Evidence map›Paper›PMID 34166445›Full record

ArticlePloS one2021

A new sensitive and fast assay for the detection of EGFR mutations in liquid biopsies.

Steffen Grann Jensen, Samantha Epistolio, Cesilie Lind Madsen, Majbritt Hauge Kyneb, Alice Riva, Alessia Paganotti, Jessica Barizzi, Rasmus Koefoed Petersen, Michael Børgesen, Francesca Molinari and 6 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Integrating ctDNA testing forAdvances in laboratory medicine · 2025
    Review
  2. Advances in laboratory medicine · 2025
    Article
  3. Review
  4. Liquid Biopsy in the Clinical Management of Cancers.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Review
  7. Circulating Tumor DNA in Pediatric Cancer.Frontiers in molecular biosciences · 2022
    Review
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

16 authors.

Steffen Grann JensenDepartment of Pathology, Herlev-Gentofte University Hospital, Herlev, Denmark.ORCID 0000-0001-9017-727X
Samantha EpistolioInstitute of Pathology, Locarno, Switzerland.
Cesilie Lind MadsenPentaBase Aps, Odense, Denmark.
Majbritt Hauge KynebLife Science Division, Danish Technological Institute, Aarhus, Denmark.
Alice RivaInstitute of Pathology, Locarno, Switzerland.
Alessia PaganottiDepartment of Pathology, 'Maggiore della Carità' Hospital, Novara, Italy.
Jessica BarizziInstitute of Pathology, Locarno, Switzerland.
Rasmus Koefoed PetersenPentaBase Aps, Odense, Denmark.
Michael BørgesenPentaBase Aps, Odense, Denmark.
Francesca MolinariInstitute of Pathology, Locarno, Switzerland.
Renzo BoldoriniDepartment of Pathology, 'Maggiore della Carità' Hospital, Novara, Italy.
Jan LorenzenLife Science Division, Danish Technological Institute, Aarhus, Denmark.
Erik SørensenDepartment of Clinical Immunology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Ulf Bech ChristensenPentaBase Aps, Odense, Denmark.
Estrid HøgdallDepartment of Pathology, Herlev-Gentofte University Hospital, Herlev, Denmark.
Milo FrattiniInstitute of Pathology, Locarno, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA major perspective for the use of circulating tumor DNA (ctDNA) in the clinical setting of non-small cell lung cancer (NSCLC) is expected as predictive factor for resistance and response to EGFR TKI therapy and, especially, as a non-invasive alternative to tissue biopsy. However, ctDNA is both highly fragmented and mostly low concentrated in plasma and serum. On this basis, it is important to use a platform characterized by high sensitivity and linear performance in the low concentration range. This motivated us to evaluate the newly developed and commercially available SensiScreen® EGFR Liquid assay platform (PentaBase) with regard to sensitivity, linearity, repeatability and accuracy and finally to compare it to our already implemented methods. The validation was made in three independent European laboratories using two cohorts on a total of 68 unique liquid biopsies.

resultsUsing artificial samples containing 1600 copies of WT DNA spiked with 50% - 0.1% of mutant copies across a seven-log dilution scale, we assessed the sensitivity, linearity, repeatability and accuracy for the p.T790M, p.L858R and exon 19 deletion assays of the SensiScreen® EGFR Liquid assay platform. The lowest value detectable ranged from 0.5% to 0.1% with R2≥0,97 indicating good linearity. High PCR efficiency was shown for all three assays. In 102 single PCRs each containing theoretical one copy of the mutant at initiating, assays showed repeatable positivity in 75.5% - 80.4% of reactions. At low ctDNA levels, as in plasma, the SensiScreen® EGFR Liquid assay platform showed better sensitivity than the Therascreen® EGFR platform (Qiagen) and equal performance to the ctEGFR Mutation Detection Kit (EntroGen) and the IOT® Oncomine cell-free nucleic acids assay (Thermo Fisher Scientific) with 100% concordance at the sequence level.

conclusionFor profiling clinical plasma samples, characterized by low ctDNA abundance, the SensiScreen® EGFR Liquid assay is able to identify down to 1 copy of mutant alleles and with its high sensitivity, linearity and accuracy it may be a competitive platform of choice.

Indexed as

MutationAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCell Line, TumorCirculating Tumor DNADNA Mutational AnalysisErbB ReceptorsFemaleHumansLiquid BiopsyLung NeoplasmsMaleMiddle AgedNeoplasm ProteinsCirculating Tumor DNAEGFR protein, humanErbB ReceptorsNeoplasm Proteins

Identifiers

PMID34166445
PMCPMC8224962

What OpenQuestion holds

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Registered trials

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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.