Evidence map›Paper›PMID 24322557›Full record

ArticleGenome research2014

An integrated systems genetics screen reveals the transcriptional structure of inherited predisposition to metastatic disease.

Farhoud Faraji, Ying Hu, Gang Wu, Natalie E Goldberger, Renard C Walker, Jinghui Zhang, Kent W Hunter

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. 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
–field-weighted citation impact
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, 50 citations in OpenAlex.

  1. Article
  2. Elucidating the Role ofCurrent issues in molecular biology · 2025
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  6. Review
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  8. Review
  9. Mechanisms of breast cancer metastasis.Clinical & experimental metastasis · 2022
    Review
  10. Article
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  13. Article
  14. Article
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  16. Reparameterization of PAM50 Expression Identifies Novel Breast Tumor Dimensions and Leads to Discovery of a Genome-Wide Significant Breast Cancer Locus atCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
  17. Review
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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

7 authors at 2 institutions in 1 country.

Farhoud FarajiMetastasis Susceptibility Section, Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
Ying Hu
Gang Wu
Natalie E Goldberger
Renard C Walker
Jinghui Zhang
Kent W Hunter
National Institutes of Health · USSt. Jude Children's Research Hospital · US

Funding

Genetic Modifiers of Intitiation and Progression of Mammary CancerZIABC011255 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HUNTER, KENT WILLIAM · 2010 to 2025
$33.2M
Howard Hughes Medical InstituteIntramural NIH HHS
6 · The paper itself

Abstract

Metastasis is the result of stochastic genomic and epigenetic events leading to gene expression profiles that drive tumor dissemination. Here we exploit the principle that metastatic propensity is modified by the genetic background to generate prognostic gene expression signatures that illuminate regulators of metastasis. We also identify multiple microRNAs whose germline variation is causally linked to tumor progression and metastasis. We employ network analysis of global gene expression profiles in tumors derived from a panel of recombinant inbred mice to identify a network of co-expressed genes centered on Cnot2 that predicts metastasis-free survival. Modulating Cnot2 expression changes tumor cell metastatic potential in vivo, supporting a functional role for Cnot2 in metastasis. Small RNA sequencing of the same tumor set revealed a negative correlation between expression of the Mir216/217 cluster and tumor progression. Expression quantitative trait locus analysis (eQTL) identified cis-eQTLs at the Mir216/217 locus, indicating that differences in expression may be inherited. Ectopic expression of Mir216/217 in tumor cells suppressed metastasis in vivo. Finally, small RNA sequencing and mRNA expression profiling data were integrated to reveal that miR-3470a/b target a high proportion of network transcripts. In vivo analysis of Mir3470a/b demonstrated that both promote metastasis. Moreover, Mir3470b is a likely regulator of the Cnot2 network as its overexpression down-regulated expression of network hub genes and enhanced metastasis in vivo, phenocopying Cnot2 knockdown. The resulting data from this strategy identify Cnot2 as a novel regulator of metastasis and demonstrate the power of our systems-level approach in identifying modifiers of metastasis.

Indexed as

AnimalsGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMiceMicroRNAsNeoplasm MetastasisNeoplasmsQuantitative Trait LociRepressor ProteinsRNA, MessengerCNOT2 protein, humanMicroRNAsRepressor ProteinsRNA, Messenger

Identifiers

PMID24322557
PMCPMC3912413
OpenAlexW2139319342

What OpenQuestion holds

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LicenceCC BY-NC
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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.