Evidence map›Paper›PMID 34819052›Full record

ArticleRespiratory research2021

Mutational signature analysis in non-small cell lung cancer patients with a high tumor mutational burden.

Guus R M van den Heuvel, Leonie I Kroeze, Marjolijn J L Ligtenberg, Katrien Grünberg, Erik A M Jansen, Daniel von Rhein, Richarda M de Voer, Michel M van den Heuvel

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  11. Insight into NSCLC through novel analysis of gene interactions and characteristics.American journal of clinical and experimental immunology · 2024
    Article
  12. Review
  13. Tumor Mutation Signature Reveals the Risk Factors of Lung Adenocarcinoma withCancer control : journal of the Moffitt Cancer Center
    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

8 authors at 1 institution in 1 country.

Guus R M van den HeuvelDepartment of Pulmonology, Radboud University Medical Center, Postbox 9101, 6500 HB, Nijmegen, The Netherlands.
Leonie I KroezeDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Marjolijn J L LigtenbergDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Katrien GrünbergDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Erik A M JansenDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
Daniel von RheinDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
Richarda M de Voer *Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands. richarda.devoer@radboudumc.nl.ORCID http://orcid.org/0000-0002-5000-3213
Michel M van den Heuvel *Department of Pulmonology, Radboud University Medical Center, Postbox 9101, 6500 HB, Nijmegen, The Netherlands. michel.vandenheuvel@radboudumc.nl.
Radboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer death worldwide. With the growing number of targeted therapies and the introduction of immuno-oncology (IO), personalized medicine has become standard of care in patients with metastatic disease. The development of predictive and prognostic biomarkers is of great importance. Mutational signatures harbor potential clinical value as predictors of therapy response in cancer. Here we set out to investigate particular mutational processes by assessing mutational signatures and associations with clinical features, tumor mutational burden (TMB) and targetable mutations.

methodsIn this retrospective study, we studied tumor DNA from patients with non-small cell lung cancer (NSCLC) irrespective of stage. The samples were sequenced using a 2 megabase (Mb) gene panel. On each sample TMB was determined and defined as the total number of single nucleotide mutations per Mb (mut/Mb) including non-synonymous mutations. Mutational signature profiling was performed on tumor samples in which at least 30 somatic single base substitutions (SBS) were detected.

resultsIn total 195 samples were sequenced. Median total TMB was 10.3 mut/Mb (range 0-109.3). Mutational signatures were evaluated in 76 tumor samples (39%; median TMB 15.2 mut/Mb). SBS signature 4 (SBS4), associated with tobacco smoking, was prominently present in 25 of 76 samples (33%). SBS2 and/or SBS13, both associated with activity of the AID/APOBEC family of cytidine deaminases, were observed in 11 of 76 samples (14%). SBS4 was significantly more present in early stages (I and II) versus advanced stages (III and IV; P = .005).

conclusionIn a large proportion of NSCLC patients tissue panel sequencing with a 2 Mb panel can be used to determine the mutational signatures. In general, mutational signature SBS4 was more often found in early versus advanced stages of NSCLC. Further studies are needed to determine the clinical utility of mutational signature analyses.

Indexed as

MutationNeoplasm StagingAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisFemaleFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMiddle AgedMorbidityBiomarkers, TumorCancer geneticsMutational signaturesNext generation sequencingNon-small cell lung cancer

Identifiers

PMID34819052
PMCPMC8611965
OpenAlexW3214734494

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.