Evidence map›Paper›PMID 21495870›Full record

ReviewToxicology mechanisms and methods2011

Genomic instability and mouse microRNAs.

Konrad Huppi, Jason Pitt, Brady Wahlberg, Natasha J Caplen

Abstract readReview
In one paragraph

Review in Toxicology mechanisms and methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Unraveling MYC's Role in Orchestrating Tumor Intrinsic and Tumor Microenvironment Interactions Driving Tumorigenesis and Drug Resistance.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. c-MYC-induced genomic instability.Cold Spring Harbor perspectives in medicine · 2014
    Review
  7. Oncogenic Myc translocations are independent of chromosomal location and orientation of the immunoglobulin heavy chain locus.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

4 authors at 2 institutions in 1 country.

Konrad HuppiGene Silencing Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. huppi@helix.nih.gov
Jason Pitt
Brady Wahlberg
Natasha J Caplen
Center for Cancer Research · USNational Institutes of Health · US

Funding

The Role of miRNA-mediated RNAI in the Biology of CancerZIABC010612 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CAPLEN, NATASHA · 2009 to 2015
$1.7M
The Role of miRNA-mediated RNAI in the Biology of CancerZ01BC010612 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CAPLEN, NATASHA · 2005 to 2008
$691k
Intramural NIH HHS Z01 BC010612Intramural NIH HHS ZIA BC010612
6 · The paper itself

Abstract

Tumor progression is the continual selection of variant subpopulations of malignant cells that have acquired increasing levels of genetic instability (Nowell Science 1976, 194, 23-28). This instability is manifested as chromosomal aneuploidy or translocations, viral integration or somatic mutations that typically affect the expression of a gene (oncogene) that is especially damaging to the proper function of a cell. With the recent discovery of non-coding RNAs such as microRNAs (miRNAs), the concept that a target of genetic instability must be a protein-encoding gene is no longer tenable. Over the years, we have conducted several studies comparing the location of miRNA genes to positions of genetic instability, principally retroviral integration sites and chromosomal translocations in the mouse as a means of identifying miRNAs of importance in carcinogenesis. In this current study, we have used the most recent annotation of the mouse miRome (miRBase, release 16.0), and several datasets reporting the sites of integration of different retroviral vectors in a variety of mouse strains and mouse models of cancer, including for the first time a model that shows a propensity to form solid tumors, as a means to further identify or define, candidate oncogenic miRNAs. Several miRNA genes and miRNA gene clusters stand out as interesting new candidate oncogenes due to their close proximity to common retroviral integration sites including miR-29a/b/c and miR106a~363. We also discussed some recently identified miRNAs including miR-1965, miR-1900, miR-1945, miR-1931, miR-1894, and miR-1936 that are close to common retroviral integration sites and are therefore likely to have some role in cell homeostasis.

Indexed as

Genomic InstabilityAnimalsGene Expression ProfilingMiceMicroRNAsMutagenesisNeoplasms, ExperimentalRetroviridaeMicroRNAs

Identifiers

PMID21495870
PMCPMC3401939
OpenAlexW2065606274

What OpenQuestion holds

Textmetadata
LicenceTDM
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.