Quantitative proteomic analysis reveals potential diagnostic markers and pathways involved in pathogenesis of renal cell carcinoma.
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Proteomics and peptidomics: moving toward precision medicine in urological malignanciesSerum and urine biomarkers for human renal cell carcinomaIntegrative analysis to select cancer candidate biomarkers to targeted validation.Analysis and interpretation of transcriptomic data obtained from extended Warburg effect genes in patients with clear cell renal cell carcinoma.AHNAK2 is a potential prognostic biomarker in patients with PDAC.Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma.The fascinating story of urine examination: From uroscopy to the era of microscopy and beyond.Metabolomic profile of glycolysis and the pentose phosphate pathway identifies the central role of glucose-6-phosphate dehydrogenase in clear cell-renal cell carcinomaProteotranscriptomic Analysis Reveals Stage Specific Changes in the Molecular Landscape of Clear-Cell Renal Cell Carcinoma.PGRMC1 Is a Novel Potential Tumor Biomarker of Human Renal Cell Carcinoma Based on Quantitative Proteomic and Integrative Biological AssessmentsLactate dehydrogenase A negatively regulated by miRNAs promotes aerobic glycolysis and is increased in colorectal cancer.Increased Expression of the Autocrine Motility Factor is Associated With Poor Prognosis in Patients With Clear Cell-Renal Cell Carcinoma.Englerin A induces an acute inflammatory response and reveals lipid metabolism and ER stress as targetable vulnerabilities in renal cell carcinomaThe miR-34a-LDHA axis regulates glucose metabolism and tumor growth in breast cancerThe clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.Reduced cytosolic carboxypeptidase 6 (CCP6) level leads to accumulation of serum polyglutamylated DNAJC7 protein: A potential biomarker for renal cell carcinoma early detection.Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma.Downregulation of HSP60 disrupts mitochondrial proteostasis to promote tumorigenesis and progression in clear cell renal cell carcinomaSerum Proteome Alterations in Patients with Cognitive Impairment after Traumatic Brain Injury Revealed by iTRAQ-Based Quantitative Proteomics.Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing mapsMiR-34b-3 and miR-449a inhibit malignant progression of nasopharyngeal carcinoma by targeting lactate dehydrogenase A.Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development.Quantitative proteomic analysis of formalin-fixed, paraffin-embedded clear cell renal cell carcinoma tissue using stable isotopic dimethylation of primary amines.Identification of CALM as the potential serum biomarker for predicting the recurrence of nasopharyngeal carcinoma using a mass spectrometry-based comparative proteomic approach.The proteomic landscape of renal tumors.Liquid biopsy: a step forward towards precision medicine in urologic malignancies.Prognostic significance of two lipid metabolism enzymes, HADHA and ACAT2, in clear cell renal cell carcinoma.Urinary metabolites in patients undergoing coronary catheterization via the radial versus femoral artery approach.Alpha-enolase is a potential prognostic marker in clear cell renal cell carcinoma.Label-free quantitative proteomic analysis reveals potential biomarkers and pathways in renal cell carcinoma.Proteome profiling of clear cell renal cell carcinoma in von Hippel-Lindau patients highlights upregulation of Xaa-Pro aminopeptidase-1, an anti-proliferative and anti-migratory exoprotease.A versatile reversed phase-strong cation exchange-reversed phase (RP-SCX-RP) multidimensional liquid chromatography platform for qualitative and quantitative shotgun proteomics.G6PD promotes renal cell carcinoma proliferation through positive feedback regulation of p-STAT3.Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).
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Quantitative proteomic analysis reveals potential diagnostic markers and pathways involved in pathogenesis of renal cell carcinoma.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2014
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
@en
Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
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type
label
Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
@en
Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
@nl
prefLabel
Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
@en
Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
@nl
P2093
P2860
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Quantitative proteomic analysi ...... nesis of renal cell carcinoma.
@en
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Alexander D Romaschin
Georg A Bjarnason
George M Yousef
K W Michael Siu
Kenneth Pace
Leroi V Desouza
Michael As Jewett
Nicole M A White
Olena Masui
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P304
P356
10.18632/ONCOTARGET.1529
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P577
2014-01-01T00:00:00Z