Evidence map›Paper›PMID 37858127›Full record

ArticleBMC research notes2023

Assessment of MYC and TERT copy number variations in lung cancer using digital PCR.

Alexander Brik, Katharina Wichert, Daniel G Weber, Katja Szafranski, Peter Rozynek, Swetlana Meier, Yon-Dschun Ko, Reinhard Büttner, Klaus Gerwert, Thomas Behrens and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

12 authors at 4 institutions in 1 country.

Alexander BrikInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany. alexander.brik@dguv.de.
Katharina WichertInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Daniel G WeberInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Katja SzafranskiInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Peter RozynekInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Swetlana MeierInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Yon-Dschun KoDepartment of Internal Medicine, Johanniter-Kliniken Bonn GmbH, Bonn, Germany.
Reinhard BüttnerInstitute of Pathology, Medical Faculty and Center for Molecular Medicine (CMMC), University of Cologne, Cologne, Germany.
Klaus GerwertCenter for Protein Diagnostics (PRODI), Department of Biophysics, Ruhr University Bochum, Bochum, Germany.
Thomas BehrensInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Thomas BrüningInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Georg JohnenInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance - Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Institute for Prevention and Occupational Medicine · DEJohanniter-Krankenhaus Bonn · DERuhr University Bochum · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLung cancer is the second most frequent cancer type and the most common cause of cancer-related deaths worldwide. Alteration of gene copy numbers are associated with lung cancer and the determination of copy number variations (CNV) is appropriate for the discrimination between tumor and non-tumor tissue in lung cancer. As telomerase reverse transcriptase (TERT) and v-myc avian myelocytomatosis viral oncogene homolog (MYC) play a role in lung cancer the aims of this study were the verification of our recent results analyzing MYC CNV in tumor and non-tumor tissue of lung cancer patients using an independent study group and the assessment of TERT CNV as an additional marker.

resultsTERT and MYC status was analyzed using digital PCR (dPCR) in tumor and adjacent non-tumor tissue samples of 114 lung cancer patients. The difference between tumor and non-tumor samples were statistically significant (p < 0.0001) for TERT and MYC. Using a predefined specificity of 99% a sensitivity of 41% and 51% was observed for TERT and MYC, respectively. For the combination of TERT and MYC the overall sensitivity increased to 60% at 99% specificity. We demonstrated that a combination of markers increases the performance in comparison to individual markers. Additionally, the determination of CNV using dPCR might be an appropriate tool in precision medicine.

Indexed as

Lung NeoplasmsTelomeraseDNA Copy Number VariationsGene DosageHumansPolymerase Chain ReactionProto-Oncogene Proteins c-mycMYC protein, humanProto-Oncogene Proteins c-mycTelomeraseTERT protein, humanCopy number variationsDiagnosisDigital polymerase chain reactionFrozen tissueMarker combinationNon-small cell lung cancer

Identifiers

PMID37858127
PMCPMC10585721
OpenAlexW4387766011

What OpenQuestion holds

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LicenceCC BY
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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.