AIMC Topic: T-Cell Exhaustion

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Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Scientific reports May 29, 2025
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environmental and genetic factors, which can lead to severe disability and heavy social burden. This study aimed to find potential biomarkers related to T cell...
Humans Machine Learning Algorithms Biomarkers T-Lymphocytes Gene Expression Profiling Gene Regulatory Networks Computational Biology Databases, Genetic Ischemic Stroke T-Cell Exhaustion
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Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.

Frontiers in endocrinology May 27, 2025
BACKGROUND: The most frequent malignant tumor in women is breast cancer (BRCA). It has been discovered that T-cell exhaustion and macrophages play significant roles in BRCA. It was necessary to explore prognostic genes associated with T-cell exhausti...
Humans Macrophages Prognosis Female Breast Neoplasms Biomarkers, Tumor T-Lymphocytes Gene Expression Regulation, Neoplastic T-Cell Exhaustion
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Glycosylphosphatidylinositol anchor biosynthesis pathway-based biomarker identification with machine learning for prognosis and T cell exhaustion status prediction in breast cancer.

Frontiers in immunology Jul 2, 2024
As the primary component of anti-tumor immunity, T cells are prone to exhaustion and dysfunction in the tumor microenvironment (TME). A thorough understanding of T cell exhaustion (TEX) in the TME is crucial for effectively addressing TEX in clinical...
Humans Machine Learning Prognosis Female Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Lymphocytes, Tumor-Infiltrating CD8-Positive T-Lymphocytes Glycosylphosphatidylinositols T-Cell Exhaustion
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Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learning.

BMC cardiovascular disorders May 24, 2024
BACKGROUND: T-cell exhaustion (TEX), a condition characterized by impaired T-cell function, has been implicated in numerous pathological conditions, but its role in acute myocardial Infarction (AMI) remains largely unexplored. This research aims to i...
Humans Machine Learning Prognosis T-Lymphocytes Gene Expression Profiling Transcriptome Case-Control Studies Protein Interaction Maps Gene Regulatory Networks Computational Biology Databases, Genetic Predictive Value of Tests Myocardial Infarction Genetic Markers T-Cell Exhaustion
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