Evidence map›Paper›PMID 30862109›Full record

ArticleCancers2019

Xiaolian Gu, Lixiao Wang, Linda Boldrup, Philip J Coates, Robin Fahraeus, Nicola Sgaramella, Torben Wilms, Karin Nylander

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Integrative machine learning and neural networks for identifying PANoptosis-related lncRNA molecular subtypes and constructing a predictive model for head and neck squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  4. Article
  5. Article
  6. Prognosis of colon cancer patients based on enhancer RNAs-related genes.Journal of cancer research and clinical oncology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 3 institutions in 3 countries.

Xiaolian GuDepartment of Medical Biosciences/Pathology, Umeå University, 90185 Umeå, Sweden. xiaolian.gu@umu.se.ORCID 0000-0002-6574-3628
Lixiao WangDepartment of Medical Biosciences/Pathology, Umeå University, 90185 Umeå, Sweden. lixiao.wang@umu.se.
Linda BoldrupDepartment of Medical Biosciences/Pathology, Umeå University, 90185 Umeå, Sweden. linda.boldrup@umu.se.
Philip J CoatesRECAMO, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic. philip.coates@mou.cz.
Robin FahraeusDepartment of Medical Biosciences/Pathology, Umeå University, 90185 Umeå, Sweden. robin.fahraeus@inserm.fr.
Nicola SgaramellaDepartment of Medical Biosciences/Pathology, Umeå University, 90185 Umeå, Sweden. sgaramellanicola12@gmail.com.
Torben WilmsDepartment of Clinical Sciences/ENT, Umeå University, 90185 Umeå, Sweden. Torben.Wilms@vll.se.
Karin NylanderDepartment of Medical Biosciences/Pathology, Umeå University, 90185 Umeå, Sweden. karin.nylander@umu.se.ORCID 0000-0002-4831-4100
Umeå University · SEInserm · FRMasaryk Memorial Cancer Institute · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing number of long non-coding RNAs (lncRNAs) have been linked to squamous cell carcinoma of the head and neck (SCCHN). A subclass of lncRNAs, termed enhancer RNAs (eRNAs), are derived from enhancer regions and could contribute to enhancer function. In this study, we developed an integrated data analysis approach to identify key eRNAs in SCCHN. Tissue-specific enhancer-derived RNAs and their regulated genes previously predicted using the computational pipeline PreSTIGE, were considered as putative eRNA-target pairs. The interactive web servers, TANRIC (the Atlas of Noncoding RNAs in Cancer) and cBioPortal, were used to explore the RNA levels and clinical data from the Cancer Genome Atlas (TCGA) project. Requiring that key eRNAs should show significant associations with overall survival (Kaplan⁻Meier log-rank test,

Indexed as

AP001056.1enhancerICOSLGlncRNASCCHNtumor immunity

Identifiers

PMID30862109
PMCPMC6468641
OpenAlexW2921546183

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.