Evidence map›Paper›PMID 24752137›Full record

ArticleScientific reports2014

Mutated tumor alleles are expressed according to their DNA frequency.

John C Castle, Martin Loewer, Sebastian Boegel, Arbel D Tadmor, Valesca Boisguerin, Jos de Graaf, Claudia Paret, Mustafa Diken, Sebastian Kreiter, Özlem Türeci and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

24 citing papers in PubMed, 48 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

John C CastleTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Martin LoewerTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Sebastian Boegel1] TRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany [2] University Medical Center of the Johannes Gutenberg-University Mainz, 55131, Mainz, Germany.
Arbel D TadmorTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Valesca Boisguerin1] TRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany [2] BioNTech AG, Kupferbergterrasse 17-19, 55131 Mainz, Germany.
Jos de GraafTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Claudia ParetTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Mustafa DikenTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Sebastian KreiterTRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany.
Özlem TüreciUniversity Medical Center of the Johannes Gutenberg-University Mainz, 55131, Mainz, Germany.
Ugur Sahin1] TRON gGmbH - Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr. 1, Building 708, 55131 Mainz, Germany [2] University Medical Center of the Johannes Gutenberg-University Mainz, 55131, Mainz, Germany [3] BioNTech AG, Kupferbergterrasse 17-19, 55131 Mainz, Germany.
Johannes Gutenberg University Mainz · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcription of tumor mutations from DNA into RNA has implications for biology, epigenetics and clinical practice. It is not clear if mutations are in general transcribed and, if so, at what proportion to the wild-type allele. Here, we examined the correlation between DNA mutation allele frequency and RNA mutation allele frequency. We sequenced the exome and transcriptome of tumor cell lines with large copy number variations, identified heterozygous single nucleotide mutations and absolute DNA copy number, and determined the corresponding DNA and RNA mutation allele fraction. We found that 99% of the DNA mutations in expressed genes are expressed as RNA. Moreover, we found a high correlation between the DNA and RNA mutation allele frequency. Exceptions are mutations that cause premature termination codons and therefore activate nonsense-mediated decay. Beyond this, we did not find evidence of any wide-scale mechanism, such as allele-specific epigenetic silencing, preferentially promoting mutated or wild-type alleles. In conclusion, our data strongly suggest that genes are equally transcribed from all alleles, mutated and wild-type, and thus transcribed in proportion to their DNA allele frequency.

Indexed as

AllelesGene FrequencyMutationAnimalsCell Line, TumorDNA Copy Number VariationsHigh-Throughput Nucleotide SequencingMiceNeoplasms

Identifiers

PMID24752137
PMCPMC3994436
OpenAlexW1969760553

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.