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Gao M, Ge M, Xu Z, Ji Q, Shi F, Qin J, Wang F, Chen G, Zhang Y, Huang R, Tan J, Huang T, Li S, Lv Z, Lin Y, Guo Z, Kubota T, Suzuki T, Ikezawa H, Zheng X. 421P A multicenter, randomized, double-blind, placebo (PBO)-controlled, phase III trial of lenvatinib (LEN) in patients (pts) with radioiodine-refractory differentiated thyroid cancer (RR-DTC) in China. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.413] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Xiao W, Li M, Guo Z, Zhang R, Xi S, Zhang X, Li Y, Wu D, Ren Y, Pang X, Wan X, Li K, Zhou C, Zhai X, Wang Q, Zeng Z, Zhang H, Yang X, Wu Y, Li M, Gao Y. A Genotype Signature for Predicting Pathologic Complete Response in Locally Advanced Rectal Cancer. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Shi M, Gu A, Tu H, Huang C, Wang H, Yu Z, Wang X, Cao L, Shu Y, Wang H, Yang R, Li X, Chang J, Hu Y, Shen P, Hu Y, Guo Z, Tao M, Zhang Y, Liu X, Sun Q, Zhang X, Jiang Z, Zhao J, Chen F, Yu H, Zhang W, Sun J, Li D, Zhou J, Han B, Wu YL. Comparing nanoparticle polymeric micellar paclitaxel and solvent-based paclitaxel as first-line treatment of advanced non-small-cell lung cancer: an open-label, randomized, multicenter, phase III trial. Ann Oncol 2020; 32:85-96. [PMID: 33130217 DOI: 10.1016/j.annonc.2020.10.479] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 09/25/2020] [Accepted: 10/15/2020] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Polymeric micellar paclitaxel (pm-Pac) is a novel Cremophor EL-free, nanoparticle micellar formulation of paclitaxel. We aimed to compare the efficacy and safety between pm-Pac plus cisplatin and solvent-based paclitaxel (sb-Pac) plus cisplatin in advanced non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS A total of 448 stage IIIB to IV NSCLC patients were randomly assigned (2:1) to receive six 3-week cycles of either pm-Pac (230 mg/m2) plus cisplatin (70 mg/m2; n = 300), followed by dose escalation of pm-Pac to 300 mg/m2 from the second 3-week cycle if prespecified toxic effects were not observed after the first cycle, or sb-Pac (175 mg/m2) plus cisplatin (70 mg/m2; n = 148). The primary end point was objective response rate (ORR) assessed by independent review committees (IRCs). The secondary end points included IRC-assessed progression-free survival (PFS), overall survival (OS), and safety. RESULTS Patients in the pm-Pac-plus-cisplatin group showed significant improvements in IRC-assessed ORR compared with those in the sb-Pac-plus-cisplatin group (50% versus 26%; rate ratio 1.91; P < 0.0001). Additionally, subgroup analysis showed that a higher ORR was consistently observed in both squamous and nonsquamous histological types. IRC-assessed median PFS was significantly higher in the pm-Pac-plus-cisplatin group than in the sb-Pac-plus-cisplatin group (6.4-month versus 5.3-month; hazard ratio 0.63; P = 0.0001). Median OS was not significantly different between the two groups. The incidence of treatment-related serious adverse events (9% versus 18%; P = 0.0090) was significantly lower in the pm-Pac-plus-cisplatin group than in the sb-Pac-plus-cisplatin group. CONCLUSION Pm-Pac plus cisplatin yielded superior ORR and PFS along with a favorable safety profile and should become an option for patients with advanced NSCLC. CLINICAL TRIAL IDENTIFIER ClinicalTrials.gov NCT02667743; https://clinicaltrials.gov/ct2/show/NCT02667743.
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Ding X, Xu S, Li S, Guo Z, Lu H, Lai C, Wu J, Wang J, Zeng S, Lin X, Zhou L. Biological Effects of Titanium Surface Charge with a Focus on Protein Adsorption. ACS OMEGA 2020; 5:25617-25624. [PMID: 33073087 PMCID: PMC7557225 DOI: 10.1021/acsomega.0c02518] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/22/2020] [Indexed: 05/16/2023]
Abstract
The effect of changes in surface charge on the biological properties of implants is not clear. The objective of this study was to evaluate the biological properties of the surface of titanium sheets with different charges due to different treatment methods. Titanium sheets were sandblasted with large grit and underwent acid etching before being subsequently divided into the following groups: SLA, no further treatment; SLA-Ca2+, immersed in 1% CaCl2 solution; SLA-NaCl, immersed in saline; and SLA-Ca2+-NaCl, immersed in 1% CaCl2 solution followed by saline. Surface characteristics were evaluated using field-emission scanning electron microscopy with energy-dispersive spectrometry, surface profilometry, and contact angle assays. Additionally, we used a ζ-potential analyzer to directly measure the electrostatic charge on the different group surfaces. The effect of changes in the Ti surface on biological processes after different treatments was determined by analyzing fibronectin adsorption, osteoblast-like MG63 cell adhesion and proliferation, and the expression of osteogenesis-related genes. Compared to the SLA surface, the other three groups contained corresponding trace elements because they were soaked in different liquids; the contact angles of the three groups were not significantly different, but they were significantly smaller than that of the SLA group; and there was no change in the surface topography or roughness. Furthermore, the SLA-Ca2+ group had a significantly reduced negative charge compared to that of the other three groups. There were no differences between the SLA-NaCl and SLA-Ca2+-NaCl groups in terms of negative charge, and the SLA group surface carried the most negative charge. Fibronectin adsorption capacity and cytological performance testing further showed that the SLA-Ca2+ group had the most significant change, followed by the SLA-NaCl and SLA-Ca2+-NaCl groups; the SLA group had significantly lower capacity and performance than the other three groups. These results suggest that the surface charge of the titanium sheet changed when immersed in different liquids and that this treatment enhanced biocompatibility by reducing the electrostatic repulsion between biomaterials and biomolecules.
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Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Achkar B, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Akbiyik M, Åkesson TPA, Akilli E, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allen BW, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, An F, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Andrei V, Anelli CR, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Aparisi Pozo JA, Aparo MA, Aperio Bella L, Aranzabal Barrio N, Araujo Ferraz V, Araujo Pereira R, Arcangeletti C, Arce ATH, Arduh FA, Arguin JF, Argyropoulos S, Arling JH, Armbruster AJ, Armstrong A, Arnaez O, Arnold H, Arrubarrena Tame ZP, Artoni G, Asai K, Asai S, Asawatavonvanich T, Asbah N, Asimakopoulou EM, Asquith L, Assahsah J, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Augsten K, Austrup VA, Avolio G, Ayoub MK, Azuelos G, Bachacou H, Bachas K, Backes M, Backman F, Bagnaia P, Bahmani M, Bahrasemani H, Bailey AJ, Bailey VR, Baines JT, Bakalis C, Baker OK, Bakker PJ, Bakos E, Bakshi Gupta D, Balaji S, Baldin EM, Balek P, Balli F, Balunas WK, Balz J, Banas E, Bandieramonte M, Bandyopadhyay A, Banerjee S, Barak L, Barbe WM, Barberio EL, Barberis D, Barbero M, Barbour G, Barillari T, Barisits MS, Barkeloo J, Barklow T, Barnea R, Barnett BM, Barnett RM, Barnovska-Blenessy Z, Baroncelli A, Barone G, Barr AJ, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barron U, Barsov S, Bartels F, Bartoldus R, Bartolini G, Barton AE, Bartos P, Basalaev A, Basan A, Bassalat A, Basso MJ, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Bauce M, Bauer F, Bauer KT, Bauer P, Bawa HS, Bayirli A, Beacham JB, Beau T, Beauchemin PH, Becherer F, Bechtle P, Beck HC, Beck HP, Becker K, Becot C, Beddall A, Beddall AJ, Bednyakov VA, Bedognetti M, Bee CP, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beisiegel F, Belfkir M, Bell AS, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belotskiy K, Belyaev NL, Benchekroun D, Benekos N, Benhammou Y, Benjamin DP, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Berge D, Bergeaas Kuutmann E, Berger N, Bergmann B, Bergsten LJ, Beringer J, Berlendis S, Bernardi G, Bernius C, Bernlochner FU, Berry T, Berta P, Bertella C, Berthold A, Bertram IA, Bessidskaia Bylund O, Besson N, Bethani A, Bethke S, Betti A, Bevan AJ, Beyer J, Bhattacharya DS, Bhattarai P, Bhopatkar VS, Bi R, Bianchi RM, Biebel O, Biedermann D, Bielski R, Bierwagen K, Biesuz NV, Biglietti M, Billoud TRV, Bindi M, Bingul A, Bini C, Biondi S, Birch-Sykes CJ, Birman M, Bisanz T, Biswal JP, Biswas D, Bitadze A, Bittrich C, Bjørke K, Blazek T, Bloch I, Blocker C, Blue A, Blumenschein U, Bobbink GJ, Bobrovnikov VS, Bocchetta SS, Boerner D, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Bolz AE, Bomben M, Bona M, Bonilla JS, Boonekamp M, Booth CD, Borbély AG, Borecka-Bielska HM, Borgna LS, Borisov A, Borissov G, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Boudreau J, Bouhova-Thacker EV, Boumediene D, Boutle SK, Boveia A, Boyd J, Boye D, Boyko IR, Bozson AJ, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Breaden Madden WD, Brendlinger K, Brener R, Brenner L, Brenner R, Bressler S, Brickwedde B, Briglin DL, Britton D, Britzger D, Brock I, Brock R, Brooijmans G, Brooks WK, Brost E, Bruckman de Renstrom PA, Brüers B, Bruncko D, Bruni A, Bruni G, Bruni LS, Bruno S, Bruschi M, Bruscino N, Bryngemark L, Buanes T, Buat Q, Buchholz P, Buckley AG, Budagov IA, Bugge MK, Bührer F, Bulekov O, Bullard BA, Burch TJ, Burdin S, Burgard CD, Burger AM, Burghgrave B, Burr JTP, Burton CD, Burzynski JC, Büscher V, Buschmann E, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Butti P, Buttinger W, Buxo Vazquez CJ, Buzatu A, Buzykaev AR, Cabras G, Cabrera Urbán S, Caforio D, Cai H, Cairo VMM, Cakir O, Calace N, Calafiura P, Calderini G, Calfayan P, Callea G, Caloba LP, Caltabiano A, Calvente Lopez S, Calvet D, Calvet S, Calvet TP, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Camerlingo MT, Cameron D, Camincher C, Campana S, Campanelli M, Camplani A, Canale V, Canesse A, Cano Bret M, Cantero J, Cao T, Cao Y, Capeans Garrido MDM, Capua M, Cardarelli R, Cardillo F, Carducci G, Carli I, Carli T, Carlino G, Carlson BT, Carlson EM, Carminati L, Carney RMD, Caron S, Carquin E, Carrá S, Carratta G, Carter JWS, Carter TM, Casado MP, Casha AF, Castillo FL, Castillo Garcia L, Castillo Gimenez V, Castro NF, Catinaccio A, Catmore JR, Cattai A, Cavaliere V, Cavasinni V, Celebi E, Celli F, Cerny K, Cerqueira AS, Cerri A, Cerrito L, Cerutti F, Cervelli A, Cetin SA, Chadi Z, Chakraborty D, Chan J, Chan WS, Chan WY, Chapman JD, Chargeishvili B, Charlton DG, Charman TP, Chau CC, Che S, Chekanov S, Chekulaev SV, Chelkov GA, Chen B, Chen C, Chen CH, Chen H, Chen J, Chen J, Chen J, Chen S, Chen SJ, Chen X, Chen Y, Chen YH, Cheng HC, Cheng HJ, Cheplakov A, Cheremushkina E, Cherkaoui El Moursli R, Cheu E, Cheung K, Chevalérias TJA, Chevalier L, Chiarella V, Chiarelli G, Chiodini G, Chisholm AS, Chitan A, Chiu I, Chiu YH, Chizhov MV, Choi K, Chomont AR, Chow YS, Christopher LD, Chu MC, Chu X, Chudoba J, Chwastowski JJ, Chytka L, Cieri D, Ciesla KM, Cinca D, Cindro V, Cioară IA, Ciocio A, Cirotto F, Citron ZH, Citterio M, Ciubotaru DA, Ciungu BM, Clark A, Clark MR, Clark PJ, Clawson SE, Clement C, Coadou Y, Cobal M, Coccaro A, Cochran J, Coelho Lopes De Sa R, Cohen H, Coimbra AEC, Cole B, Colijn AP, Collot J, Conde Muiño P, Connell SH, Connelly IA, Constantinescu S, Conventi F, Cooper-Sarkar AM, Cormier F, Cormier KJR, Corpe LD, Corradi M, Corrigan EE, Corriveau F, Costa MJ, Costanza F, Costanzo D, Cowan G, Cowley JW, Crane J, Cranmer K, Creager RA, Crépé-Renaudin S, Crescioli F, Cristinziani M, Croft V, Crosetti G, Cueto A, Cuhadar Donszelmann T, Cui H, Cukierman AR, Cunningham WR, Czekierda S, Czodrowski P, Czurylo MM, Da Cunha Sargedas De Sousa MJ, Da Fonseca Pinto JV, Da Via C, Dabrowski W, Dachs F, Dado T, Dahbi S, Dai T, Dallapiccola C, Dam M, D'amen G, D'Amico V, Damp J, Dandoy JR, Daneri MF, Danninger M, Dao V, Darbo G, Dartsi O, Dattagupta A, Daubney T, D'Auria S, David C, Davidek T, Davis DR, Dawson I, De K, De Asmundis R, De Beurs M, De Castro S, De Groot N, de Jong P, De la Torre H, De Maria A, De Pedis D, De Salvo A, De Sanctis U, De Santis M, De Santo A, De Vivie De Regie JB, Debenedetti C, Dedovich DV, Deiana AM, Del Peso J, Delabat Diaz Y, Delgove D, Deliot F, Delitzsch CM, Della Pietra M, Della Volpe D, Dell'Acqua A, Dell'Asta L, Delmastro M, Delporte C, Delsart PA, DeMarco DA, Demers S, Demichev M, Demontigny G, Denisov SP, D'Eramo L, Derendarz D, Derkaoui JE, Derue F, Dervan P, Desch K, Dette K, Deutsch C, Devesa MR, Deviveiros PO, Di Bello FA, Di Ciaccio A, Di Ciaccio L, Di Clemente WK, Di Donato C, Di Girolamo A, Di Gregorio G, Di Micco B, Di Nardo R, Di Petrillo KF, Di Sipio R, Diaconu C, Dias FA, Dias Do Vale T, Diaz MA, Diaz Capriles FG, Dickinson J, Didenko M, Diehl EB, Dietrich J, Díez Cornell S, Diez Pardos C, Dimitrievska A, Ding W, Dingfelder J, Dittmeier SJ, Dittus F, Djama F, Djobava T, Djuvsland JI, Do Vale MAB, Dobre M, Dodsworth D, Doglioni C, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D'onofrio A, D'Onofrio M, Dopke J, Doria A, Dova MT, Doyle AT, Drechsler E, Dreyer E, Dreyer T, Drobac AS, Du D, du Pree TA, Duan Y, Dubinin F, Dubovsky M, Dubreuil A, Duchovni E, Duckeck G, Ducu OA, Duda D, Dudarev A, Dudder AC, Duffield EM, D'uffizi M, Duflot L, Dührssen M, Dülsen C, Dumancic M, Dumitriu AE, Dunford M, Duperrin A, Duran Yildiz H, Düren M, Durglishvili A, Duschinger D, Dutta B, Duvnjak D, Dyckes GI, Dyndal M, Dysch S, Dziedzic BS, Eggleston MG, Eifert T, Eigen G, Einsweiler K, Ekelof T, El Jarrari H, Ellajosyula V, Ellert M, Ellinghaus F, Elliot AA, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Emerman A, Enari Y, Epland MB, Erdmann J, Ereditato A, Erland PA, Errenst M, Escalier M, Escobar C, Estrada Pastor O, Etzion E, Evans H, Evans MO, Ezhilov A, Fabbri F, Fabbri L, Fabiani V, Facini G, Fakhrutdinov RM, Falciano S, Falke PJ, Falke S, Faltova J, Fang Y, Fang Y, Fanourakis G, Fanti M, Faraj M, Farbin A, Farilla A, Farina EM, Farooque T, Farrington SM, Farthouat P, Fassi F, Fassnacht P, Fassouliotis D, Faucci Giannelli M, Fawcett WJ, Fayard L, Fedin OL, Fedorko W, Fehr A, Feickert M, Feligioni L, Fell A, Feng C, Feng M, Fenton MJ, Fenyuk AB, Ferguson SW, Ferrando J, Ferrante A, Ferrari A, Ferrari P, Ferrari R, Ferreira de Lima DE, Ferrer A, Ferrere D, Ferretti C, Fiedler F, Filipčič A, Filthaut F, Finelli KD, Fiolhais MCN, Fiorini L, Fischer F, Fischer J, Fisher WC, Fitschen T, Fleck I, Fleischmann P, Flick T, Flierl BM, Flores L, Flores Castillo LR, Follega FM, Fomin N, Foo JH, Forcolin GT, Forland BC, Formica A, Förster FA, Forti AC, Fortin E, Foti MG, Fournier D, Fox H, Francavilla P, Francescato S, Franchini M, Franchino S, Francis D, Franco L, Franconi L, Franklin M, Frattari G, Fray AN, Freeman PM, Freund B, Freund WS, Freundlich EM, Frizzell DC, Froidevaux D, Frost JA, Fujimoto M, Fukunaga C, Fullana Torregrosa E, Fusayasu T, Fuster J, Gabrielli A, Gabrielli A, Gadatsch S, Gadow P, Gagliardi G, Gagnon LG, Gallardo GE, Gallas EJ, Gallop BJ, Gamboa Goni R, Gan KK, Ganguly S, Gao J, Gao Y, Gao YS, Garay Walls FM, García C, García Navarro JE, García Pascual JA, Garcia-Argos C, Garcia-Sciveres M, Gardner RW, Garelli N, Gargiulo S, Garner CA, Garonne V, Gasiorowski SJ, Gaspar P, Gaudiello A, Gaudio G, Gavrilenko IL, Gavrilyuk A, Gay C, Gaycken G, Gazis EN, Geanta AA, Gee CM, Gee CNP, Geisen J, Geisen M, Gemme C, Genest MH, Geng C, Gentile S, George S, Geralis T, Gerlach LO, Gessinger-Befurt P, Gessner G, Ghasemi S, Ghasemi Bostanabad M, Ghneimat M, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giangiacomi N, Giannetti P, Giannini A, Giannini G, Gibson SM, Gignac M, Gil DT, Gilbert BJ, Gillberg D, Gilles G, Gingrich DM, Giordani MP, Giraud PF, Giugliarelli G, Giugni D, Giuli F, Gkaitatzis S, Gkialas I, Gkougkousis EL, Gkountoumis P, Gladilin LK, Glasman C, Glatzer J, Glaysher PCF, Glazov A, Gledhill GR, Gnesi I, Goblirsch-Kolb M, Godin D, Goldfarb S, Golling T, Golubkov D, Gomes A, Goncalves Gama R, Gonçalo R, Gonella G, Gonella L, Gongadze A, Gonnella F, Gonski JL, González de la Hoz S, Gonzalez Fernandez S, Gonzalez Lopez R, Gonzalez Renteria C, Gonzalez Suarez R, Gonzalez-Sevilla S, Gonzalvo Rodriguez GR, Goossens L, Gorasia NA, Gorbounov PA, Gordon HA, Gorini B, Gorini E, Gorišek A, Goshaw AT, Gostkin MI, Gottardo CA, Gouighri M, Goussiou AG, Govender N, Goy C, Grabowska-Bold I, Graham EC, Gramling J, Gramstad E, Grancagnolo S, Grandi M, Gratchev V, Gravila PM, Gravili FG, Gray C, Gray HM, Grefe C, Gregersen K, Gregor IM, Grenier P, Grevtsov K, Grieco C, Grieser NA, Grillo AA, Grimm K, Grinstein S, Grivaz JF, Groh S, Gross E, Grosse-Knetter J, Grout ZJ, Grud C, Grummer A, Grundy JC, Guan L, Guan W, Gubbels C, Guenther J, Guerguichon A, Guerrero Rojas JGR, Guescini F, Guest D, Gugel R, Guida A, Guillemin T, Guindon S, Gul U, Guo J, Guo W, Guo Y, Guo Z, Gupta R, Gurbuz S, Gustavino G, Guth M, Gutierrez P, Gutschow C, Guyot C, Gwenlan C, Gwilliam CB, Haaland ES, Haas A, Haber C, Hadavand HK, Hadef A, Haleem M, Haley J, Hall JJ, Halladjian G, Hallewell GD, Hamano K, Hamdaoui H, Hamer M, Hamity GN, Han K, Han L, Han S, Han YF, Hanagaki K, Hance M, Handl DM, Hank MD, Hankache R, Hansen E, Hansen JB, Hansen JD, Hansen MC, Hansen PH, Hanson EC, Hara K, Harenberg T, Harkusha S, Harrison PF, Hartman NM, Hartmann NM, Hasegawa Y, Hasib A, Hassani S, Haug S, Hauser R, Havener LB, Havranek M, Hawkes CM, Hawkings RJ, Hayashida S, Hayden D, Hayes C, Hayes RL, Hays CP, Hays JM, Hayward HS, Haywood SJ, He F, He Y, Heath MP, Hedberg V, Heer S, Heggelund AL, Heidegger C, Heidegger KK, Heidorn WD, Heilman J, Heim S, Heim T, Heinemann B, Heinlein JG, Heinrich JJ, Heinrich L, Hejbal J, Helary L, Held A, Hellesund S, Helling CM, Hellman S, Helsens C, Henderson RCW, Heng Y, Henkelmann L, Henriques Correia AM, Herde H, Hernández Jiménez Y, Herr H, Herrmann MG, Herrmann T, Herten G, Hertenberger R, Hervas L, Herwig TC, Hesketh GG, Hessey NP, Hibi H, Higashida A, Higashino S, Higón-Rodriguez E, Hildebrand K, Hill JC, Hill 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Wang R, Wang SM, Wang WT, Wang W, Wang WX, Wang Y, Wang Z, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Warrack N, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Weber C, Weber MS, Weber SA, Weber SM, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells PS, Wenaus T, Wendland B, Wengler T, Wenig S, Wermes N, Wessels M, Weston TD, Whalen K, Wharton AM, White AS, White A, White MJ, Whiteson D, Whitmore BW, Wiedenmann W, Wiel C, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willocq S, Windischhofer PJ, Wingerter-Seez I, Winkels E, Winklmeier F, Winter BT, Wittgen M, Wobisch M, Wolf A, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xia L, Xiang J, Xiao X, Xie X, Xiotidis I, Xu D, Xu H, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi N, Yamaguchi Y, Yamamoto A, Yamatani M, Yamazaki T, Yamazaki Y, Yan J, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye H, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yin P, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Zaazoua M, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang J, Zhang K, Zhang L, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Dijet Resonance Search with Weak Supervision Using sqrt[s]=13 TeV pp Collisions in the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 125:131801. [PMID: 33034503 DOI: 10.1103/physrevlett.125.131801] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/12/2020] [Accepted: 08/04/2020] [Indexed: 05/11/2023]
Abstract
This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for m_{A}∼O(TeV), m_{B},m_{C}∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 sqrt[s]=13 TeV pp collision dataset of 139 fb^{-1} recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with m_{A}, m_{B}, and m_{C}. For example, when m_{A}=3 TeV and m_{B}≳200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on m_{C}. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.
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Chi Y, Gao M, Zhang Y, Shi F, Cheng Y, Guo Z, Ge M, Qin J, Zhang J, Li Z, Zhou X, Huang R, Chen X, Liu H, Cheng R, Xu Z, Zheng X, Li D, Tang P. LBA88 Anlotinib in locally advanced or metastatic radioiodine-refractory differentiated thyroid carcinoma: A randomized, double-blind, multicenter phase II trial. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.2332] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Guo Z, Chen L, Ning Y, Ding X, Gao Y, Zhou L, Xu S, Zhang Z. Split-crest technique with inlay bone block grafts for narrow posterior mandibles: a retrospective clinical study with a 3-year follow-up. Am J Transl Res 2020; 12:4628-4638. [PMID: 32913536 PMCID: PMC7476144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 07/25/2020] [Indexed: 06/11/2023]
Abstract
The use of the split-crest technique (SCT) and bone block grafts provides benefits to horizontal bone augmentation. However, no information is currently available to evaluate the clinical effects of SCT combined with inlay bone block grafts on soft and hard tissues of the narrow posterior mandibles. In this study, 56 healthy patients underwent SCT to augment the alveolar ridge width. Implant placement was performed 3 months after SCT, and the implants were restored 3 months after placement. A planned follow-up was performed to analyze various clinical features, including X-ray radiographs, alveolar ridge width, and keratinized mucosal width, after SCT to evaluate the success of the procedure. The incisions healed well in all patients. The average initial alveolar ridge width was 2.78 ± 0.56 mm, which increased to 6.67 ± 0.60 mm after SCT. Three months later, this width declined slightly to 6.19 ± 0.48 mm. The average initial keratinized mucosal width was 2.83 ± 0.66 mm, which increased to 6.00 ± 0.71 mm 3 months later. Both at 3 months and 1 year after the procedure, vertical bone loss at the buccal sites was 1.32 ± 0.56 mm and 1.94 ± 0.54 mm, respectively. Survival rates of the implants were 100% after 3 years. SCT with inlay bone block grafts was successfully applied to narrow posterior mandibles with efficient augmentation of soft and hard tissue widths. The findings of this study aim to identify future beneficial applications of SCT.
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Adamson P, An FP, Anghel I, Aurisano A, Balantekin AB, Band HR, Barr G, Bishai M, Blake A, Blyth S, Cao GF, Cao J, Cao SV, Carroll TJ, Castromonte CM, Chang JF, Chang Y, Chen HS, Chen R, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Childress S, Chu MC, Chukanov A, Coelho JAB, Cummings JP, Dash N, De Rijck S, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Gallo JP, Germani S, Gomes RA, Gonchar M, Gong GH, Gong H, Gouffon P, Graf N, Grzelak K, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Habig A, Hackenburg RW, Hahn SR, Hans S, Hartnell J, Hatcher R, He M, Heeger KM, Heng YK, Higuera A, Holin A, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang J, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Koerner LW, Kohn S, Kordosky M, Kramer M, Kreymer A, Lang K, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li S, Li SC, Li SJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu Y, Liu YH, Lu C, Lu HQ, Lu JS, Lucas P, Luk KB, Ma XB, Ma XY, Ma YQ, Mann WA, Marshak ML, Marshall C, Martinez Caicedo DA, Mayer N, McDonald KT, McKeown RD, Mehdiyev R, Meier JR, Meng Y, Miller WH, Mills G, Mora Lepin L, Naples D, Napolitano J, Naumov D, Naumova E, Nelson JK, Nichol RJ, O'Connor J, Ochoa-Ricoux JP, Olshevskiy A, Pahlka RB, Pan HR, Park J, Patton S, Pavlović Ž, Pawloski G, Peng JC, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Pun CSJ, Qi FZ, Qi M, Qian X, Qiu X, Radovic A, Raper N, Ren J, Reveco CM, Rosero R, Roskovec B, Ruan XC, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Shaheed N, Sharma R, Sousa A, Steiner H, Sun JL, Tagg N, Thomas J, Thomson MA, Timmons A, Tmej T, Todd J, Tognini SC, Toner R, Torretta D, Treskov K, Tse WH, Tull CE, Vahle P, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weber A, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Whitehead LH, Wojcicki SG, Wong HLH, Wong SCF, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhou L, Zhuang HL. Improved Constraints on Sterile Neutrino Mixing from Disappearance Searches in the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments. PHYSICAL REVIEW LETTERS 2020; 125:071801. [PMID: 32857527 DOI: 10.1103/physrevlett.125.071801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/13/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Searches for electron antineutrino, muon neutrino, and muon antineutrino disappearance driven by sterile neutrino mixing have been carried out by the Daya Bay and MINOS+ collaborations. This Letter presents the combined results of these searches, along with exclusion results from the Bugey-3 reactor experiment, framed in a minimally extended four-neutrino scenario. Significantly improved constraints on the θ_{μe} mixing angle are derived that constitute the most constraining limits to date over five orders of magnitude in the mass-squared splitting Δm_{41}^{2}, excluding the 90% C.L. sterile-neutrino parameter space allowed by the LSND and MiniBooNE observations at 90% CL_{s} for Δm_{41}^{2}<13 eV^{2}. Furthermore, the LSND and MiniBooNE 99% C.L. allowed regions are excluded at 99% CL_{s} for Δm_{41}^{2}<1.6 eV^{2}.
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Aad G, Abbott B, Abbott D, Abdinov O, Abed Abud A, Abeling K, Abhayasinghe D, Abidi S, AbouZeid O, Abraham N, Abramowicz H, Abreu H, Abulaiti Y, Acharya B, Achkar B, Adachi S, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder A, Afik Y, Agapopoulou C, Agaras M, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra J, Ahmadov F, Ahmed W, Ai X, Aielli G, Akatsuka S, Åkesson T, Akilli E, Akimov A, Al Khoury K, Alberghi G, Albert J, Alconada Verzini M, Alderweireldt S, Aleksa M, Aleksandrov I, Alexa C, Alexandre D, Alexopoulos T, Alfonsi A, Alhroob M, Ali B, Alimonti G, Alison J, Alkire S, Allaire C, Allbrooke B, Allen B, Allport P, Aloisio A, Alonso A, Alonso F, Alpigiani C, Alshehri A, Alvarez Estevez M, Álvarez Piqueras D, Alviggi M, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos S, Amoroso S, Amrouche C, An F, Anastopoulos C, Andari N, Andeen T, Anders C, Anders J, Andreazza A, Andrei V, Anelli C, Angelidakis S, Angerami A, Anisenkov A, Annovi A, Antel C, Anthony M, Antonelli M, Antrim D, Anulli F, Aoki M, Aparisi Pozo J, Aperio Bella L, Arabidze G, Araque J, Araujo Ferraz V, Haddad N, Hadef A, Hageböck S, Hagihara M, Haleem M, Haley J, Halladjian G, Hallewell G, Hamacher K, Hamal P, Araujo Pereira R, Hamano K, Hamdaoui H, Hamity G, Han K, Han L, Han S, Hanagaki K, Hance M, Handl D, Haney B, Arcangeletti C, Hankache R, Hansen E, Hansen J, Hansen J, Hansen M, Hansen P, Hanson E, Hara K, Hard A, Harenberg T, Arce A, Harkusha S, Harrison P, Hartmann N, Hasegawa Y, Hasib A, Hassani S, Haug S, Hauser R, Havener L, Havranek M, Arduh F, Hawkes C, Hawkings R, Hayden D, Hayes C, Hayes R, Hays C, Hays J, Hayward H, Haywood S, He F, Arguin JF, Heath M, Hedberg V, Heelan L, Heer S, Heidegger K, Heidorn W, Heilman J, Heim S, Heim T, Heinemann B, Argyropoulos S, Heinrich J, Heinrich L, Heinz C, Hejbal J, Helary L, Held A, Hellesund S, Helling C, Hellman S, Helsens C, Arling JH, Henderson R, Heng Y, Henkelmann S, Henriques Correia A, Herbert G, Herde H, Herget V, Hernández Jiménez Y, Herr H, Herrmann M, Armbruster A, Herrmann T, Herten G, Hertenberger R, Hervas L, Herwig T, Hesketh G, Hessey N, Higashida A, Higashino S, Higón-Rodriguez E, Armitage L, Hildebrand K, Hill E, Hill J, Hill K, Hiller K, Hillier S, Hils M, Hinchliffe I, Hinterkeuser F, Hirose M, Armstrong A, Hirose S, Hirschbuehl D, Hiti B, Hladik O, Hlaluku D, Hoad X, Hobbs J, Hod N, Hodgkinson M, Hoecker A, Arnaez O, Hoenig F, Hohn D, Hohov D, Holmes T, Holzbock M, Hommels L, Honda S, Honda T, Hong T, Hönle A, Arnold H, Hooberman B, Hopkins W, Horii Y, Horn P, Horyn L, Hostiuc A, Hou S, Hoummada A, Howarth J, Hoya J, Artamonov A, Hrabovsky M, Hrdinka J, Hristova I, Hrivnac J, Hrynevich A, Hryn’ova T, Hsu P, Hsu SC, Hu Q, Hu S, Artoni G, Huang Y, Hubacek Z, Hubaut F, Huebner M, Huegging F, Huffman T, Huhtinen M, Hunter R, Huo P, Hupe A, Artz S, Huseynov N, Huston J, Huth J, Hyneman R, Hyrych S, Iacobucci G, Iakovidis G, Ibragimov I, Iconomidou-Fayard L, Idrissi Z, Asai S, Iengo P, Ignazzi R, Igonkina O, Iguchi R, Iizawa T, Ikegami Y, Ikeno M, Iliadis D, Ilic N, Iltzsche F, Asbah N, Introzzi G, Iodice M, Iordanidou K, Ippolito V, Isacson M, Ishino M, Ishitsuka M, Islam W, Issever C, Istin S, Asimakopoulou E, Ito F, Iturbe Ponce J, Iuppa R, Ivina A, Iwasaki H, Izen J, Izzo V, Jacka P, Jackson P, Jacobs R, Asquith L, Jaeger B, Jain V, Jäkel G, Jakobi K, Jakobs K, Jakobsen S, Jakoubek T, Jamieson J, Janas K, Jansky R, Assamagan K, Janssen J, Janus M, Janus P, Jarlskog G, Javadov N, Javůrek T, Javurkova M, Jeanneau F, Jeanty L, Jejelava J, Astalos R, Jelinskas A, Jenni P, Jeong J, Jeong N, Jézéquel S, Ji H, Jia J, Jiang H, Jiang Y, Jiang Z, Atkin R, Jiggins S, Jimenez Morales F, Jimenez Pena J, Jin S, Jinaru A, Jinnouchi O, Jivan H, Johansson P, Johns K, Johnson C, Atkinson M, Jon-And K, Jones R, Jones S, Jones S, Jones T, Jongmanns J, Jorge P, Jovicevic J, Ju X, Junggeburth J, Atlay N, Juste Rozas A, Kaczmarska A, Kado M, Kagan H, Kagan M, Kahra C, Kaji T, Kajomovitz E, Kalderon C, Kaluza A, Atmani H, Kamenshchikov A, Kanjir L, Kano Y, Kantserov V, Kanzaki J, Kaplan L, Kar D, Kareem M, Karentzos E, Karpov S, Augsten K, Karpova Z, Kartvelishvili V, Karyukhin A, Kashif L, Kass R, Kastanas A, Kataoka Y, Kato C, Katzy J, Kawade K, Avolio G, Kawagoe K, Kawaguchi T, Kawamoto T, Kawamura G, Kay E, Kazanin V, Keeler R, Kehoe R, Keller J, Kellermann E, Avramidou R, Kelsey D, Kempster J, Kendrick J, Kepka O, Kersten S, Kerševan B, Ketabchi Haghighat S, Khader M, Khalil-Zada F, Khandoga M, Ayoub M, Khanov A, Kharlamov A, Kharlamova T, Khoda E, Khodinov A, Khoo T, Khramov E, Khubua J, Kido S, Kiehn M, Azoulay A, Kilby C, Kim Y, Kimura N, Kind O, King B, Kirchmeier D, Kirk J, Kiryunin A, Kishimoto T, Kisliuk D, Azuelos G, Kitali V, Kivernyk O, Kladiva E, Klapdor-Kleingrothaus T, Klassen M, Klein M, Klein M, Klein U, Kleinknecht K, Klimek P, Baca M, Klimentov A, Klingl T, Klioutchnikova T, Klitzner F, Kluit P, Kluth S, Kneringer E, Knoops E, Knue A, Kobayashi D, Bachacou H, Kobayashi T, Kobel M, Kocian M, Kodys P, Koenig P, Koffas T, Köhler N, Koi T, Kolb M, Koletsou I, Bachas K, Komarek T, Kondo T, Kondrashova N, Köneke K, König A, Kono T, Konoplich R, Konstantinides V, Konstantinidis N, Konya B, Backes M, Kopeliansky R, Koperny S, Korcyl K, Kordas K, Koren G, Korn A, Korolkov I, Korolkova E, Korotkova N, Kortner O, Backman F, Kortner S, Kosek T, Kostyukhin V, Kotwal A, Koulouris A, Kourkoumeli-Charalampidi A, Kourkoumelis C, Kourlitis E, Kouskoura V, Kowalewska A, Bagnaia P, Kowalewski R, Kozakai C, Kozanecki W, Kozhin A, Kramarenko V, Kramberger G, Krasnopevtsev D, Krasny M, Krasznahorkay A, Krauss D, Bahmani M, Kremer J, Kretzschmar J, Krieger P, Krieter F, Krishnan A, Krizka K, Kroeninger K, Kroha H, Kroll J, Kroll J, Bahrasemani H, Krstic J, Kruchonak U, Krüger H, Krumnack N, Kruse M, Krzysiak J, Kubota T, Kuchinskaia O, Kuday S, Kuechler J, Bailey A, Kuehn S, Kugel A, Kuhl T, Kukhtin V, Kukla R, Kulchitsky Y, Kuleshov S, Kulinich Y, Kuna M, Kunigo T, Bailey V, Kupco A, Kupfer T, Kuprash O, Kurashige H, Kurchaninov L, Kurochkin Y, Kurova A, Kurth M, Kuwertz E, Kuze M, Baines J, Kvam A, Kvita J, Kwan T, La Rosa A, La Rotonda L, La Ruffa F, Lacasta C, Lacava F, Lack D, Lacker H, Bajic M, Lacour D, Ladygin E, Lafaye R, Laforge B, Lagouri T, Lai S, Lammers S, Lampl W, Lampoudis C, Lançon E, Bakalis C, Landgraf U, Landon M, Lanfermann M, Lang V, Lange J, Langenberg R, Lankford A, Lanni F, Lantzsch K, Lanza A, Baker O, Lapertosa A, Laplace S, Laporte J, Lari T, Lasagni Manghi F, Lassnig M, Lau T, Laudrain A, Laurier A, Lavorgna M, Bakker P, Lazzaroni M, Le B, Le Guirriec E, LeBlanc M, LeCompte T, Ledroit-Guillon F, Lee C, Lee G, Lee L, Lee S, Bakshi Gupta D, Lee S, Lefebvre B, Lefebvre M, Legger F, Leggett C, Lehmann K, Lehmann N, Lehmann Miotto G, Leight W, Leisos A, Balaji S, Leite M, Leitgeb C, Leitner R, Lellouch D, Leney K, Lenz T, Lenzi B, 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Y, Chizhov M, Choi K, Chomont A, Chouridou S, Chow Y, Chu M, Chu X, Chudoba J, Chuinard A, Chwastowski J, Chytka L, Ciesla K, Cinca D, Cindro V, Cioară I, Ciocio A, Cirotto F, Citron Z, Citterio M, Ciubotaru D, Ciungu B, Clark A, Clark M, Clark P, Clement C, Coadou Y, Cobal M, Coccaro A, Cochran J, Cohen H, Coimbra A, Colasurdo L, Cole B, Colijn A, Collot J, Conde Muiño P, Coniavitis E, Connell S, Connelly I, Constantinescu S, Conventi F, Cooper-Sarkar A, Cormier F, Cormier K, Corpe L, Corradi M, Corrigan E, Corriveau F, Costa M, Costanza F, Costanzo D, Cowan G, Cowley J, Crane J, Cranmer K, Crawley S, Creager R, Crépé-Renaudin S, Crescioli F, Cristinziani M, Croft V, Crosetti G, Cueto A, Cuhadar Donszelmann T, Cukierman A, Czekierda S, Czodrowski P, Da Cunha Sargedas De Sousa M, Da Fonseca Pinto J, Da Via C, Dabrowski W, Dado T, Dahbi S, Dai T, Dallapiccola C, Dam M, D’amen G, D’Amico V, Damp J, Dandoy J, Daneri M, Dang N, Dann N, Danninger M, Dao V, Darbo G, Dartsi O, Dattagupta A, 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J, Dittus F, Djama F, Djobava T, Djuvsland J, Do Vale M, Dobre M, Dodsworth D, Doglioni C, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D’onofrio A, D’Onofrio M, Dopke J, Doria A, Dova M, Doyle A, Drechsler E, Dreyer E, Dreyer T, Drobac A, Duan Y, Dubinin F, Dubovsky M, Dubreuil A, Duchovni E, Duckeck G, Ducourthial A, Ducu O, Duda D, Dudarev A, Dudder A, Duffield E, Duflot L, Dührssen M, Dülsen C, Dumancic M, Dumitriu A, Duncan A, Dunford M, Duperrin A, Duran Yildiz H, Düren M, Durglishvili A, Duschinger D, Dutta B, Duvnjak D, Dyckes G, Dyndal M, Dysch S, Dziedzic B, Ecker K, Edgar R, Eifert T, Eigen G, Einsweiler K, Ekelof T, El Jarrari H, El Kacimi M, El Kosseifi R, Ellajosyula V, Ellert M, Ellinghaus F, Elliot A, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Emerman A, Enari Y, Epland M, Erdmann J, Ereditato A, Errenst M, Escalier M, Escobar C, Estrada Pastor O, Etzion E, Evans H, Ezhilov A, Fabbri F, Fabbri L, Fabiani V, Facini G, Faisca Rodrigues Pereira R, Fakhrutdinov 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Gabrielli A, Gach G, Gadatsch S, Gadow P, Gagliardi G, Gagnon L, Galea C, Galhardo B, Gallardo G, Gallas E, Gallop B, Galster G, Gamboa Goni R, Gan K, Ganguly S, Gao J, Gao Y, Gao Y, García C, García Navarro J, García Pascual J, Garcia-Argos C, Garcia-Sciveres M, Gardner R, Garelli N, Gargiulo S, Garonne V, Gaudiello A, Gaudio G, Gavrilenko I, Gavrilyuk A, Gay C, Gaycken G, Gazis E, Geanta A, Gee C, Geisen J, Geisen M, Geisler M, Gemme C, Genest M, Geng C, Gentile S, George S, Geralis T, Gerlach L, Gessinger-Befurt P, Gessner G, Ghasemi S, Ghasemi Bostanabad M, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giangiacomi N, Giannetti P, Giannini A, Gibson S, Gignac M, Gillberg D, Gilles G, Gingrich D, Giordani M, Giorgi F, Giraud P, Giugliarelli G, Giugni D, Giuli F, Gkaitatzis S, Gkialas I, Gkougkousis E, Gkountoumis P, Gladilin L, Glasman C, Glatzer J, Glaysher P, Glazov A, Goblirsch-Kolb M, Goldfarb S, Golling T, Golubkov D, Gomes A, Goncalves Gama R, Gonçalo R, Gonella G, Gonella L, Gongadze A, Gonnella F, Gonski J, González de la Hoz S, Gonzalez-Sevilla S, Gonzalvo Rodriguez G, Goossens L, Gorbounov P, Gordon H, Gorini B, Gorini E, Gorišek A, Goshaw A, Gostkin M, Gottardo C, Gouighri M, Goujdami D, Goussiou A, Govender N, Goy C, Gozani E, Grabowska-Bold I, Graham E, Gramling J, Gramstad E, Grancagnolo S, Grandi M, Gratchev V, Gravila P, Gravili F, Gray C, Gray H, Grefe C, Gregersen K, Gregor I, Grenier P, Grevtsov K, Grieco C, Grieser N, Griffiths J, Grillo A, Grimm K, Grinstein S, Grivaz JF, Groh S, Gross E, Grosse-Knetter J, Grout Z, Grud C, Grummer A, Guan L, Guan W, Guenther J, Guerguichon A, Guerrero Rojas J, Guescini F, Guest D, Gugel R, Guillemin T, Guindon S, Gul U, Guo J, Guo W, Guo Y, Guo Z, Gupta R, Gurbuz S, Gustavino G, Gutierrez P, Gutschow C, Guyot C, Gwenlan C, Gwilliam C, Haas A, Haber C, Hadavand H. Search for heavy neutral Higgs bosons produced in association with
b
-quarks and decaying into
b
-quarks at
s=13 TeV
with the ATLAS detector. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.102.032004] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Achkar B, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Akbiyik M, Åkesson TPA, Akilli E, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allen BW, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, An F, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Andrei V, Anelli CR, 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CP Properties of Higgs Boson Interactions with Top Quarks in the tt[over ¯]H and tH Processes Using H→γγ with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 125:061802. [PMID: 32845699 DOI: 10.1103/physrevlett.125.061802] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
A study of the charge conjugation and parity (CP) properties of the interaction between the Higgs boson and top quarks is presented. Higgs bosons are identified via the diphoton decay channel (H→γγ), and their production in association with a top quark pair (tt[over ¯]H) or single top quark (tH) is studied. The analysis uses 139 fb^{-1} of proton-proton collision data recorded at a center-of-mass energy of sqrt[s]=13 TeV with the ATLAS detector at the Large Hadron Collider. Assuming a CP-even coupling, the tt[over ¯]H process is observed with a significance of 5.2 standard deviations. The measured cross section times H→γγ branching ratio is 1.64_{-0.36}^{+0.38}(stat)_{-0.14}^{+0.17}(sys) fb, and the measured rate for tt[over ¯]H is 1.43_{-0.31}^{+0.33}(stat)_{-0.15}^{+0.21}(sys) times the Standard Model expectation. The tH production process is not observed and an upper limit on its rate of 12 times the Standard Model expectation is set. A CP-mixing angle greater (less) than 43 (-43)° is excluded at 95% confidence level.
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Lyu XD, Guo Z, Li YW, Hu JY, Fan RH, Song YP. [Clonal heterogeneity and its prognostic significance in acute lymphoblastic leukemia]. ZHONGHUA NEI KE ZA ZHI 2020; 59:629-633. [PMID: 34865381 DOI: 10.3760/cma.j.cn112138-20190924-00652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the characteristics and clinical significance of clonal heterogeneity in patients with acute lymphoblastic leukemia(ALL). Methods: From January 2016 to June 2019, 170 newly diagnosed ALL patients were enrolled in the Department of Hematology, Henan Cancer Hospital, including 93 males and 77 females, with a median age of 17 (2-80) years. Fifty-two ALL-related genes were detected by high-throughput sequencing technique. The clonal heterogeneity of mutations was analyzed according to the variant allele frequency (VAF) and the results of flow cytometry. The prognostic value of mutations was also evaluated. Results: Gene mutations were detected in 121 (71.2%, 121/170) patients, of which 2 or more clones were detected in 18 (52.9%, 18/34) T-cell acute lymphoblastic leukemia patients, while only 23 (16.9%, 23/136) B-cell acute lymphoblastic leukemia patients were positive of multiple mutations (P<0.01).Gene mutation-related clonal heterogeneity analysis showed that 2 or more clones were frequent in patients with NOTCH1 mutations (13/19 patients) (P<0.01). Event free survival (EFS) in patients with 3 or more clones was significantly lower than other patients (χ(2)=10.330, P=0.016). Child ALL patients had similar result, that multiple clones predicted lower overall survival (OS) and EFS (OS: χ(2)=7.974, P=0.047; EFS: χ(2)=10.860, P=0.013). Conclusion: Clonal heterogeneity in ALL patients is closely related to the different origin of lymphocyte lineages and the age of onset, which may reveal the nature of the disease and predict the clinical outcome.
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Pastore F, Pasuwan P, Pataraia S, Pater JR, Pathak A, Patton J, Pauly T, Pearkes J, Pearson B, Pedersen M, Pedraza Diaz L, Pedro R, Peiffer T, Peleganchuk SV, Penc O, Peng H, Peralva BS, Perego MM, Pereira Peixoto AP, Pereira Sanchez L, Perepelitsa DV, Peri F, Perini L, Pernegger H, Perrella S, Perrevoort A, Peters K, Peters RFY, Petersen BA, Petersen TC, Petit E, Petridis A, Petridou C, Petroff P, Petrucci F, Pettee M, Pettersson NE, Petukhova K, Peyaud A, Pezoa R, Pezzotti L, Pham T, Phillips FH, Phillips PW, Phipps MW, Piacquadio G, Pianori E, Picazio A, Pickles RH, Piegaia R, Pietreanu D, Pilcher JE, Pilkington AD, Pinamonti M, Pinfold JL, Pitman Donaldson C, Pitt M, Pizzimento L, Pleier MA, Pleskot V, Plotnikova E, Podberezko P, Poettgen R, Poggi R, Poggioli L, Pogrebnyak I, Pohl D, Pokharel I, Polesello G, Poley A, Policicchio A, Polifka R, Polini A, Pollard CS, Polychronakos V, Ponomarenko D, Pontecorvo L, Popa S, Popeneciu GA, Portales L, Portillo Quintero DM, Pospisil S, Potamianos K, Potrap IN, Potter CJ, Potti H, Poulsen T, Poveda J, Powell TD, Pownall G, Pozo Astigarraga ME, Pralavorio P, Prell S, Price D, Primavera M, Prince S, Proffitt ML, Proklova N, Prokofiev K, Prokoshin F, Protopopescu S, Proudfoot J, Przybycien M, Pudzha D, Puri A, Puzo P, Qian J, Qin Y, Quadt A, Queitsch-Maitland M, Qureshi A, Racko M, Ragusa F, Rahal G, Raine JA, Rajagopalan S, Ramirez Morales A, Ran K, Rashid T, Rauch DM, Rauscher F, Rave S, Ravina B, Ravinovich I, Rawling JH, Raymond M, Read AL, Readioff NP, Reale M, Rebuzzi DM, Redlinger G, Reeves K, Rehnisch L, Reichert J, Reikher D, Reiss A, Rej A, Rembser C, Renardi A, Renda M, Rescigno M, Resconi S, Resseguie ED, Rettie S, Reynolds B, Reynolds E, Rezanova OL, Reznicek P, Ricci E, Richter R, Richter S, Richter-Was E, Ricken O, Ridel M, Rieck P, Rifki O, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Ripellino G, Riu I, Rivadeneira P, Rivera Vergara JC, Rizatdinova F, Rizvi E, Rizzi C, Roberts RT, Robertson SH, Robin M, Robinson D, Robles Gajardo CM, Robles Manzano M, Robson A, Rocchi A, Rocco E, Roda C, Rodriguez Bosca S, Rodriguez Rodriguez D, Rodríguez Vera AM, Roe S, Røhne O, Röhrig R, Rojas RA, Roland B, Roland CPA, Roloff J, Romaniouk A, Romano M, Rompotis N, Ronzani M, Roos L, Rosati S, Rosin G, Rosser BJ, Rossi E, Rossi E, Rossi E, Rossi LP, Rossini L, Rosten R, Rotaru M, Rottler B, Rousseau D, Rovelli G, Roy A, Roy D, Rozanov A, Rozen Y, Ruan X, Rühr F, Ruiz-Martinez A, Rummler A, Rurikova Z, Rusakovich NA, Russell HL, Rustige L, Rutherfoord JP, Rüttinger EM, Rybar M, Rybkin G, Rye EB, Ryzhov A, Sabater Iglesias JA, Sabatini P, Sacerdoti S, Sadrozinski HFW, Sadykov R, Safai Tehrani F, Safarzadeh Samani B, Safdari M, Saha P, Saha S, Sahinsoy M, Sahu A, Saimpert M, Saito M, Saito T, Sakamoto H, Salamani D, Salamanna G, Salazar Loyola JE, Salnikov A, Salt J, Salvador Salas A, Salvatore D, Salvatore F, Salvucci A, Salzburger A, Samarati J, Sammel D, Sampsonidis D, Sampsonidou D, Sánchez J, Sanchez Pineda A, Sandaker H, Sander CO, Sanderswood IG, Sandhoff M, Sandoval C, Sankey DPC, Sannino M, Sano Y, Sansoni A, Santoni C, Santos H, Santpur SN, Santra A, Sapronov A, Saraiva JG, Sasaki O, Sato K, Sauerburger F, Sauvan E, Savard P, Sawada R, Sawyer C, Sawyer L, Sbarra C, Sbrizzi A, Scanlon T, Schaarschmidt J, Schacht P, Schachtner BM, Schaefer D, Schaefer L, Schaeffer J, Schaepe S, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Schanet E, Scharmberg N, Schegelsky VA, Scheirich D, Schenck F, Schernau M, Schiavi C, Schildgen LK, Schillaci ZM, Schioppa EJ, Schioppa M, Schleicher KE, Schlenker S, Schmidt-Sommerfeld KR, Schmieden K, Schmitt C, Schmitt S, Schmitz S, Schmoeckel JC, Schoeffel L, Schoening A, Scholer PG, Schopf E, Schott M, Schouwenberg JFP, Schovancova J, Schramm S, Schroeder F, Schulte A, Schultz-Coulon HC, Schumacher M, Schumm BA, Schune P, Schwartzman A, Schwarz TA, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scodeggio M, Scornajenghi M, Scuri F, Scutti F, Scyboz LM, Sebastiani CD, Seema P, Seidel SC, Seiden A, Seidlitz BD, Seiss T, Seitz C, Seixas JM, Sekhniaidze G, Sekula SJ, Semprini-Cesari N, Sen S, Serfon C, Serin L, Serkin L, Sessa M, Severini H, Sevova S, Sforza F, Sfyrla A, Shabalina E, Shahinian JD, Shaikh NW, Shaked Renous D, Shan LY, Shapiro M, Sharma A, Sharma AS, Shatalov PB, Shaw K, Shaw SM, Shehade M, Shen Y, Sherman AD, Sherwood P, Shi L, Shimizu S, Shimmin CO, Shimogama Y, Shimojima M, Shipsey IPJ, Shirabe S, Shiyakova M, Shlomi J, Shmeleva A, Shochet MJ, Shojaii J, Shope DR, Shrestha S, Shrif EM, Shulga E, Sicho P, Sickles AM, Sideras Haddad E, Sidiropoulou O, Sidoti A, Siegert F, Sijacki D, Silva M, Silva Oliveira MV, Silverstein SB, Simion S, Simoniello R, Simpson-Allsop CJ, Simsek S, Sinervo P, Sinetckii V, Singh S, Sioli M, Siral I, Sivoklokov SY, Sjölin J, Skaf A, Skorda E, Skubic P, Slawinska M, Sliwa K, Slovak R, Smakhtin V, Smart BH, Smiesko J, Smirnov N, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith JW, Smizanska M, Smolek K, Smykiewicz A, Snesarev AA, Snoek HL, Snyder IM, Snyder S, Sobie R, Soffer A, Søgaard A, Sohns F, Solans Sanchez CA, Soldatov EY, Soldevila U, Solodkov AA, Soloshenko A, Solovyanov OV, Solovyev V, Sommer P, Son H, Song W, Song WY, Sopczak A, Sopio AL, Sopkova F, Sotiropoulou CL, Sottocornola S, Soualah R, Soukharev AM, South D, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spieker TM, Spigo G, Spina M, Spiteri DP, Spousta M, Stabile A, Stamas BL, Stamen R, Stamenkovic M, Stanecka E, Stanislaus B, Stanitzki MM, Stankaityte M, Stapf B, Starchenko EA, Stark GH, Stark J, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Stegler M, Steinberg P, Steinhebel AL, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stockton MC, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Su W, Suchek S, Sulin VV, Sullivan MJ, Sultan DMS, Sultansoy S, Sumida T, Sun S, Sun X, Suruliz K, Suster CJE, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Swift SP, Swirski T, Sydorenko A, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taenzer J, Taffard A, Tafirout R, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tam KC, Tamir NM, Tanaka J, Tanaka R, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AJ, Taylor GN, Taylor W, Teagle H, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Ten Kate H, Teoh JJ, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thais SJ, Themistokleous N, Theveneaux-Pelzer T, Thiele F, Thomas DW, Thomas JO, Thomas JP, Thompson EA, Thompson PD, Thomson E, Thorpe EJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todome K, Todorova-Nova S, Todt S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tombs R, Tomiwa KG, Tomoto M, Tompkins L, Tornambe P, Torrence E, Torres H, Torró Pastor E, Tosciri C, Toth J, Tovey DR, Traeet A, Treado CJ, Trefzger T, Tresoldi F, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tseng JCL, Tsiareshka PV, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tulbure TT, Tuna AN, Turchikhin S, Turgeman D, Turk Cakir I, Turner RJ, Turra R, Tuts PM, Tzamarias S, Tzovara E, Ucchielli G, Uchida K, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Uno K, Urban J, Urquijo P, Usai G, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vaidya A, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Valéry L, Vallance RA, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vaniachine A, Vannicola D, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vasquez GA, Vazeille F, Vazquez Furelos D, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veloce LM, Veloso F, Veneziano S, Ventura A, Venturi N, Verbytskyi A, Vercesi V, Verducci M, Vergel Infante CM, Vergis C, Verkerke W, Vermeulen AT, Vermeulen JC, Vernieri C, Vetterli MC, Viaux Maira N, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Villhauer EM, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vogel M, Vokac P, von Buddenbrock SE, Von Toerne E, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Wada S, Wagner P, Wagner W, Wagner-Kuhr J, Wahdan S, Wahlberg H, Wakasa R, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wallangen V, Wang AM, Wang AZ, Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang P, Wang Q, Wang RJ, Wang R, Wang R, Wang SM, Wang WT, Wang W, Wang WX, Wang Y, Wang Z, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Warrack N, Washbrook A, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Weber C, Weber MS, Weber SA, Weber SM, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner MD, Wessels M, Weston TD, Whalen K, Whallon NL, Wharton AM, White AS, White A, White MJ, Whiteson D, Whitmore BW, Wiedenmann W, Wiel C, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willis C, Willocq S, Windischhofer PJ, Wingerter-Seez I, Winkels E, Winklmeier F, Winter BT, Wittgen M, Wobisch M, Wolf A, Wolf TMH, Wolff R, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xiao X, Xie X, Xiotidis I, Xu D, Xu H, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi N, Yamaguchi Y, Yamamoto A, Yamatani M, Yamazaki T, Yamazaki Y, Yan J, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye H, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yin P, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Zaazoua M, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang J, Zhang K, Zhang L, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Search for Heavy Higgs Bosons Decaying into Two Tau Leptons with the ATLAS Detector Using pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2020; 125:051801. [PMID: 32794886 DOI: 10.1103/physrevlett.125.051801] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
A search for heavy neutral Higgs bosons is performed using the LHC Run 2 data, corresponding to an integrated luminosity of 139 fb^{-1} of proton-proton collisions at sqrt[s]=13 TeV recorded with the ATLAS detector. The search for heavy resonances is performed over the mass range 0.2-2.5 TeV for the τ^{+}τ^{-} decay with at least one τ-lepton decaying into final states with hadrons. The data are in good agreement with the background prediction of the standard model. In the M_{h}^{125} scenario of the minimal supersymmetric standard model, values of tanβ>8 and tanβ>21 are excluded at the 95% confidence level for neutral Higgs boson masses of 1.0 and 1.5 TeV, respectively, where tanβ is the ratio of the vacuum expectation values of the two Higgs doublets.
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Wang P, Guo Z, Zhao DM, Xu HF, Jia MM, Ren LY, Chen PP, Sun XY, Li MJ, Sun XB, Qiao YL, Zhang SK. [Performance of high-risk HPV typing test in early diagnosis of cervical cancer]. ZHONGHUA YI XUE ZA ZHI 2020; 100:1396-1400. [PMID: 32392990 DOI: 10.3760/cma.j.cn112137-20191024-02313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the performance of High-risk HPV typing detection in cervical cancer screening. Methods: A total of 3 231 women were recruited as the subjects of cervical cancer screening from Jiyuan city of Henan provinces from June to July 2017. All women underwent HPV DNA test. The women with cytological examination ≥ASCUS or cytological examination negative and HPV 16/18 positive underwent colposcopy biopsy and pathological examination. Pathological diagnosis was used as the gold standard. Sensitivity, specificity, positive predictive value (PPV), negative predictive value(NPV) as well as corresponding 95% confidence interval (CI) of HR-HPV and HPV 16/18 were calculated. Results: The mean age of 3 231 subjects selected in this study was 46.84±10.00 (21-64) years old. 524 subjects had the positive results of HR-HPV, including 91 of HPV16 and 15 of HPV18. Pathological test result CIN2+ was the gold standard. The sensitivity and specificity of HR-HPV for cervical precancer lesions screening were 93.75 (95%CI: 79.85-98.27) and 84.56% (95%CI: 83.26-85.77), respectively. To compared with HR-HPV, HPV16/18 had low sensitivity (65.63%, 95%CI: 48.31-79.59)and higher specificity (97.44%, 95%CI: 96.83-97.93). After age stratification by age 30 and 45, the sensitivity of HPV 16/18 was same with HR-HPV (100%, 95%CI: 34.24-100.00), the specificity of HPV 16/18 was higher than HR-HPV (98.71%, 95%CI: 96.27-99.56 vs 84.48%, 95%CI: 79.27-88.58) in<30 age group.The sensitivity of HR-HPVin 30-45 and ≥45 age group were higher than HPV16/18 (85.71%, 95%CI: 48.69-97.43 vs 71.43%, 95%CI: 35.89-91.78, 95.65%, 95%CI: 79.01-99.23 vs 60.87%, 95%CI: 40.79-77.84), but the specificity werelower than HPV16/18 (86.89%, 95%CI: 84.58-88.90 vs 98.51%, 95%CI: 97.51-99.11、83.49%, 95%CI: 81.81-85.04 vs 96.80%, 95%CI: 95.94-97.48). Conclusions: HR-HPV detection has relatively high sensitivity and specificity in cervical cancer screening. For >30 years old women, HR-HPV is more recommended in cervical cancer screening. Therefore, HR-HPV detection is an effective method for cervical cancer screening.
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Wang WP, Jiang C, Dong H, Lu XM, Li JF, Xu RJ, Sun YJ, Yu LH, Guo Z, Liang XY, Leng YX, Li RX, Xu ZZ. Hollow Plasma Acceleration Driven by a Relativistic Reflected Hollow Laser. PHYSICAL REVIEW LETTERS 2020; 125:034801. [PMID: 32745390 DOI: 10.1103/physrevlett.125.034801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 06/21/2020] [Accepted: 06/30/2020] [Indexed: 06/11/2023]
Abstract
In order to address the present difficulty in experimentally generating the relativistic Laguerre-Gaussian laser, primarily due to damage caused to optical modulators, a high-reflectivity phase mirror is applied in the femtosecond petawatt laser system to generate a relativistic hollow laser at the highest intensity of 6.3×10^{19} W/cm^{2} for the first time. A simple optical model is used to verify that the vortex laser may be generated in this new scheme; using such a relativistic vortex laser, the hollow plasma drill and acceleration are achieved experimentally and proven by particle-in-cell simulations. With the development of the petawatt laser, this scheme opens up possibilities for the convenient production of the relativistic hollow laser at high repetition and possible hollow plasma acceleration, which is important for a wide range of applications such as the generation of radiation sources with orbital angular momentum, fast ignition for inertial confinement fusion, and jet research in the astrophysical environment.
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Chen X, Yuan L, Xu H, Hu P, Yang Y, Guo Y, Guo Z, Deng H. Novel GLI3 Mutations in Chinese Patients with Non-syndromic Post-axial Polydactyly. Curr Mol Med 2020; 19:228-235. [PMID: 30848202 DOI: 10.2174/1566524019666190308110122] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 02/28/2019] [Accepted: 03/01/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Polydactyly, characterized by supernumerary digits in the upper or lower extremities, is the most common congenital digital abnormalities. It derives from the defective patterning of anteroposterior axis of the developing limb, with various etiology and clinical heterogeneity. The patients with post-axial polydactyly type A (PAPA) have the typical symptom of a well-formed supernumerary digit outside the fifth digit. OBJECTIVE The aim of present study was to identify the causative mutations of two unrelated Han Chinese patients with non-syndromic PAPA. METHODS Two unrelated Han Chinese patients and 100 ethnicity-matched, unrelated normal controls were recruited for this study. BGISEQ-500 exome sequencing was performed in the two patients, followed by validation in the patients and 100 controls by using Sanger sequencing. RESULTS Two mutations in the GLI family zinc finger 3 gene (GLI3), including a frameshift mutation c.3437_3453delTCGAGCAGCCCTGCCCC (p.L1146RfsX95) and a nonsense mutation c.3997C>T (p.Q1333X), were identified in two patients but were absent in the 100 healthy controls. CONCLUSION The two GLI3 mutations, p.L1146RfsX95 and p.Q1333X, may account for non-syndromic PAPA in the two patients, respectively. The findings of this study may expand the mutational spectrum of GLI3-PAPA and provide novel insights into the genetic basis of polydactyly.
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Pan H, Li S, Li M, Tao Q, Jia J, Li W, Wang L, Guo Z, Ma K, Liu Y, Cui C. Anti-CD19 mAb-conjugated human serum albumin nanoparticles effectively deliver doxorubicin to B-lymphoblastic leukemia cells. DIE PHARMAZIE 2020; 75:318-323. [PMID: 32635973 DOI: 10.1691/ph.2020.0026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/29/2022]
Abstract
B-Lymphoblastic leukemia (B-LL) is the most common childhood hematological malignancy. Although its overall prognosis is good, the outcome after relapse is poor. CD19 is highly expressed on the membrane of most malignant B-cells, and was shown to be a promising therapeutic target of B-LL. In this present work, we designed and synthesized a novel drug carrier, anti-CD19 monoclonal antibody-conjugated human serum albumin nanoparticles (HSA-CD19 NPs). Doxorubicin (DOX) was well encapsulated into the HSA-CD19 NPs to form an anticancer nanodrug DOX/HSA-CD19. DOX/HSA-CD19 was preferentially uptaken by CD19+ B-LL cell line KOPN-8. DOX/HSA-CD19 showed strong antiproliferative effect on KOPN-8 cells with an IC50 value of 4.1 μg/mL. Further, proapoptotic Bax and caspase-3 were significantly elevated, but antiapoptotic Bcl2 was reduced in DOX/HSA-CD19 treated KOPN-8 cells, indicating the activation of the apoptosis pathway by the nanodrug. By contrast, DOX/HSA-CD19 did not show affinity to CD19-monocytic cell line, U937, and did not affect its proliferation. Collectively, HSA-CD19 NPs are a kind of effective novel drug carrier, and DOX/HSA-CD19 is a promising antitumor nanodrug for the treatment of B-LL.
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Guo Z, Fan D, Liu FY, Kong CY, Tang QZ. [Effects of maslinic acid on isoproterenol-induced myocardial fibrosis in mice]. ZHONGHUA YI XUE ZA ZHI 2020; 100:1820-1825. [PMID: 32536130 DOI: 10.3760/cma.j.cn112137-20190924-02105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effect of maslinic acid (MA) on isoproterenol (ISO)-induced myocardial fibrosis in mice. Methods: ISO was used to induce myocardial fibrosis in adult male C57BL/6 mice, and MA was administered for two weeks to detect the effects of MA on cardiac function and fibrosis. Molecular changes of fibrosis markers and signaling pathways were detected by RT-PCR and western blotting. Phosphate buffer saline (PBS), PBS+SB203580 (p38 MAPK inhibitor), PBS+MA, ISO, ISO+SB203580, ISO+MA were added to the primary cultured rat fibroblasts. Cells were collected after 48 h for subsequent detection. Results: In this study, the mouse model of myocardial fibrosis was successfully established. The left ventricular faction shortening (FS) and maximum rate of rise and maximum rate of fall of pressure in left ventricular chamber (±dp/dt) of the ISO+MA group were significantly higher than those of the ISO group ((35.1±1.8)% vs (28.5±2.6)%, (7 256±153) mmHg/s vs (6 402±240) mmHg/s, (7 156±163) mmHg/s vs (6 319±219) mmHg/s, all P<0.05). The levels of interstitial and perivascular collagen deposition in the ISO+MA group were higher than those in the ISO group (P<0.05), the relative mRNA levels of COL-1, COL-3 and TGF-β in the ISO+MA group were significantly lower than those in the ISO group, with the relative expression levels of 1.70±0.24 vs 3.69±0.34, 1.72±0.56 vs 4.84±0.82, 1.52±0.19 vs 2.64±0.29, respectively (all P<0.05). The phosphorylation levels of p38 MAPK, Smad3 and protein expression level of TGF-β1 in ISO+MA group were lower than those in ISO group (relative expression levels were 1.67±0.35 vs 2.61±0.58, 1.68±0.23 vs 2.52±0.19,1.56±0.15 vs 2.48±0.26, respectively, all P<0.05). The results of in vitro cell experiments showed that the mRNA levels of COL-1, COL-3 and TGF-β in the SB203580 and MA groups were significantly lower than those in the ISO group (relative expression levels were 2.25±0.51, 2.16±0.48 vs 5.29±1.21; 1.58±0.34, 1.69±0.29 vs 4.97±1.32; 1.41±0.31, 1.55±0.38 vs 3.53±0.56, respectively, all P<0.05). The phosphorylation levels of p38 MAPK and Smad3 in the SB203580 MA groups was significantly lower than those in the ISO group, and the protein expression level of TGF-β1 was lower than that in the ISO group (1.81±0.18, 1.77±0.16 vs 2.56±0.32; 1.85±0.21, 1.81±0.17 vs 2.48±0.37; 1.84±0.24, 1.72±0.17 vs 2.52±0.29, all P<0.05). Conclusion: Maslinic acid can inhibit the phosphorylation of p38 MAPK, thereby preventing the canonical TGF-β1/Smads fibrosis signaling pathway to achieve an anti-fibrosis role.
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Lyu XD, Guo Z, Li YW, Hu JY, Fan RH, Song YP. [Application and clinical study of clonal heterogeneity analysis in acute myeloid leukemia]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2020; 41:483-489. [PMID: 32654462 PMCID: PMC7378279 DOI: 10.3760/cma.j.issn.0253-2727.2020.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Indexed: 11/20/2022]
Abstract
Objective: This study aimed to explore the characteristics and clinical value of clonal heterogeneity in acute myeloid leukemia (AML) . Method: A high-throughput sequencing was carried out to detect 68 related genes in 465 AML patients. Clonal heterogeneity was analyzed based on variant allele frequency (VAF) and flow cytometry results combined with clinical data. Results: Gene mutations were discovered in 338 (81.4%) newly diagnosed patients, and 2 or more clones were significantly increased in patients with DNMT3A, NRAS, and RUNX1 mutations (DNMT3A, χ(2)=15.23; P<0.001; NRAS, χ(2)=19.866; P<0.001; RUNX1, χ(2)=23.647; P<0.001) . The number of clones significantly differed between groups at different ages (χ(2)=17.505, P=0.022) . The proportion of carrying 2 and ≥3 clones increased in patients aged more than 60 years old. There was a significant difference in the clonal heterogeneity between newly diagnosed patients and relapsed or secondary patients (χ(2)=11.302, P=0.010) . Moreover, the proportion of patients with clonal heterogeneity gradually increased according to their prognostic risk (χ(2)=17.505, P=0.022) . Based on the clone analysis, the proportion of primary clones of patients with RUNX1 mutation was higher (χ(2)=4.527, P=0.033) . The analysis of clonal heterogeneity and efficacy demonstrated that patients with three or more clones had significantly lower overall survival (OS) and progression-free survival (PFS) compared to other patients (OS, χ(2)=13.533; P=0.004; PFS, χ(2)=9.817; P=0.020) , while in the intermediate-risk group, patients with a significant clonal heterogeneity also exhibited a significant decrease in PFS (χ(2)=10.883, P=0.012) . Cox regression multivariate analysis revealed that carrying three or more clones was an independent factor affecting prognosis, and OS and PFS were significantly lower than those of patients without clones (OS, HR=3.296; 95% CI, 1.568-6.932; P=0.002; PFS, HR=3.241; 95% CI, 1.411-7.440; P=0.006) . Conclusion: Clonal heterogeneity may reflect the biological characteristics of a tumor, suggesting its drug resistance, refractory, and invasiveness, and further evaluate the treatment effect and prognosis of patients.
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Measurement of the Lund Jet Plane Using Charged Particles in 13 TeV Proton-Proton Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:222002. [PMID: 32567910 DOI: 10.1103/physrevlett.124.222002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/06/2020] [Accepted: 05/13/2020] [Indexed: 06/11/2023]
Abstract
The prevalence of hadronic jets at the LHC requires that a deep understanding of jet formation and structure is achieved in order to reach the highest levels of experimental and theoretical precision. There have been many measurements of jet substructure at the LHC and previous colliders, but the targeted observables mix physical effects from various origins. Based on a recent proposal to factorize physical effects, this Letter presents a double-differential cross-section measurement of the Lund jet plane using 139 fb^{-1} of sqrt[s]=13 TeV proton-proton collision data collected with the ATLAS detector using jets with transverse momentum above 675 GeV. The measurement uses charged particles to achieve a fine angular resolution and is corrected for acceptance and detector effects. Several parton shower Monte Carlo models are compared with the data. No single model is found to be in agreement with the measured data across the entire plane.
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Xu C, Guo Z, Zhang J, Lu Q, Tian Q, Liu S, Li K, Wang K, Tao Z, Li C, Lv Z, Zhang Z, Yang X, Yang F. Non-invasive prediction of fetal growth restriction by whole-genome promoter profiling of maternal plasma DNA: a nested case-control study. BJOG 2020; 128:458-466. [PMID: 32364311 PMCID: PMC7818264 DOI: 10.1111/1471-0528.16292] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2020] [Indexed: 11/28/2022]
Abstract
Objective To predict fetal growth restriction (FGR) by whole‐genome promoter profiling of maternal plasma. Design Nested case–control study. Setting Hospital‐based. Population or Sample 810 pregnancies: 162 FGR cases and 648 controls. Methods We identified gene promoters with a nucleosome footprint that differed between FGR cases and controls based on maternal plasma cell‐free DNA (cfDNA) nucleosome profiling. Optimal classifiers were developed using support vector machine (SVM) and logistic regression (LR) models. Main outcome measures Genes with differential coverages in promoter regions through the low‐coverage whole‐genome sequencing data analysis among FGR cases and controls. Receiver operating characteristic (ROC) analysis (area under the curve [AUC], accuracy, sensitivity and specificity) was used to evaluate the performance of classifiers. Results Through the low‐coverage whole‐genome sequencing data analysis of FGR cases and controls, genes with significantly differential DNA coverage at promoter regions (−1000 to +1000 bp of transcription start sites) were identified. The non‐invasive ‘FGR classifier 1’ (CFGR1) had the highest classification performance (AUC, 0.803; 95% CI 0.767–0.839; accuracy, 83.2%) was developed based on 14 genes with differential promoter coverage using a support vector machine. Conclusions A promising FGR prediction method was successfully developed for assessing the risk of FGR at an early gestational age based on maternal plasma cfDNA nucleosome profiling. Tweetable abstract A promising FGR prediction method was successfully developed, based on maternal plasma cfDNA nucleosome profiling. A promising FGR prediction method was successfully developed, based on maternal plasma cfDNA nucleosome profiling.
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Wang J, Zhou M, Huang G, Guo Z, Sauser J, Metsini A, Pittet D, Zingg W. Antimicrobial resistance in southern China: results of prospective surveillance in Dongguan city, 2017. J Hosp Infect 2020; 105:188-196. [PMID: 32243952 PMCID: PMC7270154 DOI: 10.1016/j.jhin.2020.03.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/23/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Few studies have estimated the burden of infections due to antimicrobial-resistant (AMR) pathogens in China. AIM To summarize antimicrobial resistance and assess the frequency of community-associated infections (CAIs) and healthcare-associated infections (HCAIs) due to AMR pathogens in Dongguan city, China. METHODS Seven acute care hospitals provided antimicrobial susceptibility data for 2017, from which 'bug-drug' combinations were analysed. To calculate incidence proportions of CAI and incidence densities of HCAI, data from three tertiary care hospitals were merged with patient data, obtained from the Dongguan Nosocomial Infection Surveillance System. FINDINGS A total of 16,548 pathogens were analysed. Non-susceptibility to third-generation cephalosporins (3GCs) in Escherichia coli and Klebsiella pneumoniae was 43.9% and 30.2%, respectively. Non-susceptibility to carbapenems in Pseudomonas aeruginosa and Acinetobacter baumannii was 29.5% and 50.9%, respectively. A quarter of Staphylococcus aureus (26.3%) were non-susceptible to oxacillin. The incidence density of HCAI due to E. coli non-susceptible to 3GCs and fluoroquinolones combined was 0.09 (95% confidence interval: 0.07-0.11) per 1000 patient-days. Both E. coli and K. pneumoniae were the predominant pathogens isolated from blood. Compared with the 2017 European Antimicrobial Resistance Surveillance Network report, the incidence proportion of bloodstream infections due to multidrug-resistant E. coli was significantly higher (14.9% and 4.6%, respectively). CONCLUSION The incidence of non-susceptible bug-drug combinations in Dongguan city was lower compared with China as a whole. Non-susceptible bug-drug combinations were significantly more frequent in HCAI compared with CAI. The incidence proportion of bloodstream infections due to multidrug-resistant pathogens in Dongguan City was higher compared with Europe.
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Schmid P, Haiderali A, Mejia J, Guo Z, Zhou X, Martin-Nguyen A, Cortés J, Winer E. 141P Impact of pembrolizumab versus chemotherapy on health-related quality of life in patients with metastatic triple negative breast cancer. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.03.242] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Lü XD, Li YW, Guo Z, Xin YP, Hu JY, Fan RH, Song YP. [Clinical analysis of gene mutation characteristics and mutation burden in myelodysplastic syndrome]. ZHONGHUA YI XUE ZA ZHI 2020; 100:933-937. [PMID: 32234169 DOI: 10.3760/cma.j.cn112137-20190806-01751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To investigate the relationship between gene mutation characteristics, mutation burden and general condition, disease subtype and karyotype of patients with myelodysplastic syndrome (MDS), and its clinical value. Methods: High-throughput sequencing was used to detect 65 blood tumor-related genes in 191 MDS patients and 9 secondary acute myelocytic leukemia patitents(SAML), and to analyze the characteristics of abnormal genes, mutation burden, as well as the relationship with disease subtypes, chromosome karyotypes and age. Results: Mutations were found in 148 patients (77.5%), including 47 abnormal genes and 186 mutation sites. And gene mutations were found in 9 SAML patients, the number of mutations was significantly higher than that in MDS patients (χ(2)=11.911, P=0.018). Among the abnormal genes, the mutation frequency of U2AF1 (37.3%) and ASXL1 (41.6%) were higher, and there were significant differences in mutation burden among different abnormal genes (F=91.946, P<0.001). There were differences in the number of gene mutations among different subtypes of MDS, and the number of EB-2 gene mutations was the highest (2.2±1.5). In SLD, MLD, EB-1 and EB-2, the proportion of carrying ≥ 3 mutations increased gradually (χ(2)=52.471, P=0.037). TP53 mutation was associated with abnormal karyotype (r(φ)=0.177, P=0.019), especially with complex karyotype (r(φ)=0.440, P<0.001), while NPM1 mutation is associated with normal karyotype (r(φ)=0.173, P=0.024). The number of mutations carried by patients under 30 years old was the least, and the number of mutations increased with the increase of age. The number of mutations was the most in patients aged 60 to 79 years old (P=0.017), and the mutation frequency of epigenetic related genes increased with the increase of age (P=0.041). Conclusions: The mutation characteristics and mutation load of MDS-related genes are closely related to clinical factors such as disease subtype, chromosome karyotype and patient age.
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Liu Y, Wang L, Su Y, Brown K, Yang R, Zhang Y, Duanmu Y, Guo Z, Zhang W, Yan C, Yan D, Cheng X. CTXA hip: the effect of partial volume correction on volumetric bone mineral density data for cortical and trabecular bone. Arch Osteoporos 2020; 15:50. [PMID: 32193671 DOI: 10.1007/s11657-020-00721-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 02/25/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED This study compares the results of computed tomography X-ray absorptiometry (CTXA) hip volumetric BMD (vBMD) analyses of cortical and trabecular bone with and without partial volume correction. For cortical bone in some circumstances, corrected cortical volumes were negative and corrected vBMD was very high. For trabecular bone, the correction effects are smaller. CTXA volumetric data should be interpreted with caution. PURPOSE Previous studies have reported concerns about the reliability of CTXA hip cortical vBMD measurements generated using partial volume (PV) correction (the "default" analysis, with cortical PV correction). To date, no studies have examined the results of the alternative ("new") analysis (with trabecular PV correction). This study presents in vivo and phantom data comparing the corrected and uncorrected data for cortical and trabecular bone respectively. METHODS We used the commercial QCTPro CTXA software to analyze CT scans of 129 elderly Chinese men and women and an anthropomorphic European Proximal Femur phantom (EPFP) and accessed data for two alternative scan analyses using the database dump utility. The CTXA software gives the user two methods of performing the PV correction: (1) a default analysis in which only cortical bone results are corrected; (2) a new analysis in which only trabecular bone results are corrected. Both methods are based on a numerical recalculation of vBMD values without any change in volume of interest (VOI) placement. RESULT In vivo, the results of the two analyses for integral bone were the same while cortical and trabecular results were different. PV correction of cortical bone led to a decrease of cortical volume for all four VOIs: total hip (TH), femoral neck (FN), trochanter (TR), and intertrochanter (IT) volumes were reduced on average by 7.8 cm3, 0.9 cm3, 2.5 cm3, and 4.3 cm3 respectively. For TR, where cortex was thinnest, average corrected cortical volume was negative (- 0.4± 1.3 cm3). Corrected cortical vBMD values were much larger than uncorrected ones for TH, FN, and IT. Scatter plots of corrected cortical vBMD against cortical bone thickness showed that elevated results correlated with thinner cortices. When trabecular bone was corrected for the PV effect, trabecular volumes of TH, FN, TR, and IT were reduced on average by 7.9 cm3, 0.8 cm3, 2.6 cm3, and 4.4 cm3 respectively, while vBMD measurements were increased correspondingly. The trabecular volume and vBMD measurements of the two datasets both had highly positive correlations. For the EPFP, the PV-corrected FN data deviated from the nominal phantom value, but was closer for the TR and IT VOIs. Both corrected and uncorrected data overestimated trabecular vBMD, with the corrected results showing greater deviation from nominal values. CONCLUSION The default and new CTXA analyses for volumetric data generate different results, both for cortical and trabecular bone. For cortical bone, the uncorrected results are subject to partial volume effects but the correction method of the default analysis overcorrects the effect leading to in part unreasonable results for cortical bone volume and BMD. For trabecular bone, the correction effects are smaller. CTXA volumetric data should be interpreted with caution.
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Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Achkar B, Adachi S, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Åkesson TPA, Akilli E, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexandre D, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Alimonti G, Alison J, Alkire SP, Allaire C, Allbrooke BMM, Allen BW, Allport PP, Aloisio A, Alonso A, Alonso F, Alpigiani C, Alshehri AA, Alvarez Estevez M, Álvarez Piqueras D, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, An F, Anastopoulos C, Andari N, Andeen T, Anders CF, Anders JK, Andreazza A, Andrei V, Anelli CR, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Aparisi Pozo JA, Aperio Bella L, Arabidze G, Araque JP, Araujo Ferraz V, Araujo Pereira R, Arcangeletti C, Arce ATH, Arduh FA, Arguin JF, Argyropoulos S, Arling JH, Armbruster AJ, Armstrong A, Arnaez O, Arnold H, Arrubarrena Tame ZP, Artamonov A, Artoni G, Artz S, Asai S, Asbah N, Asimakopoulou EM, Asquith L, Assahsah J, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Augsten K, Avolio G, Avramidou R, Ayoub MK, Azoulay AM, Azuelos G, Bachacou H, Bachas K, Backes M, Backman F, Bagnaia P, Bahmani M, Bahrasemani H, Bailey AJ, Bailey VR, Baines JT, Bajic M, Bakalis C, Baker OK, Bakker PJ, Bakshi Gupta D, Balaji S, Baldin EM, Balek P, Balli F, Balunas WK, Balz J, Banas E, Bandyopadhyay A, Banerjee S, Bannoura AAE, Barak L, Barbe WM, Barberio EL, Barberis D, Barbero M, Barbour G, Barillari T, Barisits MS, Barkeloo J, Barklow T, Barnea R, Barnes SL, Barnett BM, Barnett RM, Barnovska-Blenessy Z, Baroncelli A, Barone G, Barr AJ, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barsov S, Bartoldus R, Bartolini G, Barton AE, Bartos P, Basalaev A, Bassalat A, Basso MJ, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Bauce M, Bauer F, Bauer KT, Bawa HS, Beacham JB, Beau T, Beauchemin PH, Becherer F, Bechtle P, Beck HC, Beck HP, Becker K, Becker M, Becot C, Beddall A, Beddall AJ, Bednyakov VA, Bedognetti M, Bee CP, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beisiegel F, Bell AS, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belotskiy K, Belyaev NL, Benchekroun D, Benekos N, Benhammou Y, Benjamin DP, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Berge D, Bergeaas Kuutmann E, Berger N, Bergmann B, Bergsten LJ, Beringer J, Berlendis S, Bernardi G, Bernius C, Bernlochner FU, Berry T, Berta P, Bertella C, Bertram IA, Bessidskaia Bylund O, Besson N, Bethani A, Bethke S, Betti A, Bevan AJ, Beyer J, Bhattacharya DS, Bhattarai P, Bi R, Bianchi RM, Biebel O, Biedermann D, Bielski R, Bierwagen K, Biesuz NV, Biglietti M, Billoud TRV, Bindi M, Bingul A, Bini C, Biondi S, Birman M, Bisanz T, Biswal JP, Biswas D, Bitadze A, Bittrich C, Bjørke K, Black KM, Blazek T, Bloch I, Blocker C, Blue A, Blumenschein U, Bobbink GJ, Bobrovnikov VS, Bocchetta SS, Bocci A, Boerner D, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Boldyrev AS, Bolz AE, Bomben M, Bona M, Bonilla JS, Boonekamp M, Booth CD, Borecka-Bielska HM, Borisov A, Borissov G, Bortfeldt J, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Boudreau J, Bouhova-Thacker EV, Boumediene D, Boutle SK, Boveia A, Boyd J, Boye D, Boyko IR, Bozson AJ, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Breaden Madden WD, Brendlinger K, Brenner L, Brenner R, Bressler S, Brickwedde B, Briglin DL, Britton D, Britzger D, Brock I, Brock R, Brooijmans G, Brooks WK, Brost E, Broughton JH, Bruckman de Renstrom PA, Bruncko D, Bruni A, Bruni G, Bruni LS, Bruno S, Bruschi M, Bruscino N, Bryant P, Bryngemark L, Buanes T, Buat Q, Buchholz P, Buckley AG, Budagov IA, Bugge MK, Bührer F, Bulekov O, Burch TJ, Burdin S, Burgard CD, Burger AM, Burghgrave B, Burr JTP, Burton CD, Burzynski JC, Büscher V, Buschmann E, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Butti P, Buttinger W, Buxo Vazquez CJ, Buzatu A, Buzykaev AR, Cabras G, Cabrera Urbán S, Caforio D, Cai H, Cairo VMM, Cakir O, Calace N, Calafiura P, Calandri A, Calderini G, Calfayan P, Callea G, Caloba LP, Calvente Lopez S, Calvet D, Calvet S, Calvet TP, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Cameron D, Caminal Armadans R, Camincher C, Campana S, Campanelli M, Camplani A, Campoverde A, Canale V, Canesse A, Cano Bret M, Cantero J, Cao T, Cao Y, Capeans Garrido MDM, Capua M, Cardarelli R, Cardillo F, Carducci G, Carli I, Carli T, Carlino G, Carlson BT, Carminati L, Carney RMD, Caron S, Carquin E, Carrá S, Carter JWS, Casado MP, Casha AF, Casper DW, Castelijn R, Castillo FL, Castillo Gimenez V, Castro NF, Catinaccio A, Catmore JR, Cattai A, Caudron J, Cavaliere V, Cavallaro E, Cavalli-Sforza M, Cavasinni V, Celebi E, Ceradini F, Cerda Alberich L, Cerny K, Cerqueira AS, Cerri A, Cerrito L, Cerutti F, Cervelli A, Cetin SA, Chadi Z, Chakraborty D, Chan SK, Chan WS, Chan WY, Chapman JD, Chargeishvili B, Charlton DG, Charman TP, Chau CC, Che S, Chekanov S, Chekulaev SV, Chelkov GA, Chelstowska MA, Chen B, Chen C, Chen CH, Chen H, Chen J, Chen J, Chen S, Chen SJ, Chen X, Chen Y, Chen YH, Cheng HC, Cheng HJ, Cheplakov A, Cheremushkina E, Cherkaoui El Moursli R, Cheu E, Cheung K, Chevalérias TJA, Chevalier L, Chiarella V, Chiarelli G, Chiodini G, Chisholm AS, Chitan A, Chiu I, Chiu YH, Chizhov MV, Choi K, Chomont AR, Chouridou S, Chow YS, Chu MC, Chu X, Chudoba J, Chuinard AJ, Chwastowski JJ, Chytka L, Cieri D, Ciesla KM, Cinca D, Cindro V, Cioară IA, Ciocio A, Cirotto F, Citron ZH, Citterio M, Ciubotaru DA, Ciungu BM, Clark A, Clark MR, Clark PJ, Clement C, Coadou Y, Cobal M, Coccaro A, Cochran J, Cohen H, Coimbra AEC, Colasurdo L, Cole B, Colijn AP, Collot J, Conde Muiño P, Coniavitis E, Connell SH, Connelly IA, Constantinescu S, Conventi F, Cooper-Sarkar AM, Cormier F, Cormier KJR, Corpe LD, Corradi M, Corrigan EE, Corriveau F, Cortes-Gonzalez A, Costa MJ, Costanza F, Costanzo D, Cowan G, Cowley JW, Crane J, Cranmer K, Crawley SJ, Creager RA, Crépé-Renaudin S, Crescioli F, Cristinziani M, Croft V, Crosetti G, Cueto A, Cuhadar Donszelmann T, Cukierman AR, Cunningham WR, Czekierda S, Czodrowski P, Da Cunha Sargedas De Sousa MJ, Da Fonseca Pinto JV, Da Via C, Dabrowski W, Dado T, Dahbi S, Dai T, Dallapiccola C, Dam M, D'amen G, D'Amico V, Damp J, Dandoy JR, Daneri MF, Dang NP, Dann NS, Danninger M, Dao V, Darbo G, Dartsi O, Dattagupta A, Daubney T, D'Auria S, Davey W, David C, Davidek T, Davis DR, Dawson I, De K, De Asmundis R, De Beurs M, De Castro S, De Cecco S, De Groot N, de Jong P, De la Torre H, De Maria A, De Pedis D, De Salvo A, De Sanctis U, De Santis M, De Santo A, De Vasconcelos Corga K, De Vivie De Regie JB, Debenedetti C, Dedovich DV, Deiana AM, Del Gaudio M, Del Peso J, Delabat Diaz Y, Delgove D, Deliot F, Delitzsch CM, Della Pietra M, Della Volpe D, Dell'Acqua A, Dell'Asta L, Delmastro M, Delporte C, Delsart PA, DeMarco DA, Demers S, Demichev M, Demontigny G, Denisov SP, Denysiuk D, D'Eramo L, Derendarz D, Derkaoui JE, Derue F, Dervan P, Desch K, Deterre C, Dette K, Deutsch C, Devesa MR, Deviveiros PO, Dewhurst A, Di Bello FA, Di Ciaccio A, Di Ciaccio L, Di Clemente WK, Di Donato C, Di Girolamo A, Di Gregorio G, Di Micco B, Di Nardo R, Di Petrillo KF, Di Sipio R, Di Valentino D, Diaconu C, Dias FA, Dias Do Vale T, Diaz MA, Dickinson J, Diehl EB, Dietrich J, Díez Cornell S, Dimitrievska A, Ding W, Dingfelder J, Dittus F, Djama F, Djobava T, Djuvsland JI, Do Vale MAB, Dobre M, Dodsworth D, Doglioni C, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D'onofrio A, D'Onofrio M, Dopke J, Doria A, Dova MT, Doyle AT, Drechsler E, Dreyer E, Dreyer T, Drobac AS, Du D, Duan Y, Dubinin F, Dubovsky M, Dubreuil A, Duchovni E, Duckeck G, Ducourthial A, Ducu OA, Duda D, Dudarev A, Dudder AC, Duffield EM, Duflot L, Dührssen M, Dülsen C, Dumancic M, Dumitriu AE, Duncan AK, Dunford M, Duperrin A, Duran Yildiz H, Düren M, Durglishvili A, Duschinger D, Dutta B, Duvnjak D, Dyckes GI, Dyndal M, Dysch S, Dziedzic BS, Ecker KM, Edgar RC, Eggleston MG, Eifert T, Eigen G, Einsweiler K, Ekelof T, El Jarrari H, El Kacimi M, El Kosseifi R, Ellajosyula V, Ellert M, Ellinghaus F, Elliot AA, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Emerman A, Enari Y, Epland MB, Erdmann J, Ereditato A, Errenst M, Escalier M, Escobar C, Estrada Pastor O, Etzion E, Evans H, Ezhilov A, Fabbri F, Fabbri L, Fabiani V, Facini G, Faisca Rodrigues Pereira RM, Fakhrutdinov RM, Falciano S, Falke PJ, Falke S, Faltova J, Fang Y, Fang Y, Fanourakis G, Fanti M, Faraj M, Farbin A, Farilla A, Farina EM, Farooque T, Farrell S, Farrington SM, Farthouat P, Fassi F, Fassnacht P, Fassouliotis D, Faucci Giannelli M, Fawcett WJ, Fayard L, Fedin OL, Fedorko W, Fehr A, Feickert M, Feligioni L, Fell A, Feng C, Feng EJ, Feng M, Fenton MJ, Fenyuk AB, Ferrando J, Ferrante A, Ferrari A, Ferrari P, Ferrari R, Ferreira de Lima DE, Ferrer A, Ferrere D, Ferretti C, Fiedler F, Filipčič A, Filthaut F, Finelli KD, Fiolhais MCN, Fiorini L, Fischer F, Fisher WC, Fleck I, Fleischmann P, Fletcher RRM, Flick T, Flierl BM, Flores L, Flores Castillo LR, Follega FM, Fomin N, Foo JH, Forcolin GT, Formica A, Förster FA, Forti AC, Foster AG, Foti MG, Fournier D, Fox H, Francavilla P, Francescato S, Franchini M, Franchino S, Francis D, Franconi L, Franklin M, Fray AN, Freeman PM, Freund B, Freund WS, Freundlich EM, Frizzell DC, Froidevaux D, Frost JA, Fukunaga C, Fullana Torregrosa E, Fumagalli E, Fusayasu T, Fuster J, Gabrielli A, Gabrielli A, Gach GP, Gadatsch S, Gadow P, Gagliardi G, Gagnon LG, Galea C, Galhardo B, Gallardo GE, Gallas EJ, Gallop BJ, Galster G, Gamboa Goni R, Gan KK, Ganguly S, Gao J, Gao Y, Gao YS, García C, García Navarro JE, García Pascual JA, Garcia-Argos C, Garcia-Sciveres M, Gardner RW, Garelli N, Gargiulo S, Garonne V, Gaudiello A, Gaudio G, Gavrilenko IL, Gavrilyuk A, Gay C, Gaycken G, Gazis EN, Geanta AA, Gee CM, Gee CNP, Geisen J, Geisen M, Gemme C, Genest MH, Geng C, Gentile S, George S, Geralis T, Gerlach LO, Gessinger-Befurt P, Gessner G, Ghasemi S, Ghasemi Bostanabad M, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giangiacomi N, Giannetti P, Giannini A, Giannini G, Gibson SM, Gignac M, Gillberg D, Gilles G, Gingrich DM, Giordani MP, Giorgi FM, Giraud PF, Giugliarelli G, Giugni D, Giuli F, Gkaitatzis S, Gkialas I, Gkougkousis EL, Gkountoumis P, Gladilin LK, Glasman C, Glatzer J, Glaysher PCF, Glazov A, Gledhill GR, Goblirsch-Kolb M, Godin D, Goldfarb S, Golling T, Golubkov 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Measurement of Azimuthal Anisotropy of Muons from Charm and Bottom Hadrons in pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:082301. [PMID: 32167369 DOI: 10.1103/physrevlett.124.082301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 11/29/2019] [Accepted: 01/22/2020] [Indexed: 06/10/2023]
Abstract
The elliptic flow of muons from the decay of charm and bottom hadrons is measured in pp collisions at sqrt[s]=13 TeV using a data sample with an integrated luminosity of 150 pb^{-1} recorded by the ATLAS detector at the LHC. The muons from heavy-flavor decay are separated from light-hadron decay muons using momentum imbalance between the tracking and muon spectrometers. The heavy-flavor decay muons are further separated into those from charm decay and those from bottom decay using the distance-of-closest-approach to the collision vertex. The measurement is performed for muons in the transverse momentum range 4-7 GeV and pseudorapidity range |η|<2.4. A significant nonzero elliptic anisotropy coefficient v_{2} is observed for muons from charm decays, while the v_{2} value for muons from bottom decays is consistent with zero within uncertainties.
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