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Osteopontin

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Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

BMJ open 36282635
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Breast Feeding Carbohydrates Cesarean Section Child Cohort Studies Fatty Acids Female Humans Infant Japan Lactation Male Milk, Human Nutrients Osteopontin Phospholipids Pregnancy Prospective Studies Vitamin D
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[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology 30626477
Objective To investigate the effects of Astragalus polysaccharide (APS) combined with cisplatin (DDP) on the pathological morphology of recurrent tumor and the expression of metastasis-related proteins CD44, CD62P and osteopontin (OPN) following Lewi...
Animals Astragalus Plant Carcinoma, Lewis Lung Cell Line, Tumor Cisplatin Hyaluronan Receptors Lung Neoplasms Mice Mice, Inbred C57BL Neoplasm Recurrence, Local Osteopontin P-Selectin Polysaccharides Random Allocation
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Machine learning-based screening and validation of liver metastasis-specific genes in colorectal cancer.

Scientific reports 39085446
Colorectal liver metastasis (CRLM) is challenging in the clinical treatment of colorectal cancer. Limited research has been conducted on how CRLM develops. RNA sequencing data were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome...
Biomarkers, Tumor Cell Line, Tumor Colorectal Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Liver Neoplasms Machine Learning Osteopontin Prognosis
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Integrating cellular experiments, single-cell sequencing, and machine learning to identify endoplasmic reticulum stress biomarkers in idiopathic pulmonary fibrosis.

Annals of medicine 39340293
BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) presents a severe respiratory challenge with a poor prognosis due to the lack of reliable biomarkers. Recent evidence suggests that Endoplasmic Reticulum Stress (ERS) may be associated with IPF pathogen...
Biomarkers Endoplasmic Reticulum Stress Gene Expression Profiling Humans Idiopathic Pulmonary Fibrosis Machine Learning Osteopontin Prognosis Protein Interaction Maps Sequence Analysis, RNA Single-Cell Analysis
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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 39888730
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...
Biomarkers, Tumor Collagen Type I Collagen Type I, alpha 1 Chain DNA Topoisomerases, Type II Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Lung Neoplasms Machine Learning Osteopontin Poly-ADP-Ribose Binding Proteins Protein Interaction Maps SOXB1 Transcription Factors Tissue Inhibitor of Metalloproteinase-1
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