555 research outputs found
Myeloid-derived Suppressor Cells in Glioblastoma Patients - Phenotype, Function and Clinical Relevance
Myeloid-derived suppressor cells (MDSCs) comprise a heterogeneous population of myeloid cells that are significantly expanded in cancer patients and are associated with tumor progression. Multicolor flow cytometry was used to study the frequency, phenotype, and function of MDSCs in peripheral blood and
freshly resected tumors of 52 participants with primary glioblastoma (GBM). This thesis provides a detailed characterization of different MDSC subsets in GBM patients and indicate that both granulocytic MDSCs in peripheral blood and at the tumor site play a major role in GBM-induced T-cell suppression
Recurrence of chronic subdural hematoma due to low-grade infection
Despite the high incidence and multitudes of operative techniques, the risk factors for chronic subdural hematoma (CSDH) recurrence are still under debate and a universal consensus on the pathophysiology is lacking. We hypothesized that clinically inapparent, a low-grade infection could be responsible for CSDH recurrence. This investigation is a single-center prospective observational study including patients with recurrent CSDH. In total, 44 patients with CSDH recurrence received an intraoperative swab-based microbiological test. The intraoperative swab revealed an inapparent low-grade hematoma infection in 29% of the recurrent CSDH cases. The majority (69%) of the identified germs belonged to the staphylococcus genus. We therefore, propose a novel potential pathophysiology for CSDH recurrence
Influence of baryons on the orbital structure of dark matter haloes
We explore the dynamical signatures imprinted by baryons on dark matter
haloes during the formation process using the OverWhelmingly Large Simulations
(OWLS), a set of state-of-the-art high-resolution cosmological hydrodynamical
simulations. We present a detailed study of the effects of the implemented
feedback prescriptions on the orbits of dark matter particles, stellar
particles and subhaloes, analysing runs with no feedback, with stellar feedback
and with feedback from supermassive black holes. We focus on the central
regions (0.25 r_{200}) of haloes with virial masses ~ 6 x 10^{13} (~ 7 x
10^{11}) Msun/h at z = 0(2). We also investigate how the orbital content
(relative fractions of the different orbital types) of these haloes depends on
several key parameters such as their mass, redshift and dynamical state. The
results of spectral analyses of the orbital content of these simulations are
compared, and the change in fraction of box, tube and irregular orbits is
quantified. Box orbits are found to dominate the orbital structure of dark
matter haloes in cosmological simulations. There is a strong anticorrelation
between the fraction of box orbits and the central baryon fraction. While
radiative cooling acts to reduce the fraction of box orbits, strong feedback
implementations result in a similar orbital distribution to that of the dark
matter only case. The orbital content described by the stellar particles is
found to be remarkably similar to that drawn from the orbits of dark matter
particles, suggesting that either they have forgotten their dynamical history,
or that subhaloes bringing in stars are not biased significantly with respect
to the main distribution. The orbital content of the subhaloes is in broad
agreement with that seen in the outer regions of the particle distributions.Comment: 18 pages, 13 figures, 3 tables. Accepted for publication in MNRA
Ongoing Assembly of Massive Galaxies by Major Merging in Large Groups and Clusters from the SDSS
We investigate the incidence of major mergers creating >10e11 Msun galaxies
in present-day groups and clusters more massive than 2.5e13 Msun. We identify
38 pairs of massive galaxies with mutual tidal interaction signatures selected
from >5000 galaxies with >5e10 Msun that reside in 845 such groups. We fit the
images of each galaxy pair as the line-of-sight projection of symmetric models
and identify mergers by the presence of residual asymmetries around each
progenitor, such as off-center isophotes, broad tidal tails, and dynamical
friction wakes. At the resolution and sensitivity of the SDSS, such mergers are
found in 16% of high-mass, galaxy-galaxy pairs with magnitude differences of
<1.5 and <30 kpc projected separations. We find that 90% of these mergers have
nearly equal-mass progenitors with red-sequence colors and
centrally-concentrated morphologies, the hallmarks of dissipationless merger
simulations. Mergers at group centers are more common than between 2
satellites, but both are morphologically indistinguishable and we tentatively
conclude that the latter are likely located at the dynamical centers of
recently accreted subhalos. The frequency of central and satellite merging
diminishes with group mass consistent with dynamical friction expectations.
Based on reasonable assumptions, the centers of these massive halos are growing
in stellar mass by 1-9% per Gyr, on average. Compared to all LRG-LRG mergers,
we find a 2-9 times higher rate for their merging when restricted to these
dense environments. Our results imply that the massive end of the galaxy
population continues to evolve hierarchically at a measurable level, and that
the centers of massive groups are the preferred environment for merger-driven
galaxy assembly. (abridged)Comment: 48 pages, 21 figures. Submitted for publication in MNRAS. Version
with full resolution figures at
http://www.astro.umass.edu/~dmac/Preprints/mergers.hires.pd
Frailty in cerebellar ischemic strokeâThe significance of temporal muscle thickness
While comprising only 2% of all ischemic strokes, cerebellar strokes are responsible for substantial morbidity and mortality due to their subtle initial presentation and the morbidity of posterior fossa swelling. Furthermore, low temporal muscle thickness (TMT) has recently been identified as a prognostic imaging parameter to assess patient frailty and outcome. We analyzed radiological and clinical data sets of 282 patients with cerebellar ischemic stroke. Our analysis showed a significant association between low TMT, reduced NIHSS and mRS at discharge (p = 0.035, p = 0.004), and reduced mRS at 12 months (p = 0.001). TMT may be used as a prognostic imaging marker and objective tool to assess outcomes in patients with cerebellar ischemic stroke
Barred Galaxies in the Abell 901/2 Supercluster with STAGES
We present a study of bar and host disk evolution in a dense cluster
environment, based on a sample of ~800 bright (MV <= -18) galaxies in the Abell
901/2 supercluster at z~0.165. We use HST ACS F606W imaging from the STAGES
survey, and data from Spitzer, XMM-Newton, and COMBO-17. We identify and
characterize bars through ellipse-fitting, and other morphological features
through visual classification. (1) We explore three commonly used methods for
selecting disk galaxies. We find 625, 485, and 353 disk galaxies, respectively,
via visual classification, a single component S'ersic cut (n <= 2.5), and a
blue-cloud cut. In cluster environments, the latter two methods miss 31% and
51%, respectively, of visually-identified disks. (2) For moderately inclined
disks, the three methods of disk selection yield a similar global optical bar
fraction (f_bar-opt) of 34% +10%/-3%, 31% +10%/-3%, and 30% +10%/-3%,
respectively. (3) f_bar-opt rises in brighter galaxies and those which appear
to have no significant bulge component. Within a given absolute magnitude bin,
f_bar-opt is higher in visually-selected disk galaxies that have no bulge as
opposed to those with bulges. For a given morphological class, f_bar-opt rises
at higher luminosities. (4) For bright early-types, as well as faint late-type
systems with no evident bulge, the optical bar fraction in the Abell 901/2
clusters is comparable within a factor of 1.1 to 1.4 to that of field galaxies
at lower redshifts (5) Between the core and the virial radius of the cluster at
intermediate environmental densities, the optical bar fraction does not appear
to depend strongly on the local environment density and varies at most by a
factor of ~1.3. We discuss the implications of our results for the evolution of
bars and disks in dense environments.Comment: accepted for publication in ApJ, abstract abridged, for high
resolution figures see
http://www.as.utexas.edu/~marinova/STAGES/STAGES_bars.pd
Haloes gone MAD: The Halo-Finder Comparison Project
[abridged] We present a detailed comparison of fundamental dark matter halo
properties retrieved by a substantial number of different halo finders. These
codes span a wide range of techniques including friends-of-friends (FOF),
spherical-overdensity (SO) and phase-space based algorithms. We further
introduce a robust (and publicly available) suite of test scenarios that allows
halo finder developers to compare the performance of their codes against those
presented here. This set includes mock haloes containing various levels and
distributions of substructure at a range of resolutions as well as a
cosmological simulation of the large-scale structure of the universe. All the
halo finding codes tested could successfully recover the spatial location of
our mock haloes. They further returned lists of particles (potentially)
belonging to the object that led to coinciding values for the maximum of the
circular velocity profile and the radius where it is reached. All the finders
based in configuration space struggled to recover substructure that was located
close to the centre of the host halo and the radial dependence of the mass
recovered varies from finder to finder. Those finders based in phase space
could resolve central substructure although they found difficulties in
accurately recovering its properties. Via a resolution study we found that most
of the finders could not reliably recover substructure containing fewer than
30-40 particles. However, also here the phase space finders excelled by
resolving substructure down to 10-20 particles. By comparing the halo finders
using a high resolution cosmological volume we found that they agree remarkably
well on fundamental properties of astrophysical significance (e.g. mass,
position, velocity, and peak of the rotation curve).Comment: 27 interesting pages, 20 beautiful figures, and 4 informative tables
accepted for publication in MNRAS. The high-resolution version of the paper
as well as all the test cases and analysis can be found at the web site
http://popia.ft.uam.es/HaloesGoingMA
A glutamatergic biomarker panel enables differentiating Grade 4 gliomas/astrocytomas from brain metastases
BackgroundThe differentiation of high-grade glioma and brain tumors of an extracranial origin is eminent for the decision on subsequent treatment regimens. While in high-grade glioma, a surgical resection of the tumor mass is a fundamental part of current standard regimens, in brain metastasis, the burden of the primary tumor must be considered. However, without a cancer history, the differentiation remains challenging in the imaging. Hence, biopsies are common that may help to identify the tumor origin. An additional tool to support the differentiation may be of great help. For this purpose, we aimed to identify a biomarker panel based on the expression analysis of a small sample of tissue to support the pathological analysis of surgery resection specimens. Given that an aberrant glutamate signaling was identified to drive glioblastoma progression, we focused on glutamate receptors and key players of glutamate homeostasis.MethodsBased on surgically resected samples from 55 brain tumors, the expression of ionotropic and metabotropic glutamate receptors and key players of glutamate homeostasis were analyzed by RT-PCR. Subsequently, a receiver operating characteristic (ROC) analysis was performed to identify genes whose expression levels may be associated with either glioblastoma or brain metastasis.ResultsOut of a total of 29 glutamatergic genes analyzed, nine genes presented a significantly different expression level between high-grade gliomas and brain metastases. Of those, seven were identified as potential biomarker candidates including genes encoding for AMPA receptors GRIA1, GRIA2, kainate receptors GRIK1 and GRIK4, metabotropic receptor GRM3, transaminase BCAT1 and the glutamine synthetase (encoded by GLUL). Overall, the biomarker panel achieved an accuracy of 88% (95% CI: 87.1, 90.8) in predicting the tumor entity. Gene expression data, however, could not discriminate between patients with seizures from those without.ConclusionWe have identified a panel of seven genes whose expression may serve as a biomarker panel to discriminate glioblastomas and brain metastases at the molecular level. After further validation, our biomarker signatures could be of great use in the decision making on subsequent treatment regimens after diagnosis
Halo Shapes From Weak Lensing: The Impact of Galaxy--Halo Misalignment
We analyse the impact of galaxy--halo misalignment on the ability of weak
lensing studies to constrain the shape of dark matter haloes, using a
combination of the Millennium dark matter N-body simulation and different
semi-analytic galaxy formation models, as well as simpler Monte Carlo tests.
Since the distribution of galaxy--halo alignments is not known in detail, we
test various alignment models, together with different methods of determining
the halo shape. In addition to alignment, we examine the interplay of halo mass
and shape, and galaxy colour and morphology with the resulting stacked
projected halo shape. We find that only in the case where significant numbers
of galaxy and halo minor axes are parallel does the stacked, projected halo
axis ratio fall below 0.95. When using broader misalignment distributions, such
as those found in recent simulations of galaxy formation, the halo ellipticity
signal is washed out and would be extremely difficult to measure
observationally. It is important to note that the spread in stacked halo axis
ratio due to theoretical unknowns (differences between semi-analytic models,
and between alignment models) are much bigger than any statistical uncertainty:
It is naive to assume that, simply because LCDM predicts aspherical haloes, the
stacked projected shape will be elliptical. In fact, there is no robust LCDM
prediction yet for this procedure, and the interpretation of any such
elliptical halo signal from lensing in terms of physical halo properties will
be extremely difficult.Comment: 22 pages, 19 figures, accepted for publication in MNRAS. Minor
changes for clarification and correcting typeo
Dexamethasone treatment limits efficacy of radiation, but does not interfere with glioma cell death induced by tumor treating fields
Purpose: Dexamethasone (Dex) is the most common corticosteroid to treat edema in glioblastoma (GBM) patients. Recent studies identified the addition of Dex to radiation therapy (RT) to be associated with poor survival. Independently, Tumor Treating Fields (TTFields) provides a novel anti-cancer modality for patients with primary and recurrent GBM. Whether Dex influences the efficacy of TTFields, however, remains elusive. Methods: Human GBM cell lines MZ54 and U251 were treated with RT or TTFields in combination with Dex and the effects on cell counts and cell death were determined via flow cytometry. We further performed a retrospective analysis of GBM patients with TTFields treatment +/- concomitant Dex and analysed its impact on progression-free (PFS) and overall survival (OS). Results: The addition of Dex significantly reduced the efficacy of RT in U251, but not in MZ54 cells. TTFields (200 kHz/250 kHz) induced massive cell death in both cell lines. Concomitant treatment of TTFields and Dex did not reduce the overall efficacy of TTFields. Further, in our retrospective clinical analysis, we found that the addition of Dex to TTFields therapy did not influence PFS nor OS. Conclusion: Our translational investigation indicates that the efficacy of TTFields therapy in patients with GBM and GBM cell lines is not affected by the addition of Dex
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