Evidence map›Paper›PMID 24944708›Full record

ArticleOncology letters2014

Construction and analysis of regulatory genetic networks in cervical cancer based on involved microRNAs, target genes, transcription factors and host genes.

Ning Wang, Zhiwen Xu, Kunhao Wang, Minghui Zhu, Yang Li

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2014. 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
1.0field-weighted citation impact, top 26% 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, 15 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

5 authors at 1 institution in 1 country.

Ning WangDepartment of Computer Science and Technology, Jilin University, Changchun 130012, P.R. China ; Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, P.R. China.
Zhiwen XuDepartment of Computer Science and Technology, Jilin University, Changchun 130012, P.R. China ; Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, P.R. China.
Kunhao WangDepartment of Computer Science and Technology, Jilin University, Changchun 130012, P.R. China ; Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, P.R. China.
Minghui ZhuDepartment of Computer Science and Technology, Jilin University, Changchun 130012, P.R. China ; Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, P.R. China.
Yang LiDepartment of Computer Science and Technology, Jilin University, Changchun 130012, P.R. China ; Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, P.R. China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over recent years, genes and microRNA (miRNA/miR) have been considered as key biological factors in human carcinogenesis. During cancer development, genes may act as multiple identities, including target genes of miRNA, transcription factors and host genes. The present study concentrated on the regulatory networks consisting of the biological factors involved in cervical cancer in order to investigate their features and affect on this specific pathology. Numerous raw data was collected and organized into purposeful structures, and adaptive procedures were defined for application to the prepared data. The networks were therefore built with the factors as basic components according to their interacting associations. The networks were constructed at three levels of interdependency, including a differentially-expressed network, a related network and a global network. Comparisons and analyses were made at a systematic level rather than from an isolated gene or miRNA. Critical hubs were extracted in the core networks and notable features were discussed, including self-adaption feedback regulation. The present study expounds the pathogenesis from a novel point of view and is proposed to provide inspiration for further investigation and therapy.

Indexed as

cervical cancergenetic regulationmicroRNAnetworktranscription factor

Identifiers

PMID24944708
PMCPMC3961274
OpenAlexW2014475602

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.