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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guo AQ, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang ZL, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li J, Li KJ, Li K, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tsednee B, Uman I, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XL, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Amplitude Analysis of D_{s}^{+}→π^{+}π^{0}η and First Observation of the W-Annihilation Dominant Decays D_{s}^{+}→a_{0}(980)^{+}π^{0} and D_{s}^{+}→a_{0}(980)^{0}π^{+}. PHYSICAL REVIEW LETTERS 2019; 123:112001. [PMID: 31573268 DOI: 10.1103/physrevlett.123.112001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/25/2019] [Indexed: 06/10/2023]
Abstract
We present the first amplitude analysis of the decay D_{s}^{+}→π^{+}π^{0}η. We use an e^{+}e^{-} collision data sample corresponding to an integrated luminosity of 3.19 fb^{-1} collected with the BESIII detector at a center-of-mass energy of 4.178 GeV. We observe for the first time the W-annihilation dominant decays D_{s}^{+}→a_{0}(980)^{+}π^{0} and D_{s}^{+}→a_{0}(980)^{0}π^{+}. We measure the absolute branching fraction B(D_{s}^{+}→a_{0}(980)^{+(0)}π^{0^{(}+)},a_{0}(980)^{+(0)}→π^{+(0)}η)=(1.46±0.15_{stat}±0.23_{sys})%, which is larger than the branching fractions of other measured pure W-annihilation decays by at least one order of magnitude. In addition, we measure the branching fraction of D_{s}^{+}→π^{+}π^{0}η with significantly improved precision.
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Shi Y, Chi J, Wang T, Cui D, Tang X, Ding M, Li P, Zhai B. Mid-term outcome of percutaneous thermal ablation for intrahepatic recurrent hepatocellular carcinoma after liver transplantation. Clin Radiol 2019; 74:735.e1-735.e7. [DOI: 10.1016/j.crad.2019.05.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/31/2019] [Indexed: 12/13/2022]
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Tang X, Gao J. [Advances in pathogenesis and treatment of Langerhans cell histiocytosis in children]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2019; 57:650-653. [PMID: 31352756 DOI: 10.3760/cma.j.issn.0578-1310.2019.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Wei R, Guo W, Yang R, Tang X, Yang Y, Ji T, Liang H. Reconstruction of the pelvic ring after total en bloc sacrectomy using a 3D-printed sacral endoprosthesis with re-establishment of spinopelvic stability: a retrospective comparative study. Bone Joint J 2019; 101-B:880-888. [PMID: 31256665 DOI: 10.1302/0301-620x.101b7.bjj-2018-1010.r2] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AIMS The aim of this study was to describe the use of 3D-printed sacral endoprostheses to reconstruct the pelvic ring and re-establish spinopelvic stability after total en bloc sacrectomy (TES) and to review its outcome. PATIENTS AND METHODS We retrospectively reviewed 32 patients who underwent TES in our hospital between January 2015 and December 2017. We divided the patients into three groups on the basis of the method of reconstruction: an endoprosthesis group (n = 10); a combined reconstruction group (n = 14), who underwent non-endoprosthetic combined reconstruction, including anterior spinal column fixation; and a spinopelvic fixation (SPF) group (n = 8), who underwent only SPF. Spinopelvic stability, implant survival (IS), intraoperative haemorrhage rate, and perioperative complication rate in the endoprosthesis group were documented and compared with those of other two groups. RESULTS The mean overall follow-up was 22.1 months (9 to 44). In the endoprosthesis group, the mean intraoperative hemorrhage was 3530 ml (1600 to 8100). Perioperative complications occurred in two patients; both had problems with wound healing. After a mean follow-up of 17.7 months (12 to 38), 9/10 patients could walk without aids and 8/10 patients were not using analgesics. Imaging evidence of implant failure was found in three patients, all of whom had breakage of screws and/or rods. Only one of these, who had a local recurrence, underwent re-operation, at which solid bone-endoprosthetic osseointegration was found. The mean IS using re-operation as the endpoint was 32.5 months (95% confidence interval 23.2 to 41.8). Compared with the other two groups, the endoprosthesis group had significantly better spinopelvic stability and IS with no greater intraoperative haemorrhage or perioperative complications. CONCLUSION The use of 3D-printed endoprostheses for reconstruction after TES provides reliable spinopelvic stability and IS by facilitating osseointegration at the bone-implant interfaces, with acceptable levels of haemorrhage and complications. Cite this article: Bone Joint J 2019;101-B:880-888.
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Ding M, Tang X, Cui D, Chi J, Shi Y, Wang T, Zhai B, Li P. Clinical outcomes of ultrasound-guided radiofrequency ablation for the treatment of primary papillary thyroid microcarcinoma. Clin Radiol 2019; 74:712-717. [PMID: 31253420 DOI: 10.1016/j.crad.2019.05.012] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 05/20/2019] [Indexed: 01/04/2023]
Abstract
AIM To evaluate the safety, efficacy, and long-term outcomes of ultrasound-guided radiofrequency ablation (RFA) for the treatment of primary papillary thyroid microcarcinoma (PTMC). MATERIALS AND METHODS A total of 37 patients with 38 PTMC nodules underwent RFA at a power of 20 W between September 2014 and December 2017. The clinical data of these patients were reviewed retrospectively and analysed. Imaging studies of the nodules were conducted, and the patients' thyroid function was assessed before RFA; 1, 3, 6, and 12 months after RFA; and every 6 months thereafter. The volumes and volume reduction rate (VRR) of the nodules were also calculated. RESULTS RFA with a low power of 20 W was used in the treatment of 37 patients with 38 PTMC nodules. All nodules achieved complete ablation, no complications occurred, and thyroid function was not affected. During follow-up, the volume of the nodules gradually decreased. Twelve months after ablation, the mean volumes of the nodules significantly decreased to 0.01±0.03 ml with a VRR of 99.34±3.49%. At a median follow-up of 6 (range: 1-18) months, 37 of the 38 nodules were completely absorbed, and no recurrence was observed in all 37 patients. CONCLUSIONS Low-power RFA showed good safety and promising efficacy outcomes for the treatment of PTMC. In addition to surgery and active surveillance, RFA may be an alternative treatment option for patients with PTMC.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savri M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Study of e^{+}e^{-}→γωJ/ψ and Observation of X(3872)→ωJ/ψ. PHYSICAL REVIEW LETTERS 2019; 122:232002. [PMID: 31298909 DOI: 10.1103/physrevlett.122.232002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 04/25/2019] [Indexed: 06/10/2023]
Abstract
We study the e^{+}e^{-}→γωJ/ψ process using 11.6 fb^{-1} e^{+}e^{-} annihilation data taken at center-of-mass energies from sqrt[s]=4.008 GeV to 4.600 GeV with the BESIII detector at the BEPCII storage ring. The X(3872) resonance is observed for the first time in the ωJ/ψ system with a significance of more than 5σ. The relative decay ratio of X(3872)→ωJ/ψ and π^{+}π^{-}J/ψ is measured to be R=1.6_{-0.3}^{+0.4}±0.2, where the first uncertainty is statistical and the second systematic (the same hereafter). The sqrt[s]-dependent cross section of e^{+}e^{-}→γX(3872) is also measured and investigated, and it can be described by a single Breit-Wigner resonance, referred to as the Y(4200), with a mass of 4200.6_{-13.3}^{+7.9}±3.0 MeV/c^{2} and a width of 115_{-26}^{+38}±12 MeV. In addition, to describe the ωJ/ψ mass distribution above 3.9 GeV/c^{2}, we need at least one additional Breit-Wigner resonance, labeled as X(3915), in the fit. The mass and width of the X(3915) are determined. The resonant parameters of the X(3915) agree with those of the Y(3940) in B→KωJ/ψ and of the X(3915) in γγ→ωJ/ψ observed by the Belle and BABAR experiments within errors.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang P, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of the Decay X(3872)→π^{0}χ_{c1}(1P). PHYSICAL REVIEW LETTERS 2019; 122:202001. [PMID: 31172749 DOI: 10.1103/physrevlett.122.202001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 04/15/2019] [Indexed: 06/09/2023]
Abstract
Using a total of 9.0 fb^{-1} of e^{+}e^{-} collision data with center-of-mass energies between 4.15 and 4.30 GeV collected by the BESIII detector, we search for the processes e^{+}e^{-}→γX(3872) with X(3872)→π^{0}χ_{cJ} for J=0, 1, 2. We report the first observation of X(3872)→π^{0}χ_{c1}, a new decay mode of the X(3872), with a statistical significance of more than 5σ for all systematic fit variations. Normalizing to the previously established process e^{+}e^{-}→γX(3872) with X(3872)→π^{+}π^{-}J/ψ, we find B(X(3872)→π^{0}χ_{c1})/B(X(3872)→π^{+}π^{-}J/ψ)=0.88_{-0.27}^{+0.33}±0.10, where the first error is statistical and the second is systematic. We set 90% confidence level upper limits on the corresponding ratios for the decays to π^{0}χ_{c0} and π^{0}χ_{c2} of 19 and 1.1, respectively.
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Tang X, Gong F, Yu B. Letter to Editor regarding "Comparison between single portal endoscopic and 1-cm open carpal tunnel release": Could the 1-cm open carpal tunnel release surgery miss space-occupying lesions? HAND SURGERY & REHABILITATION 2019; 38:276-277. [PMID: 31077868 DOI: 10.1016/j.hansur.2019.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Accepted: 04/17/2019] [Indexed: 12/31/2022]
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Li Q, Tang X, Lu S, Wu J. Composition and tocopherol, fatty acid, and phytosterol contents in micro-endosperm ultra-high oil corn. GRASAS Y ACEITES 2019. [DOI: 10.3989/gya.0822182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
China has developed a new oil crop, micro-endosperm ultra-high oil corn, approved by the government in 2011 and named Huajian No. 1 (HJ-1). This study analyzed the nutrients in HJ-1 cold-pressed whole-seed oil, their composition and contents in tocopherols, fatty acids, and phytosterols and compares them with those of seven selected vegetable oils. HJ-1 oil contained α-, β-, γ-, and δ-tocopherol, with contents of 433.25 ± 0.13, 26.27 ± 0.08, 570.69 ± 0.27, and 38.41 ± 0.005 mg/kg, respectively, the highest nutritional values among the vegetable oils studied, except for soybean and palm oils. Gas chromatography was used for fatty acid analysis and seven were detected, with the main ones being palmitic, oleic, and linoleic acids. In HJ-1, the ratio of oleic to linoleic acid was close to 1:1, and b-sitosterol, campesterol, and stigmasterol were present with contents of 254.20 ± 0.11, 108.91 ± 0.19, and 105.67 ± 0.58 mg/kg, respectively.
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Li X, Zong Q, Ren R, Zhang Y, Tan L, Li T, Pei X, Zhou J, Tang X. Effect of Altitude on Apnea Hypopnea Index and Heart Rate Variability During Sleep in Healthy Subjects. B65. SRN: DIAGNOSIS AND MONITORING OF SLEEP AND SLEEP DISORDERS 2019. [DOI: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a3891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An F, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Bennett J, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chai J, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen J, Chen M, Chen S, Chen Y, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai J, Dai X, Dbeyssi A, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dou Z, Du S, Fan J, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Fritsch M, Fu C, Fu Y, Gao Q, Gao X, Gao Y, Gao Y, Gao Y, Gao Z, Garillon B, Garzia I, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han S, Hao X, Harris F, He K, Heinsius F, Held T, Heng Y, Himmelreich M, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang J, Huang X, Huang X, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji Q, Ji X, Ji X, Jiang H, Jiang X, Jiang X, Jiao J, Jiao Z, Jin D, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth M, Kühn W, Lange J, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li D, Li F, Li F, Li G, Li H, Li H, Li J, Li J, Li K, Li L, Li L, Li P, Li P, Li Q, Li W, Li W, Li X, Li X, Li X, Li Z, Li Z, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Lin C, Lin D, Lin Y, Liu B, Liu B, Liu C, Liu D, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu K, Liu K, Liu L, Liu Q, Liu S, Liu T, Liu X, Liu X, Liu Y, Liu Z, Liu Z, Long Y, Lou X, Lu H, Lu J, Lu J, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lusso S, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma X, Ma X, Ma X, Ma Y, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min J, Min T, Mitchell R, Mo X, Mo Y, Morales CM, Muchnoi N, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Niu S, Olsen S, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pitka A, Poling R, Prasad V, Qi H, Qi M, Qi T, Qian S, Qiao C, Qin N, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan X, Shao M, Shen C, Shen P, Shen X, Sheng H, Shi X, Shi XD, Song J, Song Q, Song X, Sosio S, Sowa C, Spataro S, Sui F, Sun G, Sun J, Sun L, Sun S, Sun X, Sun Y, Sun YK, Sun Y, Sun Z, Sun Z, Tan Y, Tang C, Tang G, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang B, Wang C, Wang D, Wang K, Wang L, Wang L, Wang M, Wang M, Wang M, Wang P, Wang R, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Weber T, Wei D, Weidenkaff P, Wen H, Wen S, Wiedner U, Wilkinson G, Wolke M, Wu L, Wu L, Wu Z, Xia L, Xia Y, Xiao S, Xiao Y, Xiao Z, Xie Y, Xie Y, Xing T, Xiong X, Xiu Q, Xu G, Xu J, Xu L, Xu Q, Xu W, Xu X, Yan F, Yan L, Yan W, Yan W, Yan Y, Yang H, Yang H, Yang L, Yang R, Yang S, Yang Y, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu J, Yu T, Yuan C, Yuan X, Yuan Y, Yuncu A, Zafar A, Zeng Y, Zhang B, Zhang B, Zhang C, Zhang D, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang K, Zhang L, Zhang S, Zhang T, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhou L, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu J, Zhu K, Zhu K, Zhu S, Zhu W, Zhu X, Zhu Y, Zhu Y, Zhu Z, Zhuang J, Zou B, Zou J. First observations of
hc→hadrons. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.99.072008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Ablikim M, Achasov M, Ahmed S, Albrecht M, Amoroso A, An F, An Q, Bai J, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Bennett D, Bennett J, Berger N, Bertani M, Bettoni D, Bian J, Bianchi F, Boger E, Boyko I, Briere R, Cai H, Cai X, Cakir O, Calcaterra A, Cao G, Cetin S, Chai J, Chang J, Chelkov G, Chen G, Chen H, Chen J, Chen M, Chen P, Chen S, Chen X, Chen Y, Chu X, Cibinetto G, Dai H, Dai J, Dbeyssi A, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dou Z, Du S, Duan P, Fang J, Fang S, Fang X, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng C, Fioravanti E, Fritsch M, Fu C, Gao Q, Gao X, Gao Y, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu M, Gu S, Gu Y, Guo A, Guo L, Guo R, Guo Y, Haddadi Z, Han S, Hao X, Harris F, He K, He X, Heinsius F, Held T, Heng Y, Holtmann T, Hou Z, Hu C, Hu H, Hu T, Hu Y, Huang G, Huang J, Huang X, Huang X, Huang Z, Hussain T, Ikegami Andersson W, Ji Q, Ji Q, Ji X, Ji X, Jiang X, Jiang X, Jiao J, Jiao Z, Jin D, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang X, Kang X, Kavatsyuk M, Ke B, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu O, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kuhlmann M, Kupsc A, Kühn W, Lange J, Lara M, Larin P, Lavezzi L, Leiber S, Leithoff H, Leng C, Li C, Li C, Li D, Li F, Li F, Li G, Li H, Li H, Li J, Li J, Li K, Li K, Li K, Li L, Li P, Li P, Li Q, Li T, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang Y, Liang Y, Liao G, Lin D, Liu B, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu P, Liu Q, Liu S, Liu X, Liu Y, Liu Z, Liu Z, Long Y, Lou X, Lu H, Lu J, Lu Y, Lu Y, Luo C, Luo M, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma T, Ma X, Ma X, Ma Y, Maas F, Maggiora M, Malik Q, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min J, Min T, Mitchell R, Mo X, Mo Y, Morales Morales C, Morello G, Muchnoi N, Muramatsu H, Musiol P, Mustafa A, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Niu S, Niu X, Olsen S, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pitka A, Poling R, Prasad V, Qi H, Qi M, Qian S, Qiao C, Qin N, Qin X, Qin Z, Qiu J, Qu Z, Rashid K, Redmer C, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Ruan X, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen C, Shen P, Shen X, Sheng H, Song J, Song W, Song X, Sosio S, Sowa C, Spataro S, Sun G, Sun J, Sun L, Sun S, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Sun Z, Tang C, Tang G, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner G, Wang B, Wang B, Wang D, Wang D, Wang D, Wang K, Wang L, Wang L, Wang M, Wang M, Wang P, Wang P, Wang W, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wang Z, Weber T, Wei D, Weidenkaff P, Wen S, Wiedner U, Wolke M, Wu L, Wu L, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao H, Xiao Y, Xiao Z, Xie Y, Xie Y, Xiong X, Xiu Q, Xu G, Xu J, Xu L, Xu Q, Xu Q, Xu X, Yan L, Yan W, Yan W, Yan W, Yan Y, Yang H, Yang H, Yang L, Yang Y, Yang Y, Yang Y, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu J, Yuan C, Yuan Y, Yuncu A, Zafar A, Zallo A, Zeng Y, Zeng Z, Zhang B, Zhang B, Zhang C, Zhang D, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang K, Zhang K, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng W, Zheng Y, Zhong B, Zhou L, Zhou X, Zhou X, Zhou X, Zhou X, Zhou Y, Zhu J, Zhu J, Zhu K, Zhu K, Zhu S, Zhu S, Zhu X, Zhu Y, Zhu Y, Zhu Z, Zhuang J, Zou B, Zou J. Search for baryon and lepton number violation in
J/ψ→Λc+e−+c.c.. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.99.072006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li KJ, Li K, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tiemens M, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang D, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Precision Measurement of the Branching Fractions of η^{'} Decays. PHYSICAL REVIEW LETTERS 2019; 122:142002. [PMID: 31050481 DOI: 10.1103/physrevlett.122.142002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Indexed: 06/09/2023]
Abstract
Based on a sample of (1310.6±7.0)×10^{6}J/ψ events collected with the BESIII detector, we present measurements of J/ψ and η^{'} absolute branching fractions using the process J/ψ→γη^{'}. By analyzing events where the radiative photon converts into an e^{+}e^{-} pair, the branching fraction for J/ψ→γη^{'} is measured to be (5.27±0.03±0.05)×10^{-3}. The absolute branching fractions of the five dominant decay channels of the η^{'} are then measured for the first time and are determined to be B(η^{'}→γπ^{+}π^{-})=(29.90±0.03±0.55)%, B(η^{'}→ηπ^{+}π^{-})=(41.24±0.08±1.24)%, B(η^{'}→ηπ^{0}π^{0})=(21.36±0.10±0.92)%, B(η^{'}→γω)=(2.489±0.018±0.074)%, and B(η^{'}→γγ)=(2.331±0.012±0.035)%, where the first uncertainties are statistical and the second systematic.
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Zhang K, Li C, Liu J, Tang X, Li Z. DNA methylation alterations as therapeutic prospects in thyroid cancer. J Endocrinol Invest 2019; 42:363-370. [PMID: 29992502 DOI: 10.1007/s40618-018-0922-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 06/29/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Thyroid cancer is one of the most common endocrine malignancies. Although the 10-year survival rate of differentiated thyroid cancer (DTC) is about 90% after conventional treatments, a small proportion of patients still suffer from tumor recurrence or drug resistance. OBJECTIVE This review article summarizes recent researches and clinical trials related to target drugs that reduce mortality in thyroid cancer. METHODS This is a review of the recent literature and clinical trials on the three main aspects including methylation genes in thyroid cancers, the relationship between BRAF mutation and gene methylation, target and dehypermethylation drugs in clinical trials. RESULTS We propose new approaches to treating malignant thyroid cancer, based on advances in understanding the relationship between genetic and epigenetic changes in thyroid cancer. Although the effect of traditional treatment for thyroid cancer is relatively good, a small proportion of patients still suffer from tumor recurrence or drug resistance. Molecular targeted drugs and dehypermethylation drugs have more promising outcomes in aggressive thyroid cancer compared with conventional treatments. CONCLUSION Based on what was discussed in this review, we suggest that integration of epigenetic and targeted therapies into conventional treatments will reduce the occurrence of refractory radioiodine differentiated thyroid cancer and improve the outcomes in aggressive thyroid cancer patients.
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Hu J, Yan J, Zheng X, Zhang Y, Ran Q, Tang X, Shu T, Shen R, Duan L, Zhang D, Guo Q, Zhang W, Yang H, Li S. Magnetic resonance spectroscopy may serve as a presurgical predictor of somatostatin analog therapy response in patients with growth hormone-secreting pituitary macroadenomas. J Endocrinol Invest 2019; 42:443-451. [PMID: 30171531 DOI: 10.1007/s40618-018-0939-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 08/06/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE Somatostatin analogs (SSAs) are considered one of the most effective medical treatments for patients with growth hormone-secreting pituitary adenomas (GH-PAs). The postoperative electron microscopy (EM) pathological subtype and SSTR2 expression in the tumor are the most established predictors of patient response to SSA therapy. The aim of this study was to evaluate how will magnetic resonance spectroscopy (MRS) measurements before surgery predict the EM pathological subtypes and SSTR2 expression of tumors, and thereby serve as an indicator for the therapeutic sensitivity to SSAs of patients with GH-PAs. METHODS Eighteen patients with GH pituitary macroadenomas who underwent transsphenoidal surgery were included in this retrospective study. The preoperative MRS data and T2 signal intensity were obtained from patients by 1.5 T MR spectroscopy of the sellar mass. The EM pathological subtypes of tumors were determined after surgery through examination of cell granulations. The expressions of somatostatin receptor 2 (SSTR2), SSTR5, P21, P27, and Ki-67 were evaluated by immunohistochemistry. RESULTS The MRS parameters that were found to significantly predict the EM pathological subtypes of tumors, as calculated by the receiver operating characteristic curve, were the choline (Ch) value at 3140.5 MR units (sensitivity 69.2%, specificity 100%) and the choline/creatine (Ch/Cr) ratio at 1.27 (sensitivity 92.3%, specificity 100%). Further, the Ch/Cr ratio, but not other MRS data, was shown to negatively correlate with the expression of SSTR2 (P = 0.02). The Ch/Cr ratio was also found to positively correlate with the Ki-67 value (P < 0.05) and T2 signal (P < 0.05), but not with other factors that were examined in this study. Moreover, the Ch/Cr ratio could predict the EM pathological subtypes of tumors with an accuracy of 83.3% (5/6) for patients with an isointense T2 signal. CONCLUSION The Ch/Cr ratio by MRS could effectively predict the tumor subtype and was significantly correlated with the expression of SSTR2, which was consistent with other predictors. It was also able to distinguish the patients with isointense T2 signals. Our results provide a potentially new and non-invasive method to predict the response to SSAs in patients with GH pituitary macroadenomas.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tiemens M, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of the Dynamics of the Decays D_{s}^{+}→η^{(')}e^{+}ν_{e}. PHYSICAL REVIEW LETTERS 2019; 122:121801. [PMID: 30978074 DOI: 10.1103/physrevlett.122.121801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 02/27/2019] [Indexed: 06/09/2023]
Abstract
Using e^{+}e^{-} annihilation data corresponding to an integrated luminosity of 3.19 fb^{-1} collected at a center-of-mass energy of 4.178 GeV with the BESIII detector, we measure the absolute branching fractions B_{D_{s}^{+}→ηe^{+}ν_{e}}=(2.323±0.063_{stat}±0.063_{syst})% and B_{D_{s}^{+}→η^{'}e^{+}ν_{e}}=(0.824±0.073_{stat}±0.027_{syst})% via a tagged analysis technique, where one D_{s} is fully reconstructed in a hadronic mode. Combining these measurements with previous BESIII measurements of B_{D^{+}→η^{(')}e^{+}ν_{e}}, the η-η^{'} mixing angle in the quark flavor basis is determined to be ϕ_{P}=(40.1±2.1_{stat}±0.7_{syst})°. From the first measurements of the dynamics of D_{s}^{+}→η^{(')}e^{+}ν_{e} decays, the products of the hadronic form factors f_{+}^{η^{(')}}(0) and the Cabibbo-Kobayashi-Maskawa matrix element |V_{cs}| are determined with different form factor parametrizations. For the two-parameter series expansion, the results are f_{+}^{η}(0)|V_{cs}|=0.4455±0.0053_{stat}±0.0044_{syst} and f_{+}^{η^{'}}(0)|V_{cs}|=0.477±0.049_{stat}±0.011_{syst}.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen YB, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kuhlmann M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leiber S, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu K, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Morello G, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao H, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YH, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YX, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Evidence of a Resonant Structure in the e^{+}e^{-}→π^{+}D^{0}D^{*-} Cross Section between 4.05 and 4.60 GeV. PHYSICAL REVIEW LETTERS 2019; 122:102002. [PMID: 30932669 DOI: 10.1103/physrevlett.122.102002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 02/10/2019] [Indexed: 06/09/2023]
Abstract
The cross section of the process e^{+}e^{-}→π^{+}D^{0}D^{*-} for center-of-mass energies from 4.05 to 4.60 GeV is measured precisely using data samples collected with the BESIII detector operating at the BEPCII storage ring. Two enhancements are clearly visible in the cross section around 4.23 and 4.40 GeV. Using several models to describe the dressed cross section yields stable parameters for the first enhancement, which has a mass of 4228.6±4.1±6.3 MeV/c^{2} and a width of 77.0±6.8±6.3 MeV, where the first uncertainties are statistical and the second ones are systematic. Our resonant mass is consistent with previous observations of the Y(4220) state and the theoretical prediction of a DD[over ¯]_{1}(2420) molecule. This result is the first observation of Y(4220) associated with an open-charm final state. Fits with three resonance functions with additional Y(4260), Y(4320), Y(4360), ψ(4415), or a new resonance do not show significant contributions from either of these resonances. The second enhancement is not from a single known resonance. It could contain contributions from ψ(4415) and other resonances, and a detailed amplitude analysis is required to better understand this enhancement.
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Long J, Qu T, Pan XF, Tang X, Wan HH, Qiu P, Xu YH. Expression of programmed death ligand-1 and programmed death 1 in hepatocellular carcinoma and its clinical significance. J Cancer Res Ther 2019; 14:S1188-S1192. [PMID: 30539869 DOI: 10.4103/0973-1482.204850] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Objective To investigate the correlation between the expression of programmed death 1 (PD-1) and PD ligand-1 (PD-L1) in hepatocellular carcinoma (HCC) and clinical parameters. Materials and Methods The study comprised tumor sections from 45 HCC patients treated with curative resection, which were evaluated for PD-1 and PD-L1 protein expression by immunohistochemistry. Results PD-1 and PD-L1 expression was increased in cancers compared to adjacent normal tissues, with a positive rate of 37.78% (17/45) and 62.22% (28/45), respectively, which was positively correlated with the tumor stage and lymph node metastasis, negatively with postoperative prognosis. PD-1 positivity was most frequently observed in stromal tumor-infiltrating lymphocytes. The number of PD-1 positive lymphocyte was correlated with PD-L1 positive expression. Conclusion PD-L1 and PD-1 are overexpressed in HCC tissues. PD-L1 expression plays a critical role in the pathogenesis of human HCC, suggesting that it might be used as a new biomarker to predict the disease progression and prognosis.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen YB, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Andersson WI, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Morello G, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang CW, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang SL, Yang YH, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Determination of the Pseudoscalar Decay Constant f_{D_{s}^{+}} via D_{s}^{+}→μ^{+}ν_{μ}. PHYSICAL REVIEW LETTERS 2019; 122:071802. [PMID: 30848637 DOI: 10.1103/physrevlett.122.071802] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/18/2019] [Indexed: 06/09/2023]
Abstract
Using a 3.19 fb^{-1} data sample collected at an e^{+}e^{-} center-of-mass energy of E_{cm}=4.178 GeV with the BESIII detector, we measure the branching fraction of the leptonic decay D_{s}^{+}→μ^{+}ν_{μ} to be B_{D_{s}^{+}→μ^{+}ν_{μ}}=(5.49±0.16_{stat}±0.15_{syst})×10^{-3}. Combining our branching fraction with the masses of the D_{s}^{+} and μ^{+} and the lifetime of the D_{s}^{+}, we determine f_{D_{s}^{+}}|V_{cs}|=246.2±3.6_{stat}±3.5_{syst} MeV. Using the c→s quark mixing matrix element |V_{cs}| determined from a global standard model fit, we evaluate the D_{s}^{+} decay constant f_{D_{s}^{+}}=252.9±3.7_{stat}±3.6_{syst} MeV. Alternatively, using the value of f_{D_{s}^{+}} calculated by lattice quantum chromodynamics, we find |V_{cs}|=0.985±0.014_{stat}±0.014_{syst}. These values of B_{D_{s}^{+}→μ^{+}ν_{μ}}, f_{D_{s}^{+}}|V_{cs}|, f_{D_{s}^{+}} and |V_{cs}| are each the most precise results to date.
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Leon-Ferre RA, Polley MY, Liu H, Kalari KR, Boughey JC, Liu MC, Cafourek V, Negron V, Ingle JN, Thompson KJ, Tang X, Barman P, Carlson E, Visscher DW, Carter JC, Couch FJ, Goetz MP. Abstract P3-08-01: Characteristics, outcomes and prognostic factors of luminal androgen receptor (LAR) triple-negative breast cancer (TNBC). Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-08-01] [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: The LAR subtype is a genomically distinct subset of TNBC. Using a large cohort of non-metastatic TNBC patients (pts) with long term follow-up, we sought to further characterize the clinicopathologic features and outcomes of LAR vs non-LAR TNBC.
Methods: From a cohort of 9982 women with surgically-treated non-metastatic breast cancer, 605 met criteria for TNBC (ER/PR<1% and HER2-negative) by central pathology. RNA extracted from 304 FFPE tumor specimens using the HighPure RNA extraction kit was subjected to TruSeq RNA Access library preparation and sequencing on a HiSeq2500. Adequate RNA was available for 283 pts. Tumors were classified as LAR or non-LAR using a shrunken centroid model, CABAL (Clustering Among BAsal and Luminal androgen receptor). In addition to previously described analyses [Leon-Ferre et al, Breast Cancer Res Treat 2017], immunohistochemical (IHC) androgen receptor (AR) staining was performed and the impact of various parameters on invasive disease-free survival (IDFS) and overall survival (OS) was assessed using Cox proportional hazards models.
Results: 58 (20%) tumors were classified as LAR and 225 (80%) as non-LAR. Compared to non-LAR, LAR pts were older (mean age 65 vs 54) and more often postmenopausal (79%vs53%), both p=0.01. Apocrine histology was more common among LAR tumors (21%vs0%), which were also lower grade (grade3: 69%vs95%) and had lower Ki-67 (Ki-67>15%: 64%vs82%), all p<0.01. Additionally, LAR tumors had lower median stromal tumor infiltrating lymphocytes (TILs, 20%vs25%) and were less frequently lymphocyte-predominant [≥50% stromal or intratumoral TILs (19%vs32%)], although neither reached statistical significance. AR IHC was available for 223 of 283 tumors. Median AR IHC score in LAR was 65% (range 0-100%) vs 0% (range 0-90%) in non-LAR. T/N stage, surgery type, and receipt of adjuvant chemotherapy (AdjCT) or radiotherapy were similar between LAR and non-LAR. LAR pts had shorter IDFS and OS compared to non-LAR (5.6 vs 11.8 yrs and 10.8 vs 20.8 yrs, respectively), although this did not reach statistical significance. Test of proportional hazard assumption was not significant for IDFS or OS (p = 0.30 and 0.09). IDFS estimates were numerically higher in LAR vs non-LAR (80.2%vs70.5%,p = 0.92) at 3yrs post-diagnosis; whereas the opposite was true (40.9%vs55.6%,p = 0.07) after 10yrs. OS estimates at 3 and 5yrs were similar between LAR and non-LAR, but at 10yrs OS was inferior in LAR (40.9%vs66.4%,p = 0.24). In a univariate analysis including both LAR and non-LAR, older age, higher N stage, lower TILs and absence of AdjCT were associated with poorer IDFS and OS. In a multivariate analysis, higher N stage and absence of AdjCT remained associated with both poorer IDFS and OS; while lower stromal TILs were associated with poorer IDFS (p=0.01), and with a trend towards poorer OS (p=0.07).
Conclusions: LAR TNBCs occurred in older women, were lower grade, and had lower TIL density than nonLAR tumors. While significant differences in IDFS or OS were not demonstrated, LAR pts exhibited a numerically lower risk of a disease event at 3yrs, but higher risk by 10yrs compared to nonLAR pts. In the entire cohort, higher N stage, absence of AdjCT and lower TILs were independently associated with poorer outcomes.
Citation Format: Leon-Ferre RA, Polley M-Y, Liu H, Kalari KR, Boughey JC, Liu MC, Cafourek V, Negron V, Ingle JN, Thompson KJ, Tang X, Barman P, Carlson E, Visscher DW, Carter JC, Couch FJ, Goetz MP. Characteristics, outcomes and prognostic factors of luminal androgen receptor (LAR) triple-negative breast cancer (TNBC) [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 P3-08-01.
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Ladha FA, Kai K, Lu W, Yang F, Tang X, Wistuba II, Sen S, Thompson A. Abstract P3-08-08: SOX11 is a potential prognostic marker of high-risk breast ductal carcinoma in situ. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-08-08] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Ductal carcinoma in situ (DCIS) comprises 20-25% of screen-detected breast cancers and, like invasive ductal carcinoma (IDC), is heterogenous in terms of the underlying biology, presentation, and outcome. While there are limited potential biomarkers of outcome for DCIS, estrogen receptor (ER)- positive, progesterone receptor (PR)- positive, and HER2- negative DCIS appears to have a better prognosis compared to ER- negative, PR- negative, and HER2- positive DCIS. The aim of this study was to identify additional clinically relevant markers to stratify DCIS according to risk of relapse or progression to invasive disease. In order to determine the driver genes involved in DCIS evolution, we utilized transcriptional data sets (GSE788, GSE16873), containing data from both normal mammary glands (NMG) and DCIS. Upon performing class comparison (NMG vs DCIS), we identified 297 over-expressed genes and 187 under-expressed genes. The over-expressed genes represented mitotic and proliferative features annotated as mitotic spindle and condensed chromosomes, while the under-expressed genes were associated with loss of epithelial features annotated as epithelial cell differentiation and development. The 484 differentially expressed genes were further correlated with recurrence events using Kessler's breast cancer data set to identify genes contributing to the aggressive features across IDC and subsequently associated with DCIS. Genes correlating with recurrence events were selected. Of the 484 genes, 99 genes were found to be significantly associated with recurrence events of IDC (with P<0.003). Among these 99 genes, component genes of the Oncotype DCIS score and genes reported as relevant to DCIS biology were included for Nanostring transcriptomic analysis. The final number of genes-of-interest were 58, including 5 housekeeping genes. 40 DCIS lesions and 8 NMG tissue were macro- dissected from formalin- fix paraffin- embedded blocks (FFPE) and extracted transcripts were subjected for Nanostring analysis. Gene expression data was clustered in an unsupervised manner using R software. Two sample clusters were identified: an ER/PR- negative cluster and an ER/PR- positive cluster. Over-expression of transcription factor SOX11, along with HER2, was exclusively seen in the ER/PR- negative cluster. This cluster was further categorized into HER2-low/SOX11+ and HER2-high/SOX11+ groups. These RNA expression findings are undergoing confirmation by immunohistochemistry (IHC) of the FFPE tumor sections. An independent series of 15 DCIS cases that have recurred as DCIS or progressed to IDC were analyzed by IHC, revealing SOX11 expression only present in cases displaying a high proportion of HER2+ expression. SOX11 is exclusively expressed in ER/PR-negative DCIS and is a candidate clinical marker for recurrence of DCIS or progression to IDC.
Citation Format: Ladha FA, Kai K, Lu W, Yang F, Tang X, Wistuba II, Sen S, Thompson A. SOX11 is a potential prognostic marker of high-risk breast ductal carcinoma in situ [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 P3-08-08.
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Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Lin Y, Tao H, Tang X, Du X, Yu C. Abstract P1-02-10: Early stage breast cancer screening using an emerging novel liquid biopsy screening technology. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-02-10] [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: An emerging novel liquid biopsy technology called Cancer Differentiation Analysis (CDA) has been evaluated as a viable early stage breast cancer screening tool. CDA technology is a blood-sample based, multi-level, multi-parameter diagnostic method which detects signals from both protein, cellular, and to some extent, molecular levels, in which multiple aspects of information can be collected to improve diagnostic accuracy, even for early stage of cancer. Improving capability to screen breast cancer is an important on-going research effort, as breast cancer represents a leading cancer with high incidence rate.
Methods: In this single-blind study, 22 breast cancer patients and 25 healthy individuals were recruited at Changhai Hospital of Shanghai. Histopathological examination results of breast cancer patients were collected, 22 cases were diagnosed as infiltrating ductal carcinoma of breast, of which 10 patients were stage I breast cancer. 25 individuals were confirmed healthy after physical examinations. Peripheral blood was drawn in EDTA tubes For CDA tests. CDA data of 22 breast cancer patients and 25 healthy individuals were conducted using SPSS, and the results were shown in the table below.
Results: The average CDA of breast cancer, stageIbreast cancer, and controls were 43.20, 44.17 and 36.17 (rel. units) respectively as shown in Table 1. Both breast cancer and stage I breast cancer could be significantly distinguished from the control (p = 0.000, p = 0.001, respectively). For stage I breast cancer vs. control group, Area under ROC curve was 0.876, sensitivity and specificity were both 80.0% (Table 2). In contrast to traditional breast cancer screening methodologies which have relatively low sensitivity and high false positives for stage I detection, often with radiation side effects and high costs, advantages of CDA technology include ability to detect early stage cancer with relatively high sensitivity and specificity, and it is also highly cost effective without side effects.
Conclusions: Initial results showed that CDA technology could effectively distinguish stageIbreast cancer from healthy individuals, CDA could be a potential candidate for breast cancer screening.
Table 1Summary of CDA test resultsGroupSample SizeAge RangeAge MeanAge MedianCDA Mean (rel. units)CDA Median (rel. units)CDA STDEVControl2523 - 67413735.6336.176.98Breast Cancer2239 - 78545343.2042.304.18Stage I Breast Cancer1043 - 78595944.1743.254.29Stage II Breast Cancer839 - 55474941.2840.303.06Stage III Breast Cancer255555542.2042.202.12Stage IV Breast Cancer251 - 64585847.0047.007.78
Table 2AUC, Sensitivity and Specificity of Control vs. Stage I breast cancerStage I Breast Cancer vs. ControlArea Under the CurveSensitivitySpecificity 0.87680.0%80.0%
Citation Format: Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Lin Y, Tao H, Tang X, Du X, Yu C. Early stage breast cancer screening using an emerging novel liquid biopsy screening technology [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 P1-02-10.
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Thompson KJ, Alaparthi T, Sinnwell JP, Carlson EE, Tang X, Bockol M, Vedell PT, Ingle JN, Suman V, Weinshilboum RM, Wang L, Boughey JC, Kalari KR, Goetz MP. Abstract P1-03-04: Molecular subtyping of androgen receptor-positive patients using gene expression profiles. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-03-04] [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
Breast cancer is a heterogeneous disease, and unsupervised clustering approaches using gene expression data have identified 3-6 distinct subtypes of triple negative breast cancer (TNBC). A genomically and clinically distinct subtype of TNBC is referred to as LAR (Luminal Androgen Receptor). Tumors with this subtype typically express high levels of the AR and exhibit alterations within genes involved in the PI3K pathway (e.g. PIK3CA mutations). Prospective studies are underway using drugs that target the AR alone or in combination with PI3K and CDK 4/6 inhibitors. Given the importance of accurately identifying this subtype, we sought to develop an online tool that uses submitted gene expression data to confidently characterize LAR samples by corroborating the classification with previously published clustering approaches.
Methods: We have investigated TNBC RNA-Seq data from The Cancer Genome Atlas (TCGA) breast cancer study (N=123 samples) by cluster analysis. Analysis of the average silhouette width in both biased and unbiased K-means clustering approaches demonstrated LAR and basal as two distinct and significant clusters. A shrunken centroid model of 426 differentially expressed genes, named as CABAL (Clustering Among BAsal and Luminal androgen receptor), was constructed by comparing LAR and basal subtypes.
Results: We applied the CABAL model to classify the four TNBC microarray datasets that were previously used in clustering experiments as well as an independent RNA-Seq data cohort. Non-negative matrix factorization (NMF) and fuzzy clustering were applied to the samples (N=1046). Clustering similarity among the methods was assessed with the adjusted rand index, and CABAL demonstrated significant similarity with both fuzzy and NMF clustering methods. Similarly, hierarchical clustering analysis performed on the pooled cohort of 1046 samples recapitulated the CABAL classification with an area under the receiver operating curve of 0.91.
Conclusions: Confident and robust identification of samples with the LAR phenotype is paramount in the assessment of clinical associations and therapeutic efficacy. To facilitate LAR identification, we have provided a web-based prediction tool of the CABAL classification, integrated with the NMF and fuzzy clustering results to identify candidate LAR samples. The end user is provided with the pair-wise adjusted rand indexes, thus reinforcing in the clustering characterizations. Further, our online LAR depiction tool provides a set of graphical and tabular summaries, which will be illustrated, while providing additional molecular characterizations of the PAM50 and Metabric classifications. The availability of this tool could advance the genomic research and treatment of TNBC patients.
Citation Format: Thompson KJ, Alaparthi T, Sinnwell JP, Carlson EE, Tang X, Bockol M, Vedell PT, Ingle JN, Suman V, Weinshilboum RM, Wang L, Boughey JC, Kalari KR, Goetz MP. Molecular subtyping of androgen receptor-positive patients using gene expression profiles [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 P1-03-04.
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Tao H, Lin Y, Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Tang X, Yu C, Du X. Abstract P1-02-09: CDA screening technology for multi-ethnic group, early stage breast cancer screening. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-02-09] [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: Breast cancer is the second leading cause of death from cancer in American women. Current breast cancer screening technologies have issues with poor sensitivity for early stage breast cancer, high false positives, radiation side effects, etc. Cancer Differentiation Analysis (CDA) technology is a blood-sample based, multi-level, multi-parameter diagnostic method which detects signals from both proteins, cells, and to some extent, molecular level, in which multiple aspects of information are collected to improve diagnostic accuracy. CDA technology has been investigated as a viable clinical utility in breast cancer screening, particularly for early stage breast screening with clear advantages (both whole blood and serum can be used, ability to detect early, easy, simple, no side effects, and high degree of sensitivity and specificity).
Methods: In this study, the human subjects involved are Caucasians, with serum samples of 44 pathologically confirmed breast cancer patients and 34 healthy individuals from 3 blood bank centers in the USA, of which 40 cases were stageIbreast cancer, 2 cases were stageII, and the other 2 cases were stage III breast cancer. CDA data of 44 breast cancer patients and 34 healthy individuals were collected in US lab and analyzed using SPSS, and the results were shown in the table below. Results from the above study was compared with a clinical study on Asian group with data collected in lab in China using CDA technology.
Results: The average CDA value of all breast cancer and stageIbreast cancer samples, and controls were 45.99, 45.76 and 42.36 (rel. units) respectively (see Table 1). Both breast cancer and stageIbreast cancer could be significantly distinguished from the control group (p < 0.001) (Table 2). For stageIbreast cancer vs. control group, Area under ROC curve was 0.727, sensitivity and specificity were 62.5% and 82.4% respectively, which is higher than a typical mammogram. To compare with different ethnic groups, data collected on an Asian group is also shown in Table 2, which showed that overall, AUC, sensitivity and specificity are comparable (some difference may be attributed to sample type difference (whole blood vs. serum)) for early stage breast cancer patients for those two ethnic groups, demonstrating that CDA technology can be extended to multiple ethnic groups.
Conclusions: CDA screening can be extended to different ethnic group including Caucasian and Asian with good sensitivity and specificity for stageIbreast cancer.
We thank Ugur Basmaci, Sunsil Pandit and Sharon Vorse-Yu for their support.
Table 1Summary of CDA Test ResultsGroupSample SizeAge RangeAge MeanAge MedianCDA Mean (rel. units)CDA Median (rel. units)CDA STDEVControl3436 -79575742.3642.652.75Breast Cancer4436 – 77606145.9946.504.22Stage I Breast Cancer4036 – 77606145.7645.554.26Stage II Breast Cancer251 – 64585847.0547.054.88Stage III Breast Cancer262 – 75696949.5049.502.55
Table 2AUC, Sensitivity and Specificity of Control vs. Stage I Breast CancerStage I Breast Cancer vs. ControlArea Under the CurveSensitivitySpecificityCaucasian (Stage I)0.72762.5%82.4%Asian# (Stage I)0.87680.0%80.0%# Whole blood samples. 10 stage I breast cancer samples and 25 control samples
Citation Format: Tao H, Lin Y, Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Tang X, Yu C, Du X. CDA screening technology for multi-ethnic group, early stage breast cancer screening [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 P1-02-09.
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Kalari KR, Sinnwell JP, Thompson KJ, Tang X, Carlson EE, Alaparthi T, Yu J, Vedell PT, Kalmbach MT, Bockol MA, Hossain A, Weinshilboum RM, Boughey JC, Wang L, Suman VJ, Goetz MP. Abstract P3-06-10: Multiscale modeling of omics data for precision breast cancer treatment. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-06-10] [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
Introduction: The vast majority of cancer patients continue to receive treatments that are minimally informed by omics data. In the case of breast cancer, only ER and HER2 are routinely used for treatment selection. There is a particular need for personalized treatment in individuals with primary and secondary drug resistance or aggressive breast cancers. Emerging bioinformatics and statistical methods have made a fundamental impact on cancer research. However, challenges remains with regard to patient-centric data analysis and providing genomic data guidance to oncologists. There exists a large number of FDA approved anti-neoplastic drugs used to treat cancers other than breast and the development of innovative informatics methods and algorithms to repurpose those drugs should benefit breast cancer patients.
Methods and Results: We have developed precision care systems (such as PANOPLY and CORPUS) to identify personalized therapies for an individual patient and to deliver genomic reports in a standard, searchable format so that a researcher or an oncologist can quickly navigate through molecular data and obtain prioritized drugs and targets.The PANOPLY (Precision cancer genomics report: single sample inventory) algorithm applies machine learning and topology-based network analysis methods to integrate multi-omics profiles and clinical data; individual-specific molecular alterations are identified and compared with a set of matched-controls having similar clinical data. Since there is a lack of a “gold standard” dataset to test such algorithms, we simulated 500 case-control sets and evaluated drug predictions across multiple simulation scenarios. We applied the PANOPLY algorithm to The Cancer Genome Atlas (TCGA) breast cancer cohort, which consists of multi-omics data and clinical data. In addition, PANOPLY was also applied to an in-house neoadjuvant breast cancer study (BEAUTY) that consists of multi-omics data, clinical data, and patient-derived xenografts (PDXs). In the TCGA breast cancer study we obtained survival data to determine the cases and matched-controls; and in the BEAUTY, we used pathologic complete response (pCR) as an outcome to determine responders and non-responders. Recurrent targetable alterations were not enriched in patients without pCR in the BEAUTY study. We have applied the PANOPLY to non-responder patients to identify individual specific alterations, dysregulated networks, drug targets, and drugs for each patient and stored them as case reports in CORPUS (Computational Oncology Reports and Precision therapeUticS), a web-based repository that allows clinicians to review genomic reports. Using comprehensive “omic” data derived from a triple negative breast cancer patient who had pre and post-neoadjuvant chemotherapy PDXs, PANOPLY prioritized the PARP inhibitors as the top class of drug. Using the PDX models available from this patient, we tested olaparib and confirmed the in vivo antitumor activity (more effective than vehicle with a p-value < 0.05 in the PDXs). Further studies to confirm PANOPLY findings are currently underway.
Conclusions: In summary, the PANOPLY and CORPUS systems incorporate molecular data together with clinical data to provide genomic reports with proposed drug targets to advance or enable precision breast cancer care.
Citation Format: Kalari KR, Sinnwell JP, Thompson KJ, Tang X, Carlson EE, Alaparthi T, Yu J, Vedell PT, Kalmbach MT, Bockol MA, Hossain A, Weinshilboum RM, Boughey JC, Wang L, Suman VJ, Goetz MP. Multiscale modeling of omics data for precision breast cancer treatment [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 P3-06-10.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tiemens M, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. First Measurement of the Form Factors in D_{s}^{+}→K^{0}e^{+}ν_{e} and D_{s}^{+}→K^{*0}e^{+}ν_{e} Decays. PHYSICAL REVIEW LETTERS 2019; 122:061801. [PMID: 30822077 DOI: 10.1103/physrevlett.122.061801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Indexed: 06/09/2023]
Abstract
We report on new measurements of Cabibbo-suppressed semileptonic D_{s}^{+} decays using 3.19 fb^{-1} of e^{+}e^{-} annihilation data sample collected at a center-of-mass energy of 4.178 GeV with the BESIII detector at the BEPCII collider. Our results include branching fractions B(D_{s}^{+}→K^{0}e^{+}ν_{e})=[3.25±0.38(stat)±0.16(syst)]×10^{-3} and B(D_{s}^{+}→K^{*0}e^{+}ν_{e})=[2.37±0.26(stat)±0.20(syst)]×10^{-3}, which are much improved relative to previous measurements, and the first measurements of the hadronic form-factor parameters for these decays. For D_{s}^{+}→K^{0}e^{+}ν_{e}, we obtain f_{+}(0)=0.720±0.084(stat)±0.013(syst), and for D_{s}^{+}→K^{*0}e^{+}ν_{e}, we find form-factor ratios r_{V}=V(0)/A_{1}(0)=1.67±0.34(stat)±0.16(syst) and r_{2}=A_{2}(0)/A_{1}(0)=0.77±0.28(stat)±0.07(syst).
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tiemens M, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang D, Wang DY, Wang D, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of D^{+}→f_{0}(500)e^{+}ν_{e} and Improved Measurements of D→ρe^{+}ν_{e}. PHYSICAL REVIEW LETTERS 2019; 122:062001. [PMID: 30822062 DOI: 10.1103/physrevlett.122.062001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 01/03/2019] [Indexed: 06/09/2023]
Abstract
Using a data sample corresponding to an integrated luminosity of 2.93 fb^{-1} recorded by the BESIII detector at a center-of-mass energy of 3.773 GeV, we present an analysis of the decays D^{0}→π^{-}π^{0}e^{+}ν_{e} and D^{+}→π^{-}π^{+}e^{+}ν_{e}. By performing a partial wave analysis, the π^{+}π^{-} S-wave contribution to D^{+}→π^{-}π^{+}e^{+}ν_{e} is observed to be (25.7±1.6±1.1)% with a statistical significance greater than 10σ, besides the dominant P-wave contribution. This is the first observation of the S-wave contribution. We measure the branching fractions B(D^{0}→ρ^{-}e^{+}ν_{e})=(1.445±0.058±0.039)×10^{-3}, B(D^{+}→ρ^{0}e^{+}ν_{e})=(1.860±0.070±0.061)×10^{-3}, and B(D^{+}→f_{0}(500)e^{+}ν_{e},f_{0}(500)→π^{+}π^{-})=(6.30±0.43±0.32)×10^{-4}. An upper limit of B(D^{+}→f_{0}(980)e^{+}ν_{e},f_{0}(980)→π^{+}π^{-})<2.8×10^{-5} is set at the 90% confidence level. We also obtain the hadronic form factor ratios of D→ρe^{+}ν_{e} at q^{2}=0 assuming the single-pole dominance parametrization: r_{V}={[V(0)]/[A_{1}(0)]}=1.695±0.083±0.051, r_{2}={[A_{2}(0)]/[A_{1}(0)]}=0.845±0.056±0.039.
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Dalby ST, Tang X, Daily JA, Sukumaran S, Collins RT, Bolin EH. Effect of pericardial effusion on outcomes in children admitted with systemic lupus erythematosus: a multicenter retrospective cohort study from the United States. Lupus 2019; 28:389-395. [PMID: 30744520 DOI: 10.1177/0961203319828523] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE We sought to describe characteristics of children admitted with pericardial effusion (PCE) and systemic lupus erythematosus (SLE) and determine the association between PCE and outcomes of interest. METHODS We performed a retrospective cohort study of the Pediatric Health Information System (PHIS). Patients were included if they were admitted to a PHIS participating hospital from 2004 to 2015 with a diagnosis of SLE and age ≤18 years. Children with congenital heart disease or who had undergone heart surgery were excluded. PCE was the primary predictor variable; multivariable analysis was used to evaluate the effect of PCE on the following outcomes: mortality, length of stay (LOS), and readmission within 30 days. RESULTS There were 5679 admissions, of which 705 (12.4%) had PCE. Median age at admission was 15 years (interquartile range: 13-17). There were no significant differences for age or sex between patients admitted either with or without PCE. A significantly higher percentage of children in the PCE group were black compared with those without PCE (43% vs. 31%, p < 0.001). In multivariable analysis, the odds of a black patient having PCE were 1.7 higher than non-black patients ( p < 0.001). In-hospital mortality was 2.5 times higher in children with PCE compared with those without PCE ( p = 0.027). Those with PCE also had 1.5 greater odds of readmission within 30 days ( p < 0.001). PCE was not associated with increased LOS (0.99, p = 0.753). CONCLUSION PCE is common in admissions of children with SLE. There are disproportionately more black patients with SLE affected by PCE than non-black. PCE is associated with significantly higher mortality and rates of readmission.
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Li XY, He HY, Tang X, Wang R, Zhang CY, Wang SQ, Sun B, Tong ZH. [Percutaneous catheterization for extracorporeal membrane oxygenation: a retrospective case series]. ZHONGHUA JIE HE HE HU XI ZA ZHI = ZHONGHUA JIEHE HE HUXI ZAZHI = CHINESE JOURNAL OF TUBERCULOSIS AND RESPIRATORY DISEASES 2019; 49:678-682. [PMID: 28910912 DOI: 10.3760/cma.j.issn.1001-0939.2017.09.012] [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 review the experience of percutaneous catheterization for extracorporeal membrane oxygenation (ECMO) by respiratory intensivists at a single institution. Methods: A retrospective review of 87 patients undergoing percutaneous catheterization for ECMO in Department of Respiratory and Critical Care Medicine of Beijing Chaoyang Hospital from November 2009 to January 2017. Subject demographics, type of support, cannulation configuration, types of cannulas, use of imaging modalities, and complications were recorded and summarized. Results: The 87 patients consisted of 61 males and 26 females. The average age was (47±16)years (range 15-82 years ). Fifty-six patients were given ECMO therapy because of acute respiratory distress syndrome(ARDS), and 16 were treated as a bridge for lung transplantation and 15 for other causes. Eighty-one cases were given VV-ECMO support, and 6 cases were given VA-ECMO support. The most commonly used cannulas were 15-17 F arterial cannulas and 21-23 F venous cannulas. Preinsertion ultrasound was performed in 62 patients (71%) . Bedside chest radiography was used to help adjust the position of the end of the cannula in 11 patients (13%). Percutaneous catheterization was successful in 85 cases (97%) , while it failed in 2 female patients due to thick subcutaneous fat layer, and open surgical approach was used. Percutaneous femoral artery collateral circulation was established by ourselves in 5 cases. One patient with femoral artery catheterization without collateral circulation had gangrene of limbs. The complications included 9 cases of catheter site hemorrhage, 4 catheter-related bloodstream infection and 1 pulmonary embolism during ECMO weaning. Conclusion: Percutaneous catheterization for ECMO can be performed with a high rate of success and a low rate of complications.
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Ablikim M, Achasov M, Ahmed S, Albrecht M, Amoroso A, An F, An Q, Bai J, Bakina O, Baldini Ferroli R, Ban Y, Bennett D, Bennett J, Berger N, Bertani M, Bettoni D, Bian J, Bianchi F, Boger E, Boyko I, Briere R, Cai H, Cai X, Cakir O, Calcaterra A, Cao G, Cetin S, Chai J, Chang J, Chelkov G, Chen G, Chen H, Chen J, Chen M, Chen P, Chen S, Chen X, Chen Y, Chu X, Cibinetto G, Dai H, Dai J, Dbeyssi A, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Dou Z, Du S, Duan P, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng C, Fioravanti E, Fritsch M, Fu C, Gao Q, Gao X, Gao Y, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu M, Gu Y, Guo A, Guo R, Guo Y, Haddadi Z, Han S, Hao X, Harris F, He K, He X, Heinsius F, Held T, Heng Y, Holtmann T, Hou Z, Hu H, Hu T, Hu Y, Huang G, Huang J, Huang X, Huang X, Huang Z, Hussain T, Ikegami Andersson W, Ji Q, Ji Q, Ji X, Ji X, Jiang X, Jiang X, Jiao J, Jiao Z, Jin D, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang X, Kang X, Kavatsyuk M, Ke B, Khan T, Kiese P, Kliemt R, Kloss B, Koch L, Kolcu O, Kopf B, Kornicer M, Kuemmel M, Kuhlmann M, Kupsc A, Kühn W, Lange J, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li D, Li F, Li F, Li G, Li H, Li H, Li J, Li J, Li K, Li K, Li L, Li P, Li P, Li Q, Li W, Li W, Li X, Li X, Li X, Li Z, Liang H, Liang Y, Liang Y, Liao G, Lin D, Liu B, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu P, Liu Q, Liu S, Liu X, Liu Y, Liu Z, Liu Z, Long Y, Lou X, Lu H, Lu J, Lu Y, Lu Y, Luo C, Luo M, Luo T, Luo X, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma T, Ma X, Ma X, Ma Y, Maas F, Maggiora M, Malik Q, Mao Y, Mao Z, Marcello S, Messchendorp J, Mezzadri G, Min J, Min T, Mitchell R, Mo X, Mo Y, Morales Morales C, Muchnoi N, Muramatsu H, Musiol P, Mustafa A, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Niu S, Niu X, Olsen S, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng H, Peters K, Pettersson J, Ping J, Ping R, Poling R, Prasad V, Qi H, Qi M, Qian S, Qiao C, Qin J, Qin N, Qin X, Qin Z, Qiu J, Rashid K, Redmer C, Richter M, Ripka M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen C, Shen P, Shen X, Sheng H, Song J, Song W, Song X, Sosio S, Sowa C, Spataro S, Sun G, Sun J, Sun S, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Sun Z, Tang C, Tang G, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner G, Wang B, Wang B, Wang D, Wang D, Wang D, Wang K, Wang L, Wang L, Wang M, Wang M, Wang P, Wang P, Wang W, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Weber T, Wei D, Weidenkaff P, Wen S, Wiedner U, Wolke M, Wu L, Wu L, Wu Z, Xia L, Xia Y, Xiao D, Xiao H, Xiao Y, Xiao Z, Xie Y, Xie Y, Xiong X, Xiu Q, Xu G, Xu J, Xu L, Xu Q, Xu Q, Xu X, Yan L, Yan W, Yan Y, Yang H, Yang H, Yang L, Yang Y, Yang Y, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu J, Yuan C, Yuan Y, Yuncu A, Zafar A, Zeng Y, Zeng Z, Zhang B, Zhang B, Zhang C, Zhang D, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang K, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng W, Zheng Y, Zhong B, Zhou L, Zhou X, Zhou X, Zhou X, Zhou X, Zhou Y, Zhu J, Zhu K, Zhu K, Zhu S, Zhu S, Zhu X, Zhu Y, Zhu Y, Zhu Z, Zhuang J, Zotti L, Zou B, Zou J. Measurements of the absolute branching fractions and
CP
asymmetries for
D+→KS,L0K+(π0). Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.99.032002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Duan J, Tang X, Huang S, Jia J, Guo S. A Pilot Study of Short-Term High-Pressure Support Ventilation in Persistent Sudden-Onset Rapid Breathing. Anaesth Intensive Care 2019. [PMID: 23194206 DOI: 10.1177/0310057x1204000608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guo AQ, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li J, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Study of the D^{0}→K^{-}μ^{+}ν_{μ} Dynamics and Test of Lepton Flavor Universality with D^{0}→K^{-}ℓ^{+}ν_{ℓ} Decays. PHYSICAL REVIEW LETTERS 2019; 122:011804. [PMID: 31012671 DOI: 10.1103/physrevlett.122.011804] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 11/30/2018] [Indexed: 06/09/2023]
Abstract
Using e^{+}e^{-} annihilation data of 2.93 fb^{-1} collected at center-of-mass energy sqrt[s]=3.773 GeV with the BESIII detector, we measure the absolute branching fraction of D^{0}→K^{-}μ^{+}ν_{μ} with significantly improved precision: B_{D^{0}→K^{-}μ^{+}ν_{μ}}=(3.413±0.019_{stat}±0.035_{syst})%. Combining with our previous measurement of B_{D^{0}→K^{-}e^{+}ν_{e}}, the ratio of the two branching fractions is determined to be B_{D^{0}→K^{-}μ^{+}ν_{μ}}/B_{D^{0}→K^{-}e^{+}ν_{e}}=0.974±0.007_{stat}±0.012_{syst}, which agrees with the theoretical expectation of lepton flavor universality within the uncertainty. A study of the ratio of the two branching fractions in different four-momentum transfer regions is also performed, and no evidence for lepton flavor universality violation is found with current statistics. Taking inputs from global fit in the standard model and lattice quantum chromodynamics separately, we determine f_{+}^{K}(0)=0.7327±0.0039_{stat}±0.0030_{syst} and |V_{cs}|=0.955±0.005_{stat}±0.004_{syst}±0.024_{LQCD}.
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Zhao J, Chen J, Zhang M, Tang X, Sun G, Zhu S, Liu J, Zhang H, Zhang X, Yin X, Zhao P, Zhu X, Ni Y, Dai J, Shen P, Chen N, Zeng H. The clinical significance of perineural invasion in patients with de novo metastatic prostate cancer. Andrology 2019; 7:184-192. [PMID: 30609313 DOI: 10.1111/andr.12578] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Revised: 11/11/2018] [Accepted: 11/27/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND The clinical value of perineural invasion (PNI) in patients with localized prostate cancer (PCa) is widely explored. However, its role in metastatic PCa (mPCa) remains unknown. OBJECTIVES We aim to investigate the clinical significance of PNI in patients with mPCa. MATERIALS AND METHODS Data of 515 mPCa patients between 2012 and 2018 were retrospectively studied. PNI and its intensity were identified by prostate biopsy. The prognostic value of PNI was evaluated by Kaplan-Meier curves and Cox proportional-hazards model. RESULTS Perineural invasion was detected in 170/515 (33.0%) cases. Among them 73/170 (42.9%) and 97/170 (57.1%) harbored unifocal PNI (uni-PNI) and multifocal PNI (multi-PNI), respectively. Compared to patients without PNI, those with PNI had statistically shorter castration-resistant PCa-free survival (CFS) and numerically shorter overall survival (OS) (mCFS: 15.4- vs. 18.5-Mo, p = 0.015; mOS: 63.8- vs. 71.4-Mo, p = 0.108). Patients harboring multi-PNI were associated with poorer clinical outcomes than those with uni-PNI (mCFS: 12.4- vs. 18.0-Mo, p = 0.040; mOS: 39.7-Mo vs. NR, p = 0.018) or those without PNI (mCFS: 12.4- vs. 18.5-Mo, p = 0.002; mOS: 39.7- vs. 71.4-Mo, p = 0.002). Totally, neither uni-PNI nor multi-PNI was an independent risk factor impacting survival outcomes in multivariate analyses. While remarkably, for patients with favorable/intermediate-risk mPCa, multi-PNI was an independent adverse prognosticator for both CFS and OS (CFS: HR: 1.705, 95% CI: 1.029-2.825, p = 0.038; OS: HR: 3.294, 95% CI: 1.464-7.413, p = 0.004). DISCUSSION AND CONCLUSION This study filled the blank of the clinical significance of PNI in mPCa. We found that multi-PNI could distinguish men with relatively poor prognosis from patients initially regarded as with favorable survival outcomes by other prognosticators, and thus, avoid disease underestimation in this group of patients. Our finding would help physicians have a deeper understanding of the heterogeneity of mPCa and make better individualized therapeutic strategy.
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Wu S, Wu J, Chen J, Lu Y, Li Y, Tang X, Sun X, Xie G, Liao C. The Impact of Cryopreservation-Thawing Conditions on Umbilical Cord Blood Quality and Transplantation Outcomes. CRYO LETTERS 2019; 40:83-93. [PMID: 31017608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
BACKGROUND Cord blood units (CBUs) go through the cryopreservation-thawing process for storage before use in transplantation. The differences in the cryopreservation-thawing process affect the quality of CBUs. The effects of the cryopreservation-thawing process on the final outcomes of CBU transplantation has not been defined well. OBJECTIVE To study the impact of differences in the cryopreservation-thawing process on the quality of CBUs and the final clinical outcomes of transplantation. MATERIALS AND METHODS The differences in cryopreservation-thawing conditions were analyzed to determine their effect on the quality and clinical outcomes of transplanted CBUs. CBUs were detected using the same reagents, instruments and methods for minimizing experimental errors. RESULTS The differences in the cryopreservation-thawing process did not change cell survival, TNCC recovery (CD34+ and CFUs), the implantation rates and recovery time of neutrophils/100-day platelets. CONCLUSION The present study shows that the differences in the cryopreservation-thawing conditions do not influence the quality and transplantation outcomes of CBUs.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Ferroli RB, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Chu XK, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guo AQ, Guo RP, Guo YP, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Andersson WI, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kuhlmann M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao D, Xiao H, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YH, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of the Absolute Branching Fraction of the Inclusive Semileptonic Λ_{c}^{+} Decay. PHYSICAL REVIEW LETTERS 2018; 121:251801. [PMID: 30608802 DOI: 10.1103/physrevlett.121.251801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Indexed: 06/09/2023]
Abstract
Using a data sample of e^{+}e^{-} collisions corresponding to an integrated luminosity of 567 pb^{-1} collected at a center-of-mass energy of sqrt[s]=4.6 GeV with the BESIII detector, we measure the absolute branching fraction of the inclusive semileptonic Λ_{c}^{+} decay with a double-tag method. We obtain B(Λ_{c}^{+}→Xe^{+}ν_{e})=(3.95±0.34±0.09)%, where the first uncertainty is statistical and the second systematic. Using the known Λ_{c}^{+} lifetime and the charge-averaged semileptonic decay width of nonstrange charmed mesons (D^{0} and D^{+}), we obtain the ratio of the inclusive semileptonic decay widths Γ(Λ_{c}^{+}→Xe^{+}ν_{e})/Γ[over ¯](D→Xe^{+}ν_{e})=1.26±0.12.
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Chi F, Johnston S, Tang X, Chen W, Wang B, Tang S. PSIV-28 Effects of replacing zinc oxide and antibiotics with NeoPrime® on growth performance and plasma and fecal endotoxin concentration in nursery pigs. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Du H, Gan Z, Ma W, Tang X. 247 Regulation of Iron Homeostasis in Porcine Alveolar Macrophages Limits the Availability of Iron for Bacteria. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.060] [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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Collins RT, Flor JM, Tang X, Bange JM, Zarate YA. Parental-reported neurodevelopmental issues in Loeys-Dietz syndrome. RESEARCH IN DEVELOPMENTAL DISABILITIES 2018; 83:153-159. [PMID: 30212788 DOI: 10.1016/j.ridd.2018.08.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 06/21/2018] [Accepted: 08/06/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Loeys-Dietz syndrome (LDS) is a congenital multisystem disorder affecting the cardiovascular and musculoskeletal system. Limited data have reported neurodevelopmental (ND) issues in LDS. AIMS To determine the extent of ND issues in patients with LDS. METHODS A prospective study was performed of LDS patients or their caregivers. The study included data collected via an online survey of age-specific questions. Standard statistical methods were used for baseline and demographic characteristics, as well as group comparisons. OUTCOMES Data were obtained from 67 patients with LDS (54% female). Median age was 14.9 years. Gene mutations included TGFBR1 (39%), TGFBR2 (40%), SMAD3 (7%), and unknown (14%). Motor delays (30%, 18/61) and hypotonia (63%, 37/60) occurred frequently. Physical (62%, 39/62), occupational (41%, 23/56), and speech therapies (34%, 20/58) were common. Feeding issues were common (41%, 23/56). TGFBR1 mutations were more frequent among those with motor delays and feeding issues. CONCLUSIONS Patients with LDS and/or their caregivers report at least one ND problem in most cases, and many require therapies. These data suggest ND disorders should be considered to be part of the phenotype.
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Tang X, Zhang M, Zhou N, Yan J, Yang LX, Chen GH. [Current status of cognitive dysfunction in patients with obstructive sleep apnea hypopnea syndrome]. LIN CHUANG ER BI YAN HOU TOU JING WAI KE ZA ZHI = JOURNAL OF CLINICAL OTORHINOLARYNGOLOGY, HEAD, AND NECK SURGERY 2018; 31:813-816. [PMID: 29771054 DOI: 10.13201/j.issn.1001-1781.2017.10.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Indexed: 11/12/2022]
Abstract
With the deepening of research, the cognitive disorders caused by obstructive sleep apnea hypopnea syndrome has attracted more and more attention by scholars both at home and abroad. This paper systematically reviews the progress of its clinical manifestations and pathogenesis.
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Tang X, Tian X, Yu M, Wang J, Xu Y, Zhou L, Lu Y, Gong Y. A Novel Nomogram of DVH Parameters and Clinical Factors for Predicting Severe Acute Radiation Pneumonitis in NSCLC Patients Receiving Post-Operation Radiation Therapy. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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141
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Yang X, Wang T, Ghavidel B, Beitler J, Tang X, Curran W, Liu T. Optimal Virtual Monochromatic Image in “Twin-Beam” Imaging of Dual-Energy CT for Head-and-Neck Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.06.267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Yang X, Wang T, Lei Y, Jiang X, Jani A, Patel P, Tang X, Dhabaan A, Curran W, Liu T. A Learning-Based Method to Improve Pelvis Cone Beam CT Image Quality for Prostate Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Si R, Yang G, Tang X. NKG2D enhances chemosensitivity to cisplatin in patients with extensive small cell lung cancer by up-regulating NF-κβ2. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy430.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Chu XK, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guo AQ, Guo RP, Guo YP, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu HM, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kuhlmann M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu K, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Musiol P, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao D, Xiao H, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YH, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YX, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of the Branching Fraction For the Semileptonic Decay D^{0(+)}→π^{-(0)}μ^{+}ν_{μ} and Test of Lepton Flavor Universality. PHYSICAL REVIEW LETTERS 2018; 121:171803. [PMID: 30411926 DOI: 10.1103/physrevlett.121.171803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 09/26/2018] [Indexed: 06/08/2023]
Abstract
Using a data sample corresponding to an integrated luminosity of 2.93 fb^{-1} taken at a center-of-mass energy of 3.773 GeV with the BESIII detector operated at the BEPCII collider, we perform an analysis of the semileptonic decays D^{0(+)}→π^{-(0)}μ^{+}ν_{μ}. The branching fractions of D^{0}→π^{-}μ^{+}ν_{μ} and D^{+}→π^{0}μ^{+}ν_{μ} are measured to be (0.272±0.008_{stat}±0.006_{syst})% and (0.350±0.011_{stat}±0.010_{syst})%, respectively, where the former is of much improved precision compared to previous results and the latter is determined for the first time. Using these results along with previous BESIII measurements of D^{0(+)}→π^{-(0)}e^{+}ν_{e}, we calculate the branching fraction ratios to be R^{0}≡B_{D^{0}→π^{-}μ^{+}ν_{μ}}/B_{D^{0}→π^{-}e^{+}ν_{e}}=0.922±0.030_{stat}±0.022_{syst} and R^{+}≡B_{D^{+}→π^{0}μ^{+}ν_{μ}}/B_{D^{+}→π^{0}e^{+}ν_{e}}=0.964±0.037_{stat}±0.026_{syst}, which are compatible with the theoretical expectation of lepton flavor universality within 1.7σ and 0.5σ, respectively. We also examine the branching fraction ratios in different four-momentum transfer square regions, and find no significant deviations from the standard model predictions.
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Wang Y, Wei Y, Tang X, Liu B, Shen L, Long C, Lin T, He D, Wu S, Wei G. Association between androgen receptor polymorphic CAG and GGC repeat lengths and cryptorchidism: A meta-analysis of case-control studies. J Pediatr Urol 2018; 14:432.e1-432.e9. [PMID: 29914823 DOI: 10.1016/j.jpurol.2018.05.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Accepted: 05/21/2018] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Previous studies have revealed the relationship between androgen receptor (AR) CAG and/or GGC polymorphisms and risk of cryptorchidism, yet the results have been elusive and controversial. AIM To determine whether AR polymorphic CAG and/or GGC repeats are related to cryptorchidism. STUDY DESIGN The relevant studies were obtained from PubMed, Embase, China National Knowledge Infrastructure, and Wanfang. The pooled odds ratios with 95% confidence intervals (CIs) were used to assess the strength of associations. Subgroup analyses were performed based on ethnicity and source of controls. Moreover, Begg's funnel plots and Egger's linear regression test were conducted to determine publication bias. RESULTS Eight case-control studies containing 321 patients and 784 normal controls were included. There was a significant association between longer CAG repeats and cryptorchidism risk (weighted mean difference (WMD) = 0.62; 95% CIs 0.06, 1.18; P = 0.031). Moreover, there was a significant association between the longer GGC repeats and cryptorchidism risk (WMD = 0.87; 95% CIs 0.04, 1.74; P = 0.040). There was significant association between the longer CAG repeats and bilateral cryptorchidism (WMD = 0.88; 95% CIs -0.18, 1.94; P = 0.011), while there was no significant association between the longer CAG repeats and unilateral cryptorchidism (WMD = -0.09; 95% CIs -0.50, 0.31; P = 0.554). There were significant associations between the longer GGC repeats and unilateral cryptorchidism (WMD = 0.88; 95% CIs -0.30, 2.05; P = 0.005) and bilateral cryptorchidism (WMD = 1.35; 95% CIs -0.52, 3.21; P = 0.000). Stratifying analysis revealed an association between longer CAG/GGC repeats and cryptorchidism in Caucasian populations from Europe (WMD = 0.73; 95% CIs 0.00, 1.46; P = 0.017), while there was no association with Asian populations. DISCUSSION This meta-analysis found that CAG/GGC repeats in the AR gene were longer in cryptorchidism patients compared to controls. Both the longer CAG repeats and GGC repeats in the AR gene were associated with cryptorchidism risk. The longer CAG repeats were associated with bilateral cryptorchidism, whereas the longer GGC repeats were associated with unilateral and bilateral cryptorchidism. Stratifying analysis revealed an association between longer CAG/GGC repeats and cryptorchidism in Caucasian populations from Europe, while there was no association between longer CAG/GGC repeats and cryptorchidism in Asian populations. CONCLUSION The CAG/GGC repeats in the AR gene were longer in cryptorchidism than in controls. Longer CAG repeats may play a role in determining bilateral cryptorchidism, and longer GGC repeats may play a role in determining unilateral and bilateral cryptorchidism. These observations were more applicable to Caucasian populations.
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Meng Y, Yu C, Wang W, Tang X, Jiang C, Kong F, Yang H. P1.17-20 Excluding PTV From Lung Volume May Better Predict Radiation Pneumonitis For IMRT Treated Lung Cancer Patients. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.1053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Meng Y, Yu C, Tang X, Wang W, Jiang C, Kong F, Yang H. P1.17-09 V30 May Better Predict Radiation Pneumonitis After Intensity-Modulated Radiation Therapy for Lung Cancer. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.1042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Zhu J, Dong Q, Wang W, Tang X, Meng Y, Kong F, Yang H. P2.01-124 SIB-IMRT in Symptomatic Brain Metastases for NSCLC: A Randomized Controlled Study of WBRT Comparing 25Gy and 30Gy. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.1179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Sun B, Tang X. [Extracorporeal membrane oxygenation: hope of severe acute respiratory distress syndrome]. ZHONGHUA YI XUE ZA ZHI 2018; 98:2706-2708. [PMID: 30220163 DOI: 10.3760/cma.j.issn.0376-2491.2018.34.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
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Tang X, Allain JP, Wang H, Rong X, Chen J, Huang K, Xu R, Wang M, Huang J, Liao Q, Shan Z, Luo S, Li T, Li C, Fu Y. Incidence of hepatitis B virus infection in young Chinese blood donors born after mandatory implementation of neonatal hepatitis B vaccination nationwide. J Viral Hepat 2018; 25:1008-1016. [PMID: 29624818 DOI: 10.1111/jvh.12901] [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: 10/26/2017] [Accepted: 02/16/2018] [Indexed: 01/17/2023]
Abstract
This study was carried out to determine the incidence of hepatitis B virus (HBV) infection in the young generation born after mandatory implementation of hepatitis B vaccination since 1992. Repeat blood donors born between 1992 and 1997 were enrolled, who gave blood at least twice during the past 3 years. Donors were tested for HBV infection markers of HBsAg, anti-HBc, anti-HBs and viral DNA by immunoassays (EIAs) and nucleic acid tests (NAT). A total of 14 937 pre-donation screening qualified young repeat donors aged 18-23 years were tested with 9 (0.06%) being HBsAg by EIA and 10 (1:1494) HBV DNA positive by Ultrio NAT (10.4 IU/mL), respectively. HBV DNA was further detected in 1:192 (9/1732) anti-HBc+ repeat donors with Ultrio Plus NAT (3.4 IU/mL). Most cases were identified as occult HBV infection (OBI). Of 14 937 repeat donors, 20.9% were anti-HBc+ positive, while approximately 50% of 12 024 repeat donors were anti-HBs negative or had levels <100 IU/L. HBsAg+ or OBI strains were classified as wild type of genotype B or genotype C. Incident HBV infection in repeat donors was approximately 1:18.5 person-years (1.1%/year) but significantly less frequent in donors with confirmed HBV vaccination (2.4%-3.3%) than those unsure of vaccination status (10.5%; P = .0023). Hepatitis B virus vaccination appears largely protective of HBV infection, but incidence of infections increases in young adults with mostly undetectable or low anti-HBs or occasionally high anti-HBs. A boost of hepatitis B vaccine for adolescents prior to age 18 years may reduce HBV infection, and implementation of more sensitive NAT in blood donation screening may improve HBV safety in blood transfusion.
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