AIMC Topic: Lymphocytes, Tumor-Infiltrating

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Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer.

Journal of translational medicine Mar 10, 2025
BACKGROUND: The presence of tumour-infiltrating lymphocytes (TILs) is a well-established prognostic biomarker across multiple cancer types, with higher TIL counts being associated with lower recurrence rates and improved patient survival. We aimed to...
Humans Prognosis Female Aged Lymphocytes, Tumor-Infiltrating Disease-Free Survival Automation Multivariate Analysis Colorectal Neoplasms Male Middle Aged Deep Learning
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Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.

Frontiers in immunology Feb 26, 2025
BACKGROUND: Breast cancer, a highly prevalent global cancer, poses significant challenges, especially in advanced stages. Prognostic models are crucial to enhance patient outcomes. Tertiary lymphoid structures (TLS) within the tumor microenvironment ...
Humans Machine Learning Prognosis Female Lymphocytes, Tumor-Infiltrating Tertiary Lymphoid Structures Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Single-Cell Analysis
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Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer.

Cancer immunology, immunotherapy : CII Feb 1, 2025
With the incorporation of immune checkpoint inhibitors into the treatment of endometrial cancer (EC), a deeper understanding of the tumor immune microenvironment is critical. Tertiary lymphoid structures (TLSs) are considered favorable prognostic fac...
Endometrial Neoplasms Clinical Relevance Tertiary Lymphoid Structures Artificial Intelligence Prognosis Female Aged Tumor Microenvironment Middle Aged Lymphocytes, Tumor-Infiltrating Humans
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Scientific reports Jan 23, 2025
Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC gr...
Humans Machine Learning Lymphocytes, Tumor-Infiltrating Neoplasm Grading Mouth Neoplasms Carcinoma, Squamous Cell Reproducibility of Results Squamous Cell Carcinoma of Head and Neck
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The global trends and distribution in tumor-infiltrating lymphocytes over the past 49 years: bibliometric and visualized analysis.

Frontiers in immunology Jan 6, 2025
BACKGROUND: The body of research on tumor-infiltrating lymphocytes (TILs) is expanding rapidly; yet, a comprehensive analysis of related publications has been notably absent.
Neoplasms Lymphocytes, Tumor-Infiltrating Bibliometrics Humans Tumor Microenvironment Biomedical Research
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Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma.

Frontiers in immunology Jan 6, 2025
BACKGROUND: The Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulation, impacting the effectiveness of immunotherapy and patient outcomes in melanoma. However, the specific downstream targets and mechanisms by which A...
Computational Biology Gene Expression Regulation, Neoplastic Lymphocytes, Tumor-Infiltrating Receptors, Aryl Hydrocarbon Gene Expression Profiling Transcriptome Mice Databases, Genetic Basic Helix-Loop-Helix Transcription Factors Machine Learning Prognosis Melanoma Skin Neoplasms Tumor Microenvironment Biomarkers, Tumor Animals Humans
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High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC.

Frontiers in immunology Dec 19, 2024
INTRODUCTION: Tumor-infiltrating lymphocytes are both prognostic and predictive biomarkers for immunotherapy response. However, less is known about the survival benefits oftheir subpopulations.
Carcinoma, Non-Small-Cell Lung Lymphocytes, Tumor-Infiltrating Hepatocyte Nuclear Factor 1-alpha CD8-Positive T-Lymphocytes Male Middle Aged Lung Neoplasms Prognosis Female Aged Biomarkers, Tumor Humans
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Machine learning-based selection of immune cell markers in osteosarcoma: prognostic determination and validation of CLK1 in disease progression.

Frontiers in immunology Dec 17, 2024
INTRODUCTION: Osteosarcoma (OS) is a malignancy of the bone that mainly afflicts younger individuals. Despite existing treatment approaches, patients with metastatic or recurrent disease generally face poor prognoses. A greater understanding of the t...
Humans Machine Learning Prognosis Female Tumor Microenvironment Biomarkers, Tumor Male Protein-Tyrosine Kinases DNA Copy Number Variations Protein Serine-Threonine Kinases Cell Proliferation Lymphocytes, Tumor-Infiltrating Osteosarcoma Bone Neoplasms Disease Progression Cell Line, Tumor Gene Expression Regulation, Neoplastic
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Machine learning-driven estimation of mutational burden highlights DNAH5 as a prognostic marker in colorectal cancer.

Biology direct Nov 14, 2024
BACKGROUND: Tumor Mutational Burden (TMB) have emerged as pivotal predictive biomarkers in determining prognosis and response to immunotherapy in colorectal cancer (CRC) patients. While Whole Exome Sequencing (WES) stands as the gold standard for TMB...
Middle Aged Lymphocytes, Tumor-Infiltrating Mutation Humans Machine Learning Prognosis Female Colorectal Neoplasms Biomarkers, Tumor Male
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Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis.

Scientific reports Sep 27, 2024
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma (LUAD) using machine learning (ML) techniques, focusing on early immune infiltration. Feature selection was performed on The Cancer Genome Atlas (TCGA...
Gene Expression Regulation, Neoplastic Support Vector Machine Lymphocytes, Tumor-Infiltrating Adenocarcinoma of Lung Gene Expression Profiling ROC Curve Lung Neoplasms Humans Machine Learning Algorithms Prognosis Biomarkers, Tumor
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