UBE2D2 promotes gastric cancer progression by inhibiting ferroptosis through autophagy-dependent stabilization of CST1.

Gastric cancer peritoneal metastasis (GCPM) is an aggressive condition with poor survival, underscoring the need for new therapeutic targets. This study investigates the role of ubiquitin-conjugating enzyme E2 D2 (UBE2D2) in gastric cancer (GC). Analysis of clinical samples revealed that UBE2D2 is overexpressed in GC tissues and correlates with poor prognosis.

METTL3-mediated m A modification facilitates Nectin-4-induced VNN1 upregulation and promotion of ESCC progression.

Esophageal squamous cell carcinoma (ESCC) is a highly aggressive malignancy with poor prognosis and limited therapeutic options. N6-methyladenosine (m A) RNA modification plays a role in tumorigenesis, but its contributions to ESCC and the regulation of cell adhesion molecules such as Nectin-4 are not fully elucidated. In this study, we investigate the role and the regulatory mechanisms of Nectin-4 in ESCC, particularly regarding the influence of m A modification and its downstream metabolic effects.

WTAP-mediated mA methylation of circRNA_404908 promotes esophageal squamous cell carcinoma progression.

N6-methyladenosine (mA) RNA methylation and circular RNA have been demonstrated to exert a crucial role in diverse malignant tumors, such as esophageal squamous cell carcinoma (ESCC). Nevertheless, the precise regulatory mechanism through which mA-modified circRNA impacts ESCC remains to be elucidated. Herein, we discovered that the methyltransferase Wilms' tumor 1-associated protein (WTAP) is highly expressed in ESCC and is correlated with a poor prognosis.

Development of a deep learning model for T1N0 gastric cancer diagnosis using 2.5D radiomic data in preoperative CT images.

Early detection and precise preoperative staging of early gastric cancer (EGC) are critical. Therefore, this study aims to develop a deep learning model using portal venous phase CT images to accurately distinguish EGC without lymph node metastasis. This study included 3164 patients with gastric cancer (GC) who underwent radical surgery at two medical centers in China from 2006 to 2019.

Development and validation of CT-based fusion model for preoperative prediction of invasion and lymph node metastasis in adenocarcinoma of esophagogastric junction.

Purpose: In the context of precision medicine, radiomics has become a key technology in solving medical problems. For adenocarcinoma of esophagogastric junction (AEG), developing a preoperative CT-based prediction model for AEG invasion and lymph node metastasis is crucial.

Methods: We retrospectively collected 256 patients with AEG from two centres.

AI-based large-scale screening of gastric cancer from noncontrast CT imaging.

Early detection through screening is critical for reducing gastric cancer (GC) mortality. However, in most high-prevalence regions, large-scale screening remains challenging due to limited resources, low compliance and suboptimal detection rate of upper endoscopic screening. Therefore, there is an urgent need for more efficient screening protocols.

SGCD: High-Resolution Spatial Domain Characterization via Data Interpolation and Cell-Type Deconvolution.

The rapid advancement of spatial transcriptomics has provided a critical data foundation for the high-resolution characterization of tissue spatial domains. Traditional methods for spatial domain identification primarily rely on gene expression data from sampled spots in low-resolution spatial transcriptomic data, often overlooking valuable information between spots that can be crucial for domain identification. Furthermore, these methods are limited by their focus on gene expression data from neighboring spots, without fully integrating prior knowledge of cell types within the tissue's spatial structure.

CircSLC22A3 inhibits the invasion and metastasis of ESCC via the miR-19b-3p/TRAK2 axis and by reducing the stability of mA-modified ACSBG1 mRNA.

Background: Esophageal squamous cell carcinoma (ESCC) is a major contributor to cancer-related deaths, driven by its invasive and metastatic nature. Circular RNAs (circRNAs) are increasingly recognized as regulators of cancer progression, primarily through miRNA sponging and interactions with RNA-binding proteins. Their dysregulation has been linked to the development of in various cancers.

Adjuvant chemotherapy may have no significant survival benefit in older patients with stage II/III gastric cancer: a multicenter retrospective study.

Aim: Postoperative adjuvant chemotherapy is known to enhance cure rates and is thus recommended for stages pII to pIII. However, specific guidelines for such treatment in elderly gastric cancer (GC) patients are currently lacking. This study examines the impact of adjuvant chemotherapy on the postoperative survival of these patients.

GPX4 knockdown suppresses M2 macrophage polarization in gastric cancer by modulating kynurenine metabolism.

Glutathione peroxidase 4 (GPX4), an important factor regulating redox homeostasis, plays an important role in tumor microenvironment and progression. However, the role of GPX4 in gastric cancer (GC) is unclear. Spectral flow cytometry and multiplex immunohistochemistry were employed to assess the correlation between GPX4 expression and immune cell infiltration.

Identifying beneficial gastric cancer patient on prognosis after treating with perioperative or postoperative-only chemotherapy: a single-center real-world study.

Background: This study evaluates the impact of perioperative S-1 and oxaliplatin (SOX) versus postoperative SOX or capecitabine and oxaliplatin (XELOX) on patient prognosis to identify suitable candidates for each therapy.

Method: A retrospective real-world cohort study was conducted using data from Zhejiang Cancer Hospital on gastric cancer patients treated between 2010 and 2019. Patients were divided into perioperative SOX and postoperative SOX or XELOX groups.

Multifunctional Alternating Copolymer Nanoflower Iodine Hosts for Long-Term Zinc-Iodine Batteries.

Aqueous Zn-iodine (Zn-I) batteries are considered to be potential energy storage systems due to their safety, environmental friendliness, and cost-effectiveness. However, the shuttle effect of polyiodide leads to cathode active mass loss and anode Zn corrosion, which greatly reduces the cycle life of Zn-I batteries. Herein, we report an N-modified alternating copolymer nanoflower composite (NH-NFs-PDA) as a new type of iodine host candidate to effectively inhibit the polyiodide shuttle effect in Zn-I battery.

AGTR1 potentiates the chemotherapeutic efficacy of cisplatin in esophageal carcinoma through elevation of intracellular Ca and induction of apoptosis.

Cisplatin is one of the principal chemotherapeutic agents used for esophageal cancer (EC) treatment; however, EC mortality remains high. It is therefore imperative to find new therapeutic targets and approaches to potentiate the chemotherapeutic efficacy of cisplatin. Angiotensin II receptor type 1 (AGTR1) is a potential therapeutic target in multiple cancer types.

Inhibition of glutathione peroxidase 4 suppresses gastric cancer peritoneal metastasis via regulation of RCC2 homeostasis.

Gastric cancer (GC) is one of the most lethal malignancies due to high metastatic rate, making the identification of new therapeutic targets critical for developing effective anti-GC treatments. Glutathione peroxidase 4 (GPx4), a key regulator of ferroptosis and redox homeostasis, contributes to progression and influences patient survival. However, the molecular mechanism by which GPx4 drives GC progression has not been fully illuminated.

LINC01305 and LAD1 Co-Regulate CTTN and N-WASP Phosphorylation, Mediating Cytoskeletal Reorganization to Promote ESCC Metastasis.

Esophageal squamous cell carcinoma (ESCC) is prone to metastasis and is a leading cause of mortality. The cytoskeleton is closely related to cell morphology and movement; however, little research has been conducted on ESCC metastasis. In this study, we found that the anchoring filament protein ladinin 1 (LAD1) specifically binds to LINC01305 for co-regulating the level of modulating cortactin proteins (CTTN) and neuronal Wiskott-Aldrich syndrome protein (N-WASP) phosphorylation, which mediates cytoskeletal reorganization and affects the metastasis of ESCC cells.

Plasma CircCYP24A1 as a Novel Biomarker of Esophageal Squamous Cell Carcinoma.

Background: A clinical challenge in esophageal squamous cell carcinoma (ESCC) remains the lack of applicable plasma biomarkers for screening and diagnosis. Circular RNAs (circRNAs) hold great potential as biomarkers for cancer. The study aims to explore a circRNA as a potential plasma biomarker for screening strategies and diagnostic approaches to ESCC.

Metabolic regulation of intestinal homeostasis: molecular and cellular mechanisms and diseases.

Metabolism serves not only as the organism's energy source but also yields metabolites crucial for maintaining tissue homeostasis and overall health. Intestinal stem cells (ISCs) maintain intestinal homeostasis through continuous self-renewal and differentiation divisions. The intricate relationship between metabolic pathways and intestinal homeostasis underscores their crucial interplay.

The role of hyperthermia in the treatment of tumor.

Despite recent advancements in the diagnosis and treatment options for cancer, it remains one of the most serious threats to health. Hyperthermia (HT) has emerged as a highly promising area of research due to its safety and cost-effectiveness. Currently, based on temperature, HT can be categorized into thermal ablation and mild hyperthermia.

Exploring the effects of an online learning platform in stage III cardiac rehabilitation for individuals with coronary heart disease: Randomized controlled study.

The objective of this study is to assess the influence of blended education methodologies, utilizing an online education platform, among stage III cardiac rehabilitation (CR) patients diagnosed with coronary heart disease (CHD). Between June and August 2021, a cohort of 90 patients diagnosed with CHD, previously discharged from a second-class hospital 1 year earlier, were randomly allocated into 2 groups: the experimental and control groups, with each comprising 45 patients. Patients in the control group received out-of-hospital CR education via WeChat, while those in the experimental group received blended CR education utilizing an online education platform.

Development and validation of a nomogram for predicting lymph node metastasis in early gastric cancer.

Background: Lymph node metastasis (LNM) significantly impacts the treatment and prognosis of early gastric cancer (EGC). Consequently, the precise prediction of LNM risk in EGC patients is essential to guide the selection of appropriate surgical approaches in clinical settings.

Aim: To develop a novel nomogram risk model for predicting LNM in EGC patients, utilizing preoperative clinicopathological data.

The role of reactive oxygen species in gastric cancer.

Gastric cancer (GC) ranks fifth in cancer incidence and fourth in cancer-related mortality worldwide. Reactive oxygen species (ROS) are highly oxidative oxygen-derived products that have crucial roles in cell signaling regulation and maintaining internal balance. ROS are closely associated with the occurrence, development, and treatment of GC.

Development and validation of a deep learning model for predicting gastric cancer recurrence based on CT imaging: a multicenter study.

Introduction: The postoperative recurrence of gastric cancer (GC) has a significant impact on the overall prognosis of patients. Therefore, accurately predicting the postoperative recurrence of GC is crucial.

Methods: This retrospective study gathered data from 2813 GC patients who underwent radical surgery between 2011 and 2017 at two medical centers.

Plasma-Free Blood as a Potential Alternative to Whole Blood for Transcriptomic Analysis.

Unlabelled: RNA sequencing (RNAseq) technology has become increasingly important in precision medicine and clinical diagnostics, and emerged as a powerful tool for identifying protein-coding genes, performing differential gene analysis, and inferring immune cell composition. Human peripheral blood samples are widely used for RNAseq, providing valuable insights into individual biomolecular information. Blood samples can be classified as whole blood (WB), plasma, serum, and remaining sediment samples, including plasma-free blood (PFB) and serum-free blood (SFB) samples that are generally considered less useful byproducts during the processes of plasma and serum separation, respectively.