Evidence map›Paper›PMID 24096364›Full record

ArticleNature structural & molecular biology2013

Analysis of microRNA-target interactions across diverse cancer types.

Anders Jacobsen, Joachim Silber, Girish Harinath, Jason T Huse, Nikolaus Schultz, Chris Sander

Open access · hybridAbstract read
In one paragraph

Article in Nature structural & molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

112 citing papers in PubMed, 198 citations in OpenAlex.

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  14. DNA Hydroxymethylation in Smoking-Associated Cancers.International journal of molecular sciences · 2022
    Review
  15. Article
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  18. Article
  19. Article
  20. Integrative approaches for analysis of mRNA and microRNA high-throughput data.Computational and structural biotechnology journal · 2021
    Review

52 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Anders JacobsenComputational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Joachim Silber
Girish Harinath
Jason T Huse
Nikolaus Schultz
Chris Sander
Memorial Sloan Kettering Cancer Center · US

Funding

MSKCC Center for Translational Cancer Genomic AnalysisU24CA143840 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADANYI, MARC, SANDER, CHRIS · 2009 to 2016
$11.5M
NCI NIH HHS U24 CA143840
6 · The paper itself

Abstract

Little is known about the extent to which individual microRNAs (miRNAs) regulate common processes of tumor biology across diverse cancer types. Using molecular profiles of >3,000 tumors from 11 human cancer types in The Cancer Genome Atlas, we systematically analyzed expression of miRNAs and mRNAs across cancer types to infer recurrent cancer-associated miRNA-target relationships. As we expected, the inferred relationships were consistent with sequence-based predictions and published data from miRNA perturbation experiments. Notably, miRNAs with recurrent target relationships were frequently regulated by genetic and epigenetic alterations across the studied cancer types. We also identify new examples of miRNAs that coordinately regulate cancer pathways, including the miR-29 family, which recurrently regulates active DNA demethylation pathway members TET1 and TDG. The online resource http://cancerminer.org allows exploration and prioritization of miRNA-target interactions that potentially regulate tumorigenesis.

Indexed as

Gene Expression RegulationComputational BiologyDNA MethylationEpigenesis, GeneticGene Expression ProfilingHumansMicroRNAsNeoplasmsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID24096364
PMCPMC3982325
OpenAlexW2007368465

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.