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Published in: BMC Cancer 1/2016

Open Access 01-12-2016 | Research article

Analytical performance of a bronchial genomic classifier

Authors: Zhanzhi Hu, Duncan Whitney, Jessica R. Anderson, Manqiu Cao, Christine Ho, Yoonha Choi, Jing Huang, Robert Frink, Kate Porta Smith, Robert Monroe, Giulia C. Kennedy, P. Sean Walsh

Published in: BMC Cancer | Issue 1/2016

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Abstract

Background

The current standard practice of lung lesion diagnosis often leads to inconclusive results, requiring additional diagnostic follow up procedures that are invasive and often unnecessary due to the high benign rate in such lesions (Chest 143:e78S-e92, 2013). The Percepta bronchial genomic classifier was developed and clinically validated to provide more accurate classification of lung nodules and lesions that are inconclusive by bronchoscopy, using bronchial brushing specimens (N Engl J Med 373:243–51, 2015, BMC Med Genomics 8:18, 2015). The analytical performance of the Percepta test is reported here.

Methods

Analytical performance studies were designed to characterize the stability of RNA in bronchial brushing specimens during collection and shipment; analytical sensitivity defined as input RNA mass; analytical specificity (i.e. potentially interfering substances) as tested on blood and genomic DNA; and assay performance studies including intra-run, inter-run, and inter-laboratory reproducibility.

Results

RNA content within bronchial brushing specimens preserved in RNAprotect is stable for up to 20 days at 4 °C with no changes in RNA yield or integrity. Analytical sensitivity studies demonstrated tolerance to variation in RNA input (157 ng to 243 ng). Analytical specificity studies utilizing cancer positive and cancer negative samples mixed with either blood (up to 10 % input mass) or genomic DNA (up to 10 % input mass) demonstrated no assay interference. The test is reproducible from RNA extraction through to Percepta test result, including variation across operators, runs, reagent lots, and laboratories (standard deviation of 0.26 for scores on > 6 unit scale).

Conclusions

Analytical sensitivity, analytical specificity and robustness of the Percepta test were successfully verified, supporting its suitability for clinical use.
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Literature
2.
go back to reference Gould MK, Donington J, Lynch WR, Mazzone PJ, Midthun DE, Naidich DP, et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143 Suppl 5:e93S–120.PubMedCentralCrossRefPubMed Gould MK, Donington J, Lynch WR, Mazzone PJ, Midthun DE, Naidich DP, et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143 Suppl 5:e93S–120.PubMedCentralCrossRefPubMed
3.
go back to reference Ernst A, Silvestri G, Johnstone D. Interventional pulmonary procedures: guidelines from the American college of chest physicians. Chest. 2003;123:1693–717.CrossRefPubMed Ernst A, Silvestri G, Johnstone D. Interventional pulmonary procedures: guidelines from the American college of chest physicians. Chest. 2003;123:1693–717.CrossRefPubMed
4.
go back to reference Rivera MP, Mehta AC, Wahidi MM. Establishing the diagnosis of lung cancer: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143 Suppl 5:e142S–65.CrossRefPubMed Rivera MP, Mehta AC, Wahidi MM. Establishing the diagnosis of lung cancer: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143 Suppl 5:e142S–65.CrossRefPubMed
5.
go back to reference Spira A, Beane J, Shah V, Liu G, Schembri F, Yang X, et al. Effects of cigarette smoke on the human airway epithelial cell transcriptome. Proc Natl Acad Sci U S A. 2004;101(27):10143–8.PubMedCentralCrossRefPubMed Spira A, Beane J, Shah V, Liu G, Schembri F, Yang X, et al. Effects of cigarette smoke on the human airway epithelial cell transcriptome. Proc Natl Acad Sci U S A. 2004;101(27):10143–8.PubMedCentralCrossRefPubMed
6.
go back to reference Wistuba II, Mao L, Gazdar AF. Smoking molecular damage in bronchial epithelium. Oncogene. 2002;21(48):7298–306.CrossRefPubMed Wistuba II, Mao L, Gazdar AF. Smoking molecular damage in bronchial epithelium. Oncogene. 2002;21(48):7298–306.CrossRefPubMed
7.
go back to reference Beane J, Sebastiani P, Liu G, Brody JS, Lenburg ME, Spira A. Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression. Genome Biol. 2007;8(9):R201.PubMedCentralCrossRefPubMed Beane J, Sebastiani P, Liu G, Brody JS, Lenburg ME, Spira A. Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression. Genome Biol. 2007;8(9):R201.PubMedCentralCrossRefPubMed
8.
go back to reference Spira A, Beane JE, Shah V, Steiling K, Liu G, Schembri F, et al. Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer. Nat Med. 2007;13(3):361–6.CrossRefPubMed Spira A, Beane JE, Shah V, Steiling K, Liu G, Schembri F, et al. Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer. Nat Med. 2007;13(3):361–6.CrossRefPubMed
9.
go back to reference Silvestri GA, Vachani A, Whitney D, Elashoff M, Porta-Smith K, Ferguson JS, et al. A bronchial genomic classifier for the diagnostic evaluation of lung cancer. N Engl J Med. 2015;373(3):243–51.CrossRefPubMed Silvestri GA, Vachani A, Whitney D, Elashoff M, Porta-Smith K, Ferguson JS, et al. A bronchial genomic classifier for the diagnostic evaluation of lung cancer. N Engl J Med. 2015;373(3):243–51.CrossRefPubMed
10.
go back to reference Whitney DH, Elashoff MR, Porta-Smith K, Gower AC, Vachani A, Ferguson JS, et al. Derivation of a bronchial genomic classifier for lung cancer in a prospective study of patients undergoing diagnostic bronchoscopy. BMC Med Genomics. 2015;8:18.PubMedCentralCrossRefPubMed Whitney DH, Elashoff MR, Porta-Smith K, Gower AC, Vachani A, Ferguson JS, et al. Derivation of a bronchial genomic classifier for lung cancer in a prospective study of patients undergoing diagnostic bronchoscopy. BMC Med Genomics. 2015;8:18.PubMedCentralCrossRefPubMed
12.
go back to reference Detterbeck FC, Mazzone PJ, Naidich DP, Bach PB. Screening for lung cancer: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143 Suppl 5:e78S–92.PubMedCentralCrossRefPubMed Detterbeck FC, Mazzone PJ, Naidich DP, Bach PB. Screening for lung cancer: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143 Suppl 5:e78S–92.PubMedCentralCrossRefPubMed
13.
go back to reference Teutsch SM, Bradley LA, Palomaki GE, Haddow JE, Piper M, Calonge N, et al. The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group. Genet Med. 2009;11:3–14.PubMedCentralCrossRefPubMed Teutsch SM, Bradley LA, Palomaki GE, Haddow JE, Piper M, Calonge N, et al. The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group. Genet Med. 2009;11:3–14.PubMedCentralCrossRefPubMed
17.
go back to reference Dimech W, Bowden DS, Brestovac B, Byron K, James G, Jardine D, et al. Validation of assembled nucleic acid-based tests in diagnostic microbiology laboratories. Pathology. 2004;36:45–50.CrossRefPubMed Dimech W, Bowden DS, Brestovac B, Byron K, James G, Jardine D, et al. Validation of assembled nucleic acid-based tests in diagnostic microbiology laboratories. Pathology. 2004;36:45–50.CrossRefPubMed
18.
go back to reference Cronin M, Sangli C, Liu ML, Pho M, Dutta D, Nguyen A, et al. Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer. Clin Chem. 2007;53:1084–91.CrossRefPubMed Cronin M, Sangli C, Liu ML, Pho M, Dutta D, Nguyen A, et al. Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer. Clin Chem. 2007;53:1084–91.CrossRefPubMed
Metadata
Title
Analytical performance of a bronchial genomic classifier
Authors
Zhanzhi Hu
Duncan Whitney
Jessica R. Anderson
Manqiu Cao
Christine Ho
Yoonha Choi
Jing Huang
Robert Frink
Kate Porta Smith
Robert Monroe
Giulia C. Kennedy
P. Sean Walsh
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2016
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-016-2153-0

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