Evidence map›Paper›PMID 23178314›Full record

ArticleGynecologic oncology2013

Gene expression signatures differentiate uterine endometrial stromal sarcoma from leiomyosarcoma.

Ben Davidson, Vera Maria Abeler, Ellen Hellesylt, Arild Holth, Ie-Ming Shih, Tone Skeie-Jensen, Li Chen, Yanqin Yang, Tian-Li Wang

Abstract read
In one paragraph

Article in Gynecologic oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 40 citations in OpenAlex.

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  13. Neuron navigator-2 and cyclin D2 are new candidate prognostic markers in uterine sarcoma.Virchows Archiv : an international journal of pathology · 2017
    Article
  14. Article
  15. Article
  16. Rab23 activities and human cancer-emerging connections and mechanisms.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  17. Article
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  20. Malignant tumors of the uterine corpus: molecular background of their origin.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Review
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

9 authors at 3 institutions in 2 countries.

Ben DavidsonDepartment of Pathology, Norwegian Radium Hospital, Oslo University Hospital, N-0424 Oslo, Norway. bend@medisin.uio.no
Vera Maria Abeler
Ellen Hellesylt
Arild Holth
Ie-Ming Shih
Tone Skeie-Jensen
Li Chen
Yanqin Yang
Tian-Li Wang
Oslo University Hospital · NOJohns Hopkins University · USNational Institutes of Health · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
DNA Sequencing Core (DSC)ZICHL006058 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHU, JUN · 2010 to 2016
$16.6M
Characterizing Notch3 Signaling in Ovarian CancerR01CA148826 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TIAN-LI · 2011 to 2015
$1.7M
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA148826
6 · The paper itself

Abstract

objectiveEndometrial stromal sarcoma (ESS) and leiomyosarcoma (LMS) are the two most common uterine sarcomas, but both are rare tumors. The aim of the present study was to compare the global gene expression patterns of ESS and LMS.

methodsGene expression profiles of 7 ESS and 13 LMS were analyzed using the HumanRef-8 BeadChip from Illumina. Differentially expressed candidate genes were validated using quantitative real-time PCR and immunohistochemistry.

resultsUnsupervised hierarchical clustering using all 54,675 genes in the array separated ESS from LMS samples. We identified 549 unique probes that were significantly differentially expressed in the two malignancies by greater than 2-fold with 1% FDR cutoff using one-way ANOVA with Benjamini-Hochberg correction, of which 336 and 213 were overexpressed in ESS and LMS, respectively. Genes overexpressed in ESS included SLC7A10, EFNB3, CCND2, ECEL1, ITM2A, NPW, PLAG1 and GCGR. Genes overexpressed in LMS included CDKN2A, FABP3, TAGLN, JPH2, GEM, NAV2 and RAB23. The top 100 genes overexpressed in LMS included those coding for myosin light chain and caldesmon, but not the genes coding for desmin or actin. CD10 was not overexpressed in ESS. Results for selected genes were validated by quantitative real-time PCR and immunohistochemistry.

conclusionsWe present the first study in which gene expression profiling was shown to distinguish between ESS and LMS. The molecular signatures unique to each of these malignancies may aid in expanding the diagnostic battery for their differentiation, and may provide a molecular basis for prognostic studies and therapeutic target discovery.

Indexed as

Endometrial NeoplasmsEndometrial Stromal TumorsFemaleGene Expression ProfilingHumansImmunohistochemistryLeiomyosarcomaOligonucleotide Array Sequence AnalysisReal-Time Polymerase Chain Reaction

Identifiers

PMID23178314
PMCPMC4051229
OpenAlexW1999182288

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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.