Evidence map›Paper›PMID 26243828›Full record

ArticleIET systems biology2015

Identification of cancer-related genes and motifs in the human gene regulatory network.

Matthew B Carson, Jianlei Gu, Guangjun Yu, Hui Lu

Open access · greenAbstract read
In one paragraph

Article in IET systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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 2 countries.

Matthew B CarsonCenter for Healthcare Studies, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 633 N. Saint Clair, Chicago, IL 60611, USA.
Jianlei GuShanghai Children's Hospital, Shanghai Jiaotong University, Shanghai 200040, People's Republic of China.
Guangjun YuShanghai Children's Hospital, Shanghai Jiaotong University, Shanghai 200040, People's Republic of China.
Hui LuShanghai Children's Hospital, Shanghai Jiaotong University, Shanghai 200040, People's Republic of China. huilu.bioinfo@gmail.com.
Shanghai Institute of Hematology · CNShanghai Jiao Tong University · CNUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors investigated the regulatory network motifs and corresponding motif positions of cancer-related genes. First, they mapped disease-related genes to a transcription factor regulatory network. Next, they calculated statistically significant motifs and subsequently identified positions within these motifs that were enriched in cancer-related genes. Potential mechanisms of these motifs and positions are discussed. These results could be used to identify other disease- and cancer-related genes and could also suggest mechanisms for how these genes relate to co-occurring diseases.

Indexed as

Base SequenceChromosome MappingGene Expression Regulation, NeoplasticGenes, NeoplasmGenetic Predisposition to DiseaseHumansMolecular Sequence DataMultigene FamilyNeoplasmsNucleotide MotifsTranscription FactorsTranscription Factors

Identifiers

PMID26243828
PMCPMC8687282
OpenAlexW1011370285

What OpenQuestion holds

Textmetadata
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.