Evidence map›Paper›PMID 24386215›Full record

ArticlePloS one2013

Systematic identification of core transcription factors mediating dysregulated links bridging inflammatory bowel diseases and colorectal cancer.

Yun Xiao, Huihui Fan, Yunpeng Zhang, Wenjing Xing, Yanyan Ping, Hongying Zhao, Chaohan Xu, Yiqun Li, Li Wang, Feng Li and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 92% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

15 authors at 1 institution in 1 country.

Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Huihui FanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Wenjing XingDepartment of immunology, Harbin Medical University, Harbin, Heilongjiang, China.
Yanyan PingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Hongying ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Chaohan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Yiqun LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Li WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Feng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Jing HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Teng HuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Yanling LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Huan RenDepartment of immunology, Harbin Medical University, Harbin, Heilongjiang, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence shows a tight link between inflammation and cancer. However, comprehensive identification of pivotal transcription factors (i.e., core TFs) mediating the dysregulated links remains challenging, mainly due to a lack of samples that can effectively reflect the connections between inflammation and tumorigenesis. Here, we constructed a series of TF-mediated regulatory networks from a large compendium of expression profiling of normal colonic tissues, inflammatory bowel diseases (IBDs) and colorectal cancer (CRC), which contains 1201 samples in total, and then proposed a network-based approach to characterize potential links bridging inflammation and cancer. For this purpose, we computed significantly dysregulated relationships between inflammation and their linked cancer networks, and then 24 core TFs with their dysregulated genes were identified. Collectively, our approach provides us with quite important insight into inflammation-associated tumorigenesis in colorectal cancer, which could also be applied to identify functionally dysregulated relationships mediating the links between other different disease phenotypes.

Indexed as

AlgorithmsCell Transformation, NeoplasticCluster AnalysisColorectal NeoplasmsComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansInflammatory Bowel DiseasesModels, BiologicalTranscription FactorsTranscription Factors

Identifiers

PMID24386215
PMCPMC3873387
OpenAlexW2032182359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.