npj Digital Medicine, Published online: 30 December 2025; doi:10.1038/s41746-025-02252-3
Computational network models for forecasting and control of mental health trajectories in digital applicationsNormal view
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Journal of Medical Internet Research
- Correction: Effects of Internet-Based Cognitive Behavioral Therapy in Routine Care for Adults in Treatment for Depression and Anxiety: Systematic Review and Meta-Analysis
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npj Digital Medicine
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Computational network models for forecasting and control of mental health trajectories in digital applications
npj Digital Medicine, Published online: 30 December 2025; doi:10.1038/s41746-025-02252-3Computational network models for forecasting and control of mental health trajectories in digital applications
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(Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)
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Metabolic signatures in gastroenteropancreatic neuroendocrine neoplasms: unraveling diagnostic and prognostic insights
Front Endocrinol (Lausanne). 2025 Dec 11;16:1676021. doi: 10.3389/fendo.2025.1676021. eCollection 2025.ABSTRACTGastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a heterogeneous group of tumors characterized by diverse biological behaviors and variable clinical outcomes. Recent advances have highlighted the important role of metabolic reprogramming in tumorigenesis, progression, and therapeutic resistance in GEP-NENs. In this review, we synthesize the current evidence on metabolic bi
Metabolic signatures in gastroenteropancreatic neuroendocrine neoplasms: unraveling diagnostic and prognostic insights
Front Endocrinol (Lausanne). 2025 Dec 11;16:1676021. doi: 10.3389/fendo.2025.1676021. eCollection 2025.
ABSTRACT
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a heterogeneous group of tumors characterized by diverse biological behaviors and variable clinical outcomes. Recent advances have highlighted the important role of metabolic reprogramming in tumorigenesis, progression, and therapeutic resistance in GEP-NENs. In this review, we synthesize the current evidence on metabolic biomarkers and altered metabolic pathways-particularly those involving glucose, lipid, and amino acid metabolism. Key biomarkers such as GLUT-1, FASN, and enzymes involved in ferroptosis, cholesterol biosynthesis, and amino acid catabolism demonstrate strong associations with tumor aggressiveness, hypoxia, and mTOR signaling. Moreover, metabolomic profiling and functional studies suggest that metabolic markers may inform prognosis and predict response to targeted therapies such as Everolimus. Although promising, the clinical translation of these markers is still limited and requires further validation in large, subtype-specific cohorts. Our findings highlight the importance of integrating metabolic profiling into the diagnostic and therapeutic landscape of GEP-NENs. Future research should prioritize biomarker standardization, multi-omics integration, and the development of metabolism-based therapeutic strategies tailored to tumor subtype and differentiation grade.
PMID:41458541 | PMC:PMC12738315 | DOI:10.3389/fendo.2025.1676021