Evidence map›Paper›PMID 22936386›Full record

ReviewMolecules and cells2012

BRCA1 and microRNAs: emerging networks and potential therapeutic targets.

Suhwan Chang, Shyam K Sharan

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecules and cells, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

30 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Levels of MicroRNA Heterogeneity in Cancer Biology.Molecular diagnosis & therapy · 2017
    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

2 authors at 2 institutions in 1 country.

Suhwan ChangMouse Cancer Genetics Program, Center for Cancer Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, USA.
Shyam K Sharan
Center for Cancer Research · USFrederick National Laboratory for Cancer Research · US

Funding

Functional Analysis of Variants Identified in Human Breast Cancer SusceptibilityZIABC011181 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SHARAN, SHYAM · 2009 to 2025
$11.6M
Intramural NIH HHS
6 · The paper itself

Abstract

BRCA1 is a well-known tumor suppressor implicated in familial breast and ovarian cancer. Since its cloning in 1994, numerous studies have established BRCA1's role in diverse cellular and biochemical processes, such as DNA damage repair, cell cycle control, and transcriptional regulation as well as ubiquitination. In addition, a number of recent studies have functionally linked this tumor suppressor to another important cellular regulator, microRNAs, which are short (19-22 nt) RNAs that were discovered in the nematode in 1993. Soon their presence and function were validated in mammals, and since then, the role of microRNAs has been actively investigated in almost all biological processes, including cancer. In this review, we will describe recent progress in the understanding of the BRCA1 function through microRNAs and the role of microRNAs in regulating BRCA1, with emphasis on the implication of these processes on the development and progression of cancer. We will also discuss the therapeutic potential of microRNA mimics or inhibitors of microRNAs to affect BRCA1 function.

Indexed as

AnimalsBRCA1 ProteinBreast NeoplasmsGenes, BRCA1HumansMicroRNAsModels, BiologicalNeoplasmsBRCA1 ProteinMicroRNAs

Identifiers

PMID22936386
PMCPMC3887789
OpenAlexW2081036514

What OpenQuestion holds

Textmetadata
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.