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• W2587399783 abstract "Abstract Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples." @default.
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• W2587399783 date "2017-02-07" @default.
• W2587399783 modified "2023-10-01" @default.
• W2587399783 title "Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer" @default.
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• W2587399783 doi "https://doi.org/10.1038/srep42190" @default.
• W2587399783 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5294405" @default.
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