AIMC Topic: Cell Line, Tumor

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Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis.

Journal of controlled release : official journal of the Controlled Release Society May 10, 2025
Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor response to pharmacological treatment, partially due to insufficient drug delivery across blood-brain barrier. In this study, we developed a novel ther...
Animals Peptides Cell Line, Tumor Immune Checkpoint Inhibitors Artificial Intelligence Female Blood-Brain Barrier Brain Neoplasms Acrylamides Proto-Oncogene Proteins c-myc Oligonucleotides, Antisense Nanoconjugates Mice Lymphoma Mice, Inbred C57BL Programmed Cell Death 1 Receptor Humans
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Development of a prognostic model for osteosarcoma based on macrophage polarization-related genes using machine learning: implications for personalized therapy.

Clinical and experimental medicine May 9, 2025
While neoadjuvant chemotherapy combined with surgical resection has improved the prognosis for patients with osteosarcoma, its impact on metastatic and recurrent cases remains limited. Immunotherapy is emerging as a promising alternative. However, th...
Tumor-Associated Macrophages Gene Expression Profiling Precision Medicine Cell Proliferation Humans Macrophage Activation Cell Line, Tumor Prognosis Cell Movement Machine Learning Gene Expression Regulation, Neoplastic Female Osteosarcoma Macrophages Membrane Proteins Male Bone Neoplasms
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A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide.

Scientific reports May 8, 2025
Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells with different levels of sensitivity to chemotherapy, which may lead to treatment failure as the more resistant cells can survive drug treatment and ...
Brain Neoplasms Cell Line, Tumor Cell Proliferation Cell Movement Tumor Suppressor Proteins Glioblastoma Cell Cycle Humans Temozolomide DNA Modification Methylases Machine Learning Antineoplastic Agents, Alkylating DNA Repair Enzymes Drug Resistance, Neoplasm
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Large-scale information retrieval and correction of noisy pharmacogenomic datasets through residual thresholded deep matrix factorization.

Briefings in bioinformatics May 1, 2025
Pharmacogenomics studies are attracting an increasing amount of interest from researchers in precision medicine. The advances in high-throughput experiments and multiplexed approaches allow the large-scale quantification of drug sensitivities in mole...
Cell Line, Tumor Humans Computational Biology Information Storage and Retrieval Algorithms Neoplasms Deep Learning Pharmacogenetics
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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...
Prognosis Biomarkers, Tumor Animals Gene Expression Profiling Humans Machine Learning Esophageal Neoplasms Transcriptome Cell Line, Tumor Glycolipids Mice Esophageal Squamous Cell Carcinoma Gene Expression Regulation, Neoplastic
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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...
Gene Expression Regulation, Neoplastic Proto-Oncogene Proteins c-mdm2 Antineoplastic Agents Cell Line, Tumor Genomics Multiomics Humans Machine Learning Neoplasms Molecular Docking Simulation
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Single and Multi-Objective Optimization of the Red Pine Mushroom Lactarius deliciosus (Agaricomycetes) Extraction Conditions Using Artificial Intelligence Methods and Biological Activities of Optimized Extracts.

International journal of medicinal mushrooms Jan 1, 2025
In this study, the biological activities of Lactarius deliciosus were determined. Experimental studies were carried out using a soxhlet device, in the range of 40-70°C extraction temperature, 3-9 h extraction time and 0.5-2 mg/ ml extraction conditio...
Humans Neural Networks, Computer Artificial Intelligence Basidiomycota Algorithms Cell Line, Tumor Antioxidants
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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 (...
Genes, Essential Drug Resistance, Neoplasm Bayes Theorem Cell Line, Tumor Mitophagy Cisplatin Gene Expression Regulation, Neoplastic Mitochondria Humans Apoptosis Osteosarcoma Neoplasms Deep Learning
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Artificial Intelligence-Guided Identification of IGFBP7 as a Critical Indicator in Lactic Metabolism Determines Immunotherapy Response in Stomach Adenocarcinoma.

Journal of cellular and molecular medicine Jan 1, 2025
Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and varies in response to treatment, making it one of the main causes of cancer-related mortality globally. Recent data point to a significant role for metab...
Cell Proliferation Adenocarcinoma Cell Movement Lactic Acid Insulin-Like Growth Factor Binding Proteins Male Cell Line, Tumor Immunotherapy Gene Expression Regulation, Neoplastic Prognosis Stomach Neoplasms Biomarkers, Tumor Humans Artificial Intelligence
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TPD52 as a Therapeutic Target Identified by Machine Learning Shapes the Immune Microenvironment in Breast Cancer.

Journal of cellular and molecular medicine Jan 1, 2025
Breast cancer (BRCA) is one of the most common malignancies and a leading cause of cancer-related mortality among women globally. Despite advances in diagnosis and treatment, the heterogeneity of BRCA presents significant challenges for effective man...
Gene Expression Profiling Cell Line, Tumor Single-Cell Analysis Computational Biology Female Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Gene Expression Regulation, Neoplastic Neoplasm Proteins Humans Machine Learning Prognosis
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