Evidence map›Paper›PMID 28380437›Full record

ArticleOncotarget2017

NELL1, whose high expression correlates with negative outcomes, has different methylation patterns in alveolar and embryonal rhabdomyosarcoma.

Lucia Tombolan, Elena Poli, Paolo Martini, Angelica Zin, Chiara Romualdi, Gianni Bisogno, Gerolamo Lanfranchi

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
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  4. Isolation of NELL 1 Aptamers for Rhabdomyosarcoma Targeting.Bioengineering (Basel, Switzerland) · 2022
    Article
  5. Review
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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

7 authors at 2 institutions in 1 country.

Lucia TombolanDepartment of Biology, University of Padova, Padova, Italy.
Elena PoliDepartment of Women's and Children's Health, Oncology Hematology Division, University of Padova, Padova, Italy.
Paolo MartiniDepartment of Biology, University of Padova, Padova, Italy.
Angelica ZinInstitute of Pediatric Research, Padova, Italy.
Chiara RomualdiDepartment of Biology, University of Padova, Padova, Italy.
Gianni BisognoDepartment of Women's and Children's Health, Oncology Hematology Division, University of Padova, Padova, Italy.
Gerolamo LanfranchiDepartment of Biology, University of Padova, Padova, Italy.
University of Padua · ITCittà della Speranza Foundation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhabdomyosarcoma (RMS), which represents the most frequent soft tissue sarcoma in pediatric populations, is classified into two major subtypes: embryonal RMS (ERMS) and alveolar RMS (ARMS). ARMS subtype, which shows greater aggressiveness and proneness to metastasis with respect to ERMS, are characterized, in about 75% of cases, by specific chromosomal translocations that involve PAX and FOXO1 genes. Many findings have demonstrated that PAX/FOXO1-positive ARMS have a worse prognosis than PAX/FOXO1-negative ones and that distinct molecular features characterize RMS with different gene fusion statuses. DNA methylation, which presently represents a challenging research area, is involved in the modulation of gene expression.We performed a genome-wide DNA methylation analysis using reduced-representation bisulfite sequencing (RRBS) in RMS samples and we found that fusion-positive alveolar and embryonal subgroups have different DNA methylation signatures and that ARMS fusion-positive subtypes are characterized by overall hypomethylation levels. While NELL1 was found to be hypomethylated and transcriptionally enhanced in RMS alveolar subtypes, high NELL1 expression levels, which proved to be correlated with negative RMS prognostic factors such as fusion status and histology (P < 0.0001), were found to discriminate between RMS patients with different outcomes (P < 0.05).In conclusion, our results demonstrated that different DNA methylation patterns distinguish between different RMS subgroups and they suggest that epigenetic signatures could be useful for risk stratification of patients.

Indexed as

DNA MethylationUp-RegulationCalcium-Binding ProteinsCell Line, TumorChildChild, PreschoolEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansMaleNerve Tissue ProteinsOncogene Proteins, FusionPrognosisRhabdomyosarcoma, AlveolarRhabdomyosarcoma, EmbryonalCalcium-Binding ProteinsNELL1 protein, humanNerve Tissue ProteinsOncogene Proteins, FusionDNA methylationNELL1rhabdomyosarcomaRRBSsequencing

Identifiers

PMID28380437
PMCPMC5464852
OpenAlexW2597994684

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Registered trials

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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.