducrot M, Dupej P, Dwyer SE, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenstein RA, Essick RC, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Factourovich M, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Finstad D, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fries EM, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard H, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia-Quiros C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gehrels N, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giaime JA, Giardina KD, Giazotto A, Gill K, Glover L, Goetz E, Goetz R, Gomes S, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Heurs M, Hild S, Hinderer T, Hoak D, Hofman D, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hu YM, Huerta EA, Huet D, Hughey B, Husa S, Huttner SH, Huynh-Dinh T, Indik N, Inta R, Intini G, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Jawahar S, Jiménez-Forteza F, Johnson WW, Johnson-McDaniel NK, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Kent C, Key JS, Khalili FY, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, Kimbrell SJ, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Krishnan B, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li TGF, Linker SD, Littenberg TB, Liu J, Lo RKL, Lockerbie NA, London LT, Lord JE, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña Hernandez I, Magaña-Sandoval F, Magaña Zertuche L, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsh P, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIntyre G, McIver J, McManus DJ, McNeill L, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mercer RA, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller BB, Miller J, Millhouse M, Milovich-Goff MC, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moffa D, Moggi A, Mogushi K, Mohan M, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Morriss SR, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Newport JM, Newton G, Ng KKY, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Noack A, Nocera F, Nolting D, North C, Nuttall LK, Oberling J, O'Dea GD, Ogin GH, Oh JJ, Oh SH, Ohme F, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pan HW, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Poe M, Poggiani R, Popolizio P, Porter EK, Post A, Powell J, Prasad J, Pratt JWW, Pratten G, Predoi V, Prestegard T, Prijatelj M, Principe M, Privitera S, Prix R, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Reyes SD, Ricci F, Ricker PM, Rieger S, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano JD, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sadeghian L, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Sassolas B, Sathyaprakash BS, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Sheperd A, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sonnenberg JA, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Staley A, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tanner DB, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tuyenbayev D, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, Vallisneri M, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wen L, Wessel EK, Weßels P, Westerweck J, Westphal T, Wette K, Whelan JT, Whitcomb SE, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford J, Wong KWK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J. GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence. PHYSICAL REVIEW LETTERS 2017; 119:141101. [PMID: 29053306 DOI: 10.1103/physrevlett.119.141101] [Citation(s) in RCA: 163] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Indexed: 05/21/2023]
Abstract
On August 14, 2017 at 10∶30:43 UTC, the Advanced Virgo detector and the two Advanced LIGO detectors coherently observed a transient gravitational-wave signal produced by the coalescence of two stellar mass black holes, with a false-alarm rate of ≲1 in 27 000 years. The signal was observed with a three-detector network matched-filter signal-to-noise ratio of 18. The inferred masses of the initial black holes are 30.5_{-3.0}^{+5.7}M_{⊙} and 25.3_{-4.2}^{+2.8}M_{⊙} (at the 90% credible level). The luminosity distance of the source is 540_{-210}^{+130} Mpc, corresponding to a redshift of z=0.11_{-0.04}^{+0.03}. A network of three detectors improves the sky localization of the source, reducing the area of the 90% credible region from 1160 deg^{2} using only the two LIGO detectors to 60 deg^{2} using all three detectors. For the first time, we can test the nature of gravitational-wave polarizations from the antenna response of the LIGO-Virgo network, thus enabling a new class of phenomenological tests of gravity.
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Lee SH, Yu J, Hwang GH, Kim S, Kim HS, Ye S, Kim K, Park J, Park DY, Cho YK, Kim JS, Bae S. CUT-PCR: CRISPR-mediated, ultrasensitive detection of target DNA using PCR. Oncogene 2017; 36:6823-6829. [PMID: 28846115 PMCID: PMC5736524 DOI: 10.1038/onc.2017.281] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 06/29/2017] [Indexed: 12/19/2022]
Abstract
Circulating tumor DNA (ctDNA) has emerged as a tumor-specific biomarker for the early detection of various cancers. To date, several techniques have been devised to enrich the extremely small amounts of ctDNA present in plasma, but they are still insufficient for cancer diagnosis, especially at the early stage. Here, we developed a novel method, CUT (CRISPR-mediated, Ultrasensitive detection of Target DNA)-PCR, which uses CRISPR endonucleases to enrich and detect the extremely small amounts of tumor DNA fragments among the much more abundant wild-type DNA fragments by specifically eliminating the wild-type sequences. We computed that by using various orthologonal CRISPR endonucleases such as SpCas9 and FnCpf1, the CUT-PCR method would be applicable to 80% of known cancer-linked substitution mutations registered in the COSMIC database. We further verified that CUT-PCR together with targeted deep sequencing enables detection of a broad range of oncogenes with high sensitivity (<0.01%) and accuracy, which is superior to conventional targeted deep sequencing. In the end, we successfully applied CUT-PCR to detect sequences with oncogenic mutations in the ctDNA of colorectal cancer patients’ blood, suggesting that our technique could be adopted for diagnosing various types of cancer at early stages.
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Shin D, Bae S, Choi Y, Kang M. A PILOT TRIAL FOR COMMUNITY EMPOWERMENT THROUGH NURSE-LED COUNSELING CENTERS. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Park Y, Bae S. THE PILOT STUDY ON EFFECTS OF FORMAL CAREGIVER EDUCATIONAL TRAINING PROGRAM IN KOREA. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Bae S, Kim D, Choi J, Yoon J. RELATIONSHIP BETWEEN PERSON-CENTERED PRACTICES AND STAFF’S OUTCOMES IN KOREAN LONG-TERM CARE. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.3259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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McAdams De Marco M, Bae S, Gross A, Walston J, Segev D. DEMENTIA AND ALZHEIMER’S DISEASE AMONG OLDER KIDNEY TRANSPLANT RECIPIENTS. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.4700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Afrough M, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Aufmuth P, Aulbert C, AultONeal K, Avila-Alvarez A, Babak S, Bacon P, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Baune C, Bawaj M, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Berger BK, Bergmann G, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhagwat S, Bhandare R, Bilenko IA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Bisht A, Bitossi M, Biwer C, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Bogaert G, Bohe A, Bondu F, Bonnand R, Boom BA, Bork R, Boschi V, Bose S, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Braginsky VB, Branchesi M, Brau JE, Briant T, Brillet A, Brinkmann M, Brisson V, Brockill P, Broida JE, Brooks AF, Brown DA, Brown DD, Brown NM, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerboni Baiardi L, Cerretani G, Cesarini E, Chamberlin SJ, Chan M, Chao S, Charlton P, Chassande-Mottin E, Chatterjee D, Chatziioannou K, Cheeseboro BD, Chen HY, Chen Y, Cheng HP, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung AKW, Chung S, Ciani G, Ciolfi R, Cirelli CE, Cirone A, Clara F, Clark JA, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Colla A, Collette CG, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Dal Canton T, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, De S, DeBra D, Deelman E, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Denker T, Dent T, Dergachev V, De Rosa R, DeRosa RT, DeSalvo R, Devenson J, Devine RC, Dhurandhar S, Díaz MC, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Di Pace S, Di Palma I, Di Renzo F, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Douglas R, Dovale Álvarez M, Downes TP, Drago M, Drever RWP, Driggers JC, Du Z, Ducrot M, Duncan J, Dwyer SE, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenstein RA, Essick RC, Etienne ZB, Etzel T, Evans M, Evans TM, Factourovich M, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fehrmann H, Feicht J, Fejer MM, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fisher RP, Flaminio R, Fletcher M, Fong H, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fries EM, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard H, Gabel M, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garufi F, Gaudio S, Gaur G, Gayathri V, Gehrels N, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giaime JA, Giardina KD, Giazotto A, Gill K, Glover L, Goetz E, Goetz R, Gomes S, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Hall BR, Hall ED, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Henry J, Heptonstall AW, Heurs M, Hild S, Hoak D, Hofman D, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hu YM, Huerta EA, Huet D, Hughey B, Husa S, Huttner SH, Huynh-Dinh T, Indik N, Ingram DR, Inta R, Intini G, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Jawahar S, Jiménez-Forteza F, Johnson WW, Johnson-McDaniel NK, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kandhasamy S, Kang G, Kanner JB, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Kent C, Key JS, Khalili FY, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim W, Kim WS, Kim YM, Kimbrell SJ, King EJ, King PJ, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Krishnan B, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li TGF, Libson A, Littenberg TB, Liu J, Lo RKL, Lockerbie NA, London LT, Lord JE, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña Hernandez I, Magaña-Sandoval F, Magaña Zertuche L, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Maros E, Martelli F, Martellini L, Martin IW, Martynov DV, Marx JN, Mason K, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mayani R, Mazumder N, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIntyre G, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mercer RA, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Mezzani F, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Miller BB, Miller J, Millhouse M, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moggi A, Mohan M, Mohapatra SRP, Montani M, Moore BC, Moore CJ, Moraru D, Moreno G, Morriss SR, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muniz EAM, Murray PG, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Nelemans G, Nelson TJN, Neri M, Nery M, Neunzert A, Newport JM, Newton G, Ng KKY, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Noack A, Nocera F, Nolting D, Normandin MEN, Nuttall LK, Oberling J, Ochsner E, Oelker E, Ogin GH, Oh JJ, Oh SH, Ohme F, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Paris HR, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patricelli B, Pearlstone BL, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pitkin M, Poggiani R, Popolizio P, Porter EK, Post A, Powell J, Prasad J, Pratt JWW, Predoi V, Prestegard T, Prijatelj M, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Qin J, Qiu S, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rakhmanov M, Ramirez KE, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Rew H, Reyes SD, Ricci F, Ricker PM, Rieger S, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano JD, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Ryan K, Rynge M, Sachdev S, Sadecki T, Sadeghian L, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sandberg V, Sandeen B, Sanders JR, Sassolas B, Sathyaprakash BS, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheuer J, Schmidt E, Schmidt J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shao L, Shapiro B, Shawhan P, Sheperd A, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer A, Singer LP, Singh A, Singh R, Singhal A, Sintes AM, Slagmolen BJJ, Smith B, Smith JR, Smith RJE, Son EJ, Sonnenberg JA, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staley A, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stephens BC, Stevenson SP, Stone R, Strain KA, Stratta G, Strigin SE, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Talukder D, Tanner DB, Tápai M, Taracchini A, Taylor JA, Taylor R, Theeg T, Thomas EG, Thomas M, Thomas P, Thorne KA, Thorne KS, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torrie CI, Töyrä D, Travasso F, Traylor G, Trifirò D, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tuyenbayev D, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Vahi K, Vahlbruch H, Vajente G, Valdes G, Vallisneri M, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Voss DV, Vousden WD, Vyatchanin SP, Wade AR, Wade LE, Wade M, Wald RM, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang M, Wang YF, Wang Y, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wen L, Wessel EK, Weßels P, Westphal T, Wette K, Whelan JT, Whiting BF, Whittle C, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford J, Wong KWK, Worden J, Wright JL, Wu DS, Wu G, Yam W, Yamamoto H, Yancey CC, Yap MJ, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu XJ, Zimmerman A, Zucker ME, Zweizig J. GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2. PHYSICAL REVIEW LETTERS 2017; 118:221101. [PMID: 28621973 DOI: 10.1103/physrevlett.118.221101] [Citation(s) in RCA: 220] [Impact Index Per Article: 31.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Indexed: 05/21/2023]
Abstract
We describe the observation of GW170104, a gravitational-wave signal produced by the coalescence of a pair of stellar-mass black holes. The signal was measured on January 4, 2017 at 10∶11:58.6 UTC by the twin advanced detectors of the Laser Interferometer Gravitational-Wave Observatory during their second observing run, with a network signal-to-noise ratio of 13 and a false alarm rate less than 1 in 70 000 years. The inferred component black hole masses are 31.2_{-6.0}^{+8.4}M_{⊙} and 19.4_{-5.9}^{+5.3}M_{⊙} (at the 90% credible level). The black hole spins are best constrained through measurement of the effective inspiral spin parameter, a mass-weighted combination of the spin components perpendicular to the orbital plane, χ_{eff}=-0.12_{-0.30}^{+0.21}. This result implies that spin configurations with both component spins positively aligned with the orbital angular momentum are disfavored. The source luminosity distance is 880_{-390}^{+450} Mpc corresponding to a redshift of z=0.18_{-0.07}^{+0.08}. We constrain the magnitude of modifications to the gravitational-wave dispersion relation and perform null tests of general relativity. Assuming that gravitons are dispersed in vacuum like massive particles, we bound the graviton mass to m_{g}≤7.7×10^{-23} eV/c^{2}. In all cases, we find that GW170104 is consistent with general relativity.
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Powell T, Dilley S, Bae S, Straughn J, Kim K, Leath C. Demographic and geographic factors associated with advanced cervical cancer in a rural state. Gynecol Oncol 2017. [DOI: 10.1016/j.ygyno.2017.03.323] [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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Toboni M, Bae S, Straughn J, Leath C. Predictors of unplanned reoperation for ovarian cancer patients from the National Surgical Quality Improvement Program database. Gynecol Oncol 2017. [DOI: 10.1016/j.ygyno.2017.03.408] [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]
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Kim HS, Lee K, Bae S, Park J, Lee CK, Kim M, Kim E, Kim M, Kim S, Kim C, Kim JS. CRISPR/Cas9-mediated gene knockout screens and target identification via whole-genome sequencing uncover host genes required for picornavirus infection. J Biol Chem 2017; 292:10664-10671. [PMID: 28446605 PMCID: PMC5481571 DOI: 10.1074/jbc.m117.782425] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 04/21/2017] [Indexed: 12/26/2022] Open
Abstract
Several groups have used genome-wide libraries of lentiviruses encoding small guide RNAs (sgRNAs) for genetic screens. In most cases, sgRNA expression cassettes are integrated into cells by using lentiviruses, and target genes are statistically estimated by the readout of sgRNA sequences after targeted sequencing. We present a new virus-free method for human gene knockout screens using a genome-wide library of CRISPR/Cas9 sgRNAs based on plasmids and target gene identification via whole-genome sequencing (WGS) confirmation of authentic mutations rather than statistical estimation through targeted amplicon sequencing. We used 30,840 pairs of individually synthesized oligonucleotides to construct the genome-scale sgRNA library, collectively targeting 10,280 human genes (i.e. three sgRNAs per gene). These plasmid libraries were co-transfected with a Cas9-expression plasmid into human cells, which were then treated with cytotoxic drugs or viruses. Only cells lacking key factors essential for cytotoxic drug metabolism or viral infection were able to survive. Genomic DNA isolated from cells that survived these challenges was subjected to WGS to directly identify CRISPR/Cas9-mediated causal mutations essential for cell survival. With this approach, we were able to identify known and novel genes essential for viral infection in human cells. We propose that genome-wide sgRNA screens based on plasmids coupled with WGS are powerful tools for forward genetics studies and drug target discovery.
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Kim JY, Cho J, Kim H, Kang D, Jung HA, Lee SH, Bae S, Yu JH, Lee SK, Kim SW, Lee JE, Nam SJ, Ahn JS, Im YH, Guallar E, Park YH. Abstract P6-09-50: Impact of young age on recurrence and mortality after surgery in breast cancer: 15 years active surveillance. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p6-09-50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction:Substantial efforts have been made to find factors associated with breast cancer (BC) recurrence and mortality after BC treatment. So far TNM stage, ER, PR, and HER2 status are considered as the major predictive markers of BC recurrence and used for treatment decision. However, most of these factors were evaluated independent from other important confounders such as age, stage, and various anti-cancer treatments because they were mostly derived from clinical trials. In Korea, up to 50% of BC patients are premenopausal women, it is not clear how age at diagnosis affect the progression and outcomes of the disease considering all known prognostic factors including TNM stage, ER, PR, and HER2 status. We aim to evaluate the impact of young age on recurrence and mortality after surgery among Korean women with BC.
Methods: This is a retrospective cohort study conducted using the data from BC registry from 2000 to 2016 at Samsung Medical Cancer, Seoul, Korea. Patients who received curative BC surgery and who had histologically-confirmed invasive BC between 2000 to 2011 were included in the study. Patients who second primary cancer or double primary cancer were excluded. Information local, regional, or distant recurrence and death until May 2016 was collected using electronic medical records and National Health Statistics. Cumulative incidence rates of distant recurrence and morality at 3-years, 5-years and 10-years were calculated using a competing-risk model. Cox proportional hazards analysis were conducted with 3 different models to take into account for potential confounding factors including age, body mass index (BMI), stage and subtype at breast cancer diagnosis, chemotherapy, radiotherapy and hormone therapy.
Results:There were 7360 BC patients with curative BC surgery between 2000 and 2011, and the average follow up duration was 75.4 months. The mean age at diagnosis was 48.4 years old (Standard deviation (SD)=±10), and 6.2% (n=459) was diagnosed younger than 35. Of total, 13.3% were stage III BC and 73.4% of patients had hormone receptor positive BC. The cumulative incidence (95%CI) of recurrence at 3, 5, and 10 years was 4.4% (3.9-4.9), 7.5% (6.8-8.2), and 14.8% (12.9-16.7) respectively. The incidence of mortality at 3, 5, and 10 years was 1.8% (1.5-2.1), 3.8% (3.3-4.3), and 10.2% (9.1-11.5) respectively. Patients who were diagnosed BC under 35 years of age had 2.14 (95% confidence interval (CI):1.74-3.10) and 1.62 (95% CI:1.02-2.56) times higher risk of distant recurrence and mortality compared to patients whose age at diagnosis were between 50 to 60 after adjusting all well-known prognostic factors including stage, subtype, and BMI at diagnosis, chemotherapy, radiotherapy and hormone therapy.
Conclusions: Young age at diagnosis (<35) was the most significant predictor on BC recurrence and mortality independently from BC stage and subtype. Further study is warranted to explain biologic background for the differences in outcomes in young women with BC.
Citation Format: Kim J-Y, Cho J, Kim H, Kang D, Jung HA, Lee S-H, Bae S, Yu JH, Lee SK, Kim SW, Lee JE, Nam SJ, Ahn JS, Im Y-H, Guallar E, Park YH. Impact of young age on recurrence and mortality after surgery in breast cancer: 15 years active surveillance [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-09-50.
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Park J, Lim K, Kim JS, Bae S. Cas-analyzer: an online tool for assessing genome editing results using NGS data. BIOINFORMATICS (OXFORD, ENGLAND) 2017. [PMID: 27559154 DOI: 10.1093/bioinformatics/btw561.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Genome editing with programmable nucleases has been widely adopted in research and medicine. Next generation sequencing (NGS) platforms are now widely used for measuring the frequencies of mutations induced by CRISPR-Cas9 and other programmable nucleases. Here, we present an online tool, Cas-Analyzer, a JavaScript-based implementation for NGS data analysis. Because Cas-Analyzer is completely used at a client-side web browser on-the-fly, there is no need to upload very large NGS datasets to a server, a time-consuming step in genome editing analysis. Currently, Cas-Analyzer supports various programmable nucleases, including single nucleases and paired nucleases. AVAILABILITY AND IMPLEMENTATION Free access at http://www.rgenome.net/cas-analyzer/ CONTACT: sangsubae@hanyang.ac.kr or jskim01@snu.ac.krSupplementary information: Supplementary data are available at Bioinformatics online.
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Tolosa-Delgado A, Agramunt J, Ahn DS, Algora A, Baba H, Bae S, Brewer NT, Caballero Folch R, Calvino F, Coleman-Smith PJ, Cortes G, Davinson T, Dillmann I, Domingo-Pardo C, Estrade A, Fukuda N, Go S, Griffin CJ, Grzywacz R, Ha J, Hall O, Harkness-Brennan L, Isobe T, Kahl D, Kiss GG, Kogimtzis M, Kubono S, Labiche M, Lazarus I, Lee J, Liu J, Lorusso G, Matsui K, Miernik K, Montes F, Moon B, Morales A, Nepal N, Nishimura S, Page RD, Phong VH, Podolyak Z, Pucknell VFE, Rasco BC, Regan P, Riego A, Rubio B, Rykaczewski K, Saito Y, Sakurai H, Shimizu Y, Simpson J, Söderström PA, Stracener DW, Sumikama T, Suzuki H, Tain JL, Takechi M, Takeda H, Tarifeño-Saldivia A, Thomas SL, Woods P. Commissioning of the BRIKEN beta-delayed neutron detector for the study of exotic neutron-rich nuclei. EPJ WEB OF CONFERENCES 2017. [DOI: 10.1051/epjconf/201716501051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Yu J, Baek K, Jin E, Bae S. DNA-free Genome Editing of Chlamydomonas reinhardtii Using CRISPR and Subsequent Mutant Analysis. Bio Protoc 2017; 7:e2352. [DOI: 10.21769/bioprotoc.2352] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 05/15/2017] [Accepted: 05/24/2017] [Indexed: 11/02/2022] Open
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Franco BB, Dharmakulaseelan L, McAndrew A, Bae S, Cheung MC, Singh S. The experiences of cancer survivors while transitioning from tertiary to primary care. ACTA ACUST UNITED AC 2016; 23:378-385. [PMID: 28050133 DOI: 10.3747/co.23.3140] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE In current fiscally constrained health care systems, the transition of cancer survivors to primary care from tertiary care settings is becoming more common and necessary. The purpose of our study was to explore the experiences of survivors who are transitioning from tertiary to primary care. METHODS One focus group and ten individual telephone interviews were conducted. Data saturation was reached with 13 participants. All sessions were audio-recorded, transcribed verbatim, and analyzed using a qualitative descriptive approach. RESULTS Eight categories relating to the main content category of transition readiness were identified in the analysis. Several factors affected participant transition readiness: how the transition was introduced, perceived continuity of care, support from health care providers, clarity of the timeline throughout the transition, and desire for a "roadmap." Although all participants spoke about the effect of their relationships with health care providers (tertiary, transition, and primary care), their relationship with the primary care provider had the most influence on their transition readiness. CONCLUSIONS Our study provided insights into survivor experiences during the transition to primary care. Transition readiness of survivors is affected by many factors, with their relationship with the primary care provider being particularly influential. Understanding transition readiness from the survivor perspective could prove useful in ensuring patient-centred care as transitions from tertiary to primary care become commonplace.
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Choi YM, Kim KB, Lee JH, Chun YK, An IS, An S, Bae S. DBC2/RhoBTB2 functions as a tumor suppressor protein via Musashi-2 ubiquitination in breast cancer. Oncogene 2016; 36:2802-2812. [PMID: 27941885 PMCID: PMC5442418 DOI: 10.1038/onc.2016.441] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 09/10/2016] [Accepted: 10/20/2016] [Indexed: 12/16/2022]
Abstract
The gene encoding ‘deleted in breast cancer 2' (DBC2), also referred to as RHOBTB2 (Rho-related BTB domain-containing protein 2), is classified as a tumor suppressor gene. DBC2 is a substrate-specific adaptor protein for a novel class of Cullin-3 (CUL3)-based E3 ubiquitin ligases; however, it is unclear if the substrate adaptor function of DBC2 is required for its tumor suppressor activity. Furthermore, the key substrates of DBC2-mediated ubiquitination have yet to be identified. In the present study, we established a genome-wide human cDNA library-based in vitro ubiquitination target screening assay and identified Musashi-2 (MSI2) as a novel ubiquitination target protein of DBC2. MSI2 directly interacted with DBC2, and this interaction promoted MSI2 polyubiquitination and proteasomal degradation in breast cancer cells. Overexpression and knockdown experiments demonstrated that DBC2 suppressed MSI2-associated oncogenic functions and induced apoptosis. Immunohistochemistry analysis of a breast cancer tissue microarray revealed that DBC2 and MSI2 protein levels are inversely correlated in both normal breast tissues and breast cancer tissues. Taken together, these findings provide evidence that DBC2 suppresses tumorigenesis in breast cancer by ubiquitinating MSI2.
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143
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Kim S, Jeong SN, Bae S, Chung H, Yoo SY. Sensitive Surface Enhanced Raman Scattering-Based Detection of a BIGH3 Point Mutation Associated with Avellino Corneal Dystrophy. Anal Chem 2016; 88:11288-11292. [PMID: 27934116 DOI: 10.1021/acs.analchem.6b03320] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Surface enhanced Raman scattering (SERS) is highly useful for sensitive analytical sensing; however, its practical availability for detecting a point mutation associated with disease in clinical sample was rarely proved. Herein, we present a toehold-mediated, DNA displacement-based, SERS sensor for detecting point mutations in the BIGH3 gene associated with the most common corneal dystrophies (CDs) in a clinical setting. To diagnose Avellino corneal dystrophy (ACD), selectivity was ensured by exploring optimal DNA displacement conditions such as length of toehold and hybridization temperature. A SERS-efficient Ag@Au bimetallic nanodendrite was employed to ensure sensitivity. Optimization for a clinical setting showed that discrimination was maximized when toehold length was 6-mer (T6), and hybridization temperature was 36 °C. On the basis of tests that used clinical homozygous and heterozygous CD samples, a single-base mismatched DNA sequence was identifiable within 30 min with a limit of detection (LOD) of 400 fM. From the results, we conclude that our toehold-mediated, DNA displacement-based, SERS sensor allows a rapid and sensitive detection of a BIGH3 gene point mutation associated with Avellino corneal dystrophy, indicating the practical ability of the method to diagnose genetic diseases caused by point mutations.
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144
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Lim Y, Bak SY, Sung K, Jeong E, Lee SH, Kim JS, Bae S, Kim SK. Structural roles of guide RNAs in the nuclease activity of Cas9 endonuclease. Nat Commun 2016; 7:13350. [PMID: 27804953 PMCID: PMC5097132 DOI: 10.1038/ncomms13350] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 09/22/2016] [Indexed: 02/06/2023] Open
Abstract
The type II CRISPR-associated protein Cas9 recognizes and cleaves target DNA with the help of two guide RNAs (gRNAs; tracrRNA and crRNA). However, the detailed mechanisms and kinetics of these gRNAs in the Cas9 nuclease activity are unclear. Here, we investigate the structural roles of gRNAs in the CRISPR-Cas9 system by single-molecule spectroscopy and reveal a new conformation of inactive Cas9 that is thermodynamically more preferable than active apo-Cas9. We find that tracrRNA prevents Cas9 from changing into the inactive form and leads to the Cas9:gRNA complex. For the Cas9:gRNA complex, we identify sub-conformations of the RNA-DNA heteroduplex during R-loop expansion. Our single-molecule study indicates that the kinetics of the sub-conformations is controlled by the complementarity between crRNA and target DNA. We conclude that both tracrRNA and crRNA regulate the conformations and kinetics of the Cas9 complex, which are crucial in the DNA cleavage activity of the CRISPR-Cas9 system.
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145
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Badawy A, Khedr G, Omar A, Bae S, Arafat W, Grant S. Hyponatremia and hypoalbuminemia as predictive factors for response to first line treatment for metastatic non-small cell lung cancer. Ann Oncol 2016. [DOI: 10.1093/annonc/mdw363.66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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146
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Park J, Lim K, Kim JS, Bae S. Cas-analyzer: an online tool for assessing genome editing results using NGS data. Bioinformatics 2016; 33:286-288. [PMID: 27559154 PMCID: PMC5254075 DOI: 10.1093/bioinformatics/btw561] [Citation(s) in RCA: 237] [Impact Index Per Article: 29.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 08/12/2016] [Accepted: 08/22/2016] [Indexed: 12/17/2022] Open
Abstract
Summary Genome editing with programmable nucleases has been widely adopted in research and medicine. Next generation sequencing (NGS) platforms are now widely used for measuring the frequencies of mutations induced by CRISPR-Cas9 and other programmable nucleases. Here, we present an online tool, Cas-Analyzer, a JavaScript-based implementation for NGS data analysis. Because Cas-Analyzer is completely used at a client-side web browser on-the-fly, there is no need to upload very large NGS datasets to a server, a time-consuming step in genome editing analysis. Currently, Cas-Analyzer supports various programmable nucleases, including single nucleases and paired nucleases. Availability and Implementation Free access at http://www.rgenome.net/cas-analyzer/. Supplementary information Supplementary data are available at Bioinformatics online.
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147
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Bartolucci AA, Bae S, Singh KP. THE ASSOCIATION BETWEEN DEMOGRAPHICS AND HYPERALDOSTERONISM: A BAYESIAN PERSPECTIVE. JP JOURNAL OF BIOSTATISTICS 2016. [DOI: 10.17654/bo013010065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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148
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Baek K, Kim DH, Jeong J, Sim SJ, Melis A, Kim JS, Jin E, Bae S. DNA-free two-gene knockout in Chlamydomonas reinhardtii via CRISPR-Cas9 ribonucleoproteins. Sci Rep 2016; 6:30620. [PMID: 27466170 PMCID: PMC4964356 DOI: 10.1038/srep30620] [Citation(s) in RCA: 164] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Accepted: 07/06/2016] [Indexed: 12/14/2022] Open
Abstract
Microalgae are versatile organisms capable of converting CO2, H2O, and sunlight into fuel and chemicals for domestic and industrial consumption. Thus, genetic modifications of microalgae for enhancing photosynthetic productivity, and biomass and bio-products generation are crucial for both academic and industrial applications. However, targeted mutagenesis in microalgae with CRISPR-Cas9 is limited. Here we report, a one-step transformation of Chlamydomonas reinhardtii by the DNA-free CRISPR-Cas9 method rather than plasmids that encode Cas9 and guide RNAs. Outcome was the sequential CpFTSY and ZEP two-gene knockout and the generation of a strain constitutively producing zeaxanthin and showing improved photosynthetic productivity.
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149
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Baek K, Kim DH, Jeong J, Sim SJ, Melis A, Kim JS, Jin E, Bae S. DNA-free two-gene knockout in Chlamydomonas reinhardtii via CRISPR-Cas9 ribonucleoproteins. Sci Rep 2016. [PMID: 27466170 DOI: 10.1038/srep30620nymark] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2023] Open
Abstract
Microalgae are versatile organisms capable of converting CO2, H2O, and sunlight into fuel and chemicals for domestic and industrial consumption. Thus, genetic modifications of microalgae for enhancing photosynthetic productivity, and biomass and bio-products generation are crucial for both academic and industrial applications. However, targeted mutagenesis in microalgae with CRISPR-Cas9 is limited. Here we report, a one-step transformation of Chlamydomonas reinhardtii by the DNA-free CRISPR-Cas9 method rather than plasmids that encode Cas9 and guide RNAs. Outcome was the sequential CpFTSY and ZEP two-gene knockout and the generation of a strain constitutively producing zeaxanthin and showing improved photosynthetic productivity.
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150
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Urowitz MB, Gladman D, Ibañez D, Fortin P, Sanchez-Guerrero J, Bae S, Clarke A, Bernatsky S, Gordon C, Hanly J, Wallace D, Isenberg D, Ginzler E, Merrill J, Alarcon G, Steinsson K, Petri M, Dooley MA, Bruce I, Manzi S, Khamashta M, Ramsey-Goldman R, Zoma A, Sturfelt G, Nived O, Maddison P, Font J, van Vollenhoven R, Aranow C, Kalunian K, Stoll T, Buyon J. Clinical manifestations and coronary artery disease risk factors at diagnosis of systemic lupus erythematosus: data from an international inception cohort. Lupus 2016; 16:731-5. [PMID: 17728367 DOI: 10.1177/0961203307081113] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Systemic Lupus International Collaborating Clinics (SLICC) comprises 27 centres from 11 countries. An inception cohort of 918 SLE patients has been assembled according to a standardized protocol between 2000 and 2006. Clinical features, classic coronary artery disease (CAD) risk factors, as well as other potential risk factors were collected. Of the 918 patients 89% were females, and of multi racial origin. Less than half the patients were living in a permanent relationship, 58% had post secondary education and 51% were employed. Eight percent had family history of SLE. At enrolment, with at mean age of diagnosis of 34.5 years, a significant number of patients already had CAD risk factors, such as hypertension (33%) and hypercholesterolemia (36%). Only 15% of the patients were postmenopausal, 16% were current smokers and 3.6% had diabetes at entry to the SLICC-RAS (Registry for Atherosclerosis). A number of patients in this multi-racial, multi-ethnic inception cohort of lupus patients have classic CAD risk factors within a mean of 5.4 months from diagnosis. This cohort will be increased to 1500 patients to be followed yearly for 10 years. This will provide a unique opportunity to evaluate risk factors for accelerated atherosclerosis in SLE. Lupus (2007) 16, 731—735.
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