Evidence map›Paper›PMID 37787775›Full record

ArticleDiscover oncology2023

Preliminary results from the EMoLung clinical study showing early lung cancer detection by the LC score.

Karla Rubio, Jason M Müller, Aditi Mehta, Iris Watermann, Till Olchers, Ina Koch, Sabine Wessels, Marc A Schneider, Tania Araujo-Ramos, Indrabahadur Singh and 11 more

Open access · goldAbstract read
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

21 authors at 9 institutions in 4 countries.

Karla Rubio *Université de Lorraine, CNRS, Laboratoire IMoPA, UMR 7365, 54000, Nancy, France.ORCID http://orcid.org/0000-0002-8337-3106
Jason M Müller *Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.
Aditi MehtaGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Iris WatermannGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Till OlchersGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Ina KochGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Sabine WesselsGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Marc A SchneiderGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.ORCID http://orcid.org/0000-0001-8269-3821
Tania Araujo-RamosGerman Cancer Research Center (DKFZ) Heidelberg, Division Chronic Inflammation and Cancer, Emmy Noether Research Group Epigenetic Machineries and Cancer, 69120, Heidelberg, Germany.
Indrabahadur SinghGerman Cancer Research Center (DKFZ) Heidelberg, Division Chronic Inflammation and Cancer, Emmy Noether Research Group Epigenetic Machineries and Cancer, 69120, Heidelberg, Germany.
Christian KuglerGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Mircea Gabriel StoleriuGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.ORCID http://orcid.org/0000-0002-1288-809X
Mark KriegsmannGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Martin EichhornGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Thomas MuleyGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Olivia M MerkelGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.ORCID http://orcid.org/0000-0002-4151-3916
Thomas BraunUniversities of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany.ORCID http://orcid.org/0000-0002-6165-4804
Ole AmmerpohlGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Martin ReckGerman Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL), Gießen, Germany.
Achim TreschCologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany. achim.tresch@uni-koeln.de.ORCID http://orcid.org/0000-0002-4146-6371
Guillermo BarretoUniversité de Lorraine, CNRS, Laboratoire IMoPA, UMR 7365, 54000, Nancy, France. guillermo.barreto@univ-lorraine.fr.ORCID http://orcid.org/0000-0002-7777-4712
German Center for Lung Research · DEHeidelberg University · DEAsklepios Fachkliniken München-Gauting · DECentre National de la Recherche Scientifique · FRGerman Cancer Research Center · DEMax Planck Institute for Heart and Lung Research · DETH Köln - University of Applied Sciences · DEUniversität Ulm · DEUniversity of Cologne · DE

Funding

European Research Council ERC-2014-StG - 637830
6 · The paper itself

Abstract

backgroundLung cancer (LC) causes more deaths worldwide than any other cancer type. Despite advances in therapeutic strategies, the fatality rate of LC cases remains high (95%) since the majority of patients are diagnosed at late stages when patient prognosis is poor. Analysis of the International Association for the Study of Lung Cancer (IASLC) database indicates that early diagnosis is significantly associated with favorable outcome. However, since symptoms of LC at early stages are unspecific and resemble those of benign pathologies, current diagnostic approaches are mostly initiated at advanced LC stages.

methodsWe developed a LC diagnosis test based on the analysis of distinct RNA isoforms expressed from the GATA6 and NKX2-1 gene loci, which are detected in exhaled breath condensates (EBCs). Levels of these transcript isoforms in EBCs were combined to calculate a diagnostic score (the LC score). In the present study, we aimed to confirm the applicability of the LC score for the diagnosis of early stage LC under clinical settings. Thus, we evaluated EBCs from patients with early stage, resectable non-small cell lung cancer (NSCLC), who were prospectively enrolled in the EMoLung study at three sites in Germany.

resultsLC score-based classification of EBCs confirmed its performance under clinical conditions, achieving a sensitivity of 95.7%, 91.3% and 84.6% for LC detection at stages I, II and III, respectively.

conclusionsThe LC score is an accurate and non-invasive option for early LC diagnosis and a valuable complement to LC screening procedures based on computed tomography.

Indexed as

BiomarkerDiagnosticExhaled breath condensateGATA6Lung cancerNKX2-1

Identifiers

PMID37787775
PMCPMC10547665
OpenAlexW4387297112

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LicenceCC BY
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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.