Evidence map›Paper›PMID 24007313›Full record

ArticleBMC medical genomics2013

Whole transcriptome sequencing identifies tumor-specific mutations in human oral squamous cell carcinoma.

Qu Zhang, Jun Zhang, Hong Jin, Sitong Sheng

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

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  15. Overexpression ofJournal of Cancer · 2019
    Article
  16. Review
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  18. Contribution of LATS1 and LATS2 promoter methylation in OSCC development.Journal of cell communication and signaling · 2017
    Article
  19. Cell death discovery · 2017
    Article
  20. 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

4 authors at 3 institutions in 2 countries.

Qu ZhangDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. quzhang@post.harvard.edu.
Jun Zhang
Hong Jin
Sitong Sheng
Shanghai Industrial Technology Institute · CNHarvard University · USShanghai Institute of Hematology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accumulation of somatic mutations in genes and molecular pathways is a major factor in the evolution of oral squamous cell carcinoma (OSCC), which sparks studies to identify somatic mutations with clinical potentials. Recently, massively parallel sequencing technique has started to revolutionize biomedical studies, due to the rapid increase in its throughput and drop in cost. Hence sequencing of whole transcriptome (RNA-Seq) becomes a superior approach in cancer studies, which enables the detection of somatic mutations and accurate measurement of gene expression simultaneously.

methodsWe used RNA-Seq data from tumor and matched normal samples to investigate somatic mutation spectrum in OSCC.

resultsBy applying a sophisticated bioinformatic pipeline, we interrogated two tumor samples and their matched normal tissues and identified 70,472 tumor somatic mutations in protein-coding regions. We further identified 515 significantly mutated genes (SMGs) and 156 tumor-specific disruptive genes (TDGs), with six genes in both sets, including ANKRA2, GTF2H5, STOML1, NUP37, PPP1R26, and TAF1L. Pathway analysis suggested that SMGs were enriched in cell adhesion pathways, which are frequently indicated in tumor development. We also found that SMGs tend to be differentially expressed between tumors and normal tissues, implying a regulatory role of accumulation of genetic aberrations in these genes.

conclusionsOur finding of known tumor genes proves of the utility of RNA-Seq in mutation screening, and functional analysis of genes detected here would help understand the molecular mechanism of OSCC.

Indexed as

DNA Mutational AnalysisHigh-Throughput Nucleotide SequencingSequence Analysis, RNATranscriptomeCarcinoma, Squamous CellGene OntologyGenes, NeoplasmHumansMouth NeoplasmsMutation

Identifiers

PMID24007313
PMCPMC3844419
OpenAlexW2168597499

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.