AIMC Topic: Cell Proliferation

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Effect of Cell-Cell Interaction on Single-Cell Behavior Revealed by a Deep Learning-Aided High-Throughput Addressable Single-Cell Coculture System.

Analytical chemistry May 13, 2025
Cell-cell interactions are crucial for understanding various physiological and pathological processes, yet conventional population-level methods fail to disclose the heterogeneity at a single-cell resolution. Single-cell coculture systems that isolat...
Humans Cell Movement Human Umbilical Vein Endothelial Cells Cell Communication High-Throughput Screening Assays Coculture Techniques Deep Learning Cell Line, Tumor Single-Cell Analysis Cell Proliferation
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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...
Macrophage Activation Cell Line, Tumor Prognosis Gene Expression Regulation, Neoplastic Female Male Membrane Proteins Gene Expression Profiling Cell Proliferation Humans Cell Movement Machine Learning Osteosarcoma Macrophages Bone Neoplasms Precision Medicine Tumor-Associated Macrophages
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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 ...
Cell Line, Tumor Cell Proliferation Cell Movement Glioblastoma Cell Cycle Humans Temozolomide Machine Learning Antineoplastic Agents, Alkylating Brain Neoplasms DNA Modification Methylases DNA Repair Enzymes Drug Resistance, Neoplasm Tumor Suppressor Proteins
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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...
Immunotherapy Gene Expression Regulation, Neoplastic Cell Proliferation Stomach Neoplasms Adenocarcinoma Biomarkers, Tumor Cell Movement Male Lactic Acid Cell Line, Tumor Insulin-Like Growth Factor Binding Proteins Humans Artificial Intelligence Prognosis
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A Novel Effective Models for Identifying BRCA Patients and Optimizing Clinical Treatments.

Anti-cancer agents in medicinal chemistry Jan 1, 2025
OBJECTIVE: This study aimed to develop an effective model that identifies high-risk breast cancer (BRCA) patients and optimizes clinical treatments.
Antineoplastic Agents Cell Proliferation Drug Screening Assays, Antitumor Machine Learning Prognosis Female Breast Neoplasms Humans
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Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.

Journal of cellular and molecular medicine Dec 1, 2024
Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway with immunotherapies has shown promise as a novel glioma treatment. However, not all patients experience long-lasting benefits, underscoring the necess...
Programmed Cell Death 1 Receptor Biomarkers, Tumor Brain Neoplasms Cell Line, Tumor Gene Expression Regulation, Neoplastic Immunotherapy Cell Proliferation Treatment Outcome Glioma Humans Artificial Intelligence Prognosis Tumor Microenvironment
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Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4.

Frontiers in bioscience (Landmark edition) Nov 29, 2024
BACKGROUND: Aneuploidy is crucial yet under-explored in cancer pathogenesis. Specifically, the involvement of brain expressed X-linked gene 4 () in microtubule formation has been identified as a potential aneuploidy mechanism. Nevertheless, 's compre...
Humans Machine Learning Neoplasms Gene Expression Regulation, Neoplastic Membrane Proteins Cell Proliferation Aneuploidy Cytoskeletal Proteins Myristoylated Alanine-Rich C Kinase Substrate
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Identification of novel M2 macrophage-related molecule ATP6V1E1 and its biological role in hepatocellular carcinoma based on machine learning algorithms.

Journal of cellular and molecular medicine Sep 1, 2024
Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterized by late detection and suboptimal response to current therapies. The tumour microenvironment, especially the role of M2 macrophages, is pivotal in th...
Humans Machine Learning Macrophages Prognosis Female Cell Proliferation Kaplan-Meier Estimate Vacuolar Proton-Translocating ATPases Cell Line, Tumor Liver Neoplasms Carcinoma, Hepatocellular Gene Expression Regulation, Neoplastic Tumor Microenvironment Biomarkers, Tumor Male Middle Aged
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Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Journal of cellular and molecular medicine Jul 1, 2024
Melanoma, a highly malignant tumour, presents significant challenges due to its cellular heterogeneity, yet research on this aspect in cutaneous melanoma remains limited. In this study, we utilized single-cell data from 92,521 cells to explore the tu...
Gene Expression Regulation, Neoplastic Cell Proliferation Cluster Analysis Melanoma, Cutaneous Malignant Biomarkers, Tumor Cell Line, Tumor Single-Cell Analysis Immunotherapy Machine Learning Prognosis Melanoma Skin Neoplasms Humans
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Deciphering lung adenocarcinoma prognosis and immunotherapy response through an AI-driven stemness-related gene signature.

Journal of cellular and molecular medicine Jul 1, 2024
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related deaths, and improving prognostic accuracy is vital for personalised treatment approaches, especially in the context of immunotherapy. In this study, we constructed an artificial intellig...
Humans Artificial Intelligence Prognosis Biomarkers, Tumor Cell Movement Adenocarcinoma of Lung CDC2-CDC28 Kinases Immunotherapy Gene Expression Regulation, Neoplastic Cell Proliferation Neoplastic Stem Cells Gene Expression Profiling Transcriptome Cell Line, Tumor Lung Neoplasms
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