228 research outputs found

    242. Analiza ekspresji EGFR i angiogenezv w utkaniu niedrobnokomórkowego raka płuc oraz związku z czasem przeżycia pacjentów w stadiach zaawansowania klinicznego I-IIIA

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    Cel pracyWciąż niezadowalające wskaźniki przeżycia pacjentów z rakiem płuca, mimo radykalnego leczenia operacyjnego, skłaniają do poszukiwań nowych czynników prognostycznych. Wiadomym jest, że receptor naskórkowego czynnika wzrostu (EGFR) wpływa na wzrost komórek guza i jego progresję, jak również tworzenie przerzutów – głównie poprzez oddziaływanie na tworzenie nowych naczyń krwionośnych. Jego prognostyczna rola u pacjentów z niedrobnokomórkowym rakiem płuca (NRP) jest niejasna. Natomiast gęstość naczyń krwionośnych (GNK), będąca miernikiem angiogenezy w guzie, jest podawana jako marker prognostyczny w wielu nowotworach. Celem naszego badania była ocena zależności między ekspresją EGFR i GNK w utkaniu guza nowotworowego a przeżyciem pacjentów z NRP.Materiał i metodyBadaniem objęto 75 pacjentów z NRP w stadiach zaawansowania klinicznego I-IIIA. Wycinki z guza pobierano z materiału operacyjnego, utrwalonego w formalinie. Na uzyskanych skrawkach parafinowych wykonywano odczyny immunohistochemiczne z zastosowaniem monoklonalnego przeciwciała przeciw receptorowi naskórkowego czynnika wzrostu oraz monoklonalnego przeciwciała przeciw CD31.WynikiWśród 75 pacjentów było 5 kobiet (6.7%) i 70 mężczyzn (93.3%) w wieku od 42 lat do 74 lat (średnio 59 lat). W badanej grupie chorych stwierdzono raka płaskonabłonkowego u 53 pacjentów (70.7%), gruczolakoraka u 11 chorych (14.7%) i raka wielkokomórkowego także u 11 pacjentów. Analizując uzyskane dane nie stwierdzono istotności statystycznej między ekspresją EGFR i czasem przeżycia pacjentów. Również GNK nie miała istotnego wpływu na przeżycie pacjentów. Jedynie stan węzłów chłonnych (cecha N; p<0.05), typ histologiczny raka (p<0.001) oraz wiek (p<0.05) w badanej grupie chorych miały istotny statystycznie wpływ na czas przeżycia.WnioskiUzyskane w tym badaniu wyniki nie są zgodne z wynikami innych doniesień mówiących o tym, że ekspresja EGFR i GNK w NRP mogą być traktowane jako czynniki prognostyczne. Należy jednak podkreślić, że analizowana grupa pacjentów była mała, a większość chorych (59 pacjentów, 78.7%) znajdowała się w stadium znacznego zaawansowania nowotworu

    A versatile panel of reference gene assays for the measurement of chicken mRNA by quantitative PCR

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    Quantitative real-time PCR assays are widely used for the quantification of mRNA within avian experimental samples. Multiple stably-expressed reference genes, selected for the lowest variation in representative samples, can be used to control random technical variation. Reference gene assays must be reliable, have high amplification specificity and efficiency, and not produce signals from contaminating DNA. Whilst recent research papers identify specific genes that are stable in particular tissues and experimental treatments, here we describe a panel of ten avian gene primer and probe sets that can be used to identify suitable reference genes in many experimental contexts. The panel was tested with TaqMan and SYBR Green systems in two experimental scenarios: a tissue collection and virus infection of cultured fibroblasts. GeNorm and NormFinder algorithms were able to select appropriate reference gene sets in each case. We show the effects of using the selected genes on the detection of statistically significant differences in expression. The results are compared with those obtained using 28s ribosomal RNA, the present most widely accepted reference gene in chicken work, identifying circumstances where its use might provide misleading results. Methods for eliminating DNA contamination of RNA reduced, but did not completely remove, detectable DNA. We therefore attached special importance to testing each qPCR assay for absence of signal using DNA template. The assays and analyses developed here provide a useful resource for selecting reference genes for investigations of avian biology

    The Large Array Survey Telescope -- System Overview and Performances

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    The Large Array Survey Telescope (LAST) is a wide-field visible-light telescope array designed to explore the variable and transient sky with a high cadence. LAST will be composed of 48, 28-cm f/2.2 telescopes (32 already installed) equipped with full-frame backside-illuminated cooled CMOS detectors. Each telescope provides a field of view (FoV) of 7.4 deg^2 with 1.25 arcsec/pix, while the system FoV is 355 deg^2 in 2.9 Gpix. The total collecting area of LAST, with 48 telescopes, is equivalent to a 1.9-m telescope. The cost-effectiveness of the system (i.e., probed volume of space per unit time per unit cost) is about an order of magnitude higher than most existing and under-construction sky surveys. The telescopes are mounted on 12 separate mounts, each carrying four telescopes. This provides significant flexibility in operating the system. The first LAST system is under construction in the Israeli Negev Desert, with 32 telescopes already deployed. We present the system overview and performances based on the system commissioning data. The Bp 5-sigma limiting magnitude of a single 28-cm telescope is about 19.6 (21.0), in 20 s (20x20 s). Astrometric two-axes precision (rms) at the bright-end is about 60 (30)\,mas in 20\,s (20x20 s), while absolute photometric calibration, relative to GAIA, provides ~10 millimag accuracy. Relative photometric precision, in a single 20 s (320 s) image, at the bright-end measured over a time scale of about 60 min is about 3 (1) millimag. We discuss the system science goals, data pipelines, and the observatory control system in companion publications.Comment: Submitted to PASP, 15p

    The Vanishing of the Primary Emission Region in PKS 1510-089

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    In 2021 July, PKS 1510-089 exhibited a significant flux drop in the high-energy γ-ray (by a factor 10) and optical (by a factor 5) bands and remained in this low state throughout 2022. Similarly, the optical polarization in the source vanished, resulting in the optical spectrum being fully explained through the steady flux of the accretion disk and the broad-line region. Unlike the aforementioned bands, the very-high-energy γ-ray and X-ray fluxes did not exhibit a significant flux drop from year to year. This suggests that the steady-state very-high-energy γ-ray and X-ray fluxes originate from a different emission region than the vanished parts of the high-energy γ-ray and optical jet fluxes. The latter component has disappeared through either a swing of the jet away from the line of sight or a significant drop in the photon production efficiency of the jet close to the black hole. Either change could become visible in high-resolution radio images

    COMAP Early Science: III. CO Data Processing

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    We describe the first season COMAP analysis pipeline that converts raw detector readouts to calibrated sky maps. This pipeline implements four main steps: gain calibration, filtering, data selection, and map-making. Absolute gain calibration relies on a combination of instrumental and astrophysical sources, while relative gain calibration exploits real-time total-power variations. High efficiency filtering is achieved through spectroscopic common-mode rejection within and across receivers, resulting in nearly uncorrelated white noise within single-frequency channels. Consequently, near-optimal but biased maps are produced by binning the filtered time stream into pixelized maps; the corresponding signal bias transfer function is estimated through simulations. Data selection is performed automatically through a series of goodness-of-fit statistics, including χ2\chi^2 and multi-scale correlation tests. Applying this pipeline to the first-season COMAP data, we produce a dataset with very low levels of correlated noise. We find that one of our two scanning strategies (the Lissajous type) is sensitive to residual instrumental systematics. As a result, we no longer use this type of scan and exclude data taken this way from our Season 1 power spectrum estimates. We perform a careful analysis of our data processing and observing efficiencies and take account of planned improvements to estimate our future performance. Power spectrum results derived from the first-season COMAP maps are presented and discussed in companion papers.Comment: Paper 3 of 7 in series. 26 pages, 23 figures, submitted to Ap

    COMAP Early Science: IV. Power Spectrum Methodology and Results

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    We present the power spectrum methodology used for the first-season COMAP analysis, and assess the quality of the current data set. The main results are derived through the Feed-feed Pseudo-Cross-Spectrum (FPXS) method, which is a robust estimator with respect to both noise modeling errors and experimental systematics. We use effective transfer functions to take into account the effects of instrumental beam smoothing and various filter operations applied during the low-level data processing. The power spectra estimated in this way have allowed us to identify a systematic error associated with one of our two scanning strategies, believed to be due to residual ground or atmospheric contamination. We omit these data from our analysis and no longer use this scanning technique for observations. We present the power spectra from our first season of observing and demonstrate that the uncertainties are integrating as expected for uncorrelated noise, with any residual systematics suppressed to a level below the noise. Using the FPXS method, and combining data on scales k=0.0510.62Mpc1k=0.051-0.62 \,\mathrm{Mpc}^{-1} we estimate PCO(k)=2.7±1.7×104μK2Mpc3P_\mathrm{CO}(k) = -2.7 \pm 1.7 \times 10^4\mu\textrm{K}^2\mathrm{Mpc}^3, the first direct 3D constraint on the clustering component of the CO(1-0) power spectrum in the literature.Comment: Paper 4 of 7 in series. 18 pages, 11 figures, as accepted in Ap

    COMAP Early Science: V. Constraints and Forecasts at z3z \sim 3

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    We present the current state of models for the z3z\sim3 carbon monoxide (CO) line-intensity signal targeted by the CO Mapping Array Project (COMAP) Pathfinder in the context of its early science results. Our fiducial model, relating dark matter halo properties to CO luminosities, informs parameter priors with empirical models of the galaxy-halo connection and previous CO(1-0) observations. The Pathfinder early science data spanning wavenumbers k=0.051k=0.051-0.620.62\,Mpc1^{-1} represent the first direct 3D constraint on the clustering component of the CO(1-0) power spectrum. Our 95% upper limit on the redshift-space clustering amplitude Aclust70μA_{\rm clust}\lesssim70\,\muK2^2 greatly improves on the indirect upper limit of 420μ420\,\muK2^2 reported from the CO Power Spectrum Survey (COPSS) measurement at k1k\sim1\,Mpc1^{-1}. The COMAP limit excludes a subset of models from previous literature, and constrains interpretation of the COPSS results, demonstrating the complementary nature of COMAP and interferometric CO surveys. Using line bias expectations from our priors, we also constrain the squared mean line intensity-bias product, Tb250μ\langle{Tb}\rangle^2\lesssim50\,\muK2^2, and the cosmic molecular gas density, ρH2<2.5×108M\rho_\text{H2}<2.5\times10^8\,M_\odot\,Mpc3^{-3} (95% upper limits). Based on early instrument performance and our current CO signal estimates, we forecast that the five-year Pathfinder campaign will detect the CO power spectrum with overall signal-to-noise of 9-17. Between then and now, we also expect to detect the CO-galaxy cross-spectrum using overlapping galaxy survey data, enabling enhanced inferences of cosmic star-formation and galaxy-evolution history.Comment: Paper 5 of 7 in series. 17 pages + appendix and bibliography (30 pages total); 15 figures, 6 tables; accepted for publication in ApJ; v3 reflects the accepted version with minor changes and additions to tex

    Joint European Society of Paediatric Radiology (ESPR) and International Society for Forensic Radiology and Imaging (ISFRI) guidelines: paediatric postmortem computed tomography imaging protocol

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    Postmortem CT for investigating childhood deaths is increasingly utilised as a noninvasive adjunct or alternative to standard autopsy; however there are no standardised published imaging protocols. This article describes a standardised imaging protocol that has been developed based on current practices of international postmortem imaging practitioners and experts. This recommendation is expected to be useful for postmortem imaging centres wishing to update their existing practices and for those starting paediatric postmortem CT as a new service
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