Evidence map›Paper›PMID 28881636›Full record

ArticleOncotarget2017

The landscape of DNA methylation-mediated regulation of long non-coding RNAs in breast cancer.

Chunlong Zhang, Xinyu Wang, Xuecang Li, Ning Zhao, Yihan Wang, Xiaole Han, Ce Ci, Jian Zhang, Meng Li, Yan Zhang

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Cancer research · 2019
    Article
  7. Long non-coding RNAOncotarget · 2018
    Article
  8. Review
  9. Review
  10. Article
  11. 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

10 authors at 2 institutions in 1 country.

Chunlong Zhang *Department of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163000, China.
Xinyu Wang *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xuecang LiDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163000, China.
Ning ZhaoSchool of Life Science and Technology, Harbin Institute of Technology, Harbin, 150081, China.
Yihan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xiaole HanDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163000, China.
Ce CiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Jian ZhangDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163000, China.
Meng LiDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163000, China.
Yan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Harbin Medical University · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although systematic studies have identified a host of long non-coding RNAs (lncRNAs) which are involved in breast cancer, the knowledge about the methyla-tion-mediated dysregulation of those lncRNAs remains limited. Here, we integrated multi-omics data to analyze the methylated alteration of lncRNAs in breast invasive carcinoma (BRCA). We found that lncRNAs showed diverse methylation patterns on promoter regions in BRCA. LncRNAs were divided into two categories and four subcategories based on their promoter methylation patterns and expression levels be-tween tumor and normal samples. Through cis-regulatory analysis and gene ontology network, abnormally methylated lncRNAs were identified to be associated with can-cer regulation, proliferation or expression of transcription factors. Competing endog-enous RNA network and functional enrichment analysis of abnormally methylated lncRNAs showed that lncRNAs with different methylation patterns were involved in several hallmarks and KEGG pathways of cancers significantly. Finally, survival analysis based on mRNA modules in networks revealed that lncRNAs silenced by high methylation were associated with prognosis significantly in BRCA. This study enhances the understanding of aberrantly methylated patterns of lncRNAs and pro-vides a novel insight for identifying cancer biomarkers and potential therapeutic tar-gets in breast cancer.

Indexed as

breast cancerDNA methylationhallmarklncRNAnetwork

Identifiers

PMID28881636
PMCPMC5584237
OpenAlexW2612830447

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.