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- Aamodt, K., et al.
(författare)
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The ALICE experiment at the CERN LHC
- 2008
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Ingår i: Journal of Instrumentation. - 1748-0221. ; 3:S08002
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Forskningsöversikt (refereegranskat)abstract
- ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions. Besides running with Pb ions, the physics programme includes collisions with lighter ions, lower energy running and dedicated proton-nucleus runs. ALICE will also take data with proton beams at the top LHC energy to collect reference data for the heavy-ion programme and to address several QCD topics for which ALICE is complementary to the other LHC detectors. The ALICE detector has been built by a collaboration including currently over 1000 physicists and engineers from 105 Institutes in 30 countries, Its overall dimensions are 16 x 16 x 26 m(3) with a total weight of approximately 10 000 t. The experiment consists of 18 different detector systems each with its own specific technology choice and design constraints, driven both by the physics requirements and the experimental conditions expected at LHC. The most stringent design constraint is to cope with the extreme particle multiplicity anticipated in central Pb-Pb collisions. The different subsystems were optimized to provide high-momentum resolution as well as excellent Particle Identification (PID) over a broad range in momentum, up to the highest multiplicities predicted for LHC. This will allow for comprehensive studies of hadrons, electrons, muons, and photons produced in the collision of heavy nuclei. Most detector systems are scheduled to be installed and ready for data taking by mid-2008 when the LHC is scheduled to start operation, with the exception of parts of the Photon Spectrometer (PHOS), Transition Radiation Detector (TRD) and Electro Magnetic Calorimeter (EMCal). These detectors will be completed for the high-luminosity ion run expected in 2010. This paper describes in detail the detector components as installed for the first data taking in the summer of 2008.
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- Schultz, Iman J, et al.
(författare)
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Gene expression analysis for the prediction of recurrence in patients with primary Ta urothelial cell carcinoma
- 2007
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Ingår i: European Urology. - : Elsevier BV. - 0302-2838 .- 1873-7560. ; 51:2, s. 416-423
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Tidskriftsartikel (refereegranskat)abstract
- Objectives The individual recurrence-free period after primary surgery of patients with Ta urothelial cell carcinoma (UCC) cannot be predicted accurately. This study aims at discriminating between patients with primary Ta UCC and long or short recurrence-free periods. Methods We investigated mRNA expression of 23 genes in 44 primary Ta tumours (23 and 21 tumours were from patients with long [≥4 yr] or short [≤2 yr] recurrence-free periods, respectively), using real-time quantitative polymerase chain reaction. The genes were selected from previously published studies and showed a relationship with tumour recurrence in patients with UCC. Results Differential mRNA expression between the two patient groups indicated statistical significance only for the gene survivin (p = 0.0011). Its recurrence predictive value could not be increased by a combination with any of the other genes. Comparison of the receiver operating characteristic curves for survivin expression between patients with long or short recurrence-free intervals revealed an area under the curve of 0.79 (95%CI, 0.65–0.92). Using the median expression (0.84) as cut-off level, survivin identified 71.4% (95%CI, 47.8–88.7) and 69.6% (95%CI, 47.1–86.8) of the patients with long or short recurrence-free periods, respectively. Conclusions Our study identifies survivin as the most promising candidate to distinguish between patients with primary Ta UCC and long or short recurrence-free intervals. Therefore, survivin mRNA expression analysis might help the urologist to individualise patient treatment and prevent unnecessary cystoscopies in a subgroup of these patients.
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- Schultz, Iman J., et al.
(författare)
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Prediction of recurrence in Ta urothelial cell carcinoma by real-time quantitative PCR analysis : a microarray validation study
- 2006
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Ingår i: International Journal of Cancer. - : Wiley. - 0020-7136 .- 1097-0215. ; 119:8, s. 1915-1919
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Tidskriftsartikel (refereegranskat)abstract
- Accurate prediction of tumor recurrence in patients with superficial urothelial cell carcinoma (UCC) might result in a significant reduction of invasive follow-up cystoscopies. A recent study identified a panel of 26 genes from a large cDNA microarray analysis of bladder tumors that discriminated between early- and late-recurring patients with superficial Ta tumors (Dyrskjot et al., Nat Genet 2003;33:90-6). We aimed to validate this panel of genes in 44 primary Ta UCCs (23 and 21 tumors from patients with short or prolonged recurrence-free periods, respectively), by real-time quantitative PCR. Statistical analysis showed marginal significant different mRNA expression levels between the 2 patient groups. To evaluate a supplementary effect of genes for the identification of patients with short or prolonged recurrence-free intervals, forward logistic regression analysis was applied. This revealed that a combination of the expression profiles of the genes HNRPK, LTB4DH and ANP32B resulted in the best performance, although the combination only marginally increased the predictive value of HNRPK alone. Comparing the receiver-operating-characteristic curves for HNRPK expression among patients with short or prolonged recurrence-free periods, revealed an area under the curve of 0.696 (95% CI, 0.537-0.855). Using the median HNRPK expression level as cut-off, a sensitivity of 69.6% and a specificity of 71.4% were obtained for the identification of patients with short or prolonged recurrence-free periods, respectively. In conclusion, we were not able to confirm the microarray gene expression pattern of the 26 genes shown by Dyrskjot et al. The discovery of accurate recurrence predictive markers, therefore, remains a challenge.
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