AIMC Topic: Xenograft Model Antitumor Assays

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Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.

Scientific reports Jul 1, 2025
In the field of cancer therapy, the diversity and heterogeneity of cancer genomes in clinical patients complicate and challenge the effective use of non-targeted drugs, as these drugs often fail to address specific genetic events. Recent advancements...
Animals Neoplasms Antineoplastic Agents Deep Learning Cell Line, Tumor Humans Xenograft Model Antitumor Assays Piperidines Drug Resistance, Neoplasm Protein Kinase Inhibitors Adenine Mice Genomics Gene Expression Regulation, Neoplastic Cell Proliferation Apoptosis
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Establishment of a prognostic model based on ER stress-related cell death genes and proposing a novel combination therapy in acute myeloid leukemia.

Journal of translational medicine May 21, 2025
BACKGROUND: Acute myeloid leukemia (AML) is a highly heterogeneous malignancy, presenting significant challenges in accurately predicting patient prognosis. Dysregulation of endoplasmic reticulum (ER) stress and resistance to programmed cell death (P...
Cell Death Xenograft Model Antitumor Assays Endoplasmic Reticulum Stress Female Tumor Microenvironment Humans Middle Aged Animals Prognosis Leukemia, Myeloid, Acute Cell Line, Tumor Male Mice Apoptosis Models, Biological
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Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts, and clinical tumors using deep learning.

Science advances Jan 17, 2025
Cell lines and patient-derived xenografts are essential to cancer research; however, the results derived from such models often lack clinical translatability, as they do not fully recapitulate the complex cancer biology. Identifying preclinical model...
Humans Animals Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Transcriptome Deep Learning Xenograft Model Antitumor Assays Cell Line, Tumor Heterografts Mice
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Discovery of anticancer peptides from natural and generated sequences using deep learning.

International journal of biological macromolecules Dec 18, 2024
Anticancer peptides (ACPs) demonstrate significant potential in clinical cancer treatment due to their ability to selectively target and kill cancer cells. In recent years, numerous artificial intelligence (AI) algorithms have been developed. However...
Drug Discovery Antineoplastic Agents Deep Learning Cell Line, Tumor Mice Amino Acid Sequence Xenograft Model Antitumor Assays Humans Animals Peptides
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Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth.

Cell communication and signaling : CCS Dec 5, 2024
BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long durational erlotinib treatment of non-small cell lung cancer (NSCLC) patients, leading to drug resistance and disease progression. Identification of new selec...
Mice Cell Proliferation Signal Transduction Carcinoma, Non-Small-Cell Lung Mice, Nude Animals Antineoplastic Agents Cell Line, Tumor Lung Neoplasms Oleanolic Acid Apoptosis Mutation Xenograft Model Antitumor Assays ErbB Receptors Protein Kinase Inhibitors Humans Machine Learning
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Comprehensive multi-omics analysis identifies chromatin regulator-related signatures and TFF1 as a therapeutic target in lung adenocarcinoma through a 429-combination machine learning approach.

Frontiers in immunology Oct 30, 2024
INTRODUCTION: Lung cancer is a leading cause of cancer-related deaths, with its incidence continuing to rise. Chromatin remodeling, a crucial process in gene expression regulation, plays a significant role in the development and progression of malign...
Humans Chromatin Trefoil Factor-1 Machine Learning Prognosis Cell Line, Tumor Gene Expression Regulation, Neoplastic Female Cell Proliferation Lung Neoplasms Tumor Microenvironment Apoptosis Mice Biomarkers, Tumor Xenograft Model Antitumor Assays Multiomics Animals Adenocarcinoma of Lung
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A deep learning model of tumor cell architecture elucidates response and resistance to CDK4/6 inhibitors.

Nature cancer Mar 5, 2024
Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6is) have revolutionized breast cancer therapy. However, <50% of patients have an objective response, and nearly all patients develop resistance during therapy. To elucidate the underlying mechanisms, ...
Cyclin-Dependent Kinase 4 Cyclin-Dependent Kinase 6 Humans Piperazines Female Breast Neoplasms Xenograft Model Antitumor Assays Animals Drug Resistance, Neoplasm Deep Learning Protein Kinase Inhibitors Cell Line, Tumor Mice Pyridines
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Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.

Computational and mathematical methods in medicine Feb 12, 2022
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. There...
Spleen Phytotherapy Humans Algorithms Mice, Nude Stomach Neoplasms Antineoplastic Agents, Phytogenic Cell Line, Tumor Animals Drugs, Chinese Herbal Mice Deep Learning Fluorouracil Computational Biology Xenograft Model Antitumor Assays Medicine, Chinese Traditional
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Myricitrin inhibits vascular endothelial growth factor-induced angiogenesis of human umbilical vein endothelial cells and mice.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Sep 17, 2020
In the present study, the protective effects of myricitrin against vascular endothelial growth factor (VEGF)-induced angiogenesis of vascular endothelial cells were characterized. Cells were induced with 50 ng/mL VEGF in the presence or absence of va...
Mice Human Umbilical Vein Endothelial Cells Humans Neovascularization, Physiologic Caspases Biomarkers Angiogenesis Inhibitors Vascular Endothelial Growth Factors Matrix Metalloproteinases Animals Disease Models, Animal Xenograft Model Antitumor Assays Neovascularization, Pathologic Cell Line, Tumor Apoptosis Flavonoids
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Molecular imaging and deep learning analysis of uMUC1 expression in response to chemotherapy in an orthotopic model of ovarian cancer.

Scientific reports Sep 10, 2020
Artificial Intelligence (AI) algorithms including deep learning have recently demonstrated remarkable progress in image-recognition tasks. Here, we utilized AI for monitoring the expression of underglycosylated mucin 1 (uMUC1) tumor antigen, a biomar...
Mice Cell Proliferation Mice, Nude Humans Apoptosis Artificial Intelligence Docetaxel Female Ovarian Neoplasms Molecular Imaging Animals Xenograft Model Antitumor Assays Antineoplastic Agents Mucin-1 Deep Learning Tumor Cells, Cultured
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