Evidence map›Paper›PMID 35830375›Full record

ArticlePloS one2022

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

Peter Mazzone, Travis Dotson, Momen M Wahidi, Michael Bernstein, Hans J Lee, David Feller Kopman, Lonny Yarmus, Duncan Whitney, Christopher Stevenson, Jianghan Qu and 10 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 10 institutions in 2 countries.

Peter MazzoneDepartment of Pulmonary Medicine, Cleveland Clinic, Respiratory Institute, Cleveland, OH, United States of America.ORCID 0000-0003-2121-0595
Travis DotsonDivision of Pulmonary and Critical Care, Wake Forest Baptist Health, Winston-Salem, NC, United States of America.ORCID 0000-0002-5093-734X
Momen M WahidiDivision of Pulmonary, Allergy & Critical Care Medicine, Duke University Medical Center, Durham, NC, United States of America.
Michael BernsteinStamford Health Medical Group, Pulmonary, Stamford Hospital, Stamford, CT, United States of America.
Hans J LeeDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
David Feller KopmanDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Lonny YarmusDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Duncan WhitneyHead of Early Detection Lung Cancer Initiative, Johnson & Johnson, Boston, MA, United States of America.
Christopher StevensonHead of Pharmaceutical Sciences, Lung Cancer Initiative, Johnson & Johnson, London, United Kingdom.
Jianghan QuResearch and Development, Veracyte, Inc, San Francisco, CA, United States of America.
Marla JohnsonResearch and Development, Veracyte, Inc, San Francisco, CA, United States of America.
P Sean WalshResearch and Development, Veracyte, Inc, San Francisco, CA, United States of America.
Jing HuangResearch and Development, Veracyte, Inc, San Francisco, CA, United States of America.
Lori R LofaroClinical Operations, Veracyte, Inc, San Francisco, CA, United States of America.ORCID 0000-0002-1068-8385
Sangeeta M BhoradeMedical Affairs, Veracyte, Inc, San Francisco, CA, United States of America.ORCID 0000-0002-8396-6884
Giulia C KennedyResearch and Development, Clinical Operations, Medical Affairs, Veracyte, Inc, South San Francisco, CA, United States of America.
Avrum SpiraDivision of Pulmonary and Critical Care Medicine, Boston University Medical Center, Boston, MA, United States of America.
M Patricia RiveraDivision of Pulmonary and Critical Care Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.ORCID 0000-0003-3827-5010
AEGIS Study Team
Percepta Registry Investigators
Veracyte (United States) · USJohns Hopkins University · USAtrium Health Wake Forest Baptist · USBoston University · USCleveland Clinic · USDuke Medical Center · USJohnson & Johnson (United Kingdom) · GBJohnson & Johnson (United States) · USStamford Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Percepta Genomic Sequencing Classifier (GSC) was developed to up-classify as well as down-classify the risk of malignancy for lung lesions when bronchoscopy is non-diagnostic. We evaluated the performance of Percepta GSC in risk re-classification of indeterminate lung lesions. This multicenter study included individuals who currently or formerly smoked undergoing bronchoscopy for suspected lung cancer from the AEGIS I/ II cohorts and the Percepta Registry. The classifier was measured in normal-appearing bronchial epithelium from bronchial brushings. The sensitivity, specificity, and predictive values were calculated using predefined thresholds. The ability of the classifier to decrease unnecessary invasive procedures was estimated. A set of 412 patients were included in the validation (prevalence of malignancy was 39.6%). Overall, 29% of intermediate-risk lung lesions were down-classified to low-risk with a 91.0% negative predictive value (NPV) and 12.2% of intermediate-risk lesions were up-classified to high-risk with a 65.4% positive predictive value (PPV). In addition, 54.5% of low-risk lesions were down-classified to very low risk with >99% NPV and 27.3% of high-risk lesions were up-classified to very high risk with a 91.5% PPV. If the classifier results were used in nodule management, 50% of patients with benign lesions and 29% of patients with malignant lesions undergoing additional invasive procedures could have avoided these procedures. The Percepta GSC is highly accurate as both a rule-out and rule-in test. This high accuracy of risk re-classification may lead to improved management of lung lesions.

Indexed as

BronchoscopyLung NeoplasmsBiopsyChromosome MappingHumansRespiratory Mucosa

Identifiers

PMID35830375
PMCPMC9278743
OpenAlexW4285395489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.