Clinicopathological features and immunophenotype of Silva pattern system in endocervical adenocarcinoma.

The aim of this study was to investigate the correlation between Silva pattern system and clinicopathological features of endocervical adenocarcinoma. Moreover, it was to find molecular markers helpful for Silva classification, and thus we also explored the expression levels of invasion, adhesion and proliferation biomarkers in cases of Silva non-invasive and invasive types. The survival based on Silva pattern system was analysed by Kaplan-Meier survival analysis, Log-rank test and  a COX risk proportionality model. Sixty samples were chosen to detect the MMP-2, MMP-9, u-PA, E-cadherin, ß-catenin, EGF, TGF-α, HDGF, c-Met and RGN expression by immunohistochemistry. Multivariate analysis showed that pattern A/pattern B/pattern C Silva pattern system provided independent risk factors for prognosis. Our results found the levels of MMP-2, MMP-9 and u-PA were significantly higher in endocervical adenocarcinoma with destructive growth than in the  nondestructive group. The levels of E-cadherin and ß-catenin were significantly lower in endocervical adenocarcinoma with destructive growth than in the nondestructive group. The levels of EGF, TGF-α and HDGF were significantly higher in endocervical adenocarcinoma with destructive growth than in the nondestructive group. Compared with 'non-invasive/invasive Silva pattern', this study suggests 'pattern A/pattern B/pattern C Silva pattern' could be a better criteria for predicting the prognosis. Furthermore, the dual-marker combination of 'MMP-2 and u-PA' and 'E-cadherin and ß-catenin' is very important in the diagnosis of Silva pattern classification.

A Time-Dependent Damage Constitutive Model for Brittle Rock Materials Based on Subcritical Damage Theory.

In the domain of geotechnical engineering, a profound understanding of the long-term mechanical deformation characteristics of rocks is indispensable for the design and construction of structures, dams, tunnels, and various engineering projects. The deformation behavior of rocks under long-term loads directly impacts the stability and safety of engineering structures. This study employs micromechanical methods to investigate the subcritical extension of microcracks under stress corrosion. By examining the accumulated damage resulting from this phenomenon, the research explores the patterns of aging damage development and establishes a constitutive model for aging that incorporates cumulative damage over the stress history. The accuracy of the proposed model is evaluated through a comprehensive comparison of numerical results with experimental data. The experimental data set encompasses traditional triaxial compression tests, single-stage creep, multistage creep, and single-stage relaxation tests conducted under varying confining pressures. The predicted results exhibit strong consistency with the entire data set. Furthermore, this paper employs crack damage stress as an indicator characterizing the long-term strength of rock. Through frictional damage coupling analysis and derivation, an analytical expression for the long-term strength of rock materials containing microcracks is provided, serving as a theoretical basis for investigating the long-term mechanical performance of brittle rock materials and ensuring the long-term stability of large-scale rock engineering projects.

Insights into the differential proteome landscape of a newly isolated Paramecium multimicronucleatum in response to cadmium stress.

Employing microbial systems for the bioremediation of contaminated waters represent a potential option, however, limited understanding of the underlying mechanisms hampers the implication of microbial-mediated bioremediation. The omics tools offer a promising approach to explore the molecular basis of the bioremediation process. Here, a mass spectrometry-based quantitative proteome profiling approach was conducted to explore the differential protein levels in cadmium-treated Paramecium multimicronucleatum. The Proteome Discoverer software was used to identify and quantify differentially abundant proteins. The proteome profiling generated 7,416 peptide spectral matches, yielding 2824 total peptides, corresponding to 989 proteins. The analysis revealed that 29 proteins exhibited significant (p ≤ 0.05) differential levels, including a higher abundance of 6 proteins and reduced levels of 23 proteins in Cd2+ treated samples. These differentially abundant proteins were associated with stress response, energy metabolism, protein degradation, cell growth, and hormone processing. Briefly, a comprehensive proteome profile in response to cadmium stress of a newly isolated Paramecium has been established that will be useful in future studies identifying critical proteins involved in the bioremediation of metals in ciliates. SIGNIFICANCE: Ciliates are considered a good biological indicator of chemical pollution and relatively sensitive to heavy metal contamination. A prominent ciliate, Paramecium is a promising candidate for the bioremediation of polluted water. The proteins related to metal resistance in Paramecium species are still largely unknown and need further exploration. In order to identify and reveal the proteins related to metal resistance in Paramecia, we have reported differential protein abundance in Paramecium multimicronucleatum in response to cadmium stress. The proteins found in our study play essential roles during stress response, hormone processing, protein degradation, energy metabolism, and cell growth. It seems likely that Paramecia are not a simple sponge for metals but they could also transform them into less toxic derivatives or by detoxification by protein binding. This data will be helpful in future studies to identify critical proteins along with their detailed mechanisms involved in the bioremediation and detoxification of metal ions in Paramecium species.