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Lung cancer diagnosis based on urinary modified nucleoside metabolic profiling / 中国医学科学院学报
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-298698
Responsible library: WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To study the feasibility of modified urinary nucleosides metabolic profiling on lung cancer diagnoses.</p><p><b>METHODS</b>The modified urinary nucleosides metabolic profiling from 42 normal adults and 80 patients with lung cancer were determined by a coupled-column high performance liquid chromatography system. Partial least squares-discriminant analysis (PLS-DA) models were used to class differentiation between the lung cancer patients and controls and to discover potential biomarkers.</p><p><b>RESULT</b>The PLS-DA model results showed that there was a clear differentiation between normal adults and lung cancers patients, with the value of prediction (Q2) equals to 0.744.</p><p><b>CONCLUSION</b>Modified urinary nucleosides metabolic profiling method is useful for lung cancer diagnoses.</p>
Subject(s)
Full text: Available Health context: SDG3 - Target 3.4 Reduce premature mortality due to noncommunicable diseases Health problem: Other Malignant Neoplasms / Other Respiratory Diseases / Trachea, Bronchus, Lung Cancers Database: WPRIM (Western Pacific) Main subject: Urine / Biomarkers / Least-Squares Analysis / Diagnosis / Metabolome / Lung Neoplasms / Models, Biological / Nucleosides Type of study: Diagnostic study / Prognostic study Limits: Adult / Humans Language: Chinese Journal: Acta Academiae Medicinae Sinicae Year: 2007 Document type: Article
Full text: Available Health context: SDG3 - Target 3.4 Reduce premature mortality due to noncommunicable diseases Health problem: Other Malignant Neoplasms / Other Respiratory Diseases / Trachea, Bronchus, Lung Cancers Database: WPRIM (Western Pacific) Main subject: Urine / Biomarkers / Least-Squares Analysis / Diagnosis / Metabolome / Lung Neoplasms / Models, Biological / Nucleosides Type of study: Diagnostic study / Prognostic study Limits: Adult / Humans Language: Chinese Journal: Acta Academiae Medicinae Sinicae Year: 2007 Document type: Article
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