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Shi M, Liu RR, Jin YY, Shi QL, Shen XX, Zhang R, Chen LJ. [The prognosis and related factors impacting renal response in newly diagnosed multiple myeloma patients with renal impairment]. ZHONGHUA YI XUE ZA ZHI 2024; 104:3528-3534. [PMID: 39375135 DOI: 10.3760/cma.j.cn112137-20240119-00138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Abstract
Objective: To investigate the prognosis and related factors impacting renal response in newly diagnosed multiple myeloma (NDMM) patients with renal impairment. Methods: A total of 375 NDMM patients diagnosed at the Department of Hematology, the First Affiliated Hospital of Nanjing Medical University from August 2012 to April 2022 were retrospectively recruited. Patients were categorized into non-renal impairment group(n=273) and renal impairment group (n=102) according to renal function at initial diagnosis. All patients received≥2 cycles of bortezomib-based induction chemotherapy after admission. The hematological response included stringent complete response (sCR), complete response (CR), very good partial response (VGPR), partial response (PR) and stable disease (SD). The renal responses were defined as CR, PR, minor response (MR) and non-response (NR). General clinical data of the patients were collected, and patients were followed up by telephone. The follow-up deadline was December 3, 2022, and the median follow-up time [M (Q1, Q3)] was 42 (22, 61) months. Kaplan-Meier analysis was used to plot the survival curve. The log-rank test was utilized for inter-group comparisons. Multivariate logistic regression modeling facilitated the exploration of associated factors impacting renal response. Results: In the renal impairment group, there were 68 males and 34 females with a median age [M (Q1, Q3)] of 64 (58, 69) years. In the non-renal impairment group, there were 149 males and 124 females with a median age of 62 (54, 68) years. Compared with the renal impairment group, the age, lactate dehydrogenase and 24-hour urinary protein quantity were increased, the proportion of patients with light chain M protein and the proportion of patients at the DS-Ⅲ stage, ISS-Ⅲ stage and R-ISS-Ⅲ stage were higher, the hemoglobin level and the proportion of patients receiving autologous hematopoietic stem cell transplantation were lower in the renal impairment group (all P<0.05). In 102 patients with renal impairment, renal responses of CR, PR, MR and NR were obtained in 53 (52.0%), 8 (7.9%), 18 (17.6%), 23 (22.5%) patients, respectively, and the overall response rate was 77.5% (79/102). Kaplan-Meier survival curve revealed that the median progression-free survival (PFS) was 24.0 (95%CI: 18.3-29.7) months in the renal impairment group, which was shorter than 31.0 (95%CI: 24.7-37.3) months in the non-renal impairment group (P=0.003). The median overall survival (OS) was 46.0 (95%CI: 36.5-55.5) months in the renal impairment group, which was shorter than 79.0 (95%CI: 59.9-98.1) months in the non-renal impairment group (P=0.002). Among the renal impairment group, patients with renal response of less than PR exhibited a median PFS of 19.0 (95%CI: 9.7-28.3) months, which was shorter than 28.0 (95%CI: 21.4-34.5) months for those achieving PR or better (P=0.048). The median OS was 31.0 (95%CI: 23.5-38.5) months in renal response with less than PR group, which was also worse than 57.0 (95%CI: 42.8-71.2) months for those who achieved PR or better (P=0.003). The results of multivariate logistic regression showed that hematological response achieving VGPR or better was a factor associated with renal response achieving PR (OR=4.20, 95%CI: 1.20-14.68, P=0.025). Conclusions: The prognosis of NDMM patients with renal impairment is poor. The hematological response with VGPR or better is related to the renal response achieving PR.
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Mao X, Shi M, Zhang B, Fu R, Cai M, Yu S, Lin K, Zhang C, Li D, Chen G, Luo W. Integration of single-cell and bulk RNA sequencing revealed immune heterogeneity and its association with disease activity in rheumatoid arthritis patients. Immunol Res 2024; 72:1120-1135. [PMID: 39009881 DOI: 10.1007/s12026-024-09513-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 06/27/2024] [Indexed: 07/17/2024]
Abstract
Rheumatoid arthritis (RA) is a chronic, inflammatory, systemic autoimmune disease characterized by cartilage, bone damage, synovial inflammation, hyperplasia, autoantibody production, and systemic features. To obtain an overall profile of the immune environment in RA patients and its association with clinical features, we performed single-cell transcriptome and T-cell receptor sequencing of mononuclear cells from peripheral blood (PBMC) and synovial fluid (SF) from RA patients, integrated with two large cohorts with bulk RNA sequencing for further validation and investigation. Dendritic cells (DCs) exhibited relatively high functional heterogeneity and tissue specificity in relation to both antigen presentation and proinflammatory functions. Peripheral helper T cells (TPHs) are likely to originate from synovial tissue, undergo activation and exhaustion, and are subsequently released into the peripheral blood. Notably, among all immune cell types, TPHs were found to have the most intense associations with disease activity. In addition, CD8 effector T cells could be clustered into two groups with different cytokine expressions and play distinct roles in RA development. By integrating single-cell data with bulk sequencing from two large cohorts, we identified interactions among TPHs, CD8 cells, CD16 monocytes, and DCs that strongly contribute to the proinflammatory local environment in RA joints. Of note, the swollen 28-joint counts exhibited a more pronounced association with this immune environment compared to other disease activity indexes. The immune environment alternated significantly from PBMCs to SF, which indicated that a series of immune cells was involved in proinflammatory responses in the local joints of RA patients. By integrating single-cell data with two large cohorts, we have uncovered associations between specific immune cell populations and clinical features. This integration provides a rapid and precise methodology for assessing local immune activation, offering valuable insights into the pathophysiological mechanisms at play in RA.
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Wang L, Zhao L, Zhao W, Shi M, Li X, Liang Z. Maximal diameters and mean computed tomography (CT) value of synchronous multiple pure ground-glass opacities in lung adenocarcinoma are smaller. Clin Radiol 2024; 79:e1101-e1107. [PMID: 38890050 DOI: 10.1016/j.crad.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 04/03/2024] [Accepted: 05/07/2024] [Indexed: 06/20/2024]
Abstract
AIMS Synchronous multiple pure ground-glass opacities (SMpGGOs) are observed more commonly. Nevertheless whether characteristics of SMpGGOs are similar to those of solitary pure ground-glass opacities (SpGGOs), remains unknown. This retrospective study aimed to compare radiographic characteristics between SMpGGOs and SpGGOs. MATERIALS AND METHODS We retrospectively included patients along with SpGGOs or SMpGGOs at XXX between August 2018 and June 2020. They were enrolled in two groups (SpGGOs and SMpGGOs). The clinical records, pathologic features, and radiographic manifestations of two groups were collected and compared with SPSS 21.0. RESULTS 138 patients (58 patients with 58 SpGGOs, 80 patients with 187 SMpGGOs) were evaluated. The threshold values of maximal diameters and mean computed tomography value for adenocarcinoma were 5.5 mm (sensitivity 86.4%, specificity 55.6%, AUC 0.777) and -615.0 Hu in SMpGGOs (sensitivity 61.4%, specificity 66.7%, AUC 0.651) for SMpGGOs, whereas 12.5 mm (sensitivity 54.5%, specificity 100%, AUC 0.851) and -531.9 Hu (sensitivity 43.2%, specificity 100%, AUC 0.724) in SpGGOs. CONCLUSION The threshold values of maximal diameters and mean computed tomography value for adenocarcinoma in SMpGGOs may be smaller than those in SpGGOs (5.5 mm vs. 12.5mm, -615.0 Hu vs. -531.9 Hu).
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Wang Y, Li J, Wang XY, Shi M. [Case report and treatment analysis of chlorfenapyr poisoning]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2024; 42:540-542. [PMID: 39075011 DOI: 10.3760/cma.j.cn121094-20230321-00087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
Chlorfenapyr is a kind of insecticide widely used in agriculture. Acute chlorfenapyr poisoning has a high mortality rate and there is no effective treatment at present. Poisoning caused by oral chlorfenapyr can lead to multiple organs damage such as heart, brain, muscle and retina. Clinical treatment should remove toxicants from the body early to improve the prognosis. In this paper, the death data of 3 patients with chlorfenapyr poisoning were reported and literature search was conducted to discuss the mechanism and treatment of chlorfenapyr poisoning.
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Liu H, Duan J, Zeng P, Shi M, Zeng J, Chen S, Gong Z, Chen Z, Qin J, Chen Z. Intelligently Quantifying the Entire Irregular Dental Structure. J Dent Res 2024; 103:378-387. [PMID: 38372132 DOI: 10.1177/00220345241226871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024] Open
Abstract
Quantitative analysis of irregular anatomical structures is crucial in oral medicine, but clinicians often typically measure only several representative indicators within the structure as references. Deep learning semantic segmentation offers the potential for entire quantitative analysis. However, challenges persist, including segmentation difficulties due to unclear boundaries and acquiring measurement landmarks for clinical needs in entire quantitative analysis. Taking the palatal alveolar bone as an example, we proposed an artificial intelligence measurement tool for the entire quantitative analysis of irregular dental structures. To expand the applicability, we have included lightweight networks with fewer parameters and lower computational demands. Our approach finally used the lightweight model LU-Net, addressing segmentation challenges caused by unclear boundaries through a compensation module. Additional enamel segmentation was conducted to establish a measurement coordinate system. Ultimately, we presented the entire quantitative information within the structure in a manner that meets clinical needs. The tool achieved excellent segmentation results, manifested by high Dice coefficients (0.934 and 0.949), intersection over union (0.888 and 0.907), and area under the curve (0.943 and 0.949) for palatal alveolar bone and enamel in the test set. In subsequent measurements, the tool visualizes the quantitative information within the target structure by scatter plots. When comparing the measurements against representative indicators, the tool's measurement results show no statistically significant difference from the ground truth, with small mean absolute error, root mean squared error, and errors interval. Bland-Altman plots and intraclass correlation coefficients indicate the satisfactory agreement compared with manual measurements. We proposed a novel intelligent approach to address the entire quantitative analysis of irregular image structures in the clinical setting. This contributes to enabling clinicians to swiftly and comprehensively grasp structural features, facilitating the design of more personalized treatment plans for different patients, enhancing clinical efficiency and treatment success rates in turn.
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Xu F, Shen C, Zhang S, Liu Y, Liu D, Kuang Y, Li R, Wang C, Cai X, Shi M, Xiao Y. Coptisine inhibits aggressive and proliferative actions of fibroblast like synoviocytes and exerts a therapeutic potential for rheumatoid arthritis. Int Immunopharmacol 2024; 128:111433. [PMID: 38181676 DOI: 10.1016/j.intimp.2023.111433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/29/2023] [Accepted: 12/19/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVE Coptisine, a natural bioactive small molecular compound extracted from traditional Chinese herb Coptis chinensis, has been shown to exhibit anti-tumor effect. However, its contribution to autoimmune diseases such as rheumatoid arthritis (RA) is unknown. Here, we evaluate the effect of coptisine in controlling fibroblast-like synoviocytes (FLS)-mediated synovial proliferation and aggression in RA and further explore its underlying mechanism(s). METHODS FLS were separated from synovial tissues obtained from patients with RA. Protein expression was measured by Western blot or immunohistochemistry. Gene expression was detected by quantitative RT-PCR. The EdU incorporation was used to measure cell proliferation. Migration and invasion were determined by Boyden chamber assay. RNA sequencing analysis was used to seek for the target of coptisine. The in vivo effect of coptisine was evaluated in collagen-induced arthritis (CIA) model. RESULTS Treatment with coptisine reduced the proliferation, migration, and invasion, but not apoptosis of RA FLS. Mechanistically, we identified PSAT1, an enzyme that catalyzes serine/one-carbon/glycine biosynthesis, as a novel targeting gene of coptisine in RA FLS. PSAT1 expression was increased in FLS and synovial tissues from patients with RA compared to healthy control subjects. Coptisine treatment or PSAT1 knockdown reduced the TNF-α-induced phosphorylation of p38, ERK1/2, and JNK MAPK pathway. Interestingly, coptisine administration improved the severity of arthritis and reduced synovial PSAT1 expression in mice with CIA. CONCLUSIONS Our data demonstrate that coptisine treatment suppresses aggressive and proliferative actions of RA FLS by targeting PSAT1 and sequential inhibition of phosphorylated p38, ERK1/2, and JNK MAPK pathway. Our findings suggest that coptisine might control FLS-mediated rheumatoid synovial proliferation and aggression, and be a novel potential agent for RA treatment.
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Hao L, Shi M, Ma J, Shao S, Yuan Y, Liu J, Yu Z, Zhang Z, Hölscher C, Zhang Z. A Cholecystokinin Analogue Ameliorates Cognitive Deficits and Regulates Mitochondrial Dynamics via the AMPK/Drp1 Pathway in APP/PS1 Mice. J Prev Alzheimers Dis 2024; 11:382-401. [PMID: 38374745 DOI: 10.14283/jpad.2024.6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND There are no drugs on the market that can reverse or slow Alzheimer's disease (AD) progression. A protease-resistant Cholecystokinin (CCK) analogue used in this study is based on the basic structure of CCK, which further increases the stability of the peptide fragment and prolongs its half-life in vivo. We observed a neuroprotective effect of CCK-8L in APPswe/PS1dE9 (APP/PS1) AD mice. However, its corresponding mechanisms still need to be elucidated. OBJECTIVE This study examined CCK-8L's neuroprotective effects in enhancing cognitive impairment by regulating mitochondrial dynamics through AMPK/Drp1 pathway in the APP/PS1 AD mice. METHODS Behavioural tests are applied to assess competence in cognitive functions. Transmission electron microscopy (TEM) was performed to observe the ultrastructure of mitochondria of hippocampal neurons, Immunofluorescent staining was employed to assay for Aβ1-42, APP, Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) and dynamin-related protein1 (Drp1). CRISPR/Cas9 was utilized for targeted knockout of the CCKB receptor (CCKBR) in the mouse APP/PS1 hippocampal CA1 region. A model of lentiviral vector-mediated overexpression of APP in N2a cells was constructed. RESULTS In vivo, experiments revealed that CCK analogue and liraglutide significantly alleviated cognitive deficits in APP/PS1 mice, reduced Aβ1-42 expression, and ameliorated l damage, which is associated with CCKBR activation in the hippocampal CA1 region of mice. In vitro tests showed that CCK inhibited mitochondrial fission and promoted fusion through AMPK/Drp1 pathway. CONCLUSIONS CCK analogue ameliorates cognitive deficits and regulates mitochondrial dynamics by activating the CCKB receptor and the AMPK/Drp1 pathway in AD mice.
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Hunter A, Beck S, Cappelli E, Margot F, Straub M, Alexanian Y, Gatti G, Watson MD, Kim TK, Cacho C, Plumb NC, Shi M, Radović M, Sokolov DA, Mackenzie AP, Zingl M, Mravlje J, Georges A, Baumberger F, Tamai A. Fate of Quasiparticles at High Temperature in the Correlated Metal Sr_{2}RuO_{4}. PHYSICAL REVIEW LETTERS 2023; 131:236502. [PMID: 38134803 DOI: 10.1103/physrevlett.131.236502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/08/2023] [Indexed: 12/24/2023]
Abstract
We study the temperature evolution of quasiparticles in the correlated metal Sr_{2}RuO_{4}. Our angle resolved photoemission data show that quasiparticles persist up to temperatures above 200 K, far beyond the Fermi liquid regime. Extracting the quasiparticle self-energy, we demonstrate that the quasiparticle residue Z increases with increasing temperature. Quasiparticles eventually disappear on approaching the bad metal state of Sr_{2}RuO_{4} not by losing weight but via excessive broadening from super-Planckian scattering. We further show that the Fermi surface of Sr_{2}RuO_{4}-defined as the loci where the spectral function peaks-deflates with increasing temperature. These findings are in semiquantitative agreement with dynamical mean field theory calculations.
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Guguchia Z, Gawryluk DJ, Shin S, Hao Z, Mielke Iii C, Das D, Plokhikh I, Liborio L, Shenton JK, Hu Y, Sazgari V, Medarde M, Deng H, Cai Y, Chen C, Jiang Y, Amato A, Shi M, Hasan MZ, Yin JX, Khasanov R, Pomjakushina E, Luetkens H. Hidden magnetism uncovered in a charge ordered bilayer kagome material ScV 6Sn 6. Nat Commun 2023; 14:7796. [PMID: 38016982 PMCID: PMC10684576 DOI: 10.1038/s41467-023-43503-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 11/10/2023] [Indexed: 11/30/2023] Open
Abstract
Charge ordered kagome lattices have been demonstrated to be intriguing platforms for studying the intertwining of topology, correlation, and magnetism. The recently discovered charge ordered kagome material ScV6Sn6 does not feature a magnetic groundstate or excitations, thus it is often regarded as a conventional paramagnet. Here, using advanced muon-spin rotation spectroscopy, we uncover an unexpected hidden magnetism of the charge order. We observe an enhancement of the internal field width sensed by the muon ensemble, which takes place within the charge ordered state. More importantly, the muon spin relaxation rate below the charge ordering temperature is substantially enhanced by applying an external magnetic field. Taken together with the hidden magnetism found in AV3Sb5 (A = K, Rb, Cs) and FeGe kagome systems, our results suggest ubiqitous time-reversal symmetry-breaking in charge ordered kagome lattices.
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Sun Q, Qi YK, Qi KM, Yan ZL, Cheng H, Chen W, Zhu F, Sang W, Li DP, Cao J, Shi M, Li ZY, Xu KL. [Observation of liver indexes in patients with relapsed/refractory multiple myeloma treated with CAR-T-cells based on BCMA]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:832-837. [PMID: 38049335 PMCID: PMC10694074 DOI: 10.3760/cma.j.issn.0253-2727.2023.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Indexed: 12/06/2023]
Abstract
Objective: To observe the characteristics of the evolution of liver indexes in patients with relapsed/refractory multiple myeloma (RRMM) treated with CAR-T-cells based on BCMA. Methods: Retrospective analysis was performed of patients with RRMM who received an infusion of anti-BCMA CAR-T-cells and anti-BCMA combined with anti-CD19 CAR-T-cells at our center between June 1, 2019, and February 28, 2023. Clinical data were collected to observe the characteristics of changes in liver indexes such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and direct bilirubin (DBIL) in patients, and its relationship with cytokine-release syndrome (CRS) . Results: Ninety-two patients were included in the analysis, including 41 patients (44.6%) in the group receiving a single infusion of anti-BCMA CAR-T-cells, and 51 patients (55.4%) in the group receiving an infusion of anti-BCMA combined with anti-CD19 CAR-T-cells. After infusing CAR-T-cells, 31 patients (33.7%) experienced changes in liver indexes at or above grade 2, which included 20 patients (21.7%) with changes in one index, five patients (5.4%) with changes in two indexes, and six patients (6.5%) with changes in three or more indexes. The median time of peak values of ALT and AST were d17 and d14, respectively, and the median duration of exceeding grade 2 was 5.0 and 3.5 days, respectively. The median time of peak values of TBIL and DBIL was on d19 and d21, respectively, and the median duration of exceeding grade 2 was 4.0 days, respectively. The median time of onset of CRS was d8, and the peak time of fever was d9. The ALT, AST, and TBIL of patients with CRS were higher than those of patients without CRS (P=0.011, 0.002, and 0.015, respectively). CRS is an independent factor that affects ALT and TBIL levels (OR=19.668, 95% CI 18.959-20.173, P=0.001). The evolution of liver indexes can be reversed through anti-CRS and liver-protection treatments, and no patient died of liver injury. Conclusions: In BCMA-based CAR-T-cell therapy for RRMM, CRS is an important factor causing the evolution of liver indexes. The evolution of liver indexes after CAR-T-cell infusion is transient and reversible after treatment.
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Zang J, Liu J, Zhang M, Zhao L, Shi M. Development and Validation of CT-Based Dose-Volume-Radiomics Nomogram for Radiation Induced Hypothyroidism in Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e275. [PMID: 37785035 DOI: 10.1016/j.ijrobp.2023.06.1248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Several studies reported hypothyroidism occurred in 40-50% of patients who were treated with neck irradiation. Post-radiation hypothyroidism impairs quality of life, increases the risk of cardiac complications, and requires lifelong thyroxine replacement in affected patients. At present, radiation dose-volume constraints of thyroid gland are used to predict thyroid function outcomes in patients with nasopharyngeal carcinoma (NPC). However, it is limited by (a) inferior predictive power, (b) a lack of analyzing individualized thyroid characteristics as a categoriad to predict radiation induced hypothyroidism (RIHT). In this study, we firstly developed and validated CT-based dose-volume-radiomics nomogram to predict RIHT in patients with NPC. MATERIALS/METHODS A total of 451 NPC patients who underwent definitive radiotherapy were randomly assigned into the training (n = 338) and validation set (n = 113) in a 3:1 ratio. Dose-volume parameters, including the thyroid volume, mean dose (Dmean), percentage of the volume that received xGy of radiation (Vx), and the absolute volume that was spared from xGy of radiation (Vsx), were collected from radiotherapy planning databases. We defined primary hypothyroidism as an elevated TSH serum level (> 4.94 mIU/L) in combination with a normal or low serum FT4 level, regardless of symptoms. 1316 CT radiomic features were extracted and selected to construct the radiomics signature (RS). A CT-based nomogram was established by integrating clinical factors, dose-volume parameters and radiomics signature in training set and was tested in validation set. RESULTS With a median follow-up period of 68 months, 301 (66.7%) patients developed RIHT. Compared with other dose-volume parameters including thyroid volume, V30, V50, Dmean, Vs45, Vs50, the thyroid volume spared from 60Gy (Vs60) had best power to predict RIHT. The radiomics signature constructed by 8 selected radiomic features showed better prognostic performance than Vs60 for predicting RIHT in training set (RIHT vs. Vs60, C-index: 0.69 vs. 0.58) and internal validation set (C-index: 0.65 vs. 0.55). Patients were stratified into high- and low-risk groups by median radiomic signature. Patients in high-risk group had higher rate of RIHT than patients in low-risk group (training set:61% vs.39%, P<0.05; validation set: 73% vs.32%, P<0.05). The nomogram established by integrating radiomics signature with Vs60 showed optimal prognostic performance with C-index of 0.71 in training, 0.66 in validation set. Calibration curves showed good agreement. CONCLUSION CT-based dose-volume-radiomics nomogram provided an excellent prognostic tool for predict incidence rate of RITH in patients with NPC received definitive radiotherapy.
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Shi M, Simiele EA, Han B, Pham D, Palomares P, Aguirre M, Gensheimer MF, Vitzthum L, Surucu M, Kovalchuk N. First-Year Experience of IMRT/SBRT Treatments Using a Novel Biology-Guided Radiation Therapy System. Int J Radiat Oncol Biol Phys 2023; 117:e717. [PMID: 37786094 DOI: 10.1016/j.ijrobp.2023.06.2222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study presents the first-year experience of treating patients using intensity-modulated radiation therapy (IMRT) and stereotactic body radiation therapy (SBRT) with the X1 system, the first biology-guided radiation therapy (BgRT) machine installed in a clinical setting. MATERIALS/METHODS A total of 78 patients underwent IMRT and SBRT treatments on the X1 system from May 2021 to May 2022. Clinical and technical data, such as treatment sites, number of pre-treatments kVCT scans, beam on time, patient setup time, imaging time per kVCT, and couch shifts after kVCT match, were collected and analyzed. Additionally, daily machine output stability, patient-specific quality assurance (QA) results, machine uptime, and user survey were also documented and reported. RESULTS The most commonly treated site was the head and neck (63%), followed by the pelvis (23%), thorax (6%), and abdomen (8%). All treatments, except for 5 pelvis patients (6%) who received SBRT treatments for bony metastases, were conventionally fractionated IMRT (CF IMRT). The average number of kVCT scans per fraction is 1.2 ± 0.5 for all treatments. The average beam on time in minutes was 9.2 ± 3.5 for all treatments, 8.4 ± 2.4 for head and neck, 6.7 ± 1.3 for thorax, 10.3 ± 1.6 for abdomen, 11.6 ± 5.1 for CF IMRT pelvis, and 10.8 ± 5.3 for SBRT pelvis. The average patient setup time and imaging time per kVCT was 4.8 ± 2.6 minutes and 4.6 ± 1.5 minutes, respectively. The average couch corrections based on kVCT images were 0.4 ± 4.4 mm, 1.0 ± 4.5 mm, and 1.3 ± 4.3 mm along the x, y, and z direction, respectively; the average couch rotation corrections were 0.1 ± 0.9° for pitch, 0.0 ± 0.9° for roll, and 0.2 ± 1.2° for yaw. The daily machine output was 0.4 ± 1.2% from the baseline. The patient QA had a gamma passing rate of 97.4 ± 2.8%. The machine uptime was 92% of the total treatment time. The kVCT image quality and daily QA process received the highest level of satisfaction, while the treatment workflow for therapists received the lowest level of satisfaction (table 1). CONCLUSION At one year after the installation of the X1 system, this study reports successful treatment of 78 patients using IMRT/ SBRT. With the recent FDA clearance of BgRT, our institution is preparing to treat patients using PET-guidance via a new product release, which should address deficiencies in the current IGRT workflow.
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Qiu Z, Huang Z, Zhu L, Huang X, Wang WH, Tie J, Shen L, Shi M, Chen J, Liu M, Cheng J, Zhang J, Li Y, Wang S. A Nomogram to Predict Pathological Axillary Status in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e202. [PMID: 37784855 DOI: 10.1016/j.ijrobp.2023.06.1080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study aimed to identify factors influencing axillary pathological complete response (pCR) and to develop a predictive nomogram to evaluate axillary pCR rate in breast cancer patients treated with neoadjuvant chemotherapy (NAC). MATERIALS/METHODS A total of 2368 patients who received NAC and mastectomy between 2000 and 2014 from 12 grade A tertiary hospitals in China were analyzed retrospectively. The patients treated in three cancer hospitals (training set, n = 1629) were used to construct the nomogram based on multivariate logistic regression analyses. The nomograph was validated by the area under the receiver operating characteristic curve (AUC) and calibration curve in patients from 9 other general hospitals (validation set, n = 739). RESULTS The nomogram incorporated seven predicting factors including NACT cycles, response to NACT, clinical T stage, clinical N stage, grade, LVI, and molecular subtype. The AUC for the training set and validation set were 0.762 and 0.802, respectively. In addition, the calibration curve also showed good agreement between the nomogram-based predictions and the actual observations. CONCLUSION A nomogram was established to predict the status of axillary lymph nodes in breast cancer patients after NAC. The predictive model performed well both in the training set and external validation set.
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Zhou W, Yin Y, Shi M, Zhao L. A Retrospective Analysis of Immediate Postoperative Electron Radiotherapy for Keloids. Int J Radiat Oncol Biol Phys 2023; 117:e217. [PMID: 37784890 DOI: 10.1016/j.ijrobp.2023.06.1113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The increasing incidence of keloid has seriously affected people's physical and mental health, and the postoperative recurrence rate is as high as 50-80%. Postoperative radiotherapy has been shown to significantly reduce the recurrence of keloid. Given the different treatment patterns in different institutions, we tried to analyze the data of patients in our center. MATERIALS/METHODS We retrospectively analyzed the clinical data of 455 patients with 498 keloids treated in our institution from 2010 to 2017. All patients received a four-fraction electron radiotherapy with single dose of 4 Gy within 24 hours of surgery. The recurrence and adverse reaction of immediate adjuvant radiotherapy in these patients was evaluated. RESULTS At the last follow-up date, 130 (26.5%) keloids had recurred after a middle follow-up of 68.1 months (42.6-129.9 months). The recurrence rates of 1 year, 3 years and 5 years were respectively14.5%, 18.7% and 21%. Recurrence rates vary depending on the keloid location. Among them, the recurrence rate of ear was low with 14% (43/298). Face, head neck and limbs was moderate with 38.8% (17/44) and 33.3% (8/24). Chest and Suprapubic region had a high recurrence rate of 50.8% (32/64) and 47.8% (33/69). Among the patients with recurrence, 16.9% (22/130) felt that their symptoms were better than before treatment, and 37.7% (49/130) were not worsen, which was acceptable. Multivariate analysis showed that age and duration of postoperative pruritus pain were correlated with recurrence (P = 0.036; P = 0.02). Radiotherapy combined with steroid and silicone reduced the recurrence rate compared with radiotherapy alone (P = 0.015). During treatment and follow-up, Infection occurred in 2 patients and cutaneous fibroblastoma in 1 patient. CONCLUSION Our radiotherapy regimen can effectively reduce the recurrence rate and improve the symptoms of patients with keloids, especially ear keloids. High recurrence sites need further improvement of radiotherapy dose and fraction. Combination of multiple treatments is better than single treatment.
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Xiang G, Chai G, Lyu B, Li Z, Yin Y, Wang B, Pan Y, Shi M, Zhao L. Long-Term Results of Induction Chemotherapy for Esophageal Squamous Cell Carcinoma Receiving Concurrent Chemoradiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e351. [PMID: 37785216 DOI: 10.1016/j.ijrobp.2023.06.2425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study aimed to investigate the long-term clinical outcomes and toxicities of induction chemotherapy (IC) followed by concurrent chemoradiotherapy (CCRT) versus CCRT alone in patients with esophageal squamous cell carcinoma (ESCC). MATERIALS/METHODS Between 2008 and 2022, 271 ESCC patients who received definitive CCRT (IC followed by CCRT, n = 72; CCRT alone, n = 199) were enrolled. Radiotherapy technique included intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT). Through a propensity score matched (PSM) method, 71 patients receiving IC and CCRT were matched 1:1 to patients who received CCRT alone, according to age, gender, performance status, tumor length, and pre-treatment TN stage. The Kaplan-Meier method and Cox proportional hazards model were applied to analyze survival and prognosis. RESULTS The IC + CCRT group had no improvement in 5-year overall survival (OS) rate (39.0% vs 29.3%, p = 0.360), recurrence-free survival (RFS) rate (39.0% vs 26.9%, p = 0.142), and distant metastasis-free survival (DMFS) rate (33.6% vs 27.2%, p = 0.515) compared with the CCRT group. The overall clinical response rate was 45.1% after IC in the IC + CCRT group. The IC responders (CR + PR + SD) group showed more favorable 5-year OS (41.7% vs. 14.3% vs. 29.3%, p < 0.001), RFS (41.7% vs. 14.3% vs. 26.9%, p < 0.001) and DMFS (37.3% vs. 0% vs. 27.2%, p < 0.001) compared with the IC non-responders (PD) group and the CCRT group. Besides, the 5-year OS rate (65.6% vs. 17.6% vs. 29.3%, p < 0.001), RFS rate (65.6% vs. 17.6% vs. 26.9%, p < 0.001), and DMFS rate (62.5% vs. 10.3% vs. 27.2%, p < 0.001) of the IC good responders (CR + PR) were significantly higher than that of the IC poor responders (SD + PD) and CCRT group. Multivariate analysis revealed that total radiotherapy time (≥ 49 days) and AJCC stage (Ⅲ/Ⅳ) were independent predictive factors of OS, RFS and DMFS. Besides, age was an independent predictive factor of DMFS. No significant difference was observed in the rates of grades 3-4 toxicities between both groups. CONCLUSION Our results showed the addition of IC to CCRT was not superior to CCRT in unselected ESCC patients, while IC responders could benefit from this regime without increase in toxicities.
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Zang J, Liu R, Gao S, Zhao L, Shi M. Development and Validation of CT-Based Clinical-Radiomics Nomogram for Early Stage Extranodal Nasal-Type NK/T Cell Lymphoma: A Multicenter Study. Int J Radiat Oncol Biol Phys 2023; 117:e558. [PMID: 37785712 DOI: 10.1016/j.ijrobp.2023.06.1873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Most patients with extranodal nasal-type NK/T cell lymphoma (ENKTCL) had a localized disease with extensive primary tumor invasion at diagnosis (70-90%). Several clinical risk indexes, such as nomogram-revised risk index (NRI), international prognostic index (IPI), Korean Prognostic Index (KPI) and prognostic index of natural killer lymphoma (PINK), were used for ENKTCL patient stratification and providing information in clinical decision-making. However, they had low predictive power for early-stage patients with ENKTCL. This is the first study to construct a model with more predictive power through CT-based radiomics signature combined with traditional clinical risk indexes for overall survival (OS) of patients with early-stage ENKTCL. MATERIALS/METHODS A total of 196 early stage ENKTCL patients were randomly assigned into the training (n = 147) and interval validation set (n = 49) in a 3:1 ratio. And 83 and 19 early stage ENKTCL patients from other two centers were used for external validation set (n = 62). All patients received radiotherapy after 2-3 cycles of chemotherapy. 1316 CT radiomic features before radiotherapy were extracted and selected to construct the radiomics signature (RS). A CT-based nomogram was established by integrating clinical indexes and radiomics signature in training set and was tested in two validation sets. RESULTS With a median follow-up period of 59.9 months, 48 patients (24.1%) died. Compared with other prognostic index, NRI had better power to predict 5-year OS in the training cohort. The radiomics signature constructed by 11 selected radiomic features showed better prognostic performance than NRI for predicting 5-year OS in training set (C-index: 0.75 vs. 0.66), internal validation set (C-index: 0.71 vs. 0.62) and external validation set (C-index: 0.68 vs. 0.60). Patients were stratified into high- and low-risk groups by median radiomic signature. Patients in high-risk group had worse 5-year OS than patients in low-risk group (training set: 92% vs. 65%, P<0.001; internal validation set: 88% vs. 59%, P<0.05; external validation set 90% vs. 60%, P<0.05). The nomogram established by integrating radiomics signature with NRI showed optimal prognostic performance with C-index of 0.77 in training, 0.73 in internal and 0.71 in external validation set. Calibration curves showed good agreement. CONCLUSION The clinical-radiomics nomogram integrating CT-based radiomics signature combined with traditional clinical risk index provided an excellent prognostic tool for OS, which could be helpful for personalized risk stratification and treatment in early stage ENKTCL patients.
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Wang DQ, Huang Z, Zhu L, Huang XB, Wang WH, Tie J, Shen L, Shi M, Chen JY, Liu M, Cheng J, Zhang J, Li YX, Wang S. Recurrence Risk Score Model for Evaluating the Impact of Postmastectomy Radiotherapy in Breast Cancer Patients with Pathologic Nodal Negative after Neoadjuvant Chemotherapy and Mastectomy. Int J Radiat Oncol Biol Phys 2023; 117:e211. [PMID: 37784877 DOI: 10.1016/j.ijrobp.2023.06.1100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Recurrence risk score model was established to distinguish the recurrent risk of patients with pathologic nodal negative (ypN0) after neoadjuvant chemotherapy (NACT) and mastectomy and determine the impact of postmastectomy radiotherapy (PMRT). MATERIALS/METHODS This multicenter retrospective study reviewed 766 patients who underwent mastectomy and NACT with ypN0 from 2000 to 2014. Recurrent risk score model was assigned proportionally to the relative contribution of independent prognostic factors in the multivariate Cox model of disease-free survival (DFS). Decision tree analysis was conducted to determine two optimal cutoff points for stratification. RESULTS The median follow-up time was 74 months. The 5-year locoregional control (LRC), DFS, and overall survival (OS) rates for the entire group were 96.5%, 89.1% and 95.3%, respectively. 353 (46.1%) patients received PMRT and 413 (53.9%) patients did not. Patients with PMRT have more high-risk factors, including age <40 years, clinical stage III, grade III, or ER and PR negative. Chest wall and regional nodal region were irradiated in 307 (87.0%) and chest wall only in 46 (13.0%). The median radiation dose was 50 Gy (range: 36-60 Gy) in 25 fractions (range: 15-30 fractions). There were no significant differences between the PMRT and No-PMRT groups in the LRC, DFS and OS rates. Recurrent risk score model consisted of five factors and used a range of zero to eleven scoring points: age <40 years and clinical N1 stage for one point; clinical N2, NACT ≥4 cycles, lymphovascular invasion and ypT1-2 for two points; ypT3-4 for four points. 456 (59.5%) patients scoring zero to four points, 188 (24.5%) scoring five points and 122 (15.9%) scoring six to eleven points were assigned to the low-, intermediate-, and high-risk group. LRC, DFS and OS rates in three risk groups were significantly distinct from each other (5yr-LRC: 98.6% vs. 95.5% vs. 89.8%, p < .001; 5yr-DFS: 94.4% vs. 87.4% vs. 71.5%, p < .001; 5yr-OS: 97.6% vs. 93.2% vs. 90.0%, p < .001). PMRT had no impact on the LRC, DFS and OS rates in either low-, intermediate-, or high-risk group. CONCLUSION The recurrence risk score model can effectively distinguish patients with different recurrent risk stratification. PMRT in patients with ypN0 after NAC and mastectomy cannot improve LRC, DFS or OS. Table 1. Survival outcomes and comparison between PMRT and No-PMRT arms in different groups.
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Zhang M, Su N, Zang J, Shi M, Zhao L. Efficacy and Safety of Multifraction Stereotactic Radiation Therapy with Volumetric Modulated Arc Therapy Technique for Multiple Brain Metastases. Int J Radiat Oncol Biol Phys 2023; 117:e161-e162. [PMID: 37784758 DOI: 10.1016/j.ijrobp.2023.06.992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Multifraction stereotactic radiotherapy (MF-SRT) with volumetric modulated arc therapy (VMAT) is the standard treatment option for patients with multiple brain metastases. VMAT has superior physical accessibility and economic accessibility compared with advanced radiotherapy technologies such as Tomo or Proton radiotherapy. However, existing studies has mainly focused on comparing the dosimetric parameters between distinct radiotherapy techniques. Moreover, single fraction stereotactic radiosurgery is preferentially recommended for treatment of brain metastases with maximum diameter <2cm compared with MF-SRT. There is a lack of clinical results of its efficacy and subgroup analyses according to diameter. Thus, we first report the detailed analysis of clinical results of SRT using VMAT for brain metastases. MATERIALS/METHODS This study is a retrospective analysis of SRT for multiple brain metastasis using VMAT. The clinical efficacy of VMAT was evaluated by local control (LC) in 6-months, 1-year, and 2-year. RESULTS A total of 63 patients with 214 brain metastases were enrolled. The most common fractionation schemes were 40 Gy/8F and 48 Gy/12F. In all, LC rates at 6-month, 1-year, and 2-year were 95.5%, 90.6%, and 76.8%, respectively. Using univariate and multivariate analyses according to stratification factors including maximum diameter, GTV volume, dose per fraction, fractions, inner structure, and BED (α/β = 10), we found that no factors were associated with 6-month LC, 1-year LC, and 2-year LC. 1-year LC rates for maximum diameter ≥1 and <2, ≥2 and <3, and ≥3 cm were 89.2%, 90.7%, and 95.7%, respectively. The 1-year LC rates for tumors with GTV <3, ≥3 and <5, ≥5 and <10, and ≥10 cc were 87.0%, 91.7%, 94.7%, and 96.6%, respectively. Interestingly, 1year-LC in GTV ≥3 cc tends to higher than those in GTV <3 cc, but there was no significant difference (94.4% vs 87%, P = 0.162). Brain radionecrosis (RN) was the most significant toxicity occurring in 10 (4.7%) out of the 214 treated brain metastases. Among 6 patients with RN, 4 (66.7%) had been treated with tyrosine kinase inhibitors. CONCLUSION The use of MF-SRT with VMAT for multiple brain metastases showed a comparable clinical efficacy to other techniques described in the literature. And the LC rate for maximum diameter <2cm treated with MF-SRT VMAT was comparable to single fraction stereotactic radiosurgery as previously reported. The treatment-related toxicity was acceptable.
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Lin W, Liu Y, Zhang S, Xu S, Qiu Q, Wang C, Liu D, Shen C, Xu M, Shi M, Xiao Y, Chen G, Xu H, Liang L. Schisandrin treatment suppresses the proliferation, migration, invasion, and inflammatory responses of fibroblast-like synoviocytes from rheumatoid arthritis patients and attenuates synovial inflammation and joint destruction in CIA mice. Int Immunopharmacol 2023; 122:110502. [PMID: 37390648 DOI: 10.1016/j.intimp.2023.110502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 05/30/2023] [Accepted: 06/11/2023] [Indexed: 07/02/2023]
Abstract
BACKGROUND Rheumatoid arthritis (RA) is a systemic autoimmune disease causing joint dysfunction. As disease-modifying anti-rheumatic drugs (DMARDs) have poor efficacy in 20% to 25% of RA patients, additional novel RA medications are urgently needed. Schisandrin (SCH) has multiple therapeutic effects. However, whether SCH is effective against RA remains unknown. PURPOSE To investigate how SCH affects the abnormal behaviours of RA fibroblast-like synoviocytes (FLSs) and further elucidate the underlying mechanism of SCH in RA FLSs and collagen-induced arthritis (CIA) mice. METHODS Cell Counting Kit-8 (CCK8) assays were used to characterize cell viability. EdU assays were performed to assess cell proliferation. Annexin V-APC/PI assays were used to determine apoptosis. Transwell chamber assays were used to measure cell migration and invasion in vitro. RT-qPCR was used to assess proinflammatory cytokine and MMP mRNA expression. Western blotting was used to detect protein expression. RNA sequencing was performed to explore the potential downstream targets of SCH. CIA model mice were used to assess the treatment efficacy of SCH in vivo. RESULTS Treatments with SCH (50, 100, and 200 μΜ) inhibited RA FLSs proliferation, migration, invasion, and TNF-α-induced IL-6, IL-8, and CCL2 expression in a dose-dependent manner but did not affect RA FLSs viability or apoptosis. RNA sequencing and Reactome enrichment analysis indicated that SREBF1 might be the downstream target in SCH treatment. Furthermore, knockdown of SREBF1 exerted effects similar to those of SCH in inhibiting RA FLSs proliferation, migration, invasion, and TNF-α-induced expression of IL-6, IL-8, and CCL2. Both SCH treatment and SREBF1 knockdown decreased activation of the PI3K/AKT and NF-κB signalling pathways. Moreover, SCH ameliorated joint inflammation and cartilage and bone destruction in CIA model mice. CONCLUSION SCH controls the pathogenic behaviours of RA FLSs by targeting SREBF1-mediated activation of the PI3K/AKT and NF-κB signalling pathways. Our data suggest that SCH inhibits FLS-mediated synovial inflammation and joint damage and that SCH might have therapeutic potential for RA.
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Tumasyan A, Adam W, Bergauer T, Dragicevic M, Del Valle AE, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Pitters FM, Rad N, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Zarucki M, Darwish MR, De Wolf EA, Di Croce D, Janssen T, Kello T, Lelek A, Pieters M, Sfar HR, Van Haevermaet H, Van Mechelen P, Van Putte S, Van Remortel N, Blekman F, Bols ES, Chhibra SS, D'Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Morton A, Müller D, Python Q, Tavernier S, Van Doninck W, Van Mulders P, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Vander Velde C, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Gruchala M, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Bury F, Caputo C, David P, Delaere C, Delcourt M, Donertas IS, Giammanco A, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Vischia P, Wertz S, Wuyckens S, Alves GA, Hensel C, Moraes A, Júnior WLA, Das Chagas EBB, Malbouisson HB, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, Damiao DDJ, De Souza SF, Martins J, Figueiredo DM, Jaime MM, Herrera CM, Mundim L, Nogima H, Teles PR, Rosas LJS, Santoro A, Amaral SMSD, Sznajder A, Thiel M, De Araujo FTDS, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Atanassov I, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Cheng T, Fang W, Guo Q, Wang H, Yuan L, Ahmad M, Bauer G, Hu Z, Wang Y, Yi K, Chapon E, Chen GM, Chen HS, Chen M, Javaid T, Kapoor A, Leggat D, Liao H, Liu ZA, Sharma R, Spiezia A, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, Ban Y, Chen C, Huang Q, Levin A, Li Q, Lu M, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, You Z, Gao X, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Sarkar A, Delgado MAS, Jaramillo J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Arbelaez NV, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Tsiakkouri D, Finger M, Finger M, Kveton A, Tomsa J, Ayala E, Jarrin EC, Abdalla H, Abdelalim AA, Assran Y, Lotfy A, Mahmoud MA, Bhowmik S, De Oliveira ACA, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Brücken E, Garcia F, Havukainen J, Karimäki V, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Charlot C, Davignon O, Diab B, Falmagne G, de Cassagnac RG, Hakimi A, Kucher I, Lobanov A, Perez CM, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Fontaine JC, Gelé D, Goerlach U, Grimault C, Le Bihan AC, Van Hove P, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Jain S, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Shchablo K, Torterotot L, Touquet G, Vander Donckt M, Viret S, Bagaturia I, Tsamalaidze Z, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Rauch MP, Schulz J, Teroerde M, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Ghosh S, Hebbeker T, Hoepfner K, Keller H, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pook T, Pozdnyakov A, Rath Y, Reithler H, Roemer J, Schmidt A, Schuler SC, Sharma A, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pistone C, Pooth O, Roy D, Sert H, Stahl A, Ziemons T, Petersen HA, Martin MA, Asmuss P, Babounikau I, Baxter S, Behnke O, Martínez AB, Anuar AAB, Borras K, Botta V, Brunner D, Campbell A, Cardini A, Connor P, Rodríguez SC, Danilov V, De Wit A, Defranchis MM, Didukh L, Damiani DD, Eckerlin G, Eckstein D, Banos LIE, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Harb A, Jafari A, Jomhari NZ, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Knolle J, Krücker D, Lange W, Lenz T, Lidrych J, Lipka K, Lohmann W, Madlener T, Mankel R, Melzer-Pellmann IA, Metwally J, Meyer AB, Meyer M, Missiroli M, Mnich J, Mussgiller A, Myronenko V, Otarid Y, Adán DP, Pflitsch SK, Pitzl D, Raspereza A, Saggio A, Saibel A, Savitskyi M, Scheurer V, Schwanenberger C, Singh A, Ricardo RES, Tonon N, Turkot O, Vagnerini A, Van De Klundert M, Walsh R, Walter D, Wen Y, Wichmann K, Wissing C, Wuchterl S, Zenaiev O, Zlebcik R, Aggleton R, Bein S, Benato L, Benecke A, De Leo K, Dreyer T, Ebrahimi A, Eich M, Feindt F, Fröhlich A, Garbers C, Garutti E, Gunnellini P, Haller J, Hinzmann A, Karavdina A, Kasieczka G, Klanner R, Kogler R, Kutzner V, Lange J, Lange T, Malara A, Niemeyer CEN, Nigamova A, Rodriguez KJP, Rieger O, Schleper P, Schumann S, Schwandt J, Schwarz D, Sonneveld J, Stadie H, Steinbrück G, Vormwald B, Zoi I, Bechtel J, Berger T, Butz E, Caspart R, Chwalek T, De Boer W, Dierlamm A, Droll A, Morabit KE, Faltermann N, Flöh K, Giffels M, Gottmann A, Hartmann F, Heidecker C, Husemann U, Katkov I, Keicher P, Koppenhöfer R, Maier S, Metzler M, Mitra S, Müller T, Musich M, Quast G, Rabbertz K, Rauser J, Savoiu D, Schäfer D, Schnepf M, Schröder M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Wassmer M, Weber M, Wolf R, Wozniewski S, Anagnostou G, Asenov P, Daskalakis G, Geralis T, Kyriakis A, Paspalaki G, Stakia A, Diamantopoulou M, Karasavvas D, Karathanasis G, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Manitara K, Manthos N, Papadopoulos I, Strologas J, Bartók M, Csanád M, Gadallah MMA, Lökös S, Major P, Mandal K, Mehta A, Pásztor G, Surányi O, Veres GI, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Vesztergombi G, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Choudhury S, Komaragiri JR, Kumar D, Panwar L, Tiwari PC, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur S, Kumari P, Meena M, Sandeep K, Sharma S, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Garg RB, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Ghosh S, Gomber B, Maity M, Nandan S, Palit P, Rout PK, Saha G, Sahu B, Sarkar S, Sharan M, Singh B, Thakur S, Behera PK, Behera SC, Kalbhor P, Muhammad A, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Dutta D, Kumar V, Naskar K, Netrakanti PK, Pant LM, Shukla P, Aziz T, Bhat MA, Dugad S, Verma RK, Mohanty GB, Sarkar U, Banerjee S, Bhattacharya S, Chatterjee S, Chudasama R, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Roy D, Bahinipati S, Dash D, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Sur N, Swain SK, Dube S, Kansal B, Pandey S, Rane A, Rastogi A, Sharma S, Bakhshiansohi H, Zeinali M, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Felcini M, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Di Florio A, Di Pilato A, Elmetenawee W, Fiore L, Gelmi A, 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Leiton AGS, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wolfe E, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borchsh V, Bunin P, Chekhovsky V, Chistov R, Danilov M, Demiyanov A, Dermenev A, Dimova T, Dremin I, Epshteyn V, Ershov A, Gavrilenko M, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Iuzhakov A, Ivanchenko V, Ivanov Y, Kachanov V, Kalinin A, Kamenev A, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirsanov M, Kodolova O, Konstantinov D, Korotkikh V, Krasnikov N, Kuznetsova E, Lanev A, Litomin A, Lukina O, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Oskin A, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Petrushanko S, Pivovarov G, Polikarpov S, Popov V, Safronov G, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Smirnov I, Smirnov V, Snigirev A, Sosnov D, Spiridonov A, Stepennov A, Gonzalez JS, Sukhikh L, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisov D, Toms M, Toropin A, Uvarov L, Uzunian A, Vardanyan I, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Azimuthal Correlations within Exclusive Dijets with Large Momentum Transfer in Photon-Lead Collisions. PHYSICAL REVIEW LETTERS 2023; 131:051901. [PMID: 37595238 DOI: 10.1103/physrevlett.131.051901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/11/2022] [Accepted: 02/15/2023] [Indexed: 08/20/2023]
Abstract
The structure of nucleons is multidimensional and depends on the transverse momenta, spatial geometry, and polarization of the constituent partons. Such a structure can be studied using high-energy photons produced in ultraperipheral heavy-ion collisions. The first measurement of the azimuthal angular correlations of exclusively produced events with two jets in photon-lead interactions at large momentum transfer is presented, a process that is considered to be sensitive to the underlying nuclear gluon polarization. This study uses a data sample of ultraperipheral lead-lead collisions at sqrt[s_{NN}]=5.02 TeV, corresponding to an integrated luminosity of 0.38 nb^{-1}, collected with the CMS experiment at the LHC. The measured second harmonic of the correlation between the sum and difference of the two jet transverse momentum vectors is found to be positive, and rising, as the dijet transverse momentum increases. A well-tuned model that has been successful at describing a wide range of proton scattering data from the HERA experiments fails to describe the observed correlations, suggesting the presence of gluon polarization effects.
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Xu S, Liu D, Kuang Y, Li R, Wang J, Shi M, Zou Y, Qiu Q, Liang L, Xiao Y, Xu H. Long Noncoding RNA HAFML Promotes Migration and Invasion of Rheumatoid Fibroblast-like Synoviocytes. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:135-147. [PMID: 36458981 DOI: 10.4049/jimmunol.2200453] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/02/2022] [Indexed: 01/04/2023]
Abstract
The aggressive phenotype exhibited by fibroblast-like synoviocytes (FLSs) is critical for the progression of joint destruction in rheumatoid arthritis (RA). Long noncoding RNAs (lncRNAs) have crucial roles in the pathogenesis of diverse disorders; however, few have been identified that might be able to control the joint damage in RA. In this study, we identified an lncRNA, ENST00000509194, which was expressed at abnormally high levels in FLSs and synovial tissues from patients with RA. ENST00000509194 positively modulates the migration and invasion of FLSs by interacting with human Ag R (HuR, also called ELAVL1), an RNA-binding protein that mainly stabilizes mRNAs. ENST00000509194 binds directly to HuR in the cytoplasm to form a complex that promotes the expression of the endocytic adaptor protein APPL2 by stabilizing APPL2 mRNA. Knockdown of HuR or APPL2 impaired the migration and invasion of RA FLSs. Given its close association with HuR and FLS migration, we named ENST00000509194 as HAFML (HuR-associated fibroblast migratory lncRNA). Our findings suggest that an increase in synovial HAFML might contribute to FLS-mediated rheumatoid synovial aggression and joint destruction, and that the lncRNA HAFML might be a potential therapeutic target for dysregulated fibroblasts in a wide range of diseases.
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Tumasyan A, Adam W, Bergauer T, Dragicevic M, Erö J, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Madlener T, Mikulec I, Pitters FM, Rad N, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Zarucki M, Chekhovsky V, Litomin A, Makarenko V, Gonzalez JS, Darwish MR, De Wolf EA, Croce DD, Janssen T, Kello T, Lelek A, Pieters M, Sfar HR, Haevermaet HV, Mechelen PV, Putte SV, Remortel NV, Blekman F, Bols ES, Chhibra SS, D’Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Morton A, Python Q, Tavernier S, Doninck WV, Mulders PV, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Velde CV, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Gruchala M, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Bury F, Caputo C, David P, Delaere C, Delcourt M, Donertas IS, Giammanco A, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Vischia P, Wuyckens S, Zobec J, Alves GA, Hensel C, Moraes A, Júnior WLA, Chagas EBBD, MALBOUISSON HBRANDAO, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De JesusDamiao D, De Souza SF, Martins J, Figueiredo DM, Jaime MM, Herrera CM, Mundim L, Nogima H, Teles PR, Rosas LJS, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva DeAraujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Atanassov I, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Bonchev M, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Fang W, Guo Q, Wang H, Yuan L, Ahmad M, Hu Z, Wang Y, Chapon E, Chen GM, Chen HS, Chen M, Javaid T, Kapoor A, Leggat D, Liao H, Liu ZA, Sharma R, Spiezia A, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, Ban Y, Chen C, Huang Q, Levin A, Li Q, Lu M, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, You Z, Gao X, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Sarkar A, Delgado MAS, Jaramillo J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Arbelaez NV, Giljanovic D, Godinovic N, Lelas D, Puljak I, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Tsiakkouri D, Finger M, Finger M, Kveton A, Tomsa J, Ayala E, Jarrin EC, Abdalla H, Assran Y, Mohamed A, Mahmoud MA, Mohammed Y, Bhowmik S, De Oliveira ACA, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Brücken E, Garcia F, Havukainen J, Karimäki V, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Laurila S, Lehti S, Lindén T, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin M, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Charlot C, Davignon O, Diab B, Falmagne G, de Cassagnac RG, Hakimi A, Kucher I, Lobanov A, Perez CM, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Fontaine JC, Gelé D, Goerlach U, Grimault C, Bihan ACL, Hove PV, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Jain S, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Torterotot L, Touquet G, Donckt MV, Viret S, Adamov G, Tsamalaidze Z, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Preuten M, Rauch MP, Schulz J, Teroerde M, Eliseev D, 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D, Schäfer D, Schnepf M, Schröder M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Wassmer M, Weber M, Wolf R, Wozniewski S, Anagnostou G, Asenov P, Daskalakis G, Geralis T, Kyriakis A, Loukas D, Paspalaki G, Stakia A, Diamantopoulou M, Karasavvas D, Karathanasis G, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Mallios S, Manitara K, Manthos N, Papadopoulos I, Strologas J, Bartók M, Chudasama R, Csanad M, Gadallah MMA, Lökös S, Major P, Mandal K, Mehta A, Pasztor G, Surányi O, Veres GI, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Vesztergombi G, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Choudhury S, Komaragiri JR, Kumar D, Panwar L, Tiwari PC, Bahinipati S, Dash D, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Sahoo DK, Sur N, Swain SK, Bansal S, Beri SB, Bhatnagar V, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur S, Kumari P, Meena M, Sandeep K, Sharma S, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Garg RB, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Ghosh S, Gomber B, Maity M, Nandan S, Palit P, Purohit A, Rout PK, Saha G, Sarkar S, Sharan M, Singh B, Thakur S, Behera PK, Behera SC, Kalbhor P, Muhammad A, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Dutta D, Kumar V, Naskar K, Netrakanti PK, Pant LM, Shukla P, Aziz T, Bhat MA, Dugad S, Verma RK, Mohanty GB, Sarkar U, Banerjee S, Bhattacharya S, Chatterjee S, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Roy D, Dube S, Kansal B, Pandey S, Rane A, Rastogi A, Sharma S, Bakhshiansohi H, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Felcini M, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, 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Beschi A, Brivio F, Cetorelli F, Ciriolo V, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Malberti M, Malvezzi S, Menasce D, Monti F, Moroni L, Paganoni M, Pedrini D, Ragazzi S, de Fatis TT, Valsecchi D, Zuolo D, Buontempo S, Cavallo N, De Iorio A, Fabozzi F, Fienga F, Iorio AOM, Lista L, Meola S, Paolucci P, Rossi B, Sciacca C, Voevodina E, Azzi P, Bacchetta N, Bisello D, Boletti A, Bragagnolo A, Carlin R, Checchia P, De CastroManzano P, Dorigo T, Gasparini F, Gasparini U, Hoh SY, Layer L, Margoni M, Meneguzzo AT, Presilla M, Ronchese P, Rossin R, Simonetto F, Strong G, Tiko A, Tosi M, YARAR H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aime‘ C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Ratti SP, Re V, Ressegotti M, Riccardi C, Salvini P, Vai I, Vitulo P, Biasini M, Bilei GM, Ciangottini D, Fanò L, Lariccia P, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Rossi A, Santocchia A, Spiga D, Tedeschi T, Androsov K, Azzurri P, Bagliesi G, Bertacchi V, Bianchini L, Boccali T, Castaldi R, Ciocci MA, Dell’Orso R, Domenico MRD, Donato S, Giannini L, Giassi A, Grippo MT, Ligabue F, Manca E, Mandorli G, Messineo A, Palla F, Ramirez-Sanchez G, Rizzi A, Rolandi G, Chowdhury SR, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Cavallari F, Cipriani M, Re DD, Marco ED, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Cappati A, Cartiglia N, Cometti S, Costa M, Covarelli R, Demaria N, Kiani B, Legger F, Mariotti C, Maselli S, Migliore E, Monaco V, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Angioni GLP, Ruspa M, Salvatico R, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Trocino D, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Vazzoler F, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Radburn-Smith BC, Sekmen S, Yang YC, Kim H, Moon DH, Francois B, Kim TJ, Park J, Cho S, Choi S, Go Y, Ha S, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Gurtu A, Kim HS, Kim Y, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee K, Lee S, Nam K, Oh BH, Oh M, Oh SB, Seo H, Yang UK, Yoon I, Jeon D, Kim JH, Ko B, Lee JSH, Park IC, Roh Y, Song D, Watson IJ, Yoo HD, Choi Y, Hwang C, Jeong Y, Lee H, Lee Y, Yu I, Maghrbi Y, Veckalns V, Juodagalvis A, Rinkevicius A, Tamulaitis G, Abdullah WATW, Yusli MN, Zolkapli Z, Benitez JF, Hernandez AC, Quijada JAM, Palomo LV, Ayala G, Castilla-Valdez H, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Navarro DAP, Hernández AS, Moreno SC, Barrera CO, García MR, Valencia FV, Eysermans J, Pedraza I, Ibarguen HAS, Estrada CU, Pineda AM, Mijuskovic J, Raicevic N, Krofcheck D, Bheesette S, Butler PH, Ahmad A, Asghar MI, Awan MIM, 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Nikitenko A, Popov V, Safronov G, Spiridonov A, Stepennov A, Toms M, Vlasov E, Zhokin A, Aushev T, Bychkova O, Chadeeva M, Oskin A, Popova E, Rusinov V, Andreev V, Azarkin M, Dremin I, Kirakosyan M, Terkulov A, Belyaev A, Boos E, Dubinin M, Dudko L, Ershov A, Gribushin A, Klyukhin V, Kodolova O, Lokhtin I, Obraztsov S, Petrushanko S, Savrin V, Snigirev A, Blinov V, Dimova T, Kardapoltsev L, Ovtin I, Skovpen Y, Azhgirey I, Bayshev I, Kachanov V, Kalinin A, Konstantinov D, Petrov V, Ryutin R, Sobol A, Troshin S, Tyurin N, Uzunian A, Volkov A, Babaev A, Iuzhakov A, Okhotnikov V, Sukhikh L, Borchsh V, Ivanchenko V, Tcherniaev E, Adzic P, Cirkovic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Maestre JA, Fernández AÁ, Bachiller I, Luna MB, Bedoya C, Cifuentes JAB, Montoya CAC, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Ramos JPF, Flix J, Fouz MC, Alonso AG, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Holgado JL, Moran D, Tobar ÁN, Yzquierdo APC, Pelayo JP, Redondo I, Romero L, Navas SS, Soares MS, Triossi A, Gómez LU, Willmott C, Albajar C, de Trocóniz JF, Reyes-Almanza R, Gonzalez BA, Cuevas J, Erice C, Menendez JF, Folgueras S, Caballero IG, Cortezon EP, Álvarez CR, Sau JR, Bouza VR, Cruz SS, Trapote A, Cabrillo IJ, Calderon A, Quero BC, Campderros JD, Fernandez M, Manteca PJF, Gomez G, Rivero CM, Arbol PMRD, Matorras F, Gomez JP, Prieels C, Ricci-Tam F, Rodrigo T, Ruiz-Jimeno A, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Aarrestad TK, Abbaneo D, Akgun B, Auffray E, Auzinger G, Baechler J, Baillon P, Ball AH, Barney D, Bendavid J, Beni N, Bianco M, Bocci A, Bortignon P, Bossini E, Brondolin E, Camporesi T, Cerminara G, Cristella L, d’Enterria D, Dabrowski A, Daci N, Daponte V, David A, De Roeck A, Deile M, Maria RD, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Emriskova N, Fallavollita F, Fasanella D, Fiorendi S, Florent A, Franzoni G, Fulcher J, Funk W, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Guilbaud M, Gulhan D, Haranko M, Hegeman J, Iiyama Y, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Komm M, Kratochwil N, Lange C, Lecoq P, Long K, Lourenço C, Malgeri L, Mannelli M, Massironi A, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Ngadiuba J, Niedziela J, Orfanelli S, Orsini L, Pantaleo F, Pape L, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Rabady D, Racz A, Rieger M, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Schäfer C, Schwick C, Selvaggi M, Sharma A, Silva P, Snoeys W, Sphicas P, Steggemann J, Summers S, Tavolaro VR, Treille D, Tsirou A, Onsem GPV, Vartak A, Verzetti M, Wozniak KA, Zeuner WD, Caminada L, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Langenegger U, Rohe T, Backhaus M, Berger P, Calandri A, Chernyavskaya N, De Cosa A, Dissertori G, Dittmar M, Donegà M, Dorfer C, Gadek T, Espinosa TAG, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Meinhard MT, Micheli F, Nessi-Tedaldi F, Pauss F, Perovic V, Perrin G, Perrozzi L, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Ruini D, Becerra DAS, Schönenberger M, Stampf V, Olsson MLV, Wallny R, Zhu DH, Amsler C, Botta C, Brzhechko D, Canelli MF, Burgo RD, Heikkilä JK, Huwiler M, Jofrehei A, Kilminster B, Leontsinis S, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Rauco G, Reimers A, Robmann P, Schweiger K, Takahashi Y, Wertz S, Adloff C, Kuo CM, Lin W, Roy A, Sarkar T, Yu SS, Ceard L, Chang P, Chao Y, Chen KF, Chen PH, Hou WS, Li YY, Lu RS, Paganis E, Psallidas A, Steen A, Yazgan E, Asavapibhop B, Asawatangtrakuldee C, Srimanobhas N, Boran F, Damarseckin S, Demiroglu ZS, Dolek F, Dozen C, Dumanoglu I, Eskut E, Gokbulut G, Guler Y, Guler EG, Hos I, Isik C, Kangal EE, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Zorbakir IS, Zorbilmez C, Isildak B, Karapinar G, Ocalan K, Yalvac M, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Yetkin EA, Cakir A, Cankocak K, Komurcu Y, Sen S, Sen FA, Cerci S, Kaynak B, Ozkorucuklu S, Cerci DS, Grynyov B, Levchuk L, Bhal E, Bologna S, Brooke JJ, Clement E, Cussans D, Flacher H, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Sakuma T, Nasr-Storey SSE, Smith VJ, Taylor J, Titterton A, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Ellis KV, Harder K, Harper S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Schuh T, Shepherd-Themistocleous CH, Thea A, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Buchmuller O, Bundock A, Cepaitis V, Chahal GS, Colling D, Dauncey P, Davies G, Negra MD, Fedi G, Hall G, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Milosevic V, Nash J, Palladino V, Pesaresi M, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Stoye M, Tapper A, Uchida K, Virdee T, Wardle N, Webb SN, Winterbottom D, Zecchinelli AG, Cole JE, Hobson PR, Khan A, Kyberd P, Mackay CK, Reid ID, Teodorescu L, Zahid S, Brinkerhoff A, Call K, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, Madrid C, McMaster B, Pastika N, Sawant S, Smith C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Buccilli A, Charaf O, Cooper SI, Gleyzer SV, Henderson C, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Gastler D, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Duh YT, Hadley M, Heintz U, Hogan JM, Kwok KHM, Laird E, Landsberg G, Lau KT, Lee J, Narain M, Sagir S, Syarif R, Usai E, Wong WY, Yu D, Zhang W, Band R, Brainerd C, Breedon R, De La BarcaSanchez MC, Chertok M, Conway J, Conway R, Cox PT, Erbacher R, Flores C, Funk G, Jensen F, Ko W, Kukral O, Lander R, Mulhearn M, Pellett D, Pilot J, Shi M, Taylor D, Tos K, Tripathi M, Yao Y, Zhang F, Bachtis M, Cousins R, Dasgupta A, Hamilton D, Hauser J, Ignatenko M, Lam T, Mccoll N, Nash WA, Regnard S, Saltzberg D, Schnaible C, Stone B, Valuev V, Burt K, Chen Y, Clare R, Gary JW, Shirazi SMAG, Hanson G, Karapostoli G, Long OR, Manganelli N, Negrete MO, Paneva MI, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Duarte J, Gerosa R, Gilbert D, Krutelyov V, Letts J, Masciovecchio M, May S, Padhi S, Pieri M, Sharma V, Tadel M, Würthwein F, Yagil A, Amin N, Campagnari C, Citron M, Dorsett A, Dutta V, Incandela J, Marsh B, Mei H, Ovcharova A, Qu H, Quinnan M, Richman J, Sarica U, Stuart D, Wang S, Anderson D, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Pata J, Spiropulu M, Vlimant JR, Xie S, Zhang Z, Zhu RY, Alison J, Andrews MB, Ferguson T, Mudholkar T, Paulini M, Sun M, Vorobiev I, Cumalat JP, Ford WT, MacDonald E, Mulholland T, Patel R, Perloff A, Stenson K, Ulmer KA, Wagner SR, Alexander J, Cheng Y, Chu J, Cranshaw DJ, Datta A, Frankenthal A, Mcdermott K, Monroy J, Patterson JR, Quach D, Ryd A, Sun W, Tan SM, Tao Z, Thom J, Wittich P, Zientek M, Abdullin S, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Beretvas A, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cremonesi M, Elvira VD, Freeman J, Gecse Z, Gottschalk E, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Hasegawa S, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klabbers P, Klijnsma T, Klima B, Kortelainen MJ, Lammel S, Lincoln D, Lipton R, Liu M, Liu T, Lykken J, Maeshima K, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, O’Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Hall AR, Ristori L, Schneider B, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Woodard A, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Rosenzweig D, Shi K, Wang J, Wang S, Zuo X, Adams T, Askew A, Diaz D, Habibullah R, Hagopian S, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Noonan D, Rahmani M, Saunders M, Yumiceva F, Adams MR, Apanasevich L, Gonzalez HB, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Mills C, Oh G, Roy T, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Alhusseini M, Dilsiz K, Durgut S, Gandrajula RP, Haytmyradov M, Khristenko V, Köseyan OK, Merlo JP, Mestvirishvili A, Moeller A, Nachtman J, Ogul H, Onel Y, Ozok F, Penzo A, Snyder C, Tiras E, Wetzel J, Yi K, Amram O, Blumenfeld B, Corcodilos L, Eminizer M, Gritsan AV, Kyriacou S, Maksimovic P, Mantilla C, Roskes J, Swartz M, Vámi T, Barrera CB, Baringer P, Bean A, Bylinkin A, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lindsey C, Minafra N, Murray M, Rogan C, Royon C, Sanders S, Schmitz E, Takaki JDT, Wang Q, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Mohammadi A, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Feng Y, Hadley NJ, Jabeen S, Jeng GY, Kellogg RG, Koeth T, Mignerey AC, Nabili S, Seidel M, Skuja A, Tonwar SC, Wang L, Wong K, Abercrombie D, Allen B, Bi R, Brandt S, Busza W, Cali IA, Chen Y, D’Alfonso M, Ceballos GG, Goncharov M, Harris P, Hsu D, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Luckey PD, Maier B, Marini AC, Mcginn C, Mironov C, Narayanan S, Niu X, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Sumorok K, Tatar K, Velicanu D, Wang J, Wang TW, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Guts S, Hansen P, Hiltbrand J, Jain S, Krohn M, Kubota Y, Lesko Z, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Acosta JG, Oliveros S, Bloom K, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Fernández JRG, Kravchenko I, Siado JE, Snow GR, Stieger B, Tabb W, Yan F, Agarwal G, Bandyopadhyay H, Harrington C, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Karmgard DJ, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Taroni S, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Mahakud B, Negro G, Neumeister N, Peng CC, Piperov S, Qiu H, Schulte JF, Stojanovic M, Trevisani N, Wang F, Xiao R, Xie W, Cheng T, Dolen J, Parashar N, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Leiton AGS, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Sturdy J, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Ruggles T, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W. Measurements of the associated production of a W boson and a charm quark in proton-proton collisions at s = 8 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:1094. [PMID: 36507928 PMCID: PMC9722925 DOI: 10.1140/epjc/s10052-022-10897-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 10/09/2022] [Indexed: 05/25/2023]
Abstract
Measurements of the associated production of a W boson and a charm ( c ) quark in proton-proton collisions at a centre-of-mass energy of 8TeV are reported. The analysis uses a data sample corresponding to a total integrated luminosity of 19.7fb - 1 collected by the CMS detector at the LHC. The W bosons are identified through their leptonic decays to an electron or a muon, and a neutrino. Charm quark jets are selected using distinctive signatures of charm hadron decays. The product of the cross section and branching fraction σ ( pp → W + c + X ) B ( W → ℓ ν ) , where ℓ = e or μ , and the cross section ratio σ ( pp → W + + c ¯ + X ) / σ ( pp → W - + c + X ) are measured in a fiducial volume and differentially as functions of the pseudorapidity and of the transverse momentum of the lepton from the W boson decay. The results are compared with theoretical predictions. The impact of these measurements on the determination of the strange quark distribution is assessed.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Fund
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- National Science Center, Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 14.W03.31.0026 and FSWW-2020-0008
- Russian Foundation for Basic Research, project No.19-42-703014
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Stavros Niarchos Foundation
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- GridPP, University of Oxford, Oxford
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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Lim H, Shi M, Rahim A, Vardy L. 598 The polyamines spermidine and spermine are essential regulators of epidermal differentiation and cell migration during wound healing. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Liu C, Ma R, Zhao L, Shi M. RBM3 Induced Immune Resistance through Modulating Tumor Microenvironment in Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Nomura Y, Ashraf R, Shi M, Xing L. Deep Learning-Based Fluorescence Light Discrimination for High Spatial Resolution Radiotherapy Dose Verification. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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