Evidence map›Paper›PMID 31257484›Full record

ArticleMolecular medicine reports2019

Detecting the long non‑coding RNA signature related to spinal cord ependymal tumor subtype using a genome‑wide methylome analysis approach.

Li Wang, Chi Zhang, Yujie Xie, Wei Jiang, Juan Huang, Shengmin Guo, Fangyuan Xu, Jianxiong Wang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  3. 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

8 authors at 1 institution in 1 country.

Li WangRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Chi ZhangRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Yujie XieRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Wei JiangRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Juan HuangRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Shengmin GuoRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Fangyuan XuRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Jianxiong WangRehabilitation Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Affiliated Hospital of Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ependymoma is a type of intramedullary tumor that tends to occur in the adult spinal cord. Ependymoma affects the nervous system and has significant impacts on the quality of life, and it may lead to mortality. Previous studies have performed molecular classification of spinal cord ependymal tumors at the DNA methylation level. However, the DNA methylation status of non‑coding regions in spinal cord ependymal tumors remains unclear. In the present study, a genome‑wide methylome method was used to characterize the DNA methylation landscape of long non‑coding RNAs (lncRNAs) in spinal cord ependymal tumor samples. The present study identified lncRNA signatures associated with tumor subtypes based on the methylation status of lncRNA promoters. The present results suggested that the identified lncRNA signatures were associated with cancer‑ or nervous system‑related protein‑coding genes. The majority of the identified lncRNAs was hypomethylated, and may have a role in spinal cord development. The present findings suggested that detection of tumor subtype‑specific lncRNAs may facilitate the identification of novel diagnostic and therapeutic strategies to treat patients with spinal cord ependymal tumor.

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticAdultDatabases, GeneticEpendymomaGene Expression ProfilingGene Regulatory NetworksGenome, HumanHumansMethylationPromoter Regions, GeneticRNA, Long NoncodingSignal TransductionSpinal CordSpinal NeoplasmsRNA, Long Noncoding

Identifiers

PMID31257484
PMCPMC6625447
OpenAlexW2951864832

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.