Evidence map›Paper›PMID 25496518›Full record

ArticleHuman genomics2014

Whole exome sequencing of a single osteosarcoma case--integrative analysis with whole transcriptome RNA-seq data.

Ene Reimann, Sulev Kõks, Xuan Dung Ho, Katre Maasalu, Aare Märtson

Open access · goldAbstract readCase Reports
In one paragraph

Article in Human genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

52 citing papers in PubMed, 74 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

5 authors at 2 institutions in 2 countries.

Ene ReimannDepartment of Pathophysiology, University of Tartu, 19 Ravila Street, Tartu, 50411, Estonia. ene.reimann@ut.ee.
Sulev KõksDepartment of Pathophysiology, University of Tartu, 19 Ravila Street, Tartu, 50411, Estonia. sulev.koks@ut.ee.
Xuan Dung HoDepartment of Traumatology and Orthopaedics, University of Tartu, 8 Puusepa Street, Tartu, Estonia. xuandung59@gmail.com.
Katre MaasaluDepartment of Traumatology and Orthopaedics, University of Tartu, 8 Puusepa Street, Tartu, Estonia. katre.maasalu@kliinikum.ee.
Aare MärtsonDepartment of Traumatology and Orthopaedics, University of Tartu, 8 Puusepa Street, Tartu, Estonia. aare.martson@kliinikum.ee.
Tartu University Hospital · EEEstonian University of Life Sciences · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma (OS) is a prevalent primary malignant bone tumour with unknown etiology. These highly metastasizing tumours are among the most frequent causes of cancer-related deaths. Thus, there is an urgent need for different markers, and with our study, we were aiming towards finding novel biomarkers for OS.

methodsFor that, we analysed the whole exome of the tumorous and non-tumour bone tissue from the same patient with OS applying next-generation sequencing. For data analysis, we used several softwares and combined the exome data with RNA-seq data from our previous study.

resultsIn the tumour exome, we found wide genomic rearrangements, which should qualify as chromotripsis-we detected almost 3,000 somatic single nucleotide variants (SNVs) and small indels and more than 2,000 copy number variants (CNVs) in different chromosomes. Furthermore, the somatic changes seem to be associated to bone tumours, whereas germline mutations to cancer in general. We confirmed the previous findings that the most significant pathway involved in OS pathogenesis is probably the WNT/β-catenin signalling pathway. Also, the IGF1/IGF2 and IGF1R homodimer signalling and TP53 (including downstream tumour suppressor gene EI24) pathways may have a role. Additionally, the mucin family genes, especially MUC4 and cell cycle controlling gene CDC27 may be considered as potential biomarkers for OS.

conclusionsThe genes, in which the mutations were detected, may be considered as targets for finding biomarkers for OS. As the study is based on a single case and only DNA and RNA analysis, further confirmative studies are required.

Indexed as

ExomeTranscriptomeAdolescentApc3 Subunit, Anaphase-Promoting Complex-CyclosomeApoptosis Regulatory Proteinsbeta CateninChromosomes, Human, Pair 19Chromosomes, Human, Pair 2Computational BiologyDNA Copy Number VariationsGene Expression Regulation, NeoplasticGenetic MarkersGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansInsulin-Like Growth Factor IApc3 Subunit, Anaphase-Promoting Complex-CyclosomeApoptosis Regulatory Proteinsbeta CateninCDC27 protein, humanEI24 protein, humanGenetic MarkersIGF1 protein, humanIGF1R protein, humanIGF2 protein, humanInsulin-Like Growth Factor IInsulin-Like Growth Factor IIMUC4 protein, humanMucin-4Nuclear ProteinsReceptor, IGF Type 1Receptors, SomatomedinTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID25496518
PMCPMC4272536
OpenAlexW2118167354

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.