Evidence map›Paper›PMID 35454937›Full record

ArticleCancers2022

Application of an Ultrasensitive NGS-Based Blood Test for the Diagnosis of Early-Stage Lung Cancer: Sensitivity, a Hurdle Still Difficult to Overcome.

Malaïka Van der Linden, Bram Van Gaever, Lennart Raman, Karim Vermaelen, Ingel Demedts, Veerle Surmont, Ulrike Himpe, Yolande Lievens, Liesbeth Ferdinande, Franceska Dedeurwaerdere and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 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
0.5field-weighted citation impact, top 44% 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, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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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

14 authors at 3 institutions in 1 country.

Malaïka Van der LindenDepartment of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.
Bram Van GaeverDepartment of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.
Lennart RamanDepartment of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.
Karim VermaelenCancer Research Institute Ghent, 9000 Ghent, Belgium.ORCID 0000-0002-6787-8577
Ingel DemedtsDepartment of Pulmonary Medicine, AZ Delta, 8800 Roeselare, Belgium.
Veerle SurmontDepartment of Pulmonary Medicine, Ghent University Hospital, 9000 Ghent, Belgium.
Ulrike HimpeDepartment of Pulmonary Medicine, AZ Delta, 8800 Roeselare, Belgium.
Yolande LievensCancer Research Institute Ghent, 9000 Ghent, Belgium.
Liesbeth FerdinandeDepartment of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.
Franceska DedeurwaerdereDepartment of Pathology, AZ Delta, 8800 Roeselare, Belgium.ORCID 0000-0003-4608-1101
Joni Van der MeulenCancer Research Institute Ghent, 9000 Ghent, Belgium.
Kathleen ClaesCancer Research Institute Ghent, 9000 Ghent, Belgium.ORCID 0000-0003-0841-7372
Björn MentenCenter for Medical Genetics, Ghent University Hospital, 9000 Ghent, Belgium.
Jo Van DorpeDepartment of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0001-8175-2930
Ghent University Hospital · BEAZ Delta · BEGhent University · BE

Funding

Bijzonder Onderzoeksfonds (BE), Ghent University BOF.STA.2017.0002.01
6 · The paper itself

Abstract

Diagnosis of lung cancer requires histological examination of a tissue sample, which in turn requires an invasive procedure that cannot always be obtained. Circulating tumor DNA can be reliably detected in blood samples of advanced-stage lung cancer patients and might also be a minimally invasive alternative for early-stage lung cancer detection. We wanted to explore the potential of targeted deep sequencing as a test for the diagnosis of early-stage lung cancer in combination with imaging. Mutation detection on cell-free DNA from pretreatment plasma samples of 51 patients with operable non-small cell lung cancer was performed and results were compared with 12 control patients undergoing surgery for a non-malignant lung lesion. By using a variant allele frequency threshold of 1%, somatic variants were detected in 23.5% of patients with a median variant allele fraction of 3.65%. By using this threshold, we could almost perfectly discriminate early-stage lung cancer patients from controls. Our study results are discussed in the light of those from other studies. Notwithstanding the potential of today's techniques for the use of liquid biopsy-based cell-free DNA analysis, sensitivity of this application for early-stage lung cancer detection is currently limited by a biological background of somatic variants with low variant allele fraction.

Indexed as

cancer detectioncell-free DNAcirculating tumor DNAearly-stage non-small cell lung cancerliquid biopsynext-generation sequencingsomatic mutations

Identifiers

PMID35454937
PMCPMC9026713
OpenAlexW4224234042

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.