Publisher Correction: Cytoplasmic FBXO38 mediates PD-1 degradation.

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Temporal dynamics of immune cell patterns in bladder cancer patients receiving Bacillus Calmette-Guérin therapy.

Background: Bacillus Calmette-Guérin (BCG) is capable of enhancing the infiltration of immune cells into the tumour. However the temporal dynamics of immune cell patterns in patients receiving BCG instillation remains unclear.

Methods: Ninety-six patients who underwent intravesical BCG therapy, comprising 46 responders and 50 non-responders, were retrospectively enroled to explore the evolving immune landscape.

Generic Diagramming Platform (GDP): a comprehensive database of high-quality biomedical graphics.

High-quality schematic illustrations are fundamental to the publication of scientific achievements in biomedical research, which are crucial for effectively conveying complex biomedical concepts. However, creating such illustrations remains challenging for many researchers due to the need to devote a significant amount of time and effort to accomplish it. To address this need, we present the Generic Diagramming Platform (GDP, https://BioGDP.

Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning.

The purpose of this study is to investigate the influence of different magnetic resonance (MR) sequences on the accuracy of generating computed tomography (sCT) images for nasopharyngeal carcinoma based on CycleGAN. In this study, 143 patients' head and neck MR sequence (T1, T2, T1C, and T1DIXONC) and CT imaging data were acquired. The generator and discriminator of CycleGAN are improved to achieve the purpose of balance confrontation, and a cyclic consistent structure control domain is proposed in terms of loss function.

RPS 2.0: an updated database of RNAs involved in liquid-liquid phase separation.

Liquid-liquid phase separation (LLPS) is a crucial process for the formation of biomolecular condensates such as coacervate droplets, P-bodies and stress granules, which play critical roles in many physiological and pathological processes. Increasing studies have shown that not only proteins but also RNAs play a critical role in LLPS. To host LLPS-associated RNAs, we previously developed a database named 'RPS' in 2021.

Bifunctional MoO/CuS Heterojunction Nanozyme-Driven "Turn-On" SERS Signal for the Sensitive Detection of Cerebral Infarction Biomarker S100B.

The use of nanozymes has become a promising auxiliary approach to "turn on" surface-enhanced Raman scattering (SERS) signals for the label-free detection of disease markers. Nevertheless, there are still major challenges to develop bifunctional nanomaterials with both excellent enzyme-like activity and high SERS performance. To this end, a novel Z-scheme MoO/CuS heterojunction was first constructed as a powerful "two-in-one" substrate, which can not only catalyze leucomalachite green (LMG) to SERS-active malachite green (MG) but also serve as an efficient substrate to amplify the SERS signal of catalysate.

Factors Associated with IgG/IgM Levels after SARS-CoV-2 Vaccination in Patients with Head and Neck Cancer.

This study evaluated the factors influencing IgG/IgM antibody levels in 120 patients with head and neck cancer (HNC) following vaccination with inactivated SARS-CoV-2 vaccines. Each patient's demographic and clinical data were documented, and serum IgG and IgM antibodies were detected using a commercial magnetic chemiluminescence enzyme immunoassay kit. The results indicated that while all patients had received at least one vaccine dose, 95 tested positive for IgG and 25 were negative.

Development and preclinical evaluation of a cyclic PET tracer targeting integrin-α6 on colorectal cancer models.

Integrin-α6 is an attractive diagnostic and therapeutic biomarker in cancer, because it is highly expressed in several types of malignancies. Based on our previous findings, we designed a cyclic peptide, NOTA-A6P, to enhancing affinity, tumor uptake and serum stability, and then developed a cyclic radiotracer, [F]AlF-NOTA-A6P, for the specific detection of early colorectal cancer by PET/CT imaging. [F] AlF-NOTA-A6P was automatically labeled for colorectal cancer imaging in a novel synthesis module.

Targeting catalase in cancer.

Healthy cells have developed a sophisticated network of antioxidant molecules to prevent the toxic accumulation of reactive oxygen species (ROS) generated by diverse environmental stresses. On the opposite, cancer cells often exhibit high levels of ROS and an altered levels of antioxidant molecules compared to normal cells. Among them, the antioxidant enzyme catalase plays an essential role in cell defense against oxidative stress through the dismutation of hydrogen peroxide into water and molecular oxygen, and its expression is often decreased in cancer cells.

Longitudinal assessment of quality of life indicators and prognosis in esophageal cancer patients with curative resection.

Background: The relationship between quality of life and survival outcomes in esophageal cancer patients following curative resection is not well established. This study aimed to longitudinally assess quality of life indicators and their association with overall survival (OS) in these patients.

Methods: A total of 232 patients were included in the study, and their quality of life was prospectively assessed at different time points using the European Organisation for Research and Treatment of Cancer (EORTC) 30-item core quality of life questionnaire (QLQ-C30) and the disease-specific esophageal module (QLQ-OES18).

Development and validation of a hierarchical approach for lymphoma classification using immunohistochemical markers.

Background: Accurate lymphoma classification is critical for effective treatment and immunohistochemistry is a cost-effective and time-saving approach. Although several machine learning algorithms showed effective results, they focused on a specific task of classification but not the whole classification workflow, thus impractical to be applied in clinical settings. Thus, we aim to develop an effective and economic machine learning-assisted system that can streamline the lymphoma differential diagnostic workflow using EBER in situ hybridization and immunohistochemical markers.

PYGB targeted by androgen receptor contributes to tumor progression and metabolic reprogramming in esophageal squamous carcinoma.

Background: The incidence and mortality rates of esophageal squamous cell carcinoma (ESCC) are conspicuously augmented in men in contrast to women. The androgen receptor (AR), prevalently associated with the manifestation of male characteristics, is regarded as a pivotal determinant in tumor progression. Nevertheless, its exact role in ESCC remains insufficiently delineated.

RMVar 2.0: an updated database of functional variants in RNA modifications.

Evaluating the impact of genetic variants on RNA modifications (RMs) is crucial for identifying disease-associated variants and understanding the pathogenic mechanisms underlying human diseases. Previously, we developed a database called RMVar to catalog variants linked to RNA modifications in humans and mice. Here, we present an updated version RMVar 2.

Assessing the Prognostic Value of 13 Inflammation-Based Scores in Patients with Unresectable or Advanced Biliary Tract Carcinoma After Immunotherapy.

Purpose: The response of patients with biliary tract carcinoma (BTC) to immunotherapy varies widely, and there is an urgent need for biological indicators. The predictive value of inflammation based score (IBS) for the efficacy of immunotherapy in patients with BTC remains unclear, as the evidence is inconsistent. This study aimed to comprehensively examine the predictive value of IBS in peripheral blood on the survival of BTC patients receiving immunotherapy.

A multicenter bladder cancer MRI dataset and baseline evaluation of federated learning in clinical application.

Bladder cancer (BCa), as the most common malignant tumor of the urinary system, has received significant attention in research on the clinical application of artificial intelligence algorithms. Nevertheless, it has been observed that certain investigations use data from various medical facilities to train models for BCa, which may pose a privacy risk. Given this concern, protecting patient privacy during machine learning algorithm training is a crucial aspect that requires substantial attention.

Characteristics and treatment of epistaxis in nasopharyngeal carcinoma.

Objectives: To analyze the risk factors and explore effective treatments for epistaxis in nasopharyngeal carcinoma (NPC) patients.

Methods: From March 2006 to February 2020, 351 epistaxis patients visited our center and 195 patients meeting the inclusion criteria were enrolled in the study. Characteristics and treatments, including step-up hemostatic treatment (including medication, anterior ± posterior nostril packing, or further surgical hemostasis) and the CTPI emergency hemostasis method (including common carotid artery compression, tracheotomy / intubation, packing of nasal and nasopharynx, and interventional treatment), were analyzed.

Intrathecal anti-PD-1 treatment in metastatic melanoma patients with leptomeningeal disease (LMD): real-world data and evidence.

Purpose: Leptomeningeal disease (LMD) is a severe complication of melanoma with a very poor prognosis. Despite improved treatment strategies and prolonged survival, the incidence of LMD has increased over the past decade. This real-world study aims to evaluate the efficacy and safety of intrathecal anti-PD-1 treatment in melanoma patients with LMD.