3D-Printed Extracellular Matrix-Mimicking Hydrogels Derived from Multiple Tissues for Integrated Construction of Complex Organs.

Due to the lack of suitable donors and concerns about immune rejection after transplantation, the demand for artificial organs among patients is increasing. Extracellular matrix-mimicking hydrogels provide excellent prospects for overcoming the limitations of current artificial organ construction methods. Here, a set of extracellular matrix-mimicking hydrogels derived from multiple animal tissues is described, which meets the regeneration needs of multiple tissues after xenotransplantation.

Validation and refinement of the ninth edition ypN descriptor in patients with non-small cell lung cancer receiving neoadjuvant therapy.

Objectives: Although the ninth edition N descriptors have been validated in upfront surgery populations, evidence supporting their validity in prognostic stratification in the neoadjuvant setting remains sparse. The study aimed to validate the prognostic relevance of exploratory quaternary N scheme refinement relative to the ninth edition N classification in postneoadjuvant non-small cell lung cancer.

Methods: We identified 1005 patients with non-small cell lung cancer who underwent complete resection after neoadjuvant therapy from 4 centers between May 2019 and September 2022.

Estrogen-induced YAP1 activation disrupts chorionic trophoblast barrier integrity in spontaneous preterm labor.

Introduction: The homeostasis of chorionic trophoblast cell (CTC) barrier is essential for maintaining pregnancy. Although its hormone imbalanced and immune dysfunction are recognized as contributors of premature birth, the impact of physical barrier dysfunction, particularly in spontaneous premature labor with intact fetal membranes (sPTL), remains poorly understood.

Methods: Biomarkers of CTC barrier integrity, including histopathological changes, cell junction protein expression, and transmembrane electrical resistivity (TEER), were compared in term not in labor (TNL), sPTL, and term in labor (TL) groups.

Engineered Anti-Senescence Trachea With Post-Transplanted Regenerative Homeostasis.

Post-transplanted dysfunction remains the key unsolved challenge to construct bioengineered complex organs. Herein, by analyzing the bioengineered trachea, it is found that multiple tissue senescences occur, and poor endogenous cellular contact and exogenous immune microenvironment dysregulation are identified as two crucial factors during senescence. Therefore, a Hebe engineered trachea (Hebe-ET) with a ring-ring structure and dual anti-senescence designs is proposed for maintaining regenerative homeostasis after transplantation.

Multiplexed self-adaptable Janus hydrogels rescue epithelial malfunction to promote complete trachea repair.

Epithelial malfunction rescue is the decisive step involved in complete trachea repair; however, this step remains challenging due to the harsh tracheal environment and unclear pathogenesis, which still made current bioengineered trachea transplants receive fatal complications. Herein, bacterial infection-induced neutrophilic oxidative stress imbalance and epithelial stemness loss were identified as the pathogenic factors. Targeting pathogenesis, multiplexed hydrogels with adhesive and anti-fouling Janus sides, anti-swelling and anti-bacteria properties are constructed to adapt in mucous and causative agent-rich trachea environments.

MYO1G promoter hypomethylation correlates with its mRNA expression, lymphocyte infiltration, and immunotherapy response in melanoma.

Objectives: Myosin IG () plays a vital role in triggering an immune response via regulating T cell migration to detect antigen-presenting cells. However, the biological and clinical significance of DNA methylation and gene expression in melanoma and its immune microenvironment remains unknown.

Materials And Methods: We investigated and corroborated the correlations of DNA methylation with gene expression, and clinicopathologic parameters in 461 melanomas from The Cancer Genome Atlas (TCGA).

SCN2A gene mutations with epilepsy: single center experience.

Background: To explore the clinical phenotypic characteristics and genetic analysis of children with SCN2A gene mutation-related epilepsy.

Methods: A retrospective study of children with SCN2A gene mutation epilepsy admitted to the Department of Neurology of Hebei Provincial Children's Hospital from January 2020 to May 2023 was conducted to analyze their clinical characteristics, treatment response, and prognosis, and to explore the correlation between mutation type and efficacy.

Results: The age of onset of disease in the 12 children with SCN2A was distributed from 22 h after birth to 10 years and 11 months of age, the neonatal missense mutation was the most common, followed by nonsense mutation, the type of seizure was predominantly generalized tonic-clonic seizures(Generalized tonic-clonic seizures, GTCS), paraventricular white matter echo enhancement was the most common of the magnetic resonance image(Magnetic resonance image, MRI), and electroencephalogram(Electroencephalogram, EEG) were predominantly spiking and spiking-slow wave issuance in all phases of wakefulness and sleep, and there was a generalized developmental disorder in 11 cases; of the 12 cases of the children, the diagnosis of epilepsy was diagnosed in 3 cases, and levetiracetam(Levetiracetam, LEV) treatment was ineffective in all of them; epilepsy syndrome was diagnosed in 9 cases, of which 4 cases of Dravet syndrome(Dravet syndrome, DS) had the highest number of cases, and LEV and valproate(Valproate, VPA) were effective in 50% of the children, and multiple medications were ineffective in the remaining 2 cases; 2 children with west syndrome(West syndrome, WS) were ineffective in the administration of topiramate(Topiramate, TPM), clonazepam(Clonazepam, CZP), and pro-adrenocorticotropic hormone, All have global developmental delays; 2 cases of ohtahara syndrome(Ohtahara syndrome, OS), 1 case of phenobarbital(Phenobarbital, PB) treatment was effective, 1 case was ineffective in multiple drug treatment; 1 case of self-limited epilepsy with centrotemporal spikes(self-limited epilepsy with centrotemporal spikes, SeLECTS) with normal development of central temporal spikes, LEV could control seizures.

A novel, covalent broad-spectrum inhibitor targeting human coronavirus M.

Human coronaviruses (CoV) cause respiratory infections that range from mild to severe. CoVs are a large family of viruses with considerable genetic heterogeneity and a multitude of viral types, making preventing and treating these viruses difficult. Comprehensive treatments that inhibit CoV infections fulfill a pressing medical need and may be immensely valuable in managing emerging and endemic CoV infections.

A fully automatic Cobb angle measurement framework of full-spine DR images based on deep learning.

Purpose: Scoliosis is a prevalent spine deformity that impacts millions of children globally. The Cobb angle, a crucial and widely-accepted metric, serves as the "gold standard" for assessing scoliosis in patients. However, the traditional manual measurement of spine curvature is time-consuming and labor-intensive.

Demethylzeylasteral inhibits osteosarcoma cell proliferation by regulating METTL17-mediated mitochondrial oxidative phosphorylation.

Osteosarcoma (OS) represents the most common primary bone malignancy, characterized by substantial disability and mortality, thereby underscoring the critical need for more effective therapeutic interventions to improve clinical outcomes. Demethylzeylasteral (DEM) is a bio-active compound has been reported for its anti-tumor properties through various mechanisms. Nonetheless, the specific effects of DEM on OS have yet to be fully elucidated.

A multiomics dataset of paired CT image and plasma cell-free DNA end motif for patients with pulmonary nodules.

Diagnosing lung cancer at a curable stage offers the opportunity for a favorable prognosis. The emerging epigenomics analysis on plasma cell-free DNA (cfDNA), including 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) modifications, has acted as a promising approach facilitating the identification of lung cancer. And, integrating 5mC biomarker with chest computed tomography (CT) image features could optimize the diagnosis of lung cancer, exceeding the performance of models built on single feature.

Research progress on the regulation mechanism of DEPTOR expression and its role in tumorigenesis.

The mammalian target of rapamycin (mTOR) is a critical sensor and integrator of extracellular stimuli and intracellular signaling pathways, forming structurally and functionally distinct protein complexes (mTORC1, mTORC2, and mTORC3) with various proteins. It serves as a central regulator of vital biological processes like cell proliferation, survival, and autophagy. Numerous studies have linked mTOR pathway activation to tumor progression.

A single-cell atlas reveals immune heterogeneity in anti-PD-1-treated non-small cell lung cancer.

Anti-PD-(L)1 treatment is standard for non-small cell lung cancer (NSCLC), but patients show variable responses to the same regimen. The tumor immune microenvironment (TIME) is associated with immunotherapy response, yet the heterogeneous underlying therapeutic outcomes remain underexplored. We applied single-cell RNA and TCR sequencing (scRNA/TCR-seq) to analyze surgical tumor samples from 234 NSCLC patients post-neoadjuvant chemo-immunotherapy.

Determining the optimal radiation dose for locally advanced esophageal cancer: A pooled analysis of reconstructed individual patient data from randomized clinical trials.

Background: The optimal radiation dose of definitive concurrent chemoradiotherapy (dCCRT) for esophageal cancer (EC) has always been a concern in radiation oncology and has remained controversial for several decades, we performed a meta-analysis based on individual patient data (IPD) to explore the optimal dose.

Methods: Randomized clinical trials (RCTs) comparing high-dose radiotherapy (HD-RT,≥59.4 Gy) with standard-dose radiotherapy (SD-RT, 50 Gy/50.

3D-printed Engineered Trachea Functionalized by Diverse Extracellular Matrix Particles.

It remains a significant challenge to construct a tracheal substitute with both a native-like structure and multiple essential physiological functions. In this study, a combination of 3D printing techniques and a modular strategy is employed to fabricate an engineered trachea, in which the decellularized extracellular matrix particles (DEPs) from diverse sources determined specific regenerative environments in different spatial regions. Costal cartilage-derived DEPs are integrated within the cartilage rings of the engineered trachea.

promoter hypomethylation correlates with enhanced immune cell infiltration, favorable prognosis, and immunotherapy response in melanoma.

Background: Immune checkpoint blockade (ICB)-based immunotherapy has significantly improved survival in advanced melanoma. However, many patients exhibit resistance to these therapies. This study examines the impact of promoter methylation on its expression, immune cell infiltration, and clinical outcomes, evaluating its potential as a prognostic and predictive biomarker for immunotherapy response.

Adaptive Robust Stochastic Configuration Networks for Near-Infrared Multivariate Analysis.

Near-infrared (NIR) technology has gained wide acceptance in practical processes and is now the measurement of choice in many sectors. However, with increasing spectral dimensionality, it is challenging to establish a prediction model with satisfactory stability and generalization. Stochastic configuration networks (SCNs) based on supervisory learning mechanism have demonstrated significant advantages in developing nonlinear learners.

Targeting AKT as a promising strategy for SOX2-positive, chemoresistant osteosarcoma.

Osteosarcoma (OS) is the most prevalent type of primary malignant bone cancer and currently lacks effective targeted treatments. Increasing evidence indicates that SOX2 overexpression is a primary driver of OS. By screening a small-molecule kinase inhibitor library, we identified AKT as a kinase essential for robust SOX2 expression in OS cells.

Rezivertinib versus gefitinib as first-line therapy for patients with EGFR-mutated locally advanced or metastatic non-small-cell lung cancer (REZOR): a multicentre, double-blind, randomised, phase 3 study.

Background: This study aimed to compare the efficacy and safety of rezivertinib (BPI-7711) and gefitinib as first-line therapies in patients with EGFR-mutated locally advanced or metastatic non-small-cell lung cancer (NSCLC).

Methods: This multicentre, double-blind, randomised, phase 3 study (REZOR) included eligible patients from 50 hospitals across China. Those who had been histologically or cytologically confirmed as having NSCLC with EGFR exon 19 deletion or exon 21 Leu858Arg mutation by central laboratory were randomly assigned (1:1) to receive once daily either rezivertinib 180 mg or gefitinib 250 mg, until unacceptable toxicity occurred, disease progression, or other treatment discontinuation criteria were met.

Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma.

Existing prognostic models are useful for estimating the prognosis of lung adenocarcinoma patients, but there remains room for improvement. In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. The efficiency of the model was then evaluated in independent multicenter cohorts.

Prognostic Impact of Adjuvant Immunotherapy in Patients With Resectable NSCLC After Neoadjuvant Chemoimmunotherapy: A Brief Report.

Objective: The potential survival benefits of adjuvant immunotherapy for resectable NSCLC after neoadjuvant chemoimmunotherapy, and the optimal number of adjuvant immunotherapy cycles, remain uncertain. This study aims to evaluate the prognostic impact of adjuvant immunotherapy and determine the optimal number of cycles.

Methods: A total of 438 patients who received neoadjuvant chemoimmunotherapy between August 2019 and June 2022 across four hospitals were enrolled in this study, with a median follow-up time of 31.

Multimodal deep learning approaches for precision oncology: a comprehensive review.

The burgeoning accumulation of large-scale biomedical data in oncology, alongside significant strides in deep learning (DL) technologies, has established multimodal DL (MDL) as a cornerstone of precision oncology. This review provides an overview of MDL applications in this field, based on an extensive literature survey. In total, 651 articles published before September 2024 are included.

Integrated multiomics signatures to optimize the accurate diagnosis of lung cancer.

Diagnosing lung cancer from indeterminate pulmonary nodules (IPLs) remains challenging. In this multi-institutional study involving 2032 participants with IPLs, we integrate the clinical, radiomic with circulating cell-free DNA fragmentomic features in 5-methylcytosine (5mC)-enriched regions to establish a multiomics model (clinic-RadmC) for predicting the malignancy risk of IPLs. The clinic-RadmC yields an area-under-the-curve (AUC) of 0.

Evaluation of the prognostic value of lateral MAPSE in patients with suspected coronary artery disease.

Objectives: To evaluate the prognostic value of lateral mitral annular plane systolic excursion (MAPSE) in the prediction of major adverse cardiology events (MACE) in patients with suspected coronary artery disease (CAD).

Methods: 233 consecutive patients were enrolled with suspected CAD from October 2012 to September 2013 and performed contrast-enhanced cardiac magnetic resonance (CMR) and two-dimensional echocardiogram studies no later than 72 h after admission. CMR imaging protocol included 4-chamber cine(cine-CMR), cardiovascular magnetic resonance angiography (CMRA) and late gadolinium enhancement (LGE).

Analytical prediction of electromagnetic performance for surface-embedded permanent magnet in-wheel machines considering iron's nonlinearity.

Accurate magnetic field calculation is the premise of electromagnetic performance prediction. Conventional subdomain (SD) techniques assume that the iron's relative permeability is infinite, leading to falsely overestimated flux density. We propose an accurate magnetic field analytical model for permanent magnet (PM) in-wheel machines considering iron's magnetization nonlinearity and saturation.