Literature DB >> 17334370

Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer.

Avrum Spira1, Jennifer E Beane, Vishal Shah, Katrina Steiling, Gang Liu, Frank Schembri, Sean Gilman, Yves-Martine Dumas, Paul Calner, Paola Sebastiani, Sriram Sridhar, John Beamis, Carla Lamb, Timothy Anderson, Norman Gerry, Joseph Keane, Marc E Lenburg, Jerome S Brody.   

Abstract

Lung cancer is the leading cause of death from cancer in the US and the world. The high mortality rate (80-85% within 5 years) results, in part, from a lack of effective tools to diagnose the disease at an early stage. Given that cigarette smoke creates a field of injury throughout the airway, we sought to determine if gene expression in histologically normal large-airway epithelial cells obtained at bronchoscopy from smokers with suspicion of lung cancer could be used as a lung cancer biomarker. Using a training set (n = 77) and gene-expression profiles from Affymetrix HG-U133A microarrays, we identified an 80-gene biomarker that distinguishes smokers with and without lung cancer. We tested the biomarker on an independent test set (n = 52), with an accuracy of 83% (80% sensitive, 84% specific), and on an additional validation set independently obtained from five medical centers (n = 35). Our biomarker had approximately 90% sensitivity for stage 1 cancer across all subjects. Combining cytopathology of lower airway cells obtained at bronchoscopy with the biomarker yielded 95% sensitivity and a 95% negative predictive value. These findings indicate that gene expression in cytologically normal large-airway epithelial cells can serve as a lung cancer biomarker, potentially owing to a cancer-specific airway-wide response to cigarette smoke.

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Year:  2007        PMID: 17334370     DOI: 10.1038/nm1556

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  221 in total

1.  Optical detection of buccal epithelial nanoarchitectural alterations in patients harboring lung cancer: implications for screening.

Authors:  Hemant K Roy; Hariharan Subramanian; Dhwanil Damania; Thomas A Hensing; William N Rom; Harvey I Pass; Daniel Ray; Jeremy D Rogers; Andrej Bogojevic; Maitri Shah; Tomasz Kuzniar; Prabhakar Pradhan; Vadim Backman
Journal:  Cancer Res       Date:  2010-10-05       Impact factor: 12.701

2.  Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Authors:  Jennifer Beane; Jessica Vick; Frank Schembri; Christina Anderlind; Adam Gower; Joshua Campbell; Lingqi Luo; Xiao Hui Zhang; Ji Xiao; Yuriy O Alekseyev; Shenglong Wang; Shawn Levy; Pierre P Massion; Marc Lenburg; Avrum Spira
Journal:  Cancer Prev Res (Phila)       Date:  2011-06

3.  Development of transcriptomic biomarker signature in human saliva to detect lung cancer.

Authors:  Lei Zhang; Hua Xiao; Hui Zhou; Silverio Santiago; Jay M Lee; Edward B Garon; Jieping Yang; Ole Brinkmann; Xinmin Yan; David Akin; David Chia; David Elashoff; No-Hee Park; David T W Wong
Journal:  Cell Mol Life Sci       Date:  2012-06-12       Impact factor: 9.261

4.  Airway PI3K pathway activation is an early and reversible event in lung cancer development.

Authors:  Adam M Gustafson; Raffaella Soldi; Christina Anderlind; Mary Beth Scholand; Jun Qian; Xiaohui Zhang; Kendal Cooper; Darren Walker; Annette McWilliams; Gang Liu; Eva Szabo; Jerome Brody; Pierre P Massion; Marc E Lenburg; Stephen Lam; Andrea H Bild; Avrum Spira
Journal:  Sci Transl Med       Date:  2010-04-07       Impact factor: 17.956

5.  Future prospects for biomarkers of alcohol consumption and alcohol-induced disorders.

Authors:  Willard M Freeman; Kent E Vrana
Journal:  Alcohol Clin Exp Res       Date:  2010-04-05       Impact factor: 3.455

Review 6.  An evolutionary perspective on field cancerization.

Authors:  Kit Curtius; Nicholas A Wright; Trevor A Graham
Journal:  Nat Rev Cancer       Date:  2017-12-08       Impact factor: 60.716

Review 7.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

Authors:  Ravi Ramesh Pathak; Vrushank Davé
Journal:  Cell Physiol Biochem       Date:  2014-04-28

8.  The joint graphical lasso for inverse covariance estimation across multiple classes.

Authors:  Patrick Danaher; Pei Wang; Daniela M Witten
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2014-03       Impact factor: 4.488

9.  Procedures for risk-stratification of lung cancer using buccal nanocytology.

Authors:  H Subramanian; P Viswanathan; L Cherkezyan; R Iyengar; S Rozhok; M Verleye; J Derbas; J Czarnecki; H K Roy; V Backman
Journal:  Biomed Opt Express       Date:  2016-08-31       Impact factor: 3.732

Review 10.  Airway gene expression in chronic obstructive pulmonary disease.

Authors:  Katrina Steiling; Marc E Lenburg; Avrum Spira
Journal:  Proc Am Thorac Soc       Date:  2009-12
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