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Yamazaki Y, Yan Z, Yang HJ, Yang HT, Yang S, Yang X, Yang Y, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Yuen SPY, 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 H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, 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. 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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Seo H, Kim SH, Lee BD, Lim JH, Lee SJ, An G, Paek NC. The Rice Basic Helix-Loop-Helix 79 ( OsbHLH079) Determines Leaf Angle and Grain Shape. Int J Mol Sci 2020; 21:ijms21062090. [PMID: 32197452 PMCID: PMC7139501 DOI: 10.3390/ijms21062090] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 11/20/2022] Open
Abstract
Changes in plant architecture, such as leaf size, leaf shape, leaf angle, plant height, and floral organs, have been major factors in improving the yield of cereal crops. Moreover, changes in grain size and weight can also increase yield. Therefore, screens for additional factors affecting plant architecture and grain morphology may enable additional improvements in yield. Among the basic Helix-Loop-Helix (bHLH) transcription factors in rice (Oryza sativa), we found an enhancer-trap T-DNA insertion mutant of OsbHLH079 (termed osbhlh079-D). The osbhlh079-D mutant showed a wide leaf angle phenotype and produced long grains, similar to the phenotypes of mutants with increased brassinosteroid (BR) levels or enhanced BR signaling. Reverse transcription-quantitative PCR analysis showed that BR signaling-associated genes are largely upregulated in osbhlh079-D, but BR biosynthesis-associated genes are not upregulated, compared with its parental japonica cultivar ‘Dongjin’. Consistent with this, osbhlh079-D was hypersensitive to BR treatment. Scanning electron microscopy revealed that the expansion of cell size in the adaxial side of the lamina joint was responsible for the increase in leaf angle in osbhlh079-D. The expression of cell-elongation-associated genes encoding expansins and xyloglucan endotransglycosylases/hydrolases increased in the lamina joints of leaves in osbhlh079-D. The regulatory function of OsbHLH079 was further confirmed by analyzing 35S::OsbHLH079 overexpression and 35S::RNAi-OsbHLH079 gene silencing lines. The 35S::OsbHLH079 plants showed similar phenotypes to osbhlh079-D, and the 35S::RNAi-OsbHLH079 plants displayed opposite phenotypes to osbhlh079-D. Taking these observations together, we propose that OsbHLH079 functions as a positive regulator of BR signaling in rice.
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Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamatani M, Yamazaki T, Yamazaki Y, Yan Z, Yang HJ, Yang HT, Yang S, Yang X, Yang Y, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Yuen SPY, 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 H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, 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. 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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Dit Latour B, Martinelli L, Martinez M, Martinez Outschoorn VI, Martin-Haugh S, Martoiu VS, Martyniuk AC, Marzin A, Maschek SR, Masetti L, Mashimo T, Mashinistov R, Masik J, Maslennikov AL, Mason LH, Massa L, Massarotti P, Mastrandrea P, Mastroberardino A, Masubuchi T, Matic A, Mättig P, Maurer J, Maček B, Maxfield SJ, Maximov DA, Mazini R, Maznas I, Mazza SM, Mc Kee SP, McCarthy TG, McClymont LI, McCormack WP, McDonald EF, Mcfayden JA, McKay MA, McLean KD, McMahon SJ, McNamara PC, McNicol CJ, McPherson RA, Mdhluli JE, Meadows ZA, Meehan S, Megy T, Mehlhase S, Mehta A, Meideck T, Meirose B, Melini D, Mellado Garcia BR, Mellenthin JD, Melo M, Meloni F, Melzer A, Menary SB, Mendes Gouveia ED, Meng L, Meng XT, Menke S, Meoni E, Mergelmeyer S, Merkt SAM, Merlassino C, Mermod P, Merola L, Meroni C, Meshkov O, Meshreki JKR, Messina A, Metcalfe J, Mete AS, Meyer C, Meyer J, Meyer JP, Meyer Zu Theenhausen H, Miano F, Middleton RP, Mijović L, Mikenberg G, Mikestikova M, Mikuž M, Mildner H, 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Qian J, Qin Y, Quadt A, Queitsch-Maitland M, Qureshi A, Rados P, Ragusa F, Rahal G, Raine JA, Rajagopalan S, Ramirez Morales A, Ran K, Rashid T, Raspopov S, Ratti MG, Rauch DM, Rauscher F, Rave S, Ravina B, Ravinovich I, Rawling JH, Raymond M, Read AL, Readioff NP, Reale M, Rebuzzi DM, Redelbach A, Redlinger G, Reeves K, Rehnisch L, Reichert J, Reikher D, Reiss A, Rej A, Rembser C, Renda M, Rescigno M, Resconi S, Resseguie ED, Rettie S, Reynolds E, Rezanova OL, Reznicek P, Ricci E, Richter R, Richter S, Richter-Was E, Ricken O, Ridel M, Rieck P, Riegel CJ, Rifki O, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Ripellino G, Ristić B, Ritsch E, Riu I, Rivera Vergara JC, Rizatdinova F, Rizvi E, Rizzi C, Roberts RT, Robertson SH, Robin M, Robinson D, Robinson JEM, Robles Gajardo CM, Robson A, Rocco E, Roda C, Rodriguez Bosca S, Rodriguez Perez A, Rodriguez Rodriguez D, Rodríguez Vera AM, Roe S, Røhne O, Röhrig R, Roland CPA, Roloff J, Romaniouk A, Romano M, Rompotis N, Ronzani M, Roos L, Rosati S, Rosbach K, Rosin G, Rosser BJ, Rossi E, Rossi E, Rossi E, Rossi LP, Rossini L, Rosten R, Rotaru M, Rothberg J, Rousseau D, Rovelli G, Roy D, Rozanov A, Rozen Y, Ruan X, Rubbo F, Rühr F, Ruiz-Martinez A, Rummler A, Rurikova Z, Rusakovich NA, Russell HL, Rustige L, Rutherfoord JP, Rüttinger EM, Ryabov YF, Rybar M, Rybkin G, Ryzhov A, Rzehorz GF, Sabatini P, Sabato G, Sacerdoti S, Sadrozinski HFW, Sadykov R, Safai Tehrani F, Safarzadeh Samani B, Saha P, Saha S, Sahinsoy M, Sahu A, Saimpert M, Saito M, Saito T, Sakamoto H, Sakharov A, Salamani D, Salamanna G, Salazar Loyola JE, Sales De Bruin PH, Salnikov A, Salt J, 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, Sauvan E, Savard P, Savic N, 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, Scharmberg N, Schegelsky VA, Scheirich D, Schenck F, Schernau M, Schiavi C, Schier S, 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, Schnoor U, 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, Seiss T, Seixas JM, Sekhniaidze G, Sekhon K, Sekula SJ, Semprini-Cesari N, Sen S, Senkin S, Serfon C, Serin L, Serkin L, Sessa M, Severini H, Sforza F, Sfyrla A, Shabalina E, Shahinian JD, Shaikh NW, Shaked Renous D, Shan LY, Shang R, Shank JT, Shapiro M, Sharma A, Sharma AS, Shatalov PB, Shaw K, Shaw SM, Shcherbakova A, Shen Y, Sherafati N, 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 S, Shope DR, Shrestha S, Shulga E, Sicho P, Sickles AM, Sidebo PE, Sideras Haddad E, Sidiropoulou O, Sidoti A, Siegert F, Sijacki D, Silva M, Silva Oliveira MV, Silverstein SB, Simion S, Simioni E, Simoniello R, Simsek S, Sinervo P, Sinetckii V, Sinev NB, Sioli M, Siral I, Sivoklokov SY, Sjölin J, 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, Soffa AM, 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, Sopkova F, Sotiropoulou CL, Sottocornola S, Soualah R, Soukharev AM, South D, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spieker TM, Spighi R, Spigo G, Spina M, Spiteri DP, Spousta M, Stabile A, Stamas BL, Stamen R, Stamenkovic M, Stanecka E, Stanek RW, Stanislaus B, Stanitzki MM, Stankaityte M, Stapf B, Starchenko EA, Stark GH, Stark J, Stark SH, 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, Stolte P, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, 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, Takai H, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tamir NM, Tanaka J, Tanaka M, Tanaka R, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AJ, Taylor GN, Taylor W, 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, Theveneaux-Pelzer T, Thiele F, Thomas DW, Thomas JO, Thomas JP, Thompson AS, Thompson PD, Thomsen LA, Thomson E, Tian Y, 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, Tomiwa KG, Tomoto M, Tompkins L, Toms K, Tong B, 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 W, Trocmé B, Trofymov A, Troncon C, Trovatelli M, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tseng JCL, Tsiareshka PV, Tsirigotis A, Tsirintanis N, 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 RT, Tuts PM, Tzamarias S, Tzovara E, Ucchielli G, Uchida K, Ueda I, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Uno K, Urban J, Urquijo P, Usai G, Usui J, Uysal Z, Vacavant L, 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, Vaniachine A, Vannicola D, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vasquez GA, Vasquez JG, 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, Vetterli MC, Viaux Maira N, Vicente Barreto Pinto M, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinogradov VB, 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, Šfiligoj T, Vuillermet R, Vukotic I, Ženiš T, Živković L, Wagner P, Wagner W, Wagner-Kuhr J, Wahlberg H, Wakamiya K, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wallangen V, Wang AM, 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, Webb S, 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, Wickens FJ, Wiedenmann W, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilk F, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willis C, Willocq S, Wilson JA, Wingerter-Seez I, Winkels E, Winklmeier F, Winston OJ, Winter BT, Wittgen M, Wobisch M, Wolf A, Wolf TMH, Wolff R, Wölker RW, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xu D, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamanaka T, Yamane F, Yamatani M, Yamazaki T, Yamazaki Y, Yan Z, Yang HJ, Yang HT, Yang S, Yang X, Yang Y, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Yuen SPY, 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, Zerwas D, Zgubič M, Zhang DF, Zhang F, Zhang G, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Search for Magnetic Monopoles and Stable High-Electric-Charge Objects in 13 Tev Proton-Proton Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:031802. [PMID: 32031842 DOI: 10.1103/physrevlett.124.031802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 11/26/2019] [Indexed: 06/10/2023]
Abstract
A search for magnetic monopoles and high-electric-charge objects is presented using 34.4 fb^{-1} of 13 TeV pp collision data collected by the ATLAS detector at the LHC during 2015 and 2016. The considered signature is based upon high ionization in the transition radiation tracker of the inner detector associated with a pencil-shape energy deposit in the electromagnetic calorimeter. The data were collected by a dedicated trigger based on the tracker high-threshold hit capability. The results are interpreted in models of Drell-Yan pair production of stable particles with two spin hypotheses (0 and 1/2) and masses ranging from 200 to 4000 GeV. The search improves by approximately a factor of 5 the constraints on the direct production of magnetic monopoles carrying one or two Dirac magnetic charges and stable objects with electric charge in the range 20≤|z|≤60 and extends the charge range to 60<|z|≤100.
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Park YH, Lee SJ, Cho EY, La Choi Y, Lee JE, Nam SJ, Yang JH, Shin JH, Ko EY, Han BK, Ahn JS, Im YH. Clinical relevance of TNM staging system according to breast cancer subtypes. Ann Oncol 2019; 30:2011. [PMID: 31408085 DOI: 10.1093/annonc/mdz223] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023] Open
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Aguilar-Arevalo A, Amidei D, Baxter D, Cancelo G, Cervantes Vergara BA, Chavarria AE, Darragh-Ford E, de Mello Neto JRT, D'Olivo JC, Estrada J, Gaïor R, Guardincerri Y, Hossbach TW, Kilminster B, Lawson I, Lee SJ, Letessier-Selvon A, Matalon A, Mello VBB, Mitra P, Molina J, Paul S, Piers A, Privitera P, Ramanathan K, Da Rocha J, Sarkis Y, Settimo M, Smida R, Thomas R, Tiffenberg J, Torres Machado D, Vilar R, Virto AL. Constraints on Light Dark Matter Particles Interacting with Electrons from DAMIC at SNOLAB. PHYSICAL REVIEW LETTERS 2019; 123:181802. [PMID: 31763884 DOI: 10.1103/physrevlett.123.181802] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/03/2019] [Indexed: 06/10/2023]
Abstract
We report direct-detection constraints on light dark matter particles interacting with electrons. The results are based on a method that exploits the extremely low levels of leakage current of the DAMIC detector at SNOLAB of 2-6×10^{-22} A cm^{-2}. We evaluate the charge distribution of pixels that collect <10e^{-} for contributions beyond the leakage current that may be attributed to dark matter interactions. Constraints are placed on so-far unexplored parameter space for dark matter masses between 0.6 and 100 MeV c^{-2}. We also present new constraints on hidden-photon dark matter with masses in the range 1.2-30 eV c^{-2}.
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Go EB, Kim HE, Kim JS, Lee SJ, Ahn JW, Lee SH, Cho HJ, Roh HJ. 2440 Efficacy of Hand Assisted Laparoscopic Adenomyomectomy with Manipulation of Uterine Artery Comparing with Classical Laparoscopic and Laparotomic Adenomyomectomy. J Minim Invasive Gynecol 2019. [DOI: 10.1016/j.jmig.2019.09.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Yoo BS, Ahn MS, Lee SJ, Son JW, Kim JY, Park SW. P783Guideline-directed therapy at discharge is important in patients with heart failure and atrial fibrillation. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz747.0383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
There are limited and conflicting data regarding the prognostic implication of guideline-directed therapy, especially in heart failure (HF) patients with atrial fibrillation (AF). Thus, this study evaluated the relationship between guideline adherence to recommended therapy at discharge and relevant 60-day clinical outcomes in acute HF patients with AF having reduced ejection fraction (HFrEF) or preserved ejection fraction (HFpEF).
Methods and results
Of 5,625 acute HF patients in the Korean Acute Heart Failure Registry, 2,071 with documented AF (HFrEF, n=986; HFpEF, n=1,085) were separately analysed. A guideline adherence score was calculated for the prescription of angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, β-blockers, mineralocorticoid receptor antagonists, and anticoagulants. In HFrEF patients with AF, there was significant trend of increase in mortality (p for trend <0.001) and composite endpoint (p for trend = 0.002) according to guideline adherence. Poor adherence was associated with a significantly high risk of mortality (hazard ratio [HR], 4.75; 95% confidence interval [95% CI], 1.77–12.74) and composite endpoint (HR, 2.36; 95% CI, 1.33–4.18). In HFpEF patients with AF, there was a significant increasing trend for rehospitalization (p for trend = 0.04) and composite endpoint (p for trend = 0.03). However, the beneficial effect of good guideline adherence was statistically non-significant for all clinical outcomes
Conclusion
Better adherence to guidelines was associated with a better 60-day prognosis in both HFrEF and HFpEF patients with AF. However, the beneficial effect of guideline adherence was more pronounced in HFrEF patients with AF.
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Sung K, Lee JY, Lee SJ. P645Low levels of low density lipoprotein cholesterol and cardiovascular, cancer and all-cause mortality outcomes. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz747.0252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Aims
The effect of low concentrations of low density lipoprotein-cholesterol (LDL-C) on cardiovascular disease (CVD) cancer and all-cause mortality is still controversial. In a large, young, well characterized, relatively healthy occupational cohort (Kangbuk Samsung health study, KSHS), we tested associations between low levels of LDL-C concentration, and CVD, cancer and all- cause mortality. To validate these associations, we analyzed data from another cohort (Korean genome and epidemiology study, KoGES).
Methods and results
347,971 subjects in KSHS (mean age 39.6 years, 57.4% men) were studied over a mean follow up of 5.64±3.27 years. All subjects treated with any lipid lowering therapy were excluded. After excluding the data from subjects who died during the first 3 years of follow up, five groups were defined according to baseline LDL-C concentration (<70, 70–99, 100–129, 130–159, ≥160 mg/dL). Hazard ratios (HR and 95% CIs) for all-cause mortality, CVD and cancer mortality were estimated using Cox proportional hazards models. In the KoGES validation cohort, 182,943 subjects (mean age 53.1 years, 34.6% men) were studied over a mean follow up of 8.57±2.59 years with same methods. 2,028 deaths (897 from cancer and 282 from CVD) occurred during follow-up in KSHS. The lowest LDL-C group (LDL<70 mg/dL) had a higher risk of all-cause mortality (HR 1.95, 1.55–2.47), CVD mortality (HR 2.02, 1.11–3.64) and cancer mortality (HR 2.06, 1.46–2.90) compared to the reference group (LDL 120–139 mg/dL). This association was more prominent in men than in women. In the validation cohort, 2,338 deaths (1,823 from cancer and 199 from CVD) occurred during follow-up. The lowest LDL-C group (LDL<70 mg/dL) had a higher risk of all-cause mortality (HR 1.81, 1.44–2.28). Men in the lowest LDL-C group had a higher risk of CVD mortality (HR 3.15, 1.21–8.21) and cancer mortality (1.34, 0.99–1.82) in the KoGES cohort.
Conclusions
Low levels of LDL-C concentration are strongly and independently associated with increased risk of cancer, CVD and all-cause mortality especially in men.
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Chung ML, Lee SJ, Moser DK, King RB. 2205Caregivers with persistent depressive symptoms are at high risk of having poor health status over 1 year of caregiving. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Depressive symptoms are a substantial psychological problem in caregivers of stroke survivors, but there is limited knowledge about the trajectory of depressive symptoms and the consequence in longitudinal study. The purposes of this study were to (1) identify patterns for trajectory of depressive symptoms in caregivers who provided caregiving for stroke survivors for 1 year post-discharge, and (2) examine associations of depressive symptom trajectories with caregivers' burden, family function, social support, and health status over time.
Methods
In this secondary analysis of a longitudinal study, caregivers of stroke survivors completed a survey at post-discharge and 1 year follow up. Depressive symptoms were assessed using the Center for Epidemiologic Studies-Depression scale (CES-D). Caregiving burden, family function, and social support were assessed using the Zarit Burden Interview, the Family Assessment Device, and the Interpersonal Support Evaluation List. Health status was assessed using two items from the SF-36. Pattern of depressive symptom trajectory (i.e., symptom-free, symptom improved, symptom developed, and persistent symptom) were identified by the presence of depressive symptoms (CES-D ≥16) at post-discharge and 1 year follow up. ANOVA, and multinomial logistic regression were used.
Results
Of the 102 caregivers (mean age=58 years, 66% female), 32.4% experienced depressive symptoms at post-discharge; 30.4% experienced depressive symptoms at 1-year follow up. During the first year of the caregiving experience, 57.8% of caregivers were symptom-free but 20.6% experienced persistent depressive symptoms; 11.8% had improved depressive symptoms, and 9.8% developed depressive symptoms. Caregivers with persistent depressive symptoms reported the highest level of burden (p<0.001), and the lowest levels of family function (p=0.02) and interpersonal support (p=0.0001) among the 4 groups at post-discharge and the results were unchanged at 1 year follow up. Furthermore, 33% of caregivers with persistent depressive symptoms reported their health as fair or poor at 1 year follow up and 42% of them reported their health became worse at 1 year follow up. Caregivers who developed depressive symptoms had the 2nd lowest score of interpersonal support (p=0.047) at 1 year follow up. Compared to symptom-free caregivers, caregivers with persistent depressive symptoms were 7 times more likely to have fair or poor health at 1 year follow up (95% CI, 1.55–32.87, p=0.012).
Conclusions
Trajectory of depressive symptoms was associated with caregiving burden, family function, and interpersonal support. The persistence of depressive symptoms is substantial for caregivers of stroke survivors and they are at high risk to have poor health status at 1 year of caregiving. Management of depressive symptoms at the early caregiving stage may be beneficial to prevent the development and persistence of depressive symptoms in caregivers of stroke survivors.
Acknowledgement/Funding
National Institute for Nursing Research R01NR02416
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Kim JT, Cho BH, Choi KH, Park MS, Kim BJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Nah HW, Park TH, Park SS, Lee KB, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Ryu WS, Choi JC, Kwon JH, Kim WJ, Shin DI, Sohn SI, Hong JH, Lee JS, Lee J, Bae HJ, Saver JL, Cho KH. Association between time to treatment and functional outcomes according to the Diffusion-Weighted Imaging Alberta Stroke Program Early Computed Tomography Score in endovascular stroke therapy. Eur J Neurol 2019; 27:343-351. [PMID: 31535427 DOI: 10.1111/ene.14083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Accepted: 09/03/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND PURPOSE The rate at which the chance of a good outcome of endovascular stroke therapy (EVT) decays with time when eligible patients are selected by baseline diffusion-weighted magnetic resonance imaging (DWI-MRI) and whether ischaemic core size affects this rate remain to be investigated. METHODS This study analyses a prospective multicentre registry of stroke patients treated with EVT based on pretreatment DWI-MRI that was categorized into three groups: small [Diffusion-Weighted Imaging Alberta Stroke Program Early Computed Tomography Score (DWI-ASPECTS)] (8-10), moderate (5-7) and large (<5) cores. The main outcome was a good outcome at 90 days (modified Rankin Scale 0-2). The interaction between onset-to-groin puncture time (OTP) and DWI-ASPECTS categories regarding functional outcomes was investigated. RESULTS Ultimately, 985 patients (age 69 ± 11 years; male 55%) were analysed. Potential interaction effects between the DWI-ASPECTS categories and OTP on a good outcome at 90 days were observed (Pinteraction = 0.06). Every 60-min delay in OTP was associated with a 16% reduced likelihood of a good outcome at 90 days amongst patients with large cores, although no associations were observed amongst patients with small to moderate cores. Interestingly, the adjusted rates of a good outcome at 90 days steeply declined between 65 and 213 min of OTP and then remained smooth throughout 24 h of OTP (Pnonlinearity = 0.15). CONCLUSIONS Our study showed that the probability of a good outcome after EVT nonlinearly decreased, with a steeper decline at earlier OTP than at later OTP. Discrepant effects of OTP on functional outcomes by baseline DWI-ASPECTS categories were observed. Thus, different strategies for EVT based on time and ischaemic core size are warranted.
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Esteva FJ, Baranau YV, Baryash V, Manikhas A, Moiseyenko V, Dzagnidze G, Zhavrid E, Boliukh D, Stroyakovskiy D, Pikiel J, Eniu AE, Li RK, Rusyn AV, Tiangco B, Lee SJ, Lee SY, Yu SY, Stebbing J. Efficacy and safety of CT-P6 versus reference trastuzumab in HER2-positive early breast cancer: updated results of a randomised phase 3 trial. Cancer Chemother Pharmacol 2019; 84:839-847. [PMID: 31428820 PMCID: PMC6768896 DOI: 10.1007/s00280-019-03920-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 07/30/2019] [Indexed: 12/12/2022]
Abstract
PURPOSE Neoadjuvant CT-P6, a trastuzumab biosimilar, demonstrated equivalent efficacy to reference trastuzumab in a phase 3 trial of HER2-positive early-stage breast cancer (EBC) (NCT02162667). We report post hoc analyses evaluating pathological complete response (pCR) and breast pCR alongside additional efficacy and safety measures. METHODS Following neoadjuvant treatment and surgery, patients received adjuvant CT-P6 or trastuzumab (6 mg/kg) every 3 weeks for ≤ 1 year. RESULTS In total, 271 and 278 patients received CT-P6 and trastuzumab, respectively. pCR and breast pCR rates were comparable between treatment groups regardless of age, region, or clinical stage. Overall, 47.6% (CT-P6) and 52.2% (trastuzumab) of patients experienced study drug-related treatment-emergent adverse events (TEAEs), including 17 patients reporting heart failure (CT-P6: 10; trastuzumab: 7). Two CT-P6 and three trastuzumab patients discontinued adjuvant treatment due to TEAEs. CONCLUSION Adjuvant CT-P6 demonstrated comparable efficacy and safety to trastuzumab at 1 year in patients with HER2-positive EBC, supporting CT-P6 and trastuzumab comparability.
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Aad G, Abbott B, Abbott DC, Abdinov O, 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, 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, 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, Armitage LJ, Armstrong A, Arnaez O, Arnold H, Artamonov A, Artoni G, Artz S, Asai S, Asbah N, Asimakopoulou EM, Asquith L, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Augsten K, Avolio G, Avramidou R, Ayoub MK, Azoulay AM, Azuelos G, Baca MJ, 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, 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, Bates RL, Batista SJ, 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, Bernard NR, Bernardi G, Bernius C, Berry T, Berta P, Bertella C, Bertram IA, Besjes GJ, Bessidskaia Bylund O, Besson N, Bethani A, Bethke S, Betti A, Bevan AJ, Beyer J, 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, 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, Borecka-Bielska HM, Borisov A, Borissov G, Bortfeldt J, Bortoletto D, Bortolotto V, 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, Bratzler U, 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, Brunt BH, 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, Burka K, Burr JTP, Burzynski JC, Büscher V, Buschmann E, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Butti P, Buttinger W, 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 FC, 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, Chegwidden A, 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, 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, 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 ND, 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, Dhaliwal S, 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, 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, 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, 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Observation of Light-by-Light Scattering in Ultraperipheral Pb+Pb Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2019; 123:052001. [PMID: 31491300 DOI: 10.1103/physrevlett.123.052001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Indexed: 06/10/2023]
Abstract
This Letter describes the observation of the light-by-light scattering process, γγ→γγ, in Pb+Pb collisions at sqrt[s_{NN}]=5.02 TeV. The analysis is conducted using a data sample corresponding to an integrated luminosity of 1.73 nb^{-1}, collected in November 2018 by the ATLAS experiment at the LHC. Light-by-light scattering candidates are selected in events with two photons produced exclusively, each with transverse energy E_{T}^{γ}>3 GeV and pseudorapidity |η_{γ}|<2.4, diphoton invariant mass above 6 GeV, and small diphoton transverse momentum and acoplanarity. After applying all selection criteria, 59 candidate events are observed for a background expectation of 12±3 events. The observed excess of events over the expected background has a significance of 8.2 standard deviations. The measured fiducial cross section is 78±13(stat)±7(syst)±3(lumi) nb.
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Park SY, Lee SJ, Han JH, Koh YW. Association between 18F-FDG uptake in PET/CT, Nrf2, and NQO1 expression and their prognostic significance in non-small cell lung cancer. Neoplasma 2019; 66:619-626. [PMID: 30868898 DOI: 10.4149/neo_2018_181007n742] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 01/15/2019] [Indexed: 11/08/2022]
Abstract
Two pentose phosphate pathway-related proteins, NF-E2-related factor 2 (Nrf2)/ NAD(P)H dehydrogenase (Quinone) 1 (NQO1) regulate the expression of glucose metabolism and antioxidant genes. We evaluated the prognostic significance of NRF2, NQO1 and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) parameter and their relationship with non-small cell lung cancer (NSCLC) histology. A total of 241 patients, who underwent surgical resection for NSCLC, were reviewed retrospectively. Preoperative 18F-FDG PET and immunohistochemical results of Nrf2 and NQO1 were evaluated. In SQCC, the maximum standardized uptake value (SUVmax) was significantly higher in NQO1-high than in NQO1-low expression (p=0.023). In adenocarcinoma, SUVmax was not correlated with NQO1 expression. Patients with a high NQO1 expression showed poor recurrence-free survival (RFS) and overall survival (OS) than patients with a low NQO1 expression in squamous cell carcinoma (SQCC) (p=0.002 and p=0.014, respectively). NQO1 expression was not associated with clinical outcome in adenocarcinoma. Nrf2 expression was not correlated with prognosis in two types of NSCLC. High SUVmax was associated with poor RFS (p=0.03) but is not related to poor OS (p=0.569) in SQCC. In multivariate analyses, NQO1 expression and SUVmax were not independent prognostic factors in SQCC. However, in multivariate analysis combining NQO1 and SUVmax values, both low SUVmax and low NQO1 was independent prognostic factor for RFS and OS (HR= 3.790, p = 0.033 and HR= 2.961, p = 0.045, respectively). In conclusion, both low SUVmax and low NQO1 was an independent prognostic factor in SQCC alone. The sample size was small but there was a positive correlation between NQO1 expression and SUVmax in SQCC.
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Schaefer D, Schaefer L, Schaeffer J, Schaepe S, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Scharmberg N, Schegelsky VA, Scheirich D, Schenck F, Schernau M, Schiavi C, Schier S, 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, Schnoor U, Schoeffel L, Schoening A, Schopf E, Schott M, Schouwenberg JFP, Schovancova J, Schramm S, Schulte A, Schultz-Coulon HC, Schumacher M, Schumm BA, Schune P, Schwartzman A, Schwarz TA, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scornajenghi M, Scuri F, Scutti F, Scyboz LM, Sebastiani CD, Seema P, Seidel SC, Seiden A, Seiss T, Seixas JM, Sekhniaidze G, Sekhon K, Sekula SJ, Semprini-Cesari N, Sen S, Senkin S, Serfon C, Serin L, Serkin L, Sessa M, Severini H, Sforza F, Sfyrla A, Shabalina E, Shahinian JD, Shaikh NW, Shaked Renous D, Shan LY, Shang R, Shank JT, Shapiro M, Sharma AS, Sharma A, Shatalov PB, Shaw K, Shaw SM, Shcherbakova A, Shen Y, Sherafati N, 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 S, Shope DR, Shrestha S, Shulga E, Sicho P, Sickles AM, Sidebo PE, Sideras Haddad E, Sidiropoulou O, Sidoti A, Siegert F, Sijacki D, Silva M, Silva Oliveira MV, Silverstein SB, Simion S, Simioni E, Simon M, Simoniello R, Sinervo P, Sinev NB, Sioli M, Siral I, Sivoklokov SY, Sjölin J, 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, Snyder IM, Snyder S, Sobie R, Soffa AM, Soffer A, Søgaard A, Sohns F, Sokhrannyi G, 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, Sopkova F, Sotiropoulou CL, Sottocornola S, Soualah R, Soukharev AM, South D, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spieker TM, Spighi R, Spigo G, Spiller LA, Spina M, Spiteri DP, Spousta M, Stabile A, Stamas BL, Stamen R, Stamenkovic M, Stamm S, Stanecka E, Stanek RW, Stanislaus B, Stanitzki MM, Stankaityte M, Stapf B, Starchenko EA, Stark GH, Stark J, Stark SH, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Stegler M, Steinberg P, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stockton MC, Stoicea G, Stolarski M, Stolte P, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Suchek S, Sugaya Y, 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, Sydorenko A, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taenzer J, Taffard A, Tafirout R, Tahirovic E, Takai H, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tanaka J, Tanaka M, Tanaka R, Tannenwald BB, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AJ, Taylor GN, Taylor PTE, Taylor W, 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, Theveneaux-Pelzer T, Thiele F, Thomas DW, Thomas JO, Thomas JP, Thompson AS, Thompson PD, Thomsen LA, Thomson E, Tian Y, 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, Tomiwa KG, Tomoto M, Tompkins L, Toms K, Tong B, Tornambe P, Torrence E, Torres H, Torró Pastor E, Tosciri C, Toth J, Tovey DR, Treado CJ, Trefzger T, Tresoldi F, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trovatelli M, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tseng JCL, Tsiareshka PV, Tsirigotis A, Tsirintanis N, 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 RT, Tuts PM, Tzamarias S, Tzovara E, Ucchielli G, Ueda I, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Uno K, Urban J, Urquijo P, Usai G, Usui J, Vacavant L, 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, Vaniachine A, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vasquez GA, Vasquez JG, Vazeille F, Vazquez Furelos D, Vazquez Schroeder T, Veatch J, Vecchio V, 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, Vetterli MC, Viaux Maira N, Vicente Barreto Pinto M, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinogradov VB, Vishwakarma A, Vittori C, Vivarelli I, Vogel M, Vokac P, Volpi G, von Buddenbrock SE, Von Toerne E, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Šfiligoj T, Vuillermet R, Vukotic I, Ženiš T, Živković L, Wagner P, Wagner W, Wagner-Kuhr J, Wahlberg H, Wahrmund S, Wakamiya K, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wallangen V, Wang AM, 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, Washbrook A, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Webb S, 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, Werner P, Wessels M, Weston TD, Whalen K, Whallon NL, Wharton AM, White AS, White A, White MJ, White R, Whiteson D, Whitmore BW, Wickens FJ, Wiedenmann W, Wielers M, Wiglesworth C, Wiik-Fuchs LAM, Wilk F, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willis C, Willocq S, Wilson JA, Wingerter-Seez I, Winkels E, Winklmeier F, Winston OJ, Winter BT, Wittgen M, Wobisch M, Wolf A, Wolf TMH, Wolff R, Wölker RW, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xu D, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamanaka T, Yamane F, Yamatani M, Yamazaki T, Yamazaki Y, Yan Z, Yang HJ, Yang HT, Yang S, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yigitbasi E, Yildirim E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yue X, Yuen SPY, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaidan R, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Zerwas D, Zgubič M, Zhang DF, Zhang F, Zhang G, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Combination of Searches for Invisible Higgs Boson Decays with the ATLAS Experiment. PHYSICAL REVIEW LETTERS 2019; 122:231801. [PMID: 31298882 DOI: 10.1103/physrevlett.122.231801] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Indexed: 06/10/2023]
Abstract
Dark matter particles, if sufficiently light, may be produced in decays of the Higgs boson. This Letter presents a statistical combination of searches for H→invisible decays where H is produced according to the standard model via vector boson fusion, Z(ℓℓ)H, and W/Z(had)H, all performed with the ATLAS detector using 36.1 fb^{-1} of pp collisions at a center-of-mass energy of sqrt[s]=13 TeV at the LHC. In combination with the results at sqrt[s]=7 and 8 TeV, an exclusion limit on the H→invisible branching ratio of 0.26(0.17_{-0.05}^{+0.07}) at 95% confidence level is observed (expected).
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Lee SJ, Lin Y, Fang X, Yu LS, Jing YY. [The correlation between plasma fibrinogen level and different types of sudden sensorineural hearing loss]. LIN CHUANG ER BI YAN HOU TOU JING WAI KE ZA ZHI = JOURNAL OF CLINICAL OTORHINOLARYNGOLOGY, HEAD, AND NECK SURGERY 2019; 33:425-428. [PMID: 31163550 DOI: 10.13201/j.issn.1001-1781.2019.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Indexed: 11/12/2022]
Abstract
Objective: To investigate the correlation between plasma fibrinogen level and the incidence of sudden hearing loss. Method: A total of 225 patients (age ranging from 18 to 70 years) with sudden sensorineural hearing loss(SSNHL) were selected. The disease onset was within 2 weeks. No patient received previous medical intervention. Depending on the types of auditory threshold curve, SSNHL was divided into low frequency descending type, high frequency descending type, flat desending type and total deafness type. Two hundred and twenty-nine cases with normal hearing and no inflammatory diseases in the same period was selected as control group. Fibrinogen level and Blood Routine Indexes were detected for the purpose of retrospective cohort study.Result: The levels of fibrinogen in SSNHL group(2.98±0.59) g/L were significantly higher than that in control group(2.66±0.36) g/L (P<0.01). According to the types of auditory threshold curve, SSNHL groups were divided into group A(55 cases, 24.44%), Group B(36 cases, 16.00%), Group C(43 cases,19.11%) and Group D(91 cases, 40.44%). The average fibrinogen levels before treatment were at(2.75±0.46)g/L, (3.16±0.61) g/L, (3.02±0.63) g/L and(3.03±0.63) g/L respectively. There was no significant difference in fibrinogen level(P=0.286) between group A and the control group. Fibrinogen levels of group B, group C and group D were significantly elevated compared to control group (P<0.01). Conclusion: The level of fibrinogen is not significantly correlated with development of sudden deafness of low frequency descending type. The incidence of high frequency descending type, flat descending type and profound deafness type are all correlated with the level of high fibrinogen at the onset of sudden deafness. The classification of sudden deafness based on audiogram curves could be of great significance for analysis of possible causes and selection of treatment options.
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Lee JH, Kim HJ, Han KD, Han JH, Bang CH, Park YM, Lee JY, Lee SJ, Park YG, Lee YB. Incidence and prevalence of alopecia areata according to subtype: a nationwide, population-based study in South Korea (2006-2015). Br J Dermatol 2019; 181:1092-1093. [PMID: 31102412 DOI: 10.1111/bjd.18145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Park JY, Choi JE, Bae YK, Lee SJ. Abstract P2-08-53: Tumor elasticity and clinicopathologic factors affecting neoadjuvant chemotherapy response in breast cancer patients. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p2-08-53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Neoadjuvant chemotherapy for breast cancer has been increased. Many studies have reported on clinicopathologic factors to predict neoadjuvant chemotherapy response. Elastography, which is usually used to differentiate benign and malignant tumors, can be performed to evaluate tissue elasticity during conventional ultrasonography. The purpose of this study was to determine the clinicopathologic factors, including tumor elasticity, that affect neoadjuvant chemotherapy response in stage II or III breast cancer patients.
Methods: From April 2014 to March 2017, 95 patients received neoadjuvant chemotherapy for clinical stage IIa-IIIc primary breast cancer. To evaluate tumor elasticity, strain elastography was performed in 74 patients before neoadjuvant chemotherapy. Patients were divided into two groups by the Tsukuba elasticity scoring system (soft group ≤3 vs. hard group ≥4). Histologic type, nuclear grade, tumor infiltrating lymphocytes (TILs), tumor cellularity, characteristics of stroma, and hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status were evaluated using core needle biopsy specimens obtained before neoadjuvant chemotherapy. Pathologic complete response (pCR) was defined as the absence of invasive carcinoma in breast (ypT0 and ypTis) and axillary lymph node (ypN0). Residual cancer burden (RCB) was also calculated in 79 cases and the cases were categorized into 2 groups; favorable RCB group (RCB-0 and I) and unfavorable RCB group (RCB-II and III).
Results: The mean age of patients was 46.43±8.62 years (range, 27-71 years) and the mean initial tumor size was 3.63±1.95cm (range, 2.1-12.8cm). Twenty-four patients (32.4%) were categorized into the soft group and 50 patients (67.6%) into the hard group. The mean tumor cellularity on core needle biopsy specimens and characteristics of stroma were not significantly different between the two groups (p=0.35 and p=0.79, respectively). Twenty-two patients achieved pCR (23.2%). The patients with pCR were more likely to have estrogen receptor (ER) or progesterone receptor (PR) negative breast cancer (p=0.04 and p=0.03). The rate of nuclear grade 3 was higher in patients with pCR than those without (p=0.03). Tumor elasticity was not correlated with pCR (p=0.28). Thirty patients (38.0%) achieved favorable RCB and forty-nine patients (62.0%) had unfavorable RCB. Not only the rates of ER negativity (p=0.05), PR negativity (p=0.03), nuclear grade 3 (p=0.01), and high TILs level (≥ 10%) (p=0.04) but also the mean TILs level (p=0.05) were significantly higher in the favorable RCB group compared withthe unfavorable RCB group. No significant difference in tumor elasticity was observed between the two groups (p=0.30). In univariate analyses, nuclear grade 3 (p=0.03), and high TILs level (≥10%) (p=0.04) were significantly correlated with favorable RCB. HR negativity was an independent predictor of favorable RCB in multivariate analysis (odds ratio, 2.93; 95% confidence interval, 1.04-8.28; p=0.04).
Conclusion: Tumor elasticity was not associated with pCR or RCB. HR negativity was an independent predictor for favorable RCB.Nuclear grade and TILs were also potential predictive factors for neoadjuvant chemotherapy response.
Citation Format: Park JY, Choi JE, Bae YK, Lee SJ. Tumor elasticity and clinicopathologic factors affecting neoadjuvant chemotherapy response in breast cancer patients [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P2-08-53.
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Lee IH, Lee SJ, Lee J, Lee RK, Jung J, Park H, Lee SW, Chae YS. Abstract P6-02-08: SUV max of 18F FDG-PET/CT: A predictive factor associated with pathologic complete response in luminal HER2–negative breast cancer patients (receiving neoadjuvant chemotherapy). Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p6-02-08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose Neoadjuvant chemotherapy (NAC) is considered to be the standard of care for locally advanced breast cancer. When pathological complete response (pCR) is obtained with NAC it is a predictor of better outcome and often used as a surrogate for survival. However, response to NAC of luminal type breast cancer is variable and mostly limited. This study investigated the predictive relevance of several clinicopathological factors, including parameters of 18F FDG-PET/CT, on the pCR to NAC in patients with luminal HER2–negative breast cancer.
Methods From 2009 to 2015, 117 hormone receptor-positive, HER2-negative breast cancer patients who were treated with NAC followed by curative surgery at the Kyungpook National University Hospital (Daegu, Korea) were retrospectively analyzed. pCR was defined as the absence of cancer cells in breast and axillary node. 18F FDG-PET/CT maximum standardized uptake value (SUV max) was measured at baseline. Patients received from 6 to 8 cycles of anthracycline-based and taxane-based NAC.
Results The median age of the patients was 48 years (range-29-68 years). 104 patients (88.9%) were PR-positive, and forty-nine (41.9%) patients showed high ki-67 expression at initial diagnosis. After NAC, nine patients (7.7%) achieved pCR and patients who had high initial SUV max (≥ 9.09) achieved improved pCR rate compared to low initial SUV max (< 9.09) patients (77.8 % vs. 22.2%).
Conclusion In luminal HER2-negative breast cancer, 18F FDG-PET/CT SUV max was useful for predicting pathologic complete response after NAC
Table 1Characteristics of study populationMedian, range48 (29-68)Initial clinical T stage 1 2 3 48 (6.8) 83 (70.9) 19 (16.2) 7 (6.0)Initial clinical N stage 0 1 2 310 (8.5) 49 (41.9) 47 (40.2) 11 (9.4)Initial ER expression Negative (0-2) Weak (3-5) Strong (6-8)8 (6.8) 14 (12) 95 (81.2)Initial PR expression Negative (0-2) Weak (3-5) Strong (6-8)13 (11.1) 20 (17.1) 84 (71.8)Initial Ki-67 expression <14% ≥14% Not assessed55 (47) 49 (41.9) 13 (11.1)Pathologic T stage 0 I II III16 (13.7) 50 (42.7) 42 (35.9) 9 (7.7)Pathologic Stage (AJCC) pCR 1A 1B 2A 2B 3A 3C9 (7.7) 23 (19.7) 7 (6.0) 27 (23.1) 21 (17.9) 23 (19.7) 7 (6.0)Histologic grade 1 2 322 (18.8) 61 (52.1) 14 (12)Nuclear Grade 1 2 316 (13.7) 9 (7.7) 50 942.7)Pathologic complete response Yes9 (7.7)Recurrence18 (15.4)Death10 (8.5)table 2Association between pathologic complete response and clinicopathologic featuresFactorsPathologic CR NoPathologic CR YesP- valueAll patients108 (92.3)9 (7.7) Age <40 40-55 56-7016 (18.2) 54(61.4) 18 (20.5)2 (22.2) 6 (66.7) 1 (11.1)0.789Initial clinical T stage 1 2 3 48 (7.4) 76 (70.4) 7 (6.5) 17 (15.7)0 (0) 7 (77.8) 2 (22.2) 0 (0)0.676Initial ER expression Negative (0-2) Weak (3-5) Strong (6-8)7 (6.5) 12 (11.1) 89 (8.4)1 (11.1) 2 (22.2) 6 (66.7)0.504Initial PR expression Negative (0-2) Weak (3-5) Strong (6-8)11 (10.2) 20 (18.5) 77 (71.3)2 (22.2) 0 (0) 7 (77.8)0.247Initial Ki-67 expression <14% ≥14%52 (54.7) 43 (45.3)3 (33.3) 6 (66.7)0.301SUV max (tumor) < 9.09 ≥ 9.0972 (66.7) 36 (33.3)2 (22.2) 7 (77.8)0.012SUV max (axilla) < 6.08 ≥ 6.0858 (67.4) 28 (32.6)3 (42.9) 4 (57.1)0.228
Citation Format: Lee IH, Lee SJ, Lee J, Lee RK, Jung J, Park H, Lee S-w, Chae YS. SUV max of 18F FDG-PET/CT: A predictive factor associated with pathologic complete response in luminal HER2–negative breast cancer patients (receiving neoadjuvant chemotherapy) [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P6-02-08.
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Kim JY, Lee EJ, Park KH, Im SA, Kim SB, Sohn SH, Lee KS, Chae YS, Lee KH, Kim JH, Im YH, Kim TY, Lee KH, Ahn JH, Kim GM, Park IH, Lee SJ, Han HS, Kim SH, Jung KH, Park YH. Abstract P3-11-07: Exploratory biomarker analysis from a phase II, multicenter, randomized trial of eribulin plus gemcitabine(EG) versus paclitaxel plus gemcitabine(PG) as first-line chemotherapy for human epidermal growth factor receptor 2 (HER2)- negative metastatic breast cancer(MBC): Korean cancer study group trial (KCSG BR13-11). Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-11-07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction : A phase II, multicenter, randomized clinical trial of the comparison between eribulin plus gemcitabine (EG) and paclitaxel plus gemcitabine (PG) as first-line chemotherapy for patients with human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC) found EG was less neurotoxic, but had similar efficacy of PG. In this study, we performed exploratory biomarker analysis of the impact of genetic alterations on the efficacy according to EG and PG chemotherapy.
Methods : This biomarker study was conducted using tumor samples from 40patients. When tissue collection was possible after disease progression, we performed paired sample analysis. Tumor DNA and RNA were extracted from formalin-fixed, paraffin-embedded tissues. To perform targeted deep sequencing, we used CancerScanTM, a 375 cancer gene panel. And we performed an nCounter expression assay for gene expression analysis using 730 PanCancer panel and 730 Immune panel.
Results: In total, we obtained 44 tissue samples from 40 patients. Twenty two patients were assigned in EG arm and 18 patients were in PG arm. Thirty-eight were at baseline and six after disease progression. Gene expression assay were performed in 44 tissue samples but only 31 samples were possible to be targeted deep sequencing.
We performed differently expressed gene(DEG) analysis for detecting the association between level of gene expression and disease progression. In this analysis, high expression of CCNE1, TGFB4 and BAMBI and low expression of DDB2, CD14 and SHC3 were associated with disease progression among 730 PanCancer panel genes (p<0.05, respectively). In terms of immune panel genes, most of immune related genes were highly expressed in a group without disease progression compared with that with disease progression. Only 2 genes, C8G and CD24 were highly expressed in a group with disease progression. Paired sample analysis showed that expression levels of THBS4 and CD27 decreased after disease progression while those of CCNE2 and FGFR4 increased.
In targeted deep sequencing, FAT3 (42.3%) was most frequently mutated gene followed by PKHD1, PIK3CA and TP53. Among mutated genes, EWSR1 mutation and upstream mutation of ETV1 were associated with disease progression, respectively (p<0.05, respectively). In mutation signature analysis, signature 1 (S, age related), S3(homologous recombination deficiency, HRD), S6 (mismatch repair, MMR), S20(MMR) and S21(microsatellite instability, MSI) were enriched in this population. Mutation signature 3 related to short disease free survival (p=0.0026).
Conclusion: In gene expression analysis, high expression of TGF-B signaling pathway related genes was associated with disease progression while high expression of immune related genes were related to prolonged disease free survival. In mutation analysis, EWSR1 and ETV1 mutations indicated short disease free interval and HRD mutation signature was also related to poor prognosis.
Citation Format: Kim J-Y, Lee EJ, Park KH, Im S-A, Kim S-B, Sohn SH, Lee KS, Chae YS, Lee KH, Kim JH, Im Y-H, Kim T-Y, Lee K-H, Ahn J-H, Kim GM, Park IH, Lee SJ, Han HS, Kim SH, Jung KH, Park YH. Exploratory biomarker analysis from a phase II, multicenter, randomized trial of eribulin plus gemcitabine(EG) versus paclitaxel plus gemcitabine(PG) as first-line chemotherapy for human epidermal growth factor receptor 2 (HER2)- negative metastatic breast cancer(MBC): Korean cancer study group trial (KCSG BR13-11) [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-11-07.
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Chae YS, Baek DW, Lee IH, Lee SJ, Lee RK, Lee J, Jung J, Park H, Jeong JH, Kang J, Park J. Abstract P6-05-10: MicroRNA-137 inhibits cancer progression by targeting DEL-1 in triple negative breast cancer cells, MDA-MB-231. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p6-05-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: This study aimed to investigate the function of microRNA-137 in Del-1 expression in triple negative breast cancer (TNBC) cells and tissues.
Methods: The Del-1 mRNA and microRNA levels were measured using a qRT-PCR in breast cancer cells (MDA-MB-231, MCF7, SK-BR3, and T-47D) and tissues from 20 patients with TNBC. The effects of miR-137 on cell proliferation, migration, and invasion were determined using MTT, wound healing, and Matrigel Transwell assays.
Results: microRNA-137 (miR-137) levels were remarkably low and Del-1 mRNA expression was higher in MDA-MB-231 cells as compared to other breast cancer cell lines. The luciferase reporter assay revealed that miR-137 binds directly at the 3¢-UTR of Del-1 and that Del-1 expression was downregulated by miR-137 mimics and rescued by its inhibitors. Furthermore, miR-137 inhibited the cell proliferation, migration, and invasion of MDA-MB-231 cells. Moreover, among the 30 TNBC specimens, miR-137 was downregulated (p <0.0001) and the level of Del-1 in plasma was significantly elevated as compared to normal controls (p < 0.0001).
Conclusions: In conclusion, miR-137 regulates Del-1 expression in TNBC via directly binding to the Del-1 gene, and thereby affects cancer progression. This suggests that miR-137 may be a new therapeutic biomarker for patients with TNBC.
Keywords: Del-1, triple negative breast cancer, miR-137, biomarker
Citation Format: Chae YS, Baek DW, Lee IH, Lee SJ, Lee RK, Lee J, Jung J, Park H, Jeong J-H, Kang J, Park J. MicroRNA-137 inhibits cancer progression by targeting DEL-1 in triple negative breast cancer cells, MDA-MB-231 [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P6-05-10.
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Adam GO, Lee HR, Lee SJ, Kim SJ, Kim GB, Kang HS. Effects of acute lipopolysaccharide-induced toxemia model on some neglected blood parameters. Pol J Vet Sci 2019; 21:665-671. [PMID: 30605278 DOI: 10.24425/124304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The presence of lipopolysaccharide (LPS) in blood induces an inflammatory response which leads to multiple organ dysfunction and numerous metabolic disorders. Uncontrolled, improper or late intervention may lead to tissue hypoxia, anaerobic glycolysis and a disturbance in the acid -base balance. The effects of LPS-induced toxemia on biological and immunological markers were well studied. However, parameters such as base excess, ions, and acid-base balance were not fully investigated. Therefore, the objective of this study was to examine these blood parameters collectively in LPS-induced inflammatory toxemia in rat's model. After induction of toxemia by injecting LPS at a rate of 5 mg/kg body weight intravenously, blood was collected from the tail vein of twenty rats and immediately analyzed. After 24 hours, the animals were sacrificed and the blood was collected from the caudal vena cava. The results revealed that the levels of pH, bicar- bonate, partial pressure of oxygen, oxygen saturation, Alveolar oxygen, hemoglobin, hematocrit, magnesium (Mg2+), and calcium (Ca2+) were significantly decreased. On the other side, the levels of Base excess blood, Base excess extracellular fluid, partial pressure of carbon dioxide, lactate, Ca2+/Mg2+, potassium, and chloride were significantly increased compared to those found pre toxemia induction. However, sodium level showed no significant change. In conclusion, Acute LPS-toxemia model disturbs acid-base balance, blood gases, and ions. These parameters can be used to monitor human and animal toxemic inflammatory response induced by bacterial LPS conditions to assist in the management of the diagnosed cases.
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Aliberti MJR, Covinsky KE, Apolinario D, Lee SJ, Fortes-Filho SQ, Melo JA, Viana SSC, Suemoto CK, Jacob-Filho W. A 10-min Targeted Geriatric Assessment Predicts Mortality in Fast-Paced Acute Care Settings: A Prospective Cohort Study. J Nutr Health Aging 2019; 23:286-290. [PMID: 30820518 DOI: 10.1007/s12603-018-1152-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To estimate whether a 10-minute Targeted Geriatric Assessment (10-TaGA) adds utility to sociodemographic characteristics and comorbidities in predicting one-year mortality in busy acute care settings. We have also compared the performance of 10-TaGA with the Identification of Seniors at Risk (ISAR) scale. DESIGN Prospective cohort study. SETTING Geriatric day hospital specializing in acute care in Brazil. PARTICIPANTS 751 older adults aged 79.4 ± 8.4 years (64% female), presenting non-surgical, medical illness requiring hospital-level care (e.g., intravenous therapy, laboratory test, radiology) for ≤ 12 hours. MEASUREMENTS The 10-TaGA, an easy-to-administer screening tool based on the comprehensive geriatric assessment (CGA), provided a measure of cumulative deficits ranging from 0 (no deficits) to 1 (highest deficit) on admission. Standard risk factors, including sociodemographics (age, gender, ethnicity, income) and the Charlson comorbidity index, were evaluated. The ISAR, a well-validated screening tool, was used for comparison. RESULTS During one year of follow-up, 130 (17%) participants died. Compared to the ISAR, 10-TaGA offered better accuracy in identifying older patients at risk of death (area under the receiver operating characteristic curve: [AUC] 0.70 vs 0.65; P = 0.03). In a Cox regression model adjusted for sociodemographics and comorbidities, each 0.1 increment in the 10-TaGA score (range 0-1) was associated with increased mortality (hazard ratio = 1.42, 95% confidence interval 1.27-1.59). The addition of 10-TaGA markedly improved the discrimination of the model, which already incorporated standard risk factors (AUC 0.76 vs 0.71; P = 0.005); adding ISAR (AUC 0.73 vs 0.71; P = 0.09) did not have this marked effect. CONCLUSION The 10-TaGA is an independent predictor of one-year mortality in acute care patients. This multidimensional screening tool offers better accuracy than ISAR when differentiating between older people at low and high risk of death in healthcare settings where providers have limited time and resources.
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Bryce SD, Lee SJ, Ponsford JL, Lawrence RJ, Tan EJ, Rossell SL. The impact of intrinsic motivation on session attendance and reliable cognitive improvement in cognitive remediation in schizophrenia. Schizophr Res 2018; 202:354-360. [PMID: 29935884 DOI: 10.1016/j.schres.2018.06.028] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 03/09/2018] [Accepted: 06/10/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Cognitive remediation (CR) is considered a potentially effective method of improving cognitive function in people with schizophrenia. Few studies, however, have explored the role of intrinsic motivation on treatment utilization or training outcomes in CR in this population. This study explored the impact of task-specific intrinsic motivation on attendance and reliable cognitive improvement in a controlled trial comparing CR with a computer game (CG) playing control. METHODS Forty-nine participants with schizophrenia or schizoaffective disorder, allocated to 10 weeks of group-based CR (n = 25) or CG control (n = 24), provided complete outcome data at baseline. Forty-three participants completed their assigned intervention. Cognition, psychopathology and intrinsic motivation were measured at baseline and end-treatment. Regression analyses explored the relative contribution of baseline motivation and other clinical factors to session attendance as well as the association of baseline and change in intrinsic motivation with the odds of reliable cognitive improvement (calculated using reliable change indices). RESULTS Baseline reports of perceived program value were the only significant multivariable predictor of session attendance when including global cognition and psychiatric symptomatology. The odds of reliable cognitive improvement significantly increased with greater improvements in program interest and value from baseline to end-treatment. Motivational changes over time were highly variable between participants. CONCLUSION Task-specific intrinsic motivation in schizophrenia may represent an important patient-related factor that contributes to session attendance and cognitive improvements in CR. Regular evaluation and enhancement of intrinsic motivation in cognitively enhancing interventions may optimize treatment engagement and the likelihood of meaningful training outcomes.
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David D, Wertz V, Barrientos P, Allison T, Flint LA, Lee SJ, Ritchie C, Stephens C. USING THE CONSOLIDATED FRAMEWORK FOR IMPLEMENTATION RESEARCH (CFIR) TO GUIDE THE IMPLEMENTATION OF IMPACTT. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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