Transcriptional landscape and predictive potential of long noncoding RNAs in peritoneal recurrence of gastric cancer.

Background: Long noncoding RNAs (lncRNAs) play a critical role in gastric cancer (GC) progression and metastasis. However, research comprehensively exploring tissue-derived lncRNAs for predicting peritoneal recurrence in patients with GC remains limited. This study aims to investigate the transcriptional landscape of lncRNAs in GC with peritoneal metastasis (PM) and to develop an integrated lncRNA-based score to predict peritoneal recurrence in patients with GC after radical gastrectomy.

A novel triple signal amplification platform of peroxide test strip for sensitive detection of adenosine triphosphate.

Peroxide test strip (PTS) has been widely used for the point-of-care testing (POCT), but its poor sensitivity is a big obstacle for analyzing trace target. Herein, a triple signal amplifying platform integrating the liposome enrichment, the hybridization chain reaction (HCR) circuit, and the image analysis method was constructed to enhance the visual readout of PTS for the sensitive detection of adenosine triphosphate (ATP), an important biomarker of food spoilage. In the presence of ATP, the HCR amplifier was firstly initiated on the surface of magnetic beads (MBs), inducing a large number of glucose oxidase (GOD) imbedded liposomes to be attached.

Ultra-Fast Degradation of Mustard Gas Simulant by Titanium Dioxide-Phosphomolybdic Acid Sub-1 nm Nanobelts.

The development of novel catalysts for the rapid detoxification of sulfur mustard holds paramount importance in the field of military defense. In this work, titanium dioxide-phosphomolybdic acid sub-1 nm nanobelts (TiO/PMA SNBs) are employed as effective catalysts for the ultra-fast degradation of mustard gas simulants (2-chloroethyl ethyl sulfide, CEES) with 100% selectivity and a half-life (t, time required for 50% conversion) as short as 12 s, which is the fastest time to the best of the knowledge. Even in dark conditions, this material can still achieve over 90% conversion within 5 min.

The Chinese Society of Clinical Oncology (CSCO): Clinical guidelines for the diagnosis and treatment of gastric cancer, 2023.

The 2023 update of the Chinese Society of Clinical Oncology (CSCO) Clinical Guidelines for Gastric Cancer focuses on standardizing cancer diagnosis and treatment in China, reflecting the latest advancements in evidence-based medicine, healthcare resource availability, and precision medicine. These updates address the differences in epidemiological characteristics, clinicopathological features, tumor biology, treatment patterns, and drug selections between Eastern and Western gastric cancer patients. Key revisions include a structured template for imaging diagnosis reports, updated standards for molecular marker testing in pathological diagnosis, and an elevated recommendation for neoadjuvant chemotherapy in stage III gastric cancer.

Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection.

Scene graph generation (SGG) and human-object interaction (HOI) detection are two important visual tasks aiming at localising and recognising relationships between objects, and interactions between humans and objects, respectively. Prevailing works treat these tasks as distinct tasks, leading to the development of task-specific models tailored to individual datasets. However, we posit that the presence of visual relationships can furnish crucial contextual and intricate relational cues that significantly augment the inference of human-object interactions.

Rational design of genotyping nanodevice for HPV subtype distinction.

There are more than 200 subtypes of human papillomavirus (HPV), and high-risk HPVs are a leading cause of cervical cancer. Identifying the genotypes of HPV is significant for clinical diagnosis and cancer control. Herein, we used programmable and modified DNA as the backbone to construct fluorescent genotyping nanodevice for HPV subtype distinction.

Simultaneous Response of Mitochondrial MicroRNAs to Identify Cell Apoptosis with Multiple Responsive Intelligent DNA Biocomputing Nanodevices.

Challenges remained in precisely real-time monitoring of apoptotic molecular events at the subcellular level. Herein, we developed a new type of intelligent DNA biocomputing nanodevices (iDBNs) that responded to mitochondrial microRNA-21 (miR-21) and microRNA-10b (miR-10b) simultaneously which were produced during cell apoptosis. By hybridizing two hairpins (H1 and H2) onto DNA nanospheres (DNSs) that had been previously modified with mitochondria-targeted triphenylphosphine (TPP) motifs, iDBNs were assembled in which two localized catalytic hairpins self-assembly (CHA) reactions occurred upon the co-stimulation of mitochondrial miR-21 and miR-10b to perform AND logic operations, outputting fluorescence resonance energy transfer (FRET) signals for sensitive intracellular imaging during cell apoptosis.

CRISPR-Cas12a Coupled with DNA Nanosheet-Amplified Fluorescence Anisotropy for Sensitive Detection of Biomolecules.

DNA nanosheets (DNSs) have been utilized effectively as a fluorescence anisotropy (FA) amplifier for biosensing. But, their sensitivity needs to be further improved. Herein, CRISPR-Cas12a with strong -cleavage activity was utilized to enhance the FA amplification ability of DNSs for the sensitive detection of miRNA-155 (miR-155) as a proof-of-principle target.

Visual identification of O-induced crystal structure transformation of single Zr-MOF by dark-field microscopy.

Understanding the structural transformation of photocatalysts under illumination provides detailed insights to solve the poisoning of photocatalysts. In this study, the O-induced transformation of crystalline structure in nanosized Zr-porphyrin metal organic frames (ZrTCPP MOFs) is confirmed by a dark-field microscopy (DFM) system. Under continuous illumination, the energy of excited ZrTCPP transfers to oxygen in the surroundings and generates O, which causes the nanosized crystal ZrTCPP to change into the amorphous state The crystalline structure of ZrTCPP corresponds to the multiple resonance peaks of the scattering spectra, and the amorphous structure corresponds to the single scattering peak.

[Efficacy and safety of rituximab in children and adolescents with mature B-cell non-Hodgkin's lymphoma: a Meta analysis].

Objectives: To study the efficacy and safety of rituximab combined with chemotherapy in the treatment of children and adolescents with mature B-cell non-Hodgkin's lymphoma (B-NHL) through a Meta analysis.

Methods: The databases including PubMed, Embase, the Cochrane Library, ClinicalTrials.gov, Web of Science, China National Knowledge Infrastructure, Wanfang Data, and Weipu were searched to obtain 10 articles on rituximab in the treatment of mature B-NHL in children and adolescents published up to June 2022, with 886 children in total.

Dark-Field Imaging Monitoring of Adenosine Triphosphate in Live Cells by Au NBPs@ZIF-8 Nanoprobes.

Monitoring the fluctuation of adenosine triphosphate (ATP) level in living cells could promote the understanding of metabolic pathways and cell biology. Here, we proposed a highly sensitive, selective, and biocompatible nanoprobe with core-shell structure, namely Au NBPs@ZIF-8 composed by gold nanobipyramids (Au NBPs) and zeolitic imidazolate framework-8 (ZIF-8), for monitoring intracellular ATP level fluctuation in living cells. Because the coordination between ATP and Zn (the metal node of ZIF-8) was much stronger than that between 2-methylimidazole and Zn, which caused the decomposition of the ZIF-8 shell and the exposure of Au NBPs in the presence of ATP, it led to the change of the localized surface plasmon resonance scattering properties of nanoprobes under dark-field microscopy.

State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation.

How to avoid biased predictions is an important and active research question in scene graph generation (SGG). Current state-of-the-art methods employ debiasing techniques such as resampling and causality analysis. However, the role of intrinsic cues in the features causing biased training has remained under-explored.

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.

Graph representation learning (GRL) is critical for graph-structured data analysis. However, most of the existing graph neural networks (GNNs) heavily rely on labeling information, which is normally expensive to obtain in the real world. Although some existing works aim to effectively learn graph representations in an unsupervised manner, they suffer from certain limitations, such as the heavy reliance on monotone contrastiveness and limited scalability.

Plasmonic Hot-Electron-Painted Au@Pt Nanoparticles as Efficient Electrocatalysts for Detection of HO.

Plasmon-driven catalysis of metal nanostructures has garnered wide interest. Here, a photogenerated plasmonic hot-electron painting strategy was reported to form Au@Pt composite nanoparticles (Au@Pt NPs) with high catalytic reactivity without using reducing agents. Au nanoparticles, including Au nanospheres (Au NSs), Au nanorods (Au NRs), and Au nanobipyramids (Au NBPs), generated hot electrons under localized surface plasmon resonance (LSPR) excitation, which made the platinum precursor reduced as a consequence that Pt(0) atoms were painted on the surface of Au NPs to form an asymmetric Pt shell outside the plasmonic Au core.

In Situ Imaging of Ion Motion in a Single Nanoparticle: Structural Transformations in Selenium Nanoparticles.

Intraparticle ion motions are critical to the structure and properties of nanomaterials, but rarely disclosed. Herein, in situ visualization of ion motions in a single nanoparticle is presented by dark-field microscopy imaging, which shows HgCl -induced structural transformation of amorphous selenium nanoparticles (SeNPs) with the main composition of Se . Owing to the high binding affinity with selenium and coulomb interactions, Hg ions can permeate into the interior of SeNPs, making the amorphous Se turn to polycrystalline Hg Se Cl .

Surrogate Endpoints for Overall Survival in Immune-Oncology Trials of Advanced Gastro-Esophageal Carcinoma.

Background: We aimed to assess whether the Response Evaluation Criteria in Solid Tumors (RECIST)-based objective response rate (ORR), disease control rate (DCR) and progression-free survival (PFS) could serve as surrogate endpoints for overall survival (OS) in immune-oncology (IO) trials of advanced gastro-esophageal (GE) carcinoma.

Methods: Randomized controlled trials (RCTs) of IO that reported RECIST-based endpoints and OS in advanced GE carcinoma were screened. Surrogacy of endpoints for OS was assessed based on the correlation between endpoints with OS (arm-level), and between treatment effects on endpoints (trial-level).

Label-Guided Generative Adversarial Network for Realistic Image Synthesis.

Generating photo-realistic images from labels (e.g., semantic labels or sketch labels) is much more challenging than the general image-to-image translation task, mainly due to the large differences between extremely sparse labels and detail rich images.