Gene Expression Regulation, Neoplastic

Machine Learning-Based Glycolipid Metabolism Gene Signature Predicts Prognosis and Immune Landscape in Oesophageal Squamous Cell Carcinoma.

Journal of cellular and molecular medicine Mar 1, 2025

Using machine learning approaches, we developed and validated a novel prognostic model for oesophageal squamous cell carcinoma (ESCC) based on glycolipid metabolism-related genes. Through integrated analysis of TCGA and GEO datasets, we established a...

Biomarkers, Tumor Animals Gene Expression Profiling Transcriptome Humans Machine Learning Prognosis Esophageal Neoplasms Glycolipids Esophageal Squamous Cell Carcinoma Cell Line, Tumor Mice Gene Expression Regulation, Neoplastic

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Exploring Mechanisms and Biomarkers of Breast Cancer Invasion and Migration: An Explainable Gene-Pathway-Compounds Neural Network.

Cancer medicine Mar 1, 2025

BACKGROUNDS: Exploring the molecular features that drive breast cancer invasion and migration remains an important biological and clinical challenge. In recent years, the use of interpretable machine learning models has enhanced our understanding of ...

Neural Networks, Computer Female Breast Neoplasms Biomarkers, Tumor Gene Regulatory Networks Gene Expression Regulation, Neoplastic Cell Movement Neoplasm Invasiveness Humans

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Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms.

Cancer medicine Mar 1, 2025

BACKGROUND: Gastric cancer (GC) is considered a highly heterogeneous disease, and currently, a comprehensive approach encompassing molecular data from various biological levels is lacking.

Prognosis Female Stomach Neoplasms Biomarkers, Tumor Humans Machine Learning Algorithms Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Kaplan-Meier Estimate Male Middle Aged Gene Expression Profiling ROC Curve

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Constructing a Prognostic Model for Subtypes of Colorectal Cancer Based on Machine Learning and Immune Infiltration-Related Genes.

Journal of cellular and molecular medicine Feb 1, 2025

This study constructed a prognostic model combining machine learning-based immune infiltration-related genes in each CRC subtype. We used publicly accessible gene expression data and clinical information on colorectal cancer patients. Integrated bioi...

Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic DNA Copy Number Variations Biomarkers, Tumor Male Gene Expression Profiling ROC Curve Prognosis Female Colorectal Neoplasms Humans Machine Learning Algorithms

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Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

Journal of cellular and molecular medicine Feb 1, 2025

The aim of this study was to validate the diagnostic potential of four previously identified miRNAs in two independent cohorts and to develop accurate classification models to predict invasiveness of bladder cancer. Furthermore, molecular subtypes we...

Middle Aged Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Neoplasm Invasiveness Aged Biomarkers, Tumor Male MicroRNAs Humans Machine Learning Female

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Integrative machine learning approach for identification of new molecular scaffold and prediction of inhibition responses in cancer cells using multi-omics data.

Briefings in functional genomics Jan 15, 2025

MDM2 (Mouse Double Minute 2), a fundamental governor of the p53 tumor suppressor pathway, has garnered significant attention as a favorable target for cancer therapy. Recent years have witnessed the development and synthesis of potent MDM2 inhibitors...

Multiomics Gene Expression Regulation, Neoplastic Proto-Oncogene Proteins c-mdm2 Molecular Docking Simulation Antineoplastic Agents Humans Cell Line, Tumor Machine Learning Genomics Neoplasms

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Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.

Journal of cellular and molecular medicine Jan 1, 2025

It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of tumours. This wor...

Gene Expression Regulation, Neoplastic Humans Glioma Biomarkers, Tumor Machine Learning Coronary Artery Disease Brain Neoplasms Prognosis Genome-Wide Association Study Tumor Microenvironment

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Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Journal of cellular and molecular medicine Jan 1, 2025

Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However, identifying hub genes regulating mitophagy and developing mitophagy-based treatments to combat drug resistance remains challenging. Herein, BayeDEM (...

Mitophagy Cisplatin Mitochondria Drug Resistance, Neoplasm Humans Apoptosis Osteosarcoma Genes, Essential Bayes Theorem Neoplasms Deep Learning Cell Line, Tumor Gene Expression Regulation, Neoplastic

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Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis.

Journal of cellular and molecular medicine Jan 1, 2025

This study identifies microRNAs (miRNAs) with significant discriminatory power in distinguishing melanoma from nevus, notably hsa-miR-26a and hsa-miR-211, which have exhibited diagnostic potential with accuracy of 81% and 78% respectively. To enhance...

Biomarkers, Tumor Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction MicroRNAs Humans Machine Learning Melanoma

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Immunoinfiltration Analysis of Mitochondrial Damage-Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine Learning Algorithms.

Cancer medicine Jan 1, 2025

BACKGROUND: Lung adenocarcinoma (LUAD) exhibits molecular heterogeneity, with mitochondrial damage affecting progression. The relationship between mitochondrial damage and immune infiltration, and Weighted Gene Co-expression Network Analysis (WGCNA)-...

Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic Mitochondria Adenocarcinoma of Lung Biomarkers, Tumor Humans Gene Expression Profiling Machine Learning Gene Regulatory Networks Prognosis Lung Neoplasms

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Explore the latest research on artificial intelligence and machine learning in medicine.

Gene Expression Regulation, Neoplastic

Machine Learning-Based Glycolipid Metabolism Gene Signature Predicts Prognosis and Immune Landscape in Oesophageal Squamous Cell Carcinoma.

Exploring Mechanisms and Biomarkers of Breast Cancer Invasion and Migration: An Explainable Gene-Pathway-Compounds Neural Network.

Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms.

Constructing a Prognostic Model for Subtypes of Colorectal Cancer Based on Machine Learning and Immune Infiltration-Related Genes.

Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

Integrative machine learning approach for identification of new molecular scaffold and prediction of inhibition responses in cancer cells using multi-omics data.

Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.

Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis.

Immunoinfiltration Analysis of Mitochondrial Damage-Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine Learning Algorithms.

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