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Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

http://www.wikidata.org/entity/Q33688951

about

Urinary proteomics and metabolomics studies to monitor bladder health and urological diseases A statistical framework to model the meeting-in-the-middle principle using metabolomic data: application to hepatocellular carcinoma in the EPIC study.Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method.Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer.Metabolic profiling and novel plasma biomarkers for predicting survival in epithelial ovarian cancer.Metabolite marker discovery for the detection of bladder cancer by comparative metabolomics.Urinary metabolite profiling combined with computational analysis predicts interstitial cystitis-associated candidate biomarkers A study of the effects of exercise on the urinary metabolome using normalisation to individual metabolic output.The fascinating story of urine examination: From uroscopy to the era of microscopy and beyond.Is 5´-AMP-Activated Protein Kinase Both Jekyll and Hyde in Bladder Cancer?Metabolomics in bladder cancer: a systematic review.Direct quantitative detection for cell-free miR-155 in urine: a potential role in diagnosis and prognosis for non-muscle invasive bladder cancer Human plasma metabolomics for identifying differential metabolites and predicting molecular subtypes of breast cancer.Increased expression of SUMO1P3 predicts poor prognosis and promotes tumor growth and metastasis in bladder cancer Metabolic Pathway Signatures Associated with Urinary Metabolite Biomarkers Differentiate Bladder Cancer Patients from Healthy Controls NMR-based fecal metabolomics fingerprinting as predictors of earlier diagnosis in patients with colorectal cancer.Noninvasive metabolic profiling for painless diagnosis of human diseases and disorders.UBE2C cell-free RNA in urine can discriminate between bladder cancer and hematuria.Immunosuppressive effect of bladder cancer on function of dendritic cells involving of Jak2/STAT3 pathway Non-targeted and targeted metabolomics approaches to diagnosing lung cancer and predicting patient prognosis.A characteristic biosignature for discrimination of gastric cancer from healthy population by high throughput GC-MS analysis.Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer.Novel methodologies in analysis of small molecule biomarkers and living cells.A short review of applications of liquid chromatography mass spectrometry based metabolomics techniques to the analysis of human urine.Peiminine inhibits colorectal cancer cell proliferation by inducing apoptosis and autophagy and modulating key metabolic pathways.Biomarkers in bladder cancer: A metabolomic approach using in vitro and ex vivo model systems.Discovery of urine biomarkers for bladder cancer via global metabolomics.Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics.Metabolomic analysis identifies differentially produced oral metabolites, including the oncometabolite 2-hydroxyglutarate, in patients with head and neck squamous cell carcinoma.Metabolomic Approaches in Cancer Epidemiology.Metabolomics for the masses: The future of metabolomics in a personalized world.The development of plasma pseudotargeted GC-MS metabolic profiling and its application in bladder cancer.The crucial role of multiomic approach in cancer research and clinically relevant outcomes.Bladder cancer recurrence surveillance by urine metabolomics analysis.Unmasking molecular profiles of bladder cancer.Targeting immunotherapy for bladder cancer using anti-CD3× B7-H3 bispecific antibody Liquid Biopsy Biomarkers in Bladder Cancer: A Current Need for Patient Diagnosis and Monitoring Metabolomics of Non-muscle Invasive Bladder Cancer: Biomarkers for Early Detection of Bladder Cancer

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Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

http://www.wikidata.org/entity/Q33688951

description

2014 nî lūn-bûn

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2014 թուականի Մարտին հրատարակուած գիտական յօդուած

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2014 թվականի մարտին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

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Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

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type

label

Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

@ast

Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

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prefLabel

Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

@ast

Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

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ONCOTARGET.1744

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Diagnosis of bladder cancer and prediction of survival by urinary metabolomics

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Isaac Yi Kim

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Pildu Jeong

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Sunghyouk Park

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Wun-Jae Kim

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Xing Jin

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P2860

On the Origin of Cancer Cells

A novel mitochondrial carnitine-acylcarnitine translocase induced by partial hepatectomy and fasting

Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis

The human and mouse SLC25A29 mitochondrial transporters rescue the deficient ornithine metabolism in fibroblasts of patients with the hyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome.

Pharmacologic inhibition of fatty acid oxidation sensitizes human leukemia cells to apoptosis induction

Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles

Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer.

A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases

An HR-MAS MR metabolomics study on breast tissues obtained with core needle biopsy

Mass spectrometry for the molecular imaging of angiotensin metabolism in kidney.

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1635-1645

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scholarly article

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10.18632/ONCOTARGET.1744

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6

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4039236

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