Evidence map›Paper›PMID 24982912›Full record

ArticleBioMed research international2014

Identification of microRNAs as potential biomarker for gastric cancer by system biological analysis.

Wenying Yan, Shouli Wang, Zhandong Sun, Yuxin Lin, Shengwei Sun, Jiajia Chen, Weichang Chen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dysregulation of non-coding RNAs in gastric cancer.World journal of gastroenterology · 2015
    Review
  8. Challenges of deciphering gastric cancer heterogeneity.World journal of gastroenterology · 2015
    Review
  9. Review
  10. Clinically Significant Dysregulation ofAvicenna journal of medical biotechnology
    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

7 authors at 2 institutions in 1 country.

Wenying YanDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China ; Taicang Center for Translational Bioinformatics Center for Systems Biology, Taicang 215400, China.
Shouli WangDepartment of Pathology, Soochow University School of Medicine, Suzhou 215123, China.
Zhandong SunCenter for Systems Biology, Soochow University, No. 1 Shizi Street, Suzhou 215006, China.
Yuxin LinCenter for Systems Biology, Soochow University, No. 1 Shizi Street, Suzhou 215006, China.
Shengwei SunSchool of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, China.
Jiajia ChenCenter for Systems Biology, Soochow University, No. 1 Shizi Street, Suzhou 215006, China ; School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, China.
Weichang ChenDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Soochow University · CNSuzhou University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancers (GC) have the high morbidity and mortality rates worldwide and there is a need to identify sufficiently sensitive biomarkers for GC. MicroRNAs (miRNAs) could be promising potential biomarkers for GC diagnosis. We employed a systematic and integrative bioinformatics framework to identify GC-related microRNAs from the public microRNA and mRNA expression dataset generated by RNA-seq technology. The performance of the 17 candidate miRNAs was evaluated by hierarchal clustering, ROC analysis, and literature mining. Fourteen have been found to be associated with GC and three microRNAs (miR-211, let-7b, and miR-708) were for the first time reported to associate with GC and may be used for diagnostic biomarkers for GC.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCluster AnalysisFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMicroRNAsMiddle AgedRNA, MessengerROC CurveStomach NeoplasmsSystems BiologyBiomarkers, TumorMicroRNAsRNA, Messenger

Identifiers

PMID24982912
PMCPMC4058523
OpenAlexW2120070589

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.