AIMC Topic: Gene Expression Regulation, Neoplastic

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Prediction of Composite Clinical Outcomes for Childhood Neuroblastoma Using Multi-Omics Data and Machine Learning.

International journal of molecular sciences Dec 27, 2024
Neuroblastoma is a common malignant tumor in childhood that seriously endangers the health and lives of children, making it essential to find effective prognostic markers to accurately predict their clinical outcomes. The development of high-throughp...
DNA Methylation Neuroblastoma Child ROC Curve Multiomics Gene Expression Regulation, Neoplastic Male Infant Child, Preschool Machine Learning Humans Prognosis Female Biomarkers, Tumor
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Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder cancer.

Journal of translational medicine Dec 23, 2024
OBJECTIVE: The evaluation of the efficacy of immunotherapy is of great value for the clinical treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi-omics analysis have shown great potential in the field of cancer diagn...
Multiomics Gene Expression Regulation, Neoplastic Cell Proliferation Treatment Outcome Single-Cell Analysis Computational Biology Immunotherapy Urinary Bladder Neoplasms Cell Movement Apoptosis Proteasome Endopeptidase Complex Humans Neural Networks, Computer Prognosis Reproducibility of Results Tumor Microenvironment Cell Line, Tumor
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Spatially-resolved analyses of muscle invasive bladder cancer microenvironment unveil a distinct fibroblast cluster associated with prognosis.

Frontiers in immunology Dec 20, 2024
BACKGROUND: Muscle-invasive bladder cancer (MIBC) is a prevalent cancer characterized by molecular and clinical heterogeneity. Assessing the spatial heterogeneity of the MIBC microenvironment is crucial to understand its clinical significance.
Transcriptome Tumor Microenvironment Humans Single-Cell Analysis Prognosis Cancer-Associated Fibroblasts Biomarkers, Tumor Female Neoplasm Invasiveness Male Gene Expression Regulation, Neoplastic Fibroblasts Gene Expression Profiling Urinary Bladder Neoplasms
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Machine learning-based integration develops a disulfidptosis-related lncRNA signature for improving outcomes in gastric cancer.

Artificial cells, nanomedicine, and biotechnology Dec 19, 2024
Gastric cancer remains one of the deadliest cancers globally due to delayed detection and limited treatment options, underscoring the critical need for innovative prognostic methods. Disulfidptosis, a recently discovered programmed cell death trigger...
Humans Machine Learning Prognosis Stomach Neoplasms Gene Expression Regulation, Neoplastic Apoptosis RNA, Long Noncoding
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Exploring tumor microenvironment interactions and apoptosis pathways in NSCLC through spatial transcriptomics and machine learning.

Cellular oncology (Dordrecht, Netherlands) Dec 19, 2024
BACKGROUND: The most common type of lung cancer is non-small cell lung cancer (NSCLC), accounting for 85% of all cases. Programmed cell death (PCD), an important regulatory mechanism for cell survival and homeostasis, has become increasingly prominen...
Apoptosis Gene Expression Profiling Transcriptome Cell Line, Tumor Lung Neoplasms Humans Machine Learning Prognosis Gene Expression Regulation, Neoplastic Tumor Microenvironment Cell Proliferation Signal Transduction Carcinoma, Non-Small-Cell Lung
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SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictions.

Genome biology Dec 18, 2024
The accuracy of machine learning methods is often limited by the amount of training data that is available. We proposed to improve machine learning training regimes by augmenting datasets with synthetically generated samples. We present a method for ...
Algorithms Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Machine Learning Software
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Deep profiling of gene expression across 18 human cancers.

Nature biomedical engineering Dec 17, 2024
Clinical and biological information in large datasets of gene expression across cancers could be tapped with unsupervised deep learning. However, difficulties associated with biological interpretability and methodological robustness have made this im...
Deep Learning Gene Expression Regulation, Neoplastic Humans Neoplasms Gene Expression Profiling Transcriptome Unsupervised Machine Learning Mutation
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Machine learning-based selection of immune cell markers in osteosarcoma: prognostic determination and validation of CLK1 in disease progression.

Frontiers in immunology Dec 17, 2024
INTRODUCTION: Osteosarcoma (OS) is a malignancy of the bone that mainly afflicts younger individuals. Despite existing treatment approaches, patients with metastatic or recurrent disease generally face poor prognoses. A greater understanding of the t...
Tumor Microenvironment Biomarkers, Tumor Male Disease Progression Machine Learning Humans Protein Serine-Threonine Kinases Osteosarcoma Prognosis Bone Neoplasms Female Protein-Tyrosine Kinases Cell Line, Tumor DNA Copy Number Variations Gene Expression Regulation, Neoplastic Cell Proliferation Lymphocytes, Tumor-Infiltrating
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Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response.

Frontiers in immunology Dec 17, 2024
BACKGROUND: Liver hepatocellular carcinoma (LIHC) ranks as the foremost cause of cancer-related deaths worldwide, and its early detection poses considerable challenges. Current prognostic indicators, including alpha-fetoprotein, have notable limitati...
Liver Neoplasms Carcinoma, Hepatocellular Single-Cell Analysis Immunotherapy Gene Expression Regulation, Neoplastic Neoplastic Stem Cells Female Tumor Microenvironment Biomarkers, Tumor Male Humans Prognosis
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Identification and validation of the nicotine metabolism-related signature of bladder cancer by bioinformatics and machine learning.

Frontiers in immunology Dec 17, 2024
BACKGROUND: Several studies indicate that smoking is one of the major risk factors for bladder cancer. Nicotine and its metabolites, the main components of tobacco, have been found to be strongly linked to the occurrence and progression of bladder ca...
Humans Machine Learning Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Transcriptome Nicotine Cell Line, Tumor Computational Biology Immunotherapy Prognosis Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling
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