Yun Wu

Epigenetic Regulation of Sialyltransferase ST6GAL1 Drives Breast Tumor Heterogeneity

Aparna Maiti, Kei Kawashima, Hongjoo An, Lydia J. B. Redman et autres

Background/Objectives: Tumor progression is often accompanied by sialylation of cell-surface N-glycan glycoproteins with α2-6-linked sialic acids by the sialyltransferase ST6GAL1. Moreover, a hallmark of human cancers is heterogeneity in ST6GAL1 expression among cancer cells, yet the mechanisms and significance of this variability …

us, jp (code pays fourni par la source)

Comparative Diagnostic Performance of IOTA Simple Rules, the ADNEX Model, and ACR O-RADS in a Selected Surgical Cohort of Adnexal Masses: A Retrospective Study

Lijun Wu, Yun Wu, Tao Hu, Juan Qian et autres

Background/Objectives: The accurate preoperative risk stratification of adnexal masses is clinically important. This study compared the diagnostic performance of the International Ovarian Tumor Analysis (IOTA) Simple Rules (SR), the Assessment of Different NEoplasias in the adneXa (ADNEX) model, and the American College …

cn (code pays fourni par la source)

Zwitterionic polymers as PEG alternatives for systemic in vivo drug delivery: promises, challenges, and perspectives

Chong Cheng, Yun Wu, Yaxin An

Carriers for in vivo drug delivery systems (DDSs) administrated systemically need to meet a set of requirements to gain potential for clinical applications [1,2]. First, they must be biocompatible ...

us (code pays fourni par la source)

Exosomal Thomsen–Friedenreich Glycoantigen as a Sensitive and Specific Biomarker for Colon, Ovarian and Prostate Cancer Diagnosis

Yafei Su, Man Qi, Shoaib Vasini, Mary E. Reid et autres

Background/Objectives: The screening and diagnosis of colon, ovarian, and prostate cancers are challenged by invasive procedures and lack of effective screening tests. To address these challenges, we developed an exosome-based liquid biopsy assay that utilized a new exosomal biomarker, α-linked Thomsen–Friedenreich glycoantigen …

us (code pays fourni par la source)

Lipid nanoparticles that co-deliver poly(I:C) and short peptide antigens elicit anti-tumor responses with vaccination

Yuan Luo, Qinzhe Li, Shiqi Zhou, Hunseung Oh et autres

us, ca (code pays fourni par la source)

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Huanwen Liang, Jingxian Xu, Yuanji Zhang, Yuhao Huang et autres

cn (code pays fourni par la source)

Development and evaluation of a multiplex molecular point-of-care assay for direct identification of Mycobacterium tuberculosis and prioritized non-tuberculous mycobacteria

Qiaolian Yi, Yun Wu, Shuang He, Xiaoyu Liu et autres

Objective This study aimed to establish a multiplex molecular point-of-care assay called fastNTM incorporating an ultra-fast sample pre-treatment for direct identification of Mycobacterium tuberculosis complex (MTBC) and 8 non-tuberculous Mycobacteria (NTM) commonly prioritized in clinical settings, and to evaluate its performance in …

cn (code pays fourni par la source)

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Huanwen Liang, Jingxian Xu, Yuanji Zhang, Yuhao Huang et autres

Fetal abdominal malformations are serious congenital anomalies that require accurate diagnosis to guide pregnancy management and reduce mortality. Although AI has demonstrated significant potential in medical diagnosis, its application to prenatal abdominal anomalies remains limited. Most existing studies focus on image-level classification …

Synthesis, Characterization, and In Vitro Properties of Zwitterionic Dendrimers with a Reactive Focal Functionality for Biomedical Applications

Mingxuan Zhang, Masoud Zamani, Yuan Su, Ashley Miles et autres

As novel, well-defined, highly branched macromolecules with numerous superhydrophilic terminal groups, zwitterionic dendrimers (ZDs) are expected to possess charge-neutral outer layers, which can be highly hydrated to exhibit superior antifouling properties and minimized undesirable interactions within biological systems. The incorporation of ZDs …

us (code pays fourni par la source)

A Machine Learning Model for Predicting Breast Cancer Recurrence and Supporting Personalized Treatment Decisions Through Comprehensive Feature Selection and Explainable Ensemble Learning

Tsair-Fwu Lee, Jun‐Ping Shiau, Chia-Hui Chen, Yun Wu et autres

Purpose: This study investigates the efficiency of a machine learning model integrating least absolute shrinkage and selection operator (LASSO) feature selection with ensemble learning in predicting recurrence risk and supporting personalized treatment decisions in breast cancer patients. Materials and Methods: Clinical data …

ye, tw, us (code pays fourni par la source)

Table S2 from Exosomal Thomsen–Friedenreich Glycoantigen: A New Liquid Biopsy Biomarker for Lung and Breast Cancer Diagnoses

Chang-Chieh Hsu, Yafei Su, Kate Rittenhouse‐Olson, Kristopher Attwood et autres

Supplementary Table S2. Characteristics of Breast Cancer Patients and Controls.

Figure S2 from Exosomal Thomsen–Friedenreich Glycoantigen: A New Liquid Biopsy Biomarker for Lung and Breast Cancer Diagnoses

Chang-Chieh Hsu, Yafei Su, Kate Rittenhouse‐Olson, Kristopher Attwood et autres

Supplementary Figure S2. SPR assay demonstrated exosomes carry TF-Ag-α. Exosomes were isolated from cancer patient serum samples using both total exosome isolation kit (from serum) (ThermoFisher) and exoRNeasy midi kit (Qiagen). Significantly higher levels of TF-Ag-α were observed in exosome samples isolated …