AIMC Topic: Gene Expression Regulation, Neoplastic

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Impact of glioma metabolism-related gene ALPK1 on tumor immune heterogeneity and the regulation of the TGF-β pathway.

Frontiers in immunology Jan 7, 2025
BACKGROUND: Recent years have seen persistently poor prognoses for glioma patients. Therefore, exploring the molecular subtyping of gliomas, identifying novel prognostic biomarkers, and understanding the characteristics of their immune microenvironme...
Biomarkers, Tumor Humans Brain Neoplasms Gene Expression Regulation, Neoplastic Machine Learning Gene Expression Profiling Signal Transduction Prognosis Gene Regulatory Networks Glioma Tumor Microenvironment
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Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy.

Frontiers in immunology Jan 7, 2025
BACKGROUND: Hepatocellular carcinoma (LIHC) poses a significant health challenge worldwide, primarily due to late-stage diagnosis and the limited effectiveness of current therapies. Cancer stem cells are known to play a role in tumor development, met...
Neoplastic Stem Cells S100 Proteins Carcinoma, Hepatocellular Single-Cell Analysis Immunotherapy Gene Expression Regulation, Neoplastic Biomarkers, Tumor Humans Machine Learning Gene Expression Profiling Liver Neoplasms Prognosis
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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...
Humans Databases, Genetic Machine Learning Basic Helix-Loop-Helix Transcription Factors Computational Biology Biomarkers, Tumor Gene Expression Regulation, Neoplastic Prognosis Animals Lymphocytes, Tumor-Infiltrating Gene Expression Profiling Melanoma Receptors, Aryl Hydrocarbon Transcriptome Skin Neoplasms Mice Tumor Microenvironment
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Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

BMC cancer Jan 3, 2025
BACKGROUND: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulat...
Humans Machine Learning Prognosis Female Gene Expression Profiling Tumor Microenvironment Transcriptome Gene Expression Regulation, Neoplastic Biomarkers, Tumor Pancreatic Neoplasms Male Amino Acids
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Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.

Lung cancer (Amsterdam, Netherlands) Jan 2, 2025
OBJECTIVES: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through...
Neoplasm Staging Small Cell Lung Carcinoma Prognosis Immunotherapy Female Gene Expression Profiling Humans Male Gene Expression Regulation, Neoplastic Transcriptome Aged Middle Aged Machine Learning Antineoplastic Combined Chemotherapy Protocols Lung Neoplasms Biomarkers, Tumor Prospective Studies Treatment Outcome
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Analysis of diagnostic genes and molecular mechanisms of Crohn's disease and colon cancer based on machine learning algorithms.

Scientific reports Dec 30, 2024
Crohn's disease (CD) is a chronic inflammatory bowel condition, and colon adenocarcinoma (COAD), as one of the most prevalent malignant tumors of the digestive tract, has been indicated by research to have a close association with CD. This study empl...
Algorithms Biomarkers, Tumor Gene Expression Profiling ROC Curve Computational Biology Gene Expression Regulation, Neoplastic Adenocarcinoma Protein Interaction Maps Gene Regulatory Networks Humans Machine Learning Databases, Genetic Crohn Disease Colonic Neoplasms Matrix Metalloproteinase 3
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Identification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.

Scientific reports Dec 28, 2024
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transc...
Male Gene Expression Profiling Transcriptome Gene Regulatory Networks Humans Bone Neoplasms Gene Expression Regulation, Neoplastic Prognosis Machine Learning Retinoblastoma Osteosarcoma Female Biomarkers, Tumor
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Integrating immune multi-omics and machine learning to improve prognosis, immune landscape, and sensitivity to first- and second-line treatments for head and neck squamous cell carcinoma.

Scientific reports Dec 28, 2024
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness ...
Multiomics Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Biomarkers, Tumor DNA Methylation Humans Male Machine Learning Immune Checkpoint Inhibitors Algorithms Immunotherapy Prognosis Female
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Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer.

Scientific reports Dec 28, 2024
Gastric cancer (GC) is characterized by notable heterogeneity and the impact of molecular subtypes on treatment and prognosis. The role of programmed cell death (PCD) in cellular processes is critical, yet its specific function in GC is underexplored...
Transcriptome Multiomics Gene Expression Regulation, Neoplastic Apoptosis Tumor Microenvironment Biomarkers, Tumor Male Gene Expression Profiling DNA Copy Number Variations Mutation Machine Learning Prognosis Stomach Neoplasms Humans
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A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer.

Scientific reports Dec 28, 2024
Endometrial cancer is the most prevalent form of gynecologic malignancy, with a significant surge in incidence among youngsters. Although the advent of the immunotherapy era has profoundly improved patient outcomes, not all patients benefit from immu...
Prognosis Female Biomarkers, Tumor Animals Molecular Docking Simulation Humans Machine Learning Adenosine Gene Expression Profiling Cell Line, Tumor Gene Expression Regulation, Neoplastic Endometrial Neoplasms
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