Literature DB >> 32758562

Impact of the Percepta Genomic Classifier on Clinical Management Decisions in a Multicenter Prospective Study.

Hans J Lee1, Peter Mazzone2, David Feller-Kopman3, Lonny Yarmus3, Kyle Hogarth4, Lori R Lofaro5, Bailey Griscom5, Marla Johnson5, Yoonha Choi5, Jing Huang5, Sangeeta Bhorade5, Avrum Spira6, Giulia C Kennedy5, Momen M Wahidi7.   

Abstract

BACKGROUND: The Percepta genomic classifier has been clinically validated as a complement to bronchoscopy for lung nodule evaluation. RESEARCH QUESTION: The goal of this study was to examine the impact on clinical management decisions of the Percepta result in patients with low- and intermediate-risk lung nodules. STUDY DESIGN AND METHODS: A prospective "real world" registry was instituted across 35 US centers to observe physician management of pulmonary nodules following a nondiagnostic bronchoscopy. To assess the impact on management decisions of the Percepta genomic classifier, a subset of patients was analyzed who had an inconclusive bronchoscopy for a pulmonary nodule, a Percepta result, and an adjudicated lung diagnosis with at least 1 year of follow-up. In this cohort, change in the decision to pursue additional invasive procedures following Percepta results was assessed.
RESULTS: A total of 283 patients met the study eligibility criteria. In patients with a low/intermediate risk of malignancy for whom the clinician had designated a plan for a subsequent invasive procedure, a negative Percepta result down-classified the risk of malignancy in 34.3% of cases. Of these down-classified patients, 73.9% had a change in their management plan from an invasive procedure to surveillance, and the majority avoided a procedure up to 12 months following the initial evaluation. In patients with confirmed lung cancers, the time to diagnosis was not significantly delayed when comparing Percepta down-classified patients vs patients who were not down-classified (P = .58).
INTERPRETATION: The down-classification of nodule malignancy risk with the Percepta test decreased additional invasive procedures without a delay in time to diagnosis among those with lung cancer.
Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Percepta; bronchoscopy; lung cancer; pulmonary nodule

Year:  2020        PMID: 32758562     DOI: 10.1016/j.chest.2020.07.067

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  3 in total

1.  Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodules.

Authors:  Marla K Johnson; Shuyang Wu; Daniel G Pankratz; Grazyna Fedorowicz; Jessica Anderson; Jie Ding; Mei Wong; Manqiu Cao; Joshua Babiarz; Lori Lofaro; P Sean Walsh; Giulia C Kennedy; Jing Huang
Journal:  BMC Cancer       Date:  2021-04-13       Impact factor: 4.430

2.  Percepta Genomic Sequencing Classifier and decision-making in patients with high-risk lung nodules: a decision impact study.

Authors:  Sonali Sethi; Scott Oh; Alexander Chen; Christina Bellinger; Lori Lofaro; Marla Johnson; Jing Huang; Sangeeta Maruti Bhorade; William Bulman; Giulia C Kennedy
Journal:  BMC Pulm Med       Date:  2022-01-06       Impact factor: 3.317

3.  Clinical validation and utility of Percepta GSC for the evaluation of lung cancer.

Authors:  Peter Mazzone; Travis Dotson; Momen M Wahidi; Michael Bernstein; Hans J Lee; David Feller Kopman; Lonny Yarmus; Duncan Whitney; Christopher Stevenson; Jianghan Qu; Marla Johnson; P Sean Walsh; Jing Huang; Lori R Lofaro; Sangeeta M Bhorade; Giulia C Kennedy; Avrum Spira; M Patricia Rivera
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

  3 in total

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