115 research outputs found
Systematic analysis and prediction for disease burden of ovarian cancer attributable to hyperglycemia: a comparative study between China and the world from 1990 to 2019
BackgroundOvarian cancer is one of the most common female malignancies worldwide, and metabolic factors, such as hyperglycemia, are becoming potential risk factors. This study aimed to analyze the disease burden and its changing trend of ovarian cancer attributable to hyperglycemia in the Chinese population from 1990 to 2019.MethodsUsing the data released by the Global Burden of Disease study 2019 (GBD 2019), we analyze the disease burden of ovarian cancer attributable to hyperglycemia in Chinese from 1990 to 2019 via morbidity, death, disability-adjusted life years (DALY); compare it with the global population; and predict the incidence and death trend in Chinese women for the next 10 years (2020–2029).ResultsThe incidence, death cases, and DALY numbers of ovarian cancer attributable to hyperglycemia in Chinese in 2019 were 2,751, 1,758, and 44,615 person-years, respectively, with an increase of 352.5%, 356.6%, and 329.0% compared with 1990, and the growth rate was higher than the global level. The age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) in 2019 were 0.270/100,000, 0.164/100,000, and 4.103/100,000, respectively. Moreover, the average annual percent changes (AAPCs) were 2.3%, 2.0%, and 2.0%, respectively, all higher than the global average. The disease burden of ovarian cancer attributable to hyperglycemia increased with age, reaching a peak in the 45–75 age group. The prediction of the neural network model showed that the incidence and death of the disease would remain high and rise in the next 10 years.ConclusionThe disease burden caused by ovarian cancer attributable to hyperglycemia in Chinese accounts for a large proportion globally, and the ASIR, ASMR, and ASDR are increasing year by year. We should continue to pay attention to the role of metabolic factors, such as hyperglycemia, in the occurrence and development of ovarian cancer, perform a good job in tertiary prevention, and strive to reduce health losses
Stacking up electron-rich and electron-deficient monolayers to achieve extraordinary mid- to far-infrared excitonic absorption: Interlayer excitons in the C3B/C3N bilayer
Our ability to efficiently detect and generate far-infrared (i.e., terahertz)
radiation is vital in areas spanning from biomedical imaging to interstellar
spectroscopy. Despite decades of intense research, bridging the terahertz gap
between electronics and optics remains a major challenge due to the lack of
robust materials that can efficiently operate in this frequency range, and
two-dimensional (2D) type-II heterostructures may be ideal candidates to fill
this gap. Herein, using highly accurate many-body perturbation theory within
the GW plus Bethe-Salpeter equation approach, we predict that a type-II
heterostructure consisting of an electron rich C3N and an electron deficient
C3B monolayers can give rise to extraordinary optical activities in the mid- to
far-infrared range. C3N and C3B are two graphene-derived 2D materials that have
attracted increasing research attention. Although both C3N and C3B monolayers
are moderate gap 2D materials, and they only couple through the rather weak van
der Waals interactions, the bilayer heterostructure surprisingly supports
extremely bright, low-energy interlayer excitons with large binding energies of
0.2 ~ 0.4 eV, offering an ideal material with interlayer excitonic states for
mid-to far-infrared applications at room temperature. We also investigate in
detail the properties and formation mechanism of the inter- and intra-layer
excitons.Comment: 15 pages, 6 figure
Code-Aided Channel Estimation in LDPC-Coded MIMO Systems
For a multiple-input multiple-output (MIMO) system with unknown channel state
information (CSI), a novel low-density parity check (LDPC)-coded transmission
(LCT) scheme with joint pilot and data channel estimation is proposed. To
fine-tune the CSI, a method based on the constraints introduced by the coded
data from an LDPC code is designed such that the MIMO detector exploits the
fine-tuned CSI. For reducing the computational burden, a coordinate ascent
algorithm is employed along with several approximation methods, effectively
reducing the required times of MIMO detection and computational complexity to
achieve a satisfying performance. Simulation results utilizing WiMAX standard
LDPC codes and quadrature phase-shift keying (QPSK) modulation demonstrate
gains of up to 1.3 dB at a frame error rate (FER) of compared to
pilot-assisted transmission (PAT) over Rayleigh block-fading channels.Comment: This paper has been accepted by IEEE Wireless Communications Letter
Absence of metallicity and bias-dependent resistivity in low-carrier-density EuCd2As2
EuCd2As2 was theoretically predicted to be a minimal model of Weyl semimetals
with a single pair of Weyl points in the ferromagnet state. However, the
heavily p-doped EuCd2As2 crystals in previous experiments prevent direct
identification of the semimetal hypothesis. Here we present a comprehensive
magneto-transport study of high-quality EuCd2As2 crystals with ultralow bulk
carrier density (10^13 cm-3). In contrast to the general expectation of a Weyl
semimetal phase, EuCd2As2 shows insulating behavior in both antiferromagnetic
and ferromagnetic states as well as surface-dominated conduction from band
bending. Moreover, the application of a dc bias current can dramatically
modulate the resistance by over one order of magnitude, and induce a periodic
resistance oscillation due to the geometric resonance. Such nonlinear transport
results from the highly nonequilibrium state induced by electrical field near
the band edge. Our results suggest an insulating phase in EuCd2As2 and put a
strong constraint on the underlying mechanism of anomalous transport properties
in this system.Comment: 13 pages, 4 figure
Genipin-cross-linked collagen/chitosan biomimetic scaffolds for articular cartilage tissue engineering applications
This was the first study to use genipin to cross-link collagen and chitosan.In this study, genipin-cross-linked collagen/chitosan biodegradable porous scaffolds were prepared for articular cartilage regeneration. The influence of chitosan amount and genipin concentration on the scaffolds physicochemical properties was evaluated. The morphologies of the scaffolds were characterized by scanning electron microscope (SEM) and cross-linking degree was investigated by ninhydrin assay. Additionally, the mechanical properties of the scaffolds were assessed under dynamic compression. To study the swelling ratio and the biostability of the collagen/chitosan scaffold, in vitro tests were also carried out by immersion of the scaffolds in PBS solution or digestion in collagenase, respectively. The results showed that the morphologies of the scaffolds underwent a fiber-like to a sheet-like structural transition by increasing chitosan amount. Genipin cross-linking remarkably changed the morphologies and pore sizes of the scaffolds when chitosan amount was less than 25%. Either by increasing the chitosan ratio or performing cross-linking treatment, the swelling ratio of the scaffolds can be tailored. The ninhydrin assay demonstrated that the addition of chitosan could obviously increase the cross-linking efficiency. The degradation studies indicated that genipin cross-linking can effectively enhance the biostability of the scaffolds. The biocompatibility of the scaffolds was evaluated by culturing rabbit chondrocytes in vitro. This study demonstrated that a good viability of the chondrocytes seeded on the scaffold was achieved. The SEM analysis has revealed that the chondrocytes adhered well to the surface of the scaffolds and contacted each other. These results suggest that the genipin-cross-linked collagen/chitosan matrix may be a promising formulation for articular cartilage scaffolding.Key Projects in the National Science and Technology Pillar Program in the Eleventh Five-year Plan Period. Grant Number: 2006BA116B04Guangdong Natural Science Foundation. Grant Number: 07300602Natural Science Foundation Team Project of Guangdong. Grant Number: 4205786State Key Program of National Natural Science of China. Grant Number: 50732003National Basic Research Program of China. Grant Number: 2005CB62390
Superconductivity in trilayer nickelate La4Ni3O10 under pressure
Nickelates gained a great deal of attention due to their similar crystal and
electronic structures of cuprates over the past few decades. Recently,
superconductivity with transition temperature exceeding liquid-nitrogen
temperature is discovered in La3Ni2O7, which belong to the Ruddlesden-Popper
(RP) phases Lan+1NinO3n+1 with n = 2. In this work, we go further and find
pressure-induced superconductivity in another RP phase La4Ni3O10 (n = 3) single
crystals. Our angle-resolved photoemission spectroscopy (ARPES) experiment
suggest that the electronic structure of La4Ni3O10 is very similar to that of
La3Ni2O7. We find that the density-wave like anomaly in resistivity is
progressively suppressed with increasing pressure. A typical phase diagram is
obtained with the maximum Tc of 21 Kelvin. Our study sheds light on the
exploration of unconventional superconductivity in nickelates.Comment: 16 pages, 5 figure
Predictive value of PD-L1 and TMB for short-term efficacy prognosis in non-small cell lung cancer and construction of prediction models
ObjectiveTo investigate the correlation between programmed death ligand 1(PD-L1), tumor mutation burden (TMB) and the short-term efficacy and clinical characteristics of anti-PD-1 immune checkpoint inhibitor combination chemotherapy in NSCLC patients. The efficacy of the prediction model was evaluated.MethodsA total of 220 NSCLC patients receiving first-line treatment with anti-PD-1 immune checkpoint inhibitor combined with chemotherapy were retrospectively collected. The primary endpoint was short-term efficacy ORR. The correlation between short-term efficacy, PD-L1, TMB, and clinical characteristics using χ2 test or t-test was evaluated. Screen the independent prognostic factors using univariate and multivariate logistic regression analyses, and construct a nomogram prediction model using the “rms” package in R software. Using receiver operating characteristic (ROC) curve analysis to evaluate the independent Prognostic factors and the prediction model. Using decision curve analysis (DCA) to verify the superiority of the prediction model.ResultsThe mean values of PD-L1, TMB, neutrophils, lymphocytes, neutrophil-to-lymphocyte ratio, and albumin were the highest in the ORR group, PD-L1 expression and TMB correlated with epidermal growth factor receptor expression. Multivariate analyses showed that PD-L1, TMB, and neutrophil were independent prognostic factors for ORR. The area under the ROC curve (AUC) values of the ROC constructed based on these three indicators were 0.7104, 0.7139, and 0.7131, respectively. The AUC value under the ROC of the nomogram model was 0.813. The DCA of the model showed that all three indicators used together to build the prediction model of the net return were higher than those of the single indicator prediction model.ConclusionPD-L1, TMB, and neutrophils are independent prognostic factors for short-term efficacy. The nomogram prediction model constructed using these three indicators can further improve predictive efficacy of ICIs in patients with NSCLC
31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two
Background
The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd.
Methods
We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background.
Results
First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001).
Conclusions
In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival
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