Evidence map›Paper›PMID 21339757›Full record

ArticleLeukemia2011

Identification of recurring tumor-specific somatic mutations in acute myeloid leukemia by transcriptome sequencing.

P A Greif, S H Eck, N P Konstandin, A Benet-Pagès, B Ksienzyk, A Dufour, A T Vetter, H D Popp, B Lorenz-Depiereux, T Meitinger and 2 more

Abstract read
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In one paragraph

Article in Leukemia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 60 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

12 authors at 3 institutions in 1 country.

P A GreifHelmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany.
S H Eck
N P Konstandin
A Benet-Pagès
B Ksienzyk
A Dufour
A T Vetter
H D Popp
B Lorenz-Depiereux
T Meitinger
S K Bohlander
T M Strom
Helmholtz Zentrum München · DELudwig-Maximilians-Universität München · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic lesions are crucial for cancer initiation. Recently, whole genome sequencing, using next generation technology, was used as a systematic approach to identify mutations in genomes of various types of tumors including melanoma, lung and breast cancer, as well as acute myeloid leukemia (AML). Here, we identify tumor-specific somatic mutations by sequencing transcriptionally active genes. Mutations were detected by comparing the transcriptome sequence of an AML sample with the corresponding remission sample. Using this approach, we found five non-synonymous mutations specific to the tumor sample. They include a nonsense mutation affecting the RUNX1 gene, which is a known mutational target in AML, and a missense mutation in the putative tumor suppressor gene TLE4, which encodes a RUNX1 interacting protein. Another missense mutation was identified in SHKBP1, which acts downstream of FLT3, a receptor tyrosine kinase mutated in about 30% of AML cases. The frequency of mutations in TLE4 and SHKBP1 in 95 cytogenetically normal AML patients was 2%. Our study demonstrates that whole transcriptome sequencing leads to the rapid detection of recurring point mutations in the coding regions of genes relevant to malignant transformation.

Indexed as

High-Throughput Nucleotide SequencingAgedBiomarkers, TumorBone MarrowHumansLeukemia, Myeloid, AcuteMutationPolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSequence Analysis, RNABiomarkers, TumorRNA, Messenger

Identifiers

PMID21339757
OpenAlexW2064310798

What OpenQuestion holds

Textmetadata
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.