PURPOSE: Patients with malignant mesothelioma or adenocarcinoma of the lung often present with respiratory complications associated with a malignant pleural effusion. Distinguishing between these malignancies is frequently problematic, as many of the clinical, cytologic, and histologic features of the diseases overlap. Following cytologic analysis of pleural effusions, subsequent confirmatory tissue biopsies involve increased patient morbidity and expense. We have therefore designed a gene expression-based test to classify the primary tumor causing a malignant pleural effusion, using cells collected from the effusion itself. EXPERIMENTAL DESIGN: We have used microarray data for 190 lung adenocarcinomas and 33 malignant mesotheliomas to identify genes differentially expressed between the two diseases. Genes expressed in normal mesothelial cells were removed, allowing the development of a PCR-based test to measure the expression of genes that discriminate between mesothelioma and lung adenocarcinoma from cytology specimens. RESULTS: Applying an real-time PCR-based assay involving 17 genes to 13 independent samples from biopsy-proven malignant mesothelioma and lung adenocarcinomas resulted in the correct identification of all samples. CONCLUSIONS: We have developed a test that is able to distinguish between lung adenocarcinoma and mesothelioma in cells collected from pleural effusions.
PURPOSE:Patients with malignant mesothelioma or adenocarcinoma of the lung often present with respiratory complications associated with a malignant pleural effusion. Distinguishing between these malignancies is frequently problematic, as many of the clinical, cytologic, and histologic features of the diseases overlap. Following cytologic analysis of pleural effusions, subsequent confirmatory tissue biopsies involve increased patient morbidity and expense. We have therefore designed a gene expression-based test to classify the primary tumor causing a malignant pleural effusion, using cells collected from the effusion itself. EXPERIMENTAL DESIGN: We have used microarray data for 190 lung adenocarcinomas and 33 malignant mesotheliomas to identify genes differentially expressed between the two diseases. Genes expressed in normal mesothelial cells were removed, allowing the development of a PCR-based test to measure the expression of genes that discriminate between mesothelioma and lung adenocarcinoma from cytology specimens. RESULTS: Applying an real-time PCR-based assay involving 17 genes to 13 independent samples from biopsy-proven malignant mesothelioma and lung adenocarcinomas resulted in the correct identification of all samples. CONCLUSIONS: We have developed a test that is able to distinguish between lung adenocarcinoma and mesothelioma in cells collected from pleural effusions.
Authors: Brock C Christensen; Carmen J Marsit; E Andres Houseman; John J Godleski; Jennifer L Longacker; Shichun Zheng; Ru-Fang Yeh; Margaret R Wrensch; Joseph L Wiemels; Margaret R Karagas; Raphael Bueno; David J Sugarbaker; Heather H Nelson; John K Wiencke; Karl T Kelsey Journal: Cancer Res Date: 2009-07-28 Impact factor: 12.701
Authors: Chuan Bian Lim; Cecilia M Prêle; Hui Min Cheah; Yuen Yee Cheng; Sonja Klebe; Glen Reid; D Neil Watkins; Svetlana Baltic; Philip J Thompson; Steven E Mutsaers Journal: PLoS One Date: 2013-06-24 Impact factor: 3.240
Authors: Lingsheng Dong; Andrew J Bard; William G Richards; Matthew D Nitz; Dan Theodorescu; Raphael Bueno; Gavin J Gordon Journal: Adv Appl Bioinform Chem Date: 2009-01-12
Authors: J Creaney; A Segal; G Sterrett; M A Platten; E Baker; A R Murch; A K Nowak; B W S Robinson; M J Millward Journal: Br J Cancer Date: 2008-04-29 Impact factor: 7.640