Evidence map›Paper›PMID 26448606›Full record

ArticleMolecular bioSystems2015

A cross-cancer differential co-expression network reveals microRNA-regulated oncogenic functional modules.

Chen-Ching Lin, Ramkrishna Mitra, Feixiong Cheng, Zhongming Zhao

Abstract read
In one paragraph

Article in Molecular bioSystems, 2015. 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 33% 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, 9 citations in OpenAlex.

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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

4 authors at 3 institutions in 3 countries.

Chen-Ching LinDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA. zhongming.zhao@vanderbilt.edu and Institute of BioMedical Informatics, National Yang-Ming University, Taipei, Taiwan.
Ramkrishna MitraDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA. zhongming.zhao@vanderbilt.edu.
Feixiong ChengDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA. zhongming.zhao@vanderbilt.edu.
Zhongming ZhaoDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA. zhongming.zhao@vanderbilt.edu and Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Vanderbilt University · USNashville Oncology Associates · USNational Taiwan University · TW

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Mapping the Genetic Architecture of Complex Disease via RNA-seq and GWAS DataR01LM011177 · NLM · VANDERBILT UNIVERSITY · PI ZHAO, ZHONGMING · 2012 to 2014
$1.0M
Investigating MicroRNAs and Their Regulatory Networks in GlioblastomaR03CA167695 · NCI · VANDERBILT UNIVERSITY · PI ZHAO, ZHONGMING · 2013 to 2014
$154k
NCI NIH HHS P30 CA068485NCI NIH HHS P30CA068485NCI NIH HHS P50 CA095103NCI NIH HHS P50CA095103NCI NIH HHS P50 CA098131NCI NIH HHS P50CA098131NCI NIH HHS R03 CA167695NCI NIH HHS R03CA167695NLM NIH HHS R01 LM011177NLM NIH HHS R01LM011177
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that can regulate their target gene expressions at the post-transcriptional level. Moreover, they have been reported as either oncomirs or tumor suppressors and possess therapeutic potential in cancer. In this study, we investigated differential co-expression of miRNAs across four cancer types. We observed that the loss of positive co-expressions among miRNAs frequently occurs in the studied cancer types. This observation suggests that the disruption of positive co-expressions among miRNAs may be prevalent during tumorigenesis. By systematically collecting these lost positive co-expressions among miRNAs in cancer, we constructed a cross-cancer miRNA differential co-expression network. We observed that the influential miRNAs in the proposed network, i.e., hubs or in larger cliques, tended to be involved in more cancer types than other miRNAs. Moreover, we found that miRNAs which lose their positive co-expressions in cancers might co-contribute to cancer development, and even could be used to predict the cancer types in which miRNAs were involved. Finally, we identified two potential miRNA-regulated onco-modules, mitosis and DNA replication, that are associated with poor survival outcomes in patients across multiple cancers. Collectively, our study suggested that the disruption of miRNA positive co-expression in cancer might contribute to cancer development. Our findings also form an important basis for identifying miRNAs with potential co-contribution to carcinogenesis.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksModels, BiologicalCell Transformation, NeoplasticGene Expression ProfilingHumansMicroRNAsNeoplasmsMicroRNAs

Identifiers

PMID26448606
PMCPMC4643368
OpenAlexW2174955952

What OpenQuestion holds

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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.