title: Discovery of potential protein biomarkers of lung adenocarcinoma in bronchoalveolar lavage fluid by SWATH MS data-independent acquisition and targeted data extraction.
abstract: Lung cancer currently ranks as the neoplasia with the highest global mortality rate. Although some improvements have been introduced in recent years, new advances in diagnosis are required in order to increase survival rates. New mildly invasive endoscopy-based diagnostic techniques include the collection of bronchoalveolar lavage fluid (BALF), which is discarded after using a portion of the fluid for standard pathological procedures. BALF proteomic analysis can contribute to clinical practice with more sensitive biomarkers, and can complement cytohistological studies by aiding in the diagnosis, prognosis, and subtyping of lung cancer, as well as the monitoring of treatment response. The range of quantitative proteomics methodologies used for biomarker discovery is currently being broadened with the introduction of data-independent acquisition (DIA) analysis-related approaches that address the massive quantitation of the components of a proteome. Here we report for the first time a DIA-based quantitative proteomics study using BALF as the source for the discovery of potential lung cancer biomarkers. The results have been encouraging in terms of the number of identified and quantified proteins. A panel of candidate protein biomarkers for adenocarcinoma in BALF is reported; this points to the activation of the complement network as being strongly over-represented and suggests this pathway as a potential target for lung cancer research. In addition, the results reported for haptoglobin, complement C4-A, and glutathione S-transferase pi are consistent with previous studies, which indicates that these proteins deserve further consideration as potential lung cancer biomarkers in BALF. Our study demonstrates that the analysis of BALF proteins by liquid chromatography-tandem mass spectrometry (LC-MS/MS), combining a simple sample pre-treatment and SWATH DIA MS, is a useful method for the discovery of potential lung cancer biomarkers.
  
  
  CONCLUSIONS
  Bronchoalveolar lavage fluid (BALF) analysis can contribute to clinical practice with more sensitive biomarkers, thus complementing cytohistological studies in order to aid in the diagnosis, prognosis, and subtyping of lung cancer, as well as the monitoring of treatment response. Here we report a panel of candidate protein biomarkers for adenocarcinoma in BALF. Forty-four proteins showed a fold-change higher than 3.75 among adenocarcinoma patients compared with controls. This report is the first DIA-based quantitative proteomics study to use bronchoalveolar lavage fluid (BALF) as a matrix for discovering potential biomarkers. The results are encouraging in terms of the number of identified and quantified proteins, demonstrating that the analysis of BALF proteins by a SWATH approach is a useful method for the discovery of potential biomarkers of pulmonary diseases.
authors.affiliation: Proteomics Unit, IMIBIC, Maimonides Institute for Biomedical Research, Córdoba, Spain. Electronic address: ignacio.ortea@imibic.org.
authors.forename: I
authors.initials: I
authors.lastname: Ortea
authors.affiliation: Medical Oncology Department, Reina Sofia University Hospital and IMIBIC, Maimonides Institute for Biomedical Research, Córdoba, Spain.
authors.forename: A
authors.initials: A
authors.lastname: Rodríguez-Ariza
authors.affiliation: Proteomics Unit, IMIBIC, Maimonides Institute for Biomedical Research, Córdoba, Spain.
authors.forename: E
authors.initials: E
authors.lastname: Chicano-Gálvez
authors.affiliation: Department of Respiratory Medicine, Reina Sofia University Hospital and IMIBIC, Maimonides Institute for Biomedical Research, Córdoba, Spain.
authors.forename: M S
authors.initials: MS
authors.lastname: Arenas Vacas
authors.affiliation: Department of Respiratory Medicine, Reina Sofia University Hospital and IMIBIC, Maimonides Institute for Biomedical Research, Córdoba, Spain.
authors.forename: B
authors.initials: B
authors.lastname: Jurado Gámez
mesh_terms: D000230:Adenocarcinoma / Q000378:metabolism* / Q000473:pathology; D000368:Aged; D014408:Biomarkers, Tumor / Q000378:metabolism*; D018893:Bronchoalveolar Lavage; D001992:Bronchoalveolar Lavage Fluid; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000378:metabolism* / Q000473:pathology; D008297:Male; D013058:Mass Spectrometry; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins
keywords: Adenocarcinoma; BALF; Data-independent acquisition; Lung cancer; Proteomics; SWATH