AIMC Topic: DNA Topoisomerases, Type II

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Differential gene expression analysis and machine learning identified structural, TFs, cytokine and glycoproteins, including SOX2, TOP2A, SPP1, COL1A1, and TIMP1 as potential drivers of lung cancer.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Feb 10, 2025
BACKGROUND: Lung cancer is a primary global health concern, responsible for a considerable portion of cancer-related fatalities worldwide. Understanding its molecular complexities is crucial for identifying potential targets for treatment. The goal i...
Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Lung Neoplasms Gene Expression Regulation, Neoplastic Osteopontin Collagen Type I Tissue Inhibitor of Metalloproteinase-1 SOXB1 Transcription Factors Poly-ADP-Ribose Binding Proteins Collagen Type I, alpha 1 Chain DNA Topoisomerases, Type II
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Integrative PPI network and random forest analysis identifies KIF4A, TOP2A, and ASPM protein macromolecules as novel protein biomarkers in renal carcinoma pathogenesis.

International journal of biological macromolecules Jun 1, 2025
The pathogenesis of kidney cancer is not fully understood, so there is an urgent need to identify new biomarkers to improve diagnosis and treatment. The study identified KIF4A, TOP2A and ASPM as novel protein biomarkers for renal cancer and explored ...
Humans Prognosis Biomarkers, Tumor Gene Expression Profiling Cell Line, Tumor Protein Interaction Maps Computational Biology Gene Expression Regulation, Neoplastic Nerve Tissue Proteins Epithelial-Mesenchymal Transition Random Forest Kidney Neoplasms Carcinoma, Renal Cell Kinesins Poly-ADP-Ribose Binding Proteins DNA Topoisomerases, Type II
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