Literature DB >> 25416410

Urinary protein biomarkers in the early detection of lung cancer.

Brian M Nolen1, Aleksey Lomakin2, Adele Marrangoni3, Liudmila Velikokhatnaya3, Denise Prosser3, Anna E Lokshin4.   

Abstract

The early detection of lung cancer has the potential to greatly impact disease burden through the timely identification and treatment of affected individuals at a manageable stage of development. The insufficient specificity demonstrated by currently used screening and diagnostic techniques has led to intense investigation into biomarkers as diagnostic tools. Urine may represent a noninvasive alternative matrix for diagnostic biomarker development. We performed an analysis of 242 biomarkers in urines obtained from 83 patients with non-small cell lung carcinomas (NSCLC), 74 patients diagnosed with benign pulmonary conditions, and 77 healthy donors. A large number of significant alterations were observed between the NSCLC and control groups. A multivariate analysis identified a three-biomarker panel consisting of IGFBP-1, sIL-1Ra, CEACAM-1, which discriminated NSCLC from healthy controls with a sensitivity/specificity of 84/95 in an initial training set and 72/100 in an independent validation set. This panel performed well among multiple subtypes of NSCLC and early-stage disease but demonstrated only limited efficacy for the discrimination of NSCLC from benign controls and limited specificity for patients with several other cancers and tuberculosis. These findings demonstrate that urine biomarkers may provide screening and diagnostic properties which exceed those reported for serum biomarkers and approach a level necessary for further clinical development. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25416410      PMCID: PMC4315760          DOI: 10.1158/1940-6207.CAPR-14-0210

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  41 in total

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3.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

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9.  A multi-analyte serum test for the detection of non-small cell lung cancer.

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  16 in total

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-03-24       Impact factor: 4.254

2.  Volatile organic compounds of biofluids for detecting lung cancer by an electronic nose based on artificial neural network.

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4.  Chinese Herbal Medicine Fuzheng Kang-Ai Decoction Inhibited Lung Cancer Cell Growth through AMPKα-Mediated Induction and Interplay of IGFBP1 and FOXO3a.

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5.  A Prediction Model Based on Biomarkers and Clinical Characteristics for Detection of Lung Cancer in Pulmonary Nodules.

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8.  Urine Proteome Profiling Predicts Lung Cancer from Control Cases and Other Tumors.

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