Photo-triggered engineered microbes achieving dual epigenetic immunomodulation for gastric cancer.

DNA methylation serves as an essential epigenetic mechanism for the regulation of gene expression. One of the earliest and most common changes seen in cancer is abnormal DNA methylation at CpG sites, which may encourage tumor development by silencing tumor suppressor gene transcription. The DNMT1 inhibitor AZA can delay cancer progression by inhibiting DNA methylation and enhancing tumor immunogenicity, yet its clinical efficacy in gastric cancer is limited by poor specificity, instability, and low retention.

Noninvasive evaluation of treatment-related protein expression status in advanced gastric cancer using dynamic nomograms with dual-energy CT: a multicenter study.

Objectives: Proliferation marker Ki-67 and immune checkpoint Programmed Cell Death Ligand 1 (PD-L1) are both proteins associated with tumor treatment response. To develop and validate two dynamic nomograms from dual-energy CT (DECT) for noninvasive evaluation of the expression status of these two proteins in advanced gastric cancer (AGC), and explore their associations with treatment response.

Materials And Methods: In this multicenter prospective and retrospective study, eligible AGC participants who underwent DECT scans were recruited into two study groups (Ki-67 and PD-L1 groups), with their clinical and DECT characteristics collected and measured.

Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detection.

Background: Contrast-enhanced computed tomography (CT) is essential for tumor assessment, but the detection of low-contrast liver lesions remains challenging. Reducing the radiation dose increases image noise, compromising image quality and diagnostic accuracy. Iterative reconstruction (IR) algorithms can reduce noise; however, they can also alter image texture and limit lesion detection.

A Novel Deep Learning Radiomics Nomogram Integrating B-Mode Ultrasound and Contrast-Enhanced Ultrasound for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer.

Objective: This study aimed to develop a deep learning radiomics nomogram (DLRN) that integrated B-mode ultrasound (BMUS) and contrast-enhanced ultrasound (CEUS) images for preoperative lymphovascular invasion (LVI) prediction in invasive breast cancer (IBC).

Methods: Total 981 patients with IBC from three hospitals were retrospectively enrolled. Of 834 patients recruited from Hospital I, 688 were designated as the training cohort and 146 as the internal test cohort, whereas 147 patients from Hospitals II and III were assigned to constitute the external test cohort.

Reduction of Radiation Dose and Contrast Medium Volume in Photon-Counting Detector Computed Tomography Head and Neck Angiography: A Comparison to Energy-Integrating Detector Computed Tomography.

Rationale And Objectives: This study evaluated the image quality of photon-counting detector computed tomography (PCD-CT) for head and neck vascular imaging using the "Quadruple Low" strategy (ultra-low contrast dose, low contrast concentration, low injection rate, and low radiation dose). The results were compared with those from conventional energy-integrating detector computed tomography (EID-CT) performed using routine scanning parameters.

Materials And Methods: This retrospective cohort study included 50 patients with cerebrovascular disease who underwent EID-CT with a standard contrast protocol (contrast dose: body weight × 0.

Combining radiomics and deep learning to predict liver metastasis of gastric cancer on CT image.

Objective: Our study aimed to explore the potential of deep learning (DL) radiomics features from CT images of primary gastric cancer (GC) in predicting gastric cancer liver metastasis (GCLM) by establishing and verifying a prediction model based on clinical factors, classical radiomics and DL features.

Methods: We retrospectively analyzed 1001 pathologically confirmed GC patients from June 2014 to May 2024, divided into non-LM (n=689) and LM groups (n=312). CT-based classic radiomics and DL features were extracted and screened to construct a DL-radiomics score.

Optimized biosynthesis and performance enhancement of γ-PGA from Bacillus licheniformis: a study on wettability, microstructure, and environmental performance.

Extensive research has been conducted to mitigate the hazards of coal mine dust. Dust suppressants are crucial for enhancing the dust and fall efficiency of water media. Currently, environmentally-friendly, functional, polymeric, and microbial dust suppressant, which represent new types of suppressants, are primarily in the experimental and exploratory stages.

Comparison of residual stress distribution between root-analogue implant and threaded cylindrical implant.

Background: This study compares the residual stress distribution and stress-release deformation of root-analogue implants (RAIs) and traditional threaded cylindrical implants to assess their clinical applicability and optimization.

Methods: Three implant types (solid RAIs, mesh RAIs, and traditional threaded implants) were analyzed using contour cutting and finite element analysis to evaluate stress distribution and deformation trends after stress release.

Results: RAIs exhibited lower tensile and compressive stresses than threaded implants (T1: 26 MPa vs.

CT-based deep learning radiomics analysis for preoperative Lauren classification in gastric cancer and explore the tumor microenvironment.

Purpose: This study aimed to investigate the usefulness of CT-based deep learning radiomics analysis (DLRA) for preoperatively differentiating Lauren classification in gastric cancer (GC) patients and explore the tumor microenvironment.

Methods: 578 patients were recruited from January 2015 to June 2024, and divided into the training cohort (n = 311), the internal validation cohort (n = 132), and the external validation cohort (n = 135). Clinical characteristics were collected.

Clinical value of the 70-kVp ultra-low-dose CT pulmonary angiography with deep learning image reconstruction.

Objective: This study aims to assess the feasibility of "double-low," low radiation dosage and low contrast media dosage, CT pulmonary angiography (CTPA) based on deep-learning image reconstruction (DLIR) algorithms.

Materials And Methods: One hundred consecutive patients (41 females; average age 60.9 years, range 18-90) were prospectively scanned on multi-detector CT systems.

Ferroptosis in immune cells: Implications for tumor immunity and cancer therapy.

Ferroptosis, an iron-dependent cell death driven by lipid peroxidation, has emerged as a pivotal mechanism in cancer biology with significant therapeutic potential. Immune cells, both innate and adaptive, are integral in detecting and eliminating tumor cells, yet their response is intricately modulated by ferroptosis. While cancer cell ferroptosis stimulates anti-tumor immunity, ferroptosis in immune cells undermines their effectiveness, compromising overall immune surveillance.

Erratum: Oxygen carrier in core-shell fibers synthesized by coaxial electrospinning enhances Schwann cell survival and nerve regeneration: Erratum.

[This corrects the article DOI: 10.7150/thno.45035.

Pressure-induced white light emission based on a single-component organic molecule.

White light-emitting diodes hold great significance in the realm of lighting technology, as they possess the potential to considerably reduce energy consumption and mitigate greenhouse gas emissions. Nonetheless, transitioning individual organic molecules from emitting no white light to bright white-light remains an arduous task. In this paper, we present a straightforward and highly efficient approach known as compression, which successfully induces the transition from dark to radiant white luminescence.

Pressure-Induced Ultralow Critical Micelle Concentration of Surfactant for Encapsulating Dye.

Achieving the ultralow critical micelle concentration (CMC) of the surfactant encapsulating the dye has spawned a vital pathway to boost the efficiency and stability of dye-sensitized solar cells (DSSCs). The attainment of ultralow CMC while sustaining the constant micelle presents a significant challenge. Here, by an ingenious pressurizing strategy, the ultralow CMC is obtained for the immobilized micelle.

Patient-tailored versus fixed post-trigger delay for optimized scan timing: a comparison of image quality and diagnostic confidence in run-off CT angiography.

Objectives: This study aimed to validate bolus tracking using a patient-tailored post-trigger delay (PTD) in run-off computed tomography angiography (CTA) and to compare the resulting image quality and diagnostic confidence with those obtained using a fixed PTD.

Materials And Methods: Participants were prospectively assigned to either fixed (10 s) or patient-tailored cohorts. We measured attenuation, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for each vascular segment.

Corrigendum to "Hydralazine represses Fpn ubiquitination to rescue injured neurons via competitive binding to UBA52" [J. Pharm. Anal. 14 (2024) 86-99].

[This corrects the article DOI: 10.1016/j.jpha.

CT Radiomics for Predicting Outcomes in HER2-Positive Surgically Resectable Advanced Gastric Cancer: A Preliminary Study.

Rationale And Objectives: Accurate risk stratification in human epidermal growth factor receptor 2-positive surgically resectable advanced gastric cancer (HER2-p SRAGC) can strengthen monitoring for high-risk patients, allowing timely HER2-specific treatment and potentially improving prognosis. Therefore, we aimed to develop a CT radiomics model for predicting outcomes in HER2-p SRAGC and compare it with the 8th edition TNM staging system.

Materials And Methods: 621 HER2-p SRAGC patients who received either radical gastrectomy or radical gastrectomy after neoadjuvant therapy or chemotherapy were retrospectively enrolled in two hospitals and assigned to a training (n=330), an internal validation (n=143) and an external validation (n=148) cohorts.

Amide proton transfer-weighted imaging and T1 mapping as diagnostic tools to evaluate high-risk histopathologic phenotypes before surgery in rectal adenocarcinoma and their correlation with Ki-67 expression:a two-center study.

Objectives: To investigate the application of amide proton transfer (APT)-weighted MRI, T1 mapping in evaluating the preoperative high-risk histopathologic phenotypes of rectal adenocarcinoma and their correlation with Ki-67 expression.

Materials And Methods: Retrospective collection of 178 confirmed cases of rectal adenocarcinoma from two centers (center 1: 97 cases, center 2: 81 cases). High-resolution T2WI, APT, T1 mapping, diffusion-weighted imaging (DWI), and Ki-67 staining were performed in all patients.

Dual-energy CT for predicting progression-free survival of locally advanced gastric cancer after gastrectomy: Insights into tumor angiogenesis.

Objectives: To investigate preoperative dual-energy CT (DECT)-derived independent risk factors affecting progression-free survival (PFS) in patients with locally advanced gastric cancer (LAGC) undergoing gastrectomy, and to reveal the underlying histopathologic changes.

Methods: This prospective study included patients who underwent preoperative DECT scan and gastrectomy. Clinical data, DECT-derived morphological characteristics and iodine-related parameters were comprehensively collected.

Corrigendum: Epothilone B facilitates peripheral nerve regeneration by promoting autophagy and migration in Schwann cells.

[This corrects the article DOI: 10.3389/fncel.2020.

Radiomics analysis of dual-energy CT-derived iodine maps for differentiating between T1/2 and T3/4a in gastric cancer: A multicenter study.

Objective: To investigate the value of radiomic analysis of dual-energy CT (DECT)-derived iodine maps (IMs) for the differentiation between T1/2 and T3/4a stage tumors in gastric cancer (GC).

Methods: A total of 263 patients who received upfront surgery and were pathologically confirmed with gastric adenocarcinoma were enrolled in this study. Dual-phase enhanced CT scans with gemstone spectral imaging (GSI) mode were performed within two weeks before surgery.

Comparison of MRI and CT based deep learning radiomics analyses and their combination for diagnosing intrahepatic cholangiocarcinoma.

Intrahepatic cholangiocarcinoma (iCCA) and other subtypes of primary liver cancer (PLC) have overlapping clinical manifestations and radiological characteristics. The objective of this study was to evaluate the efficacy of deep learning (DL) radiomics analysis, performed using computed tomography (CT) and magnetic resonance imaging (MRI), in diagnosing iCCA within PLC. 178 pathologically confirmed PLC patients (training cohort: test cohort = 124: 54) who underwent both CT and MRI examinations was enrolled.

Transcriptome reveals Gafmt-1 and Gadlc-1-5 play positive roles in cotton resistance to Verticillium wilt.

Both Gafmt-1 and Gadlc-1-5 from Gossypium arboreum respond to Verticillium dahilae infection in Gossypium hirsutum and may play positive roles in Verticillium wilt resistance via the salicylic acid pathway. Verticillium wilt (VW) caused by Verticillium dahliae is one of the most destructive diseases affecting cotton production and quality worldwide. Numerous resistance genes against the disease from tetraploid cultivated cotton (2n = 4x = AADD = 52) have been cloned and functionally analyzed to attempt to develop resistant varieties.

The Relationship Between the Heterogeneity of Lumbar Vertebral Trabecular Bone Mineral Density Distribution and Osteoporotic Vertebral Fractures.

This study aims to investigate the relationship between the spatial distribution and heterogeneity of lumbar vertebral trabecular volumetric bone mineral density (vBMD) and osteoporotic vertebral fractures(OVF). This retrospective study included the L1 and L2 vertebrae of 143 participants with osteoporotic vertebral fractures and 429 age- and sex-matched no-fractured controls. Spatial distribution was assessed using the superior/middle and inferior/middle ratios, while heterogeneity was indicated by the quartile coefficient of variation (QCV) and interquartile range (IQR).