Lung Cancer Diagnosis from Proteomic Analysis of Preinvasive Lesions

• Published in: Cancer research (Chicago, Ill.) Vol. 71; no. 8; pp. 3009 - 3017
• Main Authors: JAMSHEDUR RAHMAN, S. M, GONZALEZ, Adriana L, PUTNAM, Joe B, MILLER, York E, FRANKLIN, Wilbur A, BLOT, William J, CARBONE, David P, SHYR, Yu, CAPRIOLI, Richard M, MASSION, Pierre P, MING LI, SEELE, Erin H, ZIMMERMAN, Lisa J, ZHANG, Xueqiong J, MANIER, M. Lisa, OLSON, Sandra J, SHAH, Ronak N, MILLER, Alison N
• Format: Journal Article
• Language: English
• Published: Philadelphia, PA American Association for Cancer Research 15.04.2011
• Subjects: Aged; Antineoplastic agents; Biological and medical sciences; Blotting, Western; Early Detection of Cancer - methods; Female; Humans; Immunohistochemistry; Lung Neoplasms - diagnosis; Lung Neoplasms - metabolism; Male; Medical sciences; Middle Aged; Neoplasm Proteins - analysis; Neoplasm Proteins - metabolism; Pharmacology. Drug treatments; Pneumology; Proteomics - methods; Reproducibility of Results; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Tumors; Tumors of the respiratory system and mediastinum; Lung disease; Premalignant lesion; Respiratory disease; Analysis; Lung cancer; Proteomics; Bronchus disease; Malignant tumor; Diagnosis; Bronchopulmonary; Cancer

Early detection may help improve survival from lung cancer. In this study, our goal was to derive and validate a signature from the proteomic analysis of bronchial lesions that could predict the diagnosis of lung cancer. Using previously published studies of bronchial tissues, we selected a signatur...