Evidence map›Paper›PMID 25755742›Full record

ArticleInternational journal of clinical and experimental pathology2015

Integrated regulatory mechanisms of miRNAs and targeted genes involved in colorectal cancer.

Jianxin Wang, Hualong Yu, Lan Ye, Lei Jin, Miao Yu, Yanfeng Lv

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Collagen XI alpha 1 chain, a potential therapeutic target for cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Review
  9. Article
  10. Observational
  11. A Systematic Review of miR-29 in Cancer.Molecular therapy oncolytics · 2019
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

6 authors.

Jianxin WangDepartment of Anorectal Surgery, The Second Hospital of Shandong University Jinan 250033, Shandong Province, China.
Hualong YuDepartment of Anorectal Surgery, The Second Hospital of Shandong University Jinan 250033, Shandong Province, China.
Lan YeDepartment of Oncology, The Second Hospital of Shandong University Jinan 250033, Shandong Province, China.
Lei JinDepartment of Anorectal Surgery, The Second Hospital of Shandong University Jinan 250033, Shandong Province, China.
Miao YuDepartment of Anorectal Surgery, The Second Hospital of Shandong University Jinan 250033, Shandong Province, China.
Yanfeng LvDepartment of Anorectal Surgery, The Second Hospital of Shandong University Jinan 250033, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCRC (Colorectal cancer) is a lethal cancer for death worldwide and the underlying pathological mechanisms for CRC progression remain unclear. We aimed to explore the regulatory mechanism of CRC and provide novel biomarkers for CRC screening.

methodsDownloading from GEO (Gene Expression Omnibus) database, Microarray data GSE44861 were consisted of 111 colon tissues samples including 55 from adjacent noncancerous tissues and 56 from tumors tissues. After data pre-processing, up- and down regulated DEGs (differentially expressed genes) were identified using Bayes moderated t-test. Then DIVAD (Database for Annotation, Visualization and Integrated Discovery) was recruited to perform functional analysis for DEGs. Thereafter, PPI (protein-protein interaction) network was constructed by mapping DEGs into STRING (Search Tool for the Retrieval of Interacting Genes) database. Further, PPI modules were constructed and the protein domains of DEGs in the modules were analyzed. Moreover, miRNA regulatory network was established through GSEA (gene set enrichment analysis) method.

resultsIn summary, 96 up- and 212 down-regulated DEGs were identified. Totally, ten DEGs with high degrees in the constructed PPI network were selected, in which COLL1A1, PTGS2 and ASPN were also identified as crucial genes in PPI modules. Furthermore, COLL1A1 was predicted to be targeted by miR-29, while PTGS2 and ASPN were both predicted to be regulated by miR-101 and miR-26.

conclusionCOL11A1 might involve in the progression of CRC via being targeted by miR-29, whereas PTGS2 and ASPN were both regulated by miR-101 and miR-26. Moreover, ASPN may be supposed as a novel biomarker for CRC detection and prevention.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorColonColorectal NeoplasmsGene Expression ProfilingHumansMicroRNAsProtein Interaction MapsBiomarkers, TumorMicroRNAsASPNCOLL1A1Colorectal cancermiRNAPTGS2target genes

Identifiers

PMID25755742
PMCPMC4348893

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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.