Tag Archives: prognostic

Systems Biology and Subnetworks in Breast Cancer

As a complex disease with heterogeneous factors involved, breast cancer have various subtypes with distinct therapeutic response patterns and outcomes (Yersal and Barutca, 2014). Conventional classification systems of breast cancer have limitations in describing such features. In order to achieve … Continue reading

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The Database of Biomarkers: Depression – fMRI Biomarkers

The Database of Biomarkers: Depression – fMRI Biomarkers •    Potential Biomarkers: Activation patterns: “greater and more sustained signals in three regions: BA24 (dorsal anterior cingulate), BA31 (posterior cingulate), and BA6 (prefrontal cortex)” Potential Applications: Diagnostic biomarkers in late-life anxious depression … Continue reading

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The Database of Biomarkers: Depression – EEG Biomarkers

The Database of Biomarkers: Depression – EEG Biomarkers •    Potential Biomarkers: “Midline and right frontal (MRF) cortical area,  early decreases in theta-band cordance” Potential Applications: Predictive biomarker of remission in major depressive disorder (MDD) References: Cook IA, Hunter AM, Abrams … Continue reading

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The Database of Biomarkers: Depression – Proteomic and Pathway Biomarkers

The Database of Biomarkers: Depression – Proteomic and Pathway Biomarkers •    Potential Biomarkers: The tryptophan-kynurenine pathway Detections: Increased indoleamine 2,3-dioxygenase activity Potential Applications: Diagnostic biomarkers References: Christmas DM, Potokar J, Davies SJ. A biological pathway linking inflammation and depression: activation … Continue reading

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The Database of Biomarkers: Depression – Epigenetic Biomarkers

The Database of Biomarkers: Depression – Epigenetic Biomarkers •    Potential Biomarkers: “DNA methylation profiles of CpG I at the promoters of the brain-derived neurotrophic factor (BDNF)” Potential Applications: Diagnostic biomarker References: Fuchikami M, Morinobu S, Segawa M, Okamoto Y, Yamawaki … Continue reading

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The integration of various “omics” technologies in systems biology for better diagnosis and treatment

With the advancements in the “omics” technologies and the information technology, systems biology has become an important approach for biomarker discovery. These technologies allow faster and cheaper analyses of gene expression, protein interactions, signaling pathways, and metabolic mechanisms. In this … Continue reading

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