1. |
- Aad, G, et al.
(author)
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- 2015
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swepub:Mat__t
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2. |
- Canosa, Antonio, et al.
(author)
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A novel p.Ser108LeufsTer15 SOD1 mutation leading to the formation of a premature stop codon in an apparently sporadic ALS patient : insights into the underlying pathomechanisms
- 2018
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In: Neurobiology of Aging. - : Elsevier. - 0197-4580 .- 1558-1497. ; 72
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Journal article (peer-reviewed)abstract
- We report an apparently sporadic amyotrophic lateral sclerosis patient carrying a heterozygous novel frameshift SOD1 mutation (p.Ser108LeufsTer15), predicted to cause a premature protein truncation. RTPCR analysis of SOD1 mRNA and SDS-PAGE/Western blot analysis of PBMC demonstrated that mRNA from the mutant allele is expressed at levels similar to those of the wild-type allele, but the truncated protein is undetectable also in the insoluble fraction and after proteasome inhibition. Accordingly, the dismutation activity in erythrocytes is halved. Thus, the pathogenic mechanism associated with this mutation might be based on an insufficient activity of SOD1 that would make motor neurons more vulnerable to oxidative injury. However, it cannot be excluded that p.Ser108LeufsTer15 SOD1 is present in the nervous tissue and, being less charged and hence having less repulsive forces than the wild-type protein, may trigger toxic mechanisms as a consequence of its propensity to aggregate.
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3. |
- Aamodt, K., et al.
(author)
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The ALICE experiment at the CERN LHC
- 2008
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In: Journal of Instrumentation. - 1748-0221. ; 3:S08002
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Research review (peer-reviewed)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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4. |
- Guerini-Rocco, Elena, et al.
(author)
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Genomic aberrations and late recurrence in postmenopausal women with hormone receptor-positive early breast cancer: Results from the SOLE Trial.
- 2021
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In: Clinical cancer research : an official journal of the American Association for Cancer Research. - 1078-0432. ; 27:2, s. 504-512
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Journal article (peer-reviewed)abstract
- Women with hormone-receptor-positive early breast cancers have a persistent risk of relapse and biomarkers for late recurrence are needed. We sought to identify tumor genomic aberrations associated with increased late recurrence risk.In a secondary analysis of Study of Letrozole Extension (SOLE) trial, a case-cohort-like sampling selected 598 primary breast cancer for targeted next-generation sequencing (NGS) analysis of gene mutations and copy number gains (CNG). Correlations of genomic aberrations with clinicopathologic factors and breast and distant recurrence free-intervals (BCFI and DRFI) were analyzed using weighted Cox models.Analysis of mutations and CNG was successfully performed for 403 and 350 samples, including 148 and 134 patients with breast cancer recurrences (median follow-up time: 5.2 years), respectively. The most frequent alterations were PIK3CA mutations (42%) and CNGs of CCND1 (15%), ERBB2 (10%), FGFR1 (8%) and MYC (8%). PIK3CA mutations and MYC CNG were associated with lower (p=0.03) and higher (p=0.004) tumor grade respectively; a higher Ki67 was seen in tumor with CCND1, ERBB2 and MYC CNGs (p=0.01, <0.001 and 0.03 respectively). FGFR1 CNG was associated with an increased risk of late events in univariate analyses (17/29 patients; BCFI: HR=3.2, 95%CI: 1.48-6.92, p =0.003; DRFI: HR=3.5, 95%CI: 1.61-7.75, p=0.002) and in multivariable models adjusted for clinicopathologic factors.Postmenopausal women with hormone receptor-positive early breast cancer harboring FGFR1 CNG had an increased risk of late recurrence despite extended therapy. FGFR1 CNG may represent a useful prognostic biomarker for late recurrence and a therapeutic target.
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5. |
- Malapelle, Umberto, et al.
(author)
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Predictive molecular pathology in the time of coronavirus disease (COVID-19) in Europe
- 2021
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In: Journal of Clinical Pathology. - : BMJ. - 0021-9746 .- 1472-4146. ; 74:6, s. 391-395
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Journal article (peer-reviewed)abstract
- Aims Lung cancer predictive biomarker testing is essential to select advanced-stage patients for targeted treatments and should be carried out without delays even during health emergencies, such as the coronavirus (COVID-19) outbreak. Methods Fifteen molecular laboratories from seven different European countries compared 4 weeks of national lockdown to a corresponding period in 2019, in terms of tissue and/or plasma-based molecular test workload, analytical platforms adopted, number of cases undergoing programmed death-ligand1 (PD-L1) expression assessment and DNA-based molecular tests turnaround time. Results In most laboratories (80.0%), tissue-based molecular test workload was reduced. In 40.0% of laboratories (6/15), the decrease was >25%, and in one, reduction was as high as 80.0%. In this instance, a concomitant increase in liquid biopsy was reported (60.0%). Remarkably, in 33.3% of the laboratories, real-time PCR (RT-PCR)-based methodologies increased, whereas highly multiplexing assays approaches decreased. Most laboratories (88.9%) did not report significant variations in PD-L1 volume testing. Conclusions The workload of molecular testing for patients with advanced-stage lung cancer during the lockdown showed little variations. Local strategies to overcome health emergency-related issues included the preference for RT-PCR tissue-based testing methodologies and, occasionally, for liquid biopsy.
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7. |
- van Rheenen, W, et al.
(author)
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Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
- 2021
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In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 53:12, s. 1636-
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Journal article (peer-reviewed)abstract
- Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a lifetime risk of one in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry genome-wide association study (GWAS) including 29,612 patients with ALS and 122,656 controls, which identified 15 risk loci. When combined with 8,953 individuals with whole-genome sequencing (6,538 patients, 2,415 controls) and a large cortex-derived expression quantitative trait locus (eQTL) dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, short tandem repeats or regulatory effects. ALS-associated risk loci were shared with multiple traits within the neurodegenerative spectrum but with distinct enrichment patterns across brain regions and cell types. Of the environmental and lifestyle risk factors obtained from the literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. The combination of all ALS-associated signals reveals a role for perturbations in vesicle-mediated transport and autophagy and provides evidence for cell-autonomous disease initiation in glutamatergic neurons.
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8. |
- Aad, G., et al.
(author)
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- 2015
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Journal article (peer-reviewed)
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