Evidence map›Paper›PMID 29099749›Full record

ReviewInternational journal of molecular sciences2017

Regulation of Human Breast Cancer by the Long Non-Coding RNA H19.

Jordan Collette, Xuefen Le Bourhis, Eric Adriaenssens

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
  2. Cells · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Long noncoding RNA (lncRNA)Genes & diseases · 2023
    Review
  9. Epigenetic Alterations in DCIS Progression: What Can lncRNAs Teach Us?International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Breast Cancer and the Other Non-Coding RNAs.International journal of molecular sciences · 2021
    Review
  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

3 authors at 2 institutions in 1 country.

Jordan ColletteINSERM U908, 59655 Villeneuve d'Ascq, France. jorkan62@gmail.com.
Xuefen Le BourhisINSERM U908, 59655 Villeneuve d'Ascq, France. xuefen.lebourhis@univ-lille1.fr.
Eric AdriaenssensINSERM U908, 59655 Villeneuve d'Ascq, France. eric.adriaenssens@univ-lille1.fr.
Université de Lille · FRComputer Science Laboratory of Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common causes of cancer related deaths in women. Despite the progress in early detection and use of new therapeutic targets associated with development of novel therapeutic options, breast cancer remains a major problem in public health. Indeed, even if the survival rate has improved for breast cancer patients, the number of recurrences within five years and the five-year relative survival rate in patients with metastasis remain dramatic. Thus, the discovery of new molecular actors involved in breast progression is essential to improve the management of this disease. Numerous data indicate that long non-coding RNA are implicated in breast cancer development. The oncofetal lncRNA

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticAnimalsBreastBreast NeoplasmsCell CycleFemaleGenetic LociHumansRNA, Long NoncodingH19 long non-coding RNARNA, Long Noncodingbreast cancerH19lncRNAnon-coding RNA

Identifiers

PMID29099749
PMCPMC5713288
OpenAlexW2766372894

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.