AIMC Topic: Gene Expression Regulation, Neoplastic

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Multi-omics analysis and experiments uncover the link between cancer intrinsic drivers, stemness, and immunotherapy in ovarian cancer with validation in a pan-cancer census.

Frontiers in immunology Jan 1, 2025
BACKGROUND: Although immune checkpoint inhibitors (ICIs) represent a substantial breakthrough in cancer treatment, it is crucial to acknowledge that their efficacy is limited to a subset of patients. The heterogeneity and stemness of cancer render it...
Gene Expression Regulation, Neoplastic Neoplastic Stem Cells Ovarian Neoplasms Female Biomarkers, Tumor Gene Expression Profiling Transcriptome Humans Immune Checkpoint Inhibitors Single-Cell Analysis Immunotherapy Multiomics
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Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma.

PeerJ Jan 1, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer mortality. Considering the critical role of tumor infiltrating lymphocytes in effective immunotherapy, this study was designed to screen molecular markers related to tumor infiltrating...
Humans Prognosis Female Biomarkers, Tumor Immunotherapy Gene Expression Regulation, Neoplastic Lymphocytes, Tumor-Infiltrating Adenocarcinoma of Lung Male Gene Expression Profiling Transcriptome Lung Neoplasms
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Predicting breast cancer prognosis based on a novel pathomics model through CHEK1 expression analysis using machine learning algorithms.

PloS one Jan 1, 2025
BACKGROUND: Checkpoint kinase 1 (CHEK1) is often overexpressed in solid tumors. Nonetheless, the prognostic significance of CHEK1 in breast cancer (BrC) remains unclear. This study used pathomics leverages machine learning to predict BrC prognosis ba...
Checkpoint Kinase 1 Middle Aged Humans Prognosis Gene Expression Regulation, Neoplastic Machine Learning Female Kaplan-Meier Estimate Algorithms Breast Neoplasms Biomarkers, Tumor
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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...
Genome-Wide Association Study Humans Tumor Microenvironment Gene Expression Regulation, Neoplastic Machine Learning Biomarkers, Tumor Prognosis Brain Neoplasms Glioma Coronary Artery Disease
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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 (...
Gene Expression Regulation, Neoplastic Apoptosis Drug Resistance, Neoplasm Osteosarcoma Genes, Essential Mitophagy Humans Bayes Theorem Neoplasms Deep Learning Cisplatin Cell Line, Tumor Mitochondria
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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...
Melanoma Biomarkers, Tumor Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction MicroRNAs Humans Machine Learning
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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 Biomarkers, Tumor Adenocarcinoma of Lung Humans Gene Expression Profiling Machine Learning Gene Regulatory Networks Prognosis Lung Neoplasms
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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...
Adenocarcinoma Cell Movement Lactic Acid Insulin-Like Growth Factor Binding Proteins Humans Cell Line, Tumor Artificial Intelligence Immunotherapy Prognosis Gene Expression Regulation, Neoplastic Cell Proliferation Stomach Neoplasms Biomarkers, Tumor Male
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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...
Biomarkers, Tumor Gene Expression Profiling Cell Line, Tumor Single-Cell Analysis Female Breast Neoplasms Tumor Microenvironment Computational Biology Gene Expression Regulation, Neoplastic Neoplasm Proteins Humans Machine Learning Prognosis
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Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.

MicroRNA (Shariqah, United Arab Emirates) Jan 1, 2025
INTRODUCTION: The differential expression of miRNAs, a key regulator in many cell signaling pathways, has been studied in various malignancies and may have an important role in cancer progression, including colorectal cancer (CRC).
Machine Learning Prognosis Female Colorectal Neoplasms Humans Gene Expression Regulation, Neoplastic MicroRNAs Biomarkers, Tumor Kaplan-Meier Estimate Gene Expression Profiling Gene Regulatory Networks
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