Evidence map›Paper›PMID 36599742›Full record

Trial reportClinical lung cancer2023

The Performance of an Extended Next Generation Sequencing Panel Using Endobronchial Ultrasound-Guided Fine Needle Aspiration Samples in Non-Squamous Non-Small Cell Lung Cancer: A Pragmatic Study.

Chenchen Zhang, Roger Y Kim, Cindy M McGrath, Michelle Andronov, Andrew R Haas, Kevin C Ma, Anthony R Lanfranco, Christoph T Hutchinson, Jennifer J D Morrissette, David M DiBardino

Open access · greenAbstract readPragmatic Clinical Trial
In one paragraph

Trial report in Clinical lung cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Chenchen ZhangDivision of Thoracic Surgery & Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA. Electronic address: czhang13@bidmc.harvard.edu.
Roger Y KimDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Cindy M McGrathDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Michelle AndronovDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Andrew R HaasDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Kevin C MaDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Anthony R LanfrancoDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Christoph T HutchinsonDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Jennifer J D MorrissetteDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
David M DiBardinoDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
University of Pennsylvania · USBeth Israel Deaconess Medical Center · US

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
NHLBI NIH HHS T32 HL007891
6 · The paper itself

Abstract

INTRODUCTION/

backgroundSamples from endobronchial ultrasound-guided fine needle aspiration (EBUS-TBNA) are frequently used for next generation sequencing (NGS) in patients with non-small cell lung cancer (NSCLC) to look for genetic driver mutations. The objective of the current study was to evaluate the performance of extended NGS panels using EBUS-TBNA samples in a real-world setting and identify factors associated with the success of NGS. MATERIALS AND

methodsThis study included all patients who underwent EBUS and were diagnosed with non-squamous NSCLC with mediastinal metastasis from 2016 to 2019 at the University of Pennsylvania. We reviewed demographic information, imaging studies, procedure reports, pathology and NGS reports. Logistic regression was used to analyze factors associated with the success of NGS panels.

resultsThe success rates of NGS using EBUS-TBNA samples were 92.5%, and 91.5% for DNA and RNA NGS panels respectively. Samples from higher N stage (N2 and N3 lymph nodes) and with higher tumor cellularity (>25%) resulted in higher success rate for DNA NGS. The effect of tumor cellularity remained borderline significant after entering multivariable logistic regression. The short-axis diameter of the sampled lymph node on CT scan, FDG-avidity on PET CT and >3 EBUS passes per lymph node during the procedure were not associated with NGS success.

conclusionBoth DNA and RNA extended-panel NGS had high performance using EBUS-TBNA samples. Sampling more advanced nodal stations and obtaining samples with higher tumor cellularity were associated with higher success rate of DNA NGS. Other imaging or procedural factors did not affect NGS performance.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBronchoscopyEndoscopic Ultrasound-Guided Fine Needle AspirationHigh-Throughput Nucleotide SequencingHumansLymph NodesNeoplasm StagingRetrospective StudiesBronchoscopy procedureCytology samplesImaging characteristicsMolecular analysisSuccess rate

Identifiers

PMID36599742
PMCPMC10664188
OpenAlexW4310732380

What OpenQuestion holds

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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.