Genetic variants in BAT2 are associated with immune responsiveness to influenza vaccination.

Influenza is a global public health problem for its detrimental impact on human health. Annual vaccination is the most effective prevention of influenza infection. Identifying host genetic factors associated with the responsiveness to influenza vaccines can provide clues for developing more effective influenza vaccines.

Using Machine Learning Methods to Assess Lymphovascular Invasion and Survival in Breast Cancer: Performance of Combining Preoperative Clinical and MRI Characteristics.

Background: Preoperative assessment of lymphovascular invasion (LVI) in invasive breast cancer (IBC) is of high clinical relevance for treatment decision-making and prognosis.

Purpose: To investigate the associations of preoperative clinical and magnetic resonance imaging (MRI) characteristics with LVI and disease-free survival (DFS) by using machine learning methods in patients with IBC.

Study Type: Retrospective.

[Research status of the innervation of prostate cancer and its potential clinical applications for nerve-targeted therapy].

Nerve fibers are important component in tumor microenvironment (TME) and have been shown to promote the early development of the prostate cancer and metastasis of advanced prostate cancer. Besides, it also activates an angio-metabolic switch, altering the endothelial cell metabolism to trigger angiogenesis. Most studies have showed that nerve infiltration in prostate cancer may be regulated by a variety of nerve growth factors secreted by cancer cells.

Noninvasive prediction of axillary lymph node status in breast cancer using promoter profiling of circulating cell-free DNA.

Background: Lymph node metastasis (LNM) is one of the most important factors affecting the prognosis of breast cancer. The accurate evaluation of lymph node status is useful to predict the outcomes of patients and guide the choice of cancer treatment. However, there is still lack of a low-cost non-invasive method to assess the status of axillary lymph node (ALN).

MARCH1 as a novel immune-related prognostic biomarker that shapes an inflamed tumor microenvironment in lung adenocarcinoma.

E3 ubiquitin ligases (E3s), the second most common cancer-related functional protein family, play vital roles in multiple tumors. However, their importance in prognosis and immunotherapy of lung adenocarcinoma (LUAD) is not clear. First, utilizing the data from The Cancer Genome Atlas (TCGA), we comprehensively assessed the expression profile and immunological association of 13 E3s in LUAD patients.

Road Traffic Noise, Obesity, and the Risk of Incident Type 2 Diabetes: A Cohort Study in UK Biobank.

To assess the association of road traffic noise exposure with Type 2 Diabetes (T2D) risk, and to explore the potential moderation effect of obesity. A total of 305,969 participants from the UK Biobank Cohort - an open access cohort of 500,000 participants recruited in the United Kingdom (UK) between 2006 and 2010 - were included in the study. A Cox proportional hazard model was fitted to assess the association between road traffic noise exposure and T2D.

Group-based trajectory and predictors of anxiety and depression among Chinese breast cancer patients.

Background: The aim of the current study is to investigate the change in anxiety and depression amongst Chinese breast cancer patients and to identify causal associations between baseline variables and the trajectory of anxiety and depression within this identified group.

Methods: This is a longitudinal prospective study. Three hundred women with breast cancer were recruited.

Multitargeting Strategy Using Tetrathiomolybdate and Lenvatinib: Maximizing Antiangiogenesis Activity in a Preclinical Liver Cancer Model.

Purpose: The study aims to investigate the suppressing tumor-promoting effects via multi-anti-angiogenesis activity of the copper chelator (ammonium tetrathiomolybdate, TM) combined with lenvatinib for hepatocellular carcinoma.

Methods: A total of 55 C57 mice were injected subcutaneously with Hepa1-6 hepatoma cell suspensions into the right posterior thigh. After 7 days, the subcutaneous tumors were formed, and the mice were randomly divided into five groups: TM (G1), Lenvatinib (G2), TM+Lenvatinib (G3), Control (G4), and Copper (II) Gluconate (G5).

Colon cancer patient with long-term colon stent placement: Case report and literature review.

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer mortality globally. Large bowel obstruction (occurring in 15-30% of patients with CRCs) accounts for approximately 80% of medical emergencies related to CRC. Currently, there is no standard treatment of this condition.

Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft Attention.

Automatic tissue segmentation in whole-slide images (WSIs) is a critical task in hematoxylin and eosin- (H&E-) stained histopathological images for accurate diagnosis and risk stratification of lung cancer. Patch classification and stitching the classification results can fast conduct tissue segmentation of WSIs. However, due to the tumour heterogeneity, large intraclass variability and small interclass variability make the classification task challenging.

ATF4/TXNIP/REDD1/mTOR signaling mediates the antitumor activities of liver X receptor in pancreatic cancers.

Background: Limited by difficulties in early detection and availabilities of effective treatments, pancreatic cancer is a highly malignant disease with poor prognosis. Nuclear receptors are a family of ligand-dependent transcription factors that are highly druggable therapeutic targets playing critical roles in human physiological and pathological development, including cancer. In this study, we explored the therapeutic potential as well as the molecular mechanisms of liver X receptor (LXR) agonist GW3965 in pancreatic cancer.

A nomogram based on A-to-I RNA editing predicting overall survival of patients with lung squamous carcinoma.

Background: Adenosine-to-inosine RNA editing (ATIRE) is characterized as non-mutational epigenetic reprogramming hallmark of cancer, while little is known about its predictive role in cancer survival.

Methods: To explore survival-related ATIRE events in lung squamous cell carcinoma (LUSC), ATIRE profile, gene expression data, and corresponding clinical information of LUSC patients were downloaded from the TCGA database. Patients were randomly divided into a training (n = 134) and validation cohort (n = 94).

Prevention of acute graft-vs.-host disease by targeting glycolysis and mTOR pathways in activated T cells.

Graft-versus-host disease (GvHD) is a common life-threatening complication that can occur following allogeneic hematopoietic stem cell transplantation. This occurs if donor T cells recognize the host as foreign. During acute GvHD (aGVHD), activated T cells utilize glycolysis as the main source of energy generation.

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

Tissue-level semantic segmentation is a vital step in computational pathology. Fully-supervised models have already achieved outstanding performance with dense pixel-level annotations. However, drawing such labels on the giga-pixel whole slide images is extremely expensive and time-consuming.

Meta multi-task nuclei segmentation with fewer training samples.

Cells/nuclei deliver massive information of microenvironment. An automatic nuclei segmentation approach can reduce pathologists' workload and allow precise of the microenvironment for biological and clinical researches. Existing deep learning models have achieved outstanding performance under the supervision of a large amount of labeled data.

Genomic features of Chinese small cell lung cancer.

Background: Small cell lung cancer (SCLC) is an aggressive disease with poor survival. Although molecular and clinical characteristics have been established for SCLC in western patients, limited investigation has been performed for Chinese SCLC patients.

Objective: In this study, we investigated the genomic features of Chinese SCLC patients.

Transradial versus Transfemoral Access for Patients with Liver Cancer Undergoing Hepatic Arterial Infusion Chemotherapy: Patient Experience and Procedural Complications.

Purpose: To determine whether transradial access (TRA) is a more favorable and safe method for hepatic arterial infusion chemotherapy (HAIC) than transfemoral access (TFA).

Materials And Methods: Retrospective and prospective cohorts of patients with liver cancer were included. Sixty-seven patients in the retrospective cohort were divided into 2 groups: (a) TRA-HAIC (n = 24) and (b) TFA-HAIC (n = 43).

Application of Artificial Intelligence on Psychological Interventions and Diagnosis: An Overview.

Background: Innovative technologies, such as machine learning, big data, and artificial intelligence (AI) are approaches adopted for personalized medicine, and psychological interventions and diagnosis are facing huge paradigm shifts. In this literature review, we aim to highlight potential applications of AI on psychological interventions and diagnosis.

Methods: This literature review manifest studies that discuss how innovative technology as deep learning (DL) and AI is affecting psychological assessment and psychotherapy, we performed a search on PUBMED, and Web of Science using the terms "psychological interventions," "diagnosis on mental health disorders," "artificial intelligence," and "deep learning.

Establishing a prognostic model for metachronous second squamous cell lung cancer in patients with resected squamous cell lung cancer.

Background: For metachronous second pulmonary squamous cell carcinoma (msPSC) in patients with resected PSC, the method to distinguish tumour clonality has not yet been well established, which makes it difficult to determine accurate staging and predict prognosis.

Methods: Patients who underwent surgery for first PSC and encountered msPSC were recruited from the Surveillance, Epidemiology, and End Results (SEER) database. We extracted overall survival 1 (OS1) for the first PSC, overall survival 2 (OS2) for msPSC, and interval survival for the time interval between the first and second PSC.

Survival outcome of local vs. radical excision in rectal gastrointestinal stromal tumor: a SEER database analysis.

Background: The choice of surgical strategy for patients with rectal gastrointestinal stromal tumor (GIST) remains controversial. This study aims to address whether the surgical procedure [local excision (LE) vs. radical excision (RE)] influences the survival outcomes.

Multi-Omics Profiling Identifies Pathways Associated With CD8 T-Cell Activation in Severe Aplastic Anemia.

Severe aplastic anemia (SAA) is an autoimmune disease characterized by immune-mediated destruction of hematopoietic stem and progenitor cells. Autoreactive CD8 T cells have been reported as the effector cells; however, the mechanisms regulating their cell activation in SAA remain largely unknown. Here, we performed proteomics and metabolomics analyses of plasma and bone marrow supernatant, together with transcriptional analysis of CD8 T cells from SAA patients and healthy donors, to find key pathways that are involved in pathogenic CD8 T-cell activation.

RNA mA methylation regulates dissemination of cancer cells by modulating expression and membrane localization of β-catenin.

N6-methyladenosine (mA) methylation, which is modified by the METTL3/METTL14 complex, is a dominant internal modification in mammalian RNA and tightly linked to cancer progression. Here we reveal that METTL3-promoted cell migration, invasion, and epithelial-to-mesenchymal transition (EMT) are associated with expression and membrane localization of β-catenin (encoded by CTNNB1), as opposed to Wnt signaling activation in various types of cancer cells, including cervical, lung, and liver cancer. Specifically, METTL3 regulates the transcription, mRNA decay, translation, and subcellular localization of β-catenin.

Associations between serum total bilirubin, obesity and type 2 diabetes.

Background: This study aims to examine the cross-sectional association between serum total bilirubin (STB) and type 2 diabetes (T2D) risk in the general population, and whether obesity could moderate this association.

Methods: We used data from the 1999-2018 National Health and Nutrition Examination Surveys (NHANES), including a total of 38,641 US adult participants who were 18 years or older. The STB was classified as the low, moderate, and high groups according to tertiles.