Evidence map›Paper›PMID 25403569›Full record

ArticleScientific reports2014

Potential microRNA-mediated oncogenic intercellular communication revealed by pan-cancer analysis.

Yue Li, Zhaolei Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Current and future biomarkers in colorectal cancer.Annals of gastroenterology · 2017
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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

2 authors at 1 institution in 1 country.

Yue Li1] Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada [2] The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Zhaolei Zhang1] Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada [2] The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada [3] Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada [4] Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carcinogenesis consists of oncogenesis and metastasis, and intriguingly microRNAs (miRNAs) are involved in both processes. Although aberrant miRNA activities are prevalent in diverse tumor types, the exact mechanisms for how they regulate cancerous processes are not always clear. To this end, we performed a large-scale pan-cancer analysis via a novel probabilistic approach to infer recurrent miRNA-target interactions implicated in 12 cancer types using data from The Cancer Genome Atlas. We discovered ~20,000 recurrent miRNA regulations, which are enriched for cancer-related miRNAs/genes. Notably, miRNA 200 family (miR-200/141/429) is among the most prominent miRNA regulators, which is known to be involved in metastasis. Importantly, the recurrent miRNA regulatory network is not only enriched for cancer pathways but also for extracellular matrix (ECM) organization and ECM-receptor interactions. The results suggest an intriguing cancer mechanism involving miRNA-mediated cell-to-cell communication, which possibly involves delivery of tumorigenic miRNA messengers to adjacent cells via exosomes. Finally, survival analysis revealed 414 recurrent-prognostic associations, where both gene and miRNA involved in each interaction conferred significant prognostic power in one or more cancer types. Together, our comprehensive pan-cancer analysis provided not only biological insights into metastasis but also brought to bear the clinical relevance of the proposed recurrent miRNA-gene associations.

Indexed as

Gene Expression Regulation, NeoplasticGenome, HumanAtlases as TopicBase SequenceBiological TransportCarcinogenesisCell CommunicationDatabases, GeneticExosomesGene Regulatory NetworksHumansMicroRNAsMolecular Sequence DataNeoplasm MetastasisNeoplasm ProteinsNeoplasmsMicroRNAsNeoplasm Proteins

Identifiers

PMID25403569
PMCPMC4235308
OpenAlexW2030802371

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.