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Gene Expression Regulation, Neoplastic

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Impact of glioma metabolism-related gene ALPK1 on tumor immune heterogeneity and the regulation of the TGF-β pathway.

Frontiers in immunology 39845963
BACKGROUND: Recent years have seen persistently poor prognoses for glioma patients. Therefore, exploring the molecular subtyping of gliomas, identifying novel prognostic biomarkers, and understanding the characteristics of their immune microenvironme...
Biomarkers, Tumor Brain Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Glioma Humans Machine Learning Prognosis Signal Transduction Tumor Microenvironment
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Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy.

Frontiers in immunology 39840058
BACKGROUND: Hepatocellular carcinoma (LIHC) poses a significant health challenge worldwide, primarily due to late-stage diagnosis and the limited effectiveness of current therapies. Cancer stem cells are known to play a role in tumor development, met...
Biomarkers, Tumor Carcinoma, Hepatocellular Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Immunotherapy Liver Neoplasms Machine Learning Neoplastic Stem Cells Prognosis S100 Proteins Single-Cell Analysis
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Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma.

Frontiers in immunology 39835132
BACKGROUND: The Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulation, impacting the effectiveness of immunotherapy and patient outcomes in melanoma. However, the specific downstream targets and mechanisms by which A...
Animals Basic Helix-Loop-Helix Transcription Factors Biomarkers, Tumor Computational Biology Databases, Genetic Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Lymphocytes, Tumor-Infiltrating Machine Learning Melanoma Mice Prognosis Receptors, Aryl Hydrocarbon Skin Neoplasms Transcriptome Tumor Microenvironment
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Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.

Scientific reports 39856156
To integrate machine learning and multiomic data on lactylation-related genes (LRGs) for molecular typing and prognosis prediction in lung adenocarcinoma (LUAD). LRG mRNA and long non-coding RNA transcriptomes, epigenetic methylation data, and somati...
Adenocarcinoma of Lung Biomarkers, Tumor Female Gene Expression Regulation, Neoplastic Humans Lung Neoplasms Machine Learning Male Mutation Prognosis Transcriptome
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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 39834330
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 (...
Apoptosis Bayes Theorem Cell Line, Tumor Cisplatin Deep Learning Drug Resistance, Neoplasm Gene Expression Regulation, Neoplastic Genes, Essential Humans Mitochondria Mitophagy Neoplasms Osteosarcoma
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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 39823329
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...
Animals Cell Line, Tumor Deep Learning Gene Expression Profiling Gene Expression Regulation, Neoplastic Heterografts Humans Mice Neoplasms Transcriptome Xenograft Model Antitumor Assays
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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 39823244
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...
Biomarkers, Tumor Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Machine Learning Melanoma MicroRNAs Protein Interaction Maps Signal Transduction
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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 39823156
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)-...
Adenocarcinoma of Lung Biomarkers, Tumor Computational Biology Databases, Genetic Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Lung Neoplasms Machine Learning Mitochondria Prognosis
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Integrated multi-omics analysis identifies a machine learning-derived signature for predicting prognosis and therapeutic vulnerability in clear cell renal cell carcinoma.

Life sciences 39809381
AIMS: Clear cell renal cell carcinoma (ccRCC) shows considerable variation within and between tumors, presents varying treatment responses among patients, possibly due to molecular distinctions. This study utilized a multi-center and multi-omics anal...
Algorithms Biomarkers, Tumor Carcinoma, Renal Cell Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Genomics Humans Kidney Neoplasms Machine Learning Male Middle Aged Multiomics Prognosis
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The role of mitophagy-related genes in prognosis and immunotherapy of cutaneous melanoma: a comprehensive analysis based on single-cell RNA sequencing and machine learning.

Immunologic research 39799269
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer progression and therapy response. This study aims to elucidate the role of mitophagy-related genes (MRGs) in cutaneous melanoma (CM) through single-cell...
Biomarkers, Tumor Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Immunotherapy Machine Learning Melanoma Melanoma, Cutaneous Malignant Mitophagy Prognosis Sequence Analysis, RNA Single-Cell Analysis Skin Neoplasms Transcriptome Tumor Microenvironment
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