Evidence map›Paper›PMID 26460735›Full record

ArticleOncotarget2015

Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma.

Xiaojing Zhang, Yin Peng, Zhe Jin, Weiling Huang, Yulan Cheng, Yudan Liu, Xianling Feng, Mengting Yang, Yong Huang, Zhenfu Zhao and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Gastric Cancer in the Era of Precision Medicine.Cellular and molecular gastroenterology and hepatology · 2017
    Review
  13. Review
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 6 institutions in 2 countries.

Xiaojing ZhangDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Yin PengDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Zhe JinDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Weiling HuangDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Yulan ChengDepartment of Medicine/GI Division, Johns Hopkins University and Sidney Kimmel Cancer Center, Baltimore, MD, USA.
Yudan LiuSchool of Pharmacy, China Medical University, Shenyang, Liaoning, People's Republic of China.
Xianling FengDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Mengting YangDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Yong HuangDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Zhenfu ZhaoDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Liang WangDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Yanjie WeiCenter for High Performance Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, Guangdong, People's Republic of China.
Xinmin FanDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Duo ZhengDepartment of Pathology, The Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Stephen J MeltzerDepartment of Medicine/GI Division, Johns Hopkins University and Sidney Kimmel Cancer Center, Baltimore, MD, USA.
Shenzhen University · CNChina Medical University · CNJohns Hopkins University · USPeking University · CNShenzhen Institutes of Advanced Technology · CNSidney Kimmel Comprehensive Cancer Center · US

Funding

The temporal epigenomic program of Barrett's neoplastic progressionR01DK087454 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J · 2009 to 2013
$1.8M
The Role of microRNA Alterations in Barrett's CarcinogenesisR01CA146799 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J · 2009 to 2012
$1.3M
PCR-free Multiplexed Detection of Circulating miRNA in BloodR21CA173390 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2012 to 2014
$676k
NCI NIH HHS CA146799NCI NIH HHS CA173390NCI NIH HHS R01 CA146799NCI NIH HHS R21 CA173390NIDDK NIH HHS DK087454NIDDK NIH HHS R01 DK087454
6 · The paper itself

Abstract

Gastric cancer (GC) is one of the leading causes of cancer-related deaths throughout China and worldwide. The discovery of microRNAs (miRNAs) has provided a new opportunity for developing diagnostic biomarkers and effective therapeutic targets in GC. By performing microarray analyses of benign and malignant gastric epithelial cell lines (HFE145, NCI-N87, MKN28, RF1, KATO III and RF48), 16 significantly dysregulated miRNAs were found. 11 of these were validated by real-time qRT-PCR. Based on miRWalk online database scans, 703 potential mRNA targets of the 16 miRNAs were identified. Bioinformatic analyses suggested that these dysregulated miRNAs and their predicted targets were principally involved in tumor pathogenesis, MAPK signaling, and apoptosis. Finally, miRNA-gene network analyses identified miRNA-125b as a crucial miRNA in GC development. Taken together, these results develop a comprehensive expression and functional profile of differentially expressed miRNAs related to gastric oncogenesis. This profile may serve as a potential tool for biomarker and therapeutic target identification in GC patients.

Indexed as

Computational BiologyAdenocarcinomaBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMicroRNAsPhenotypePredictive Value of TestsReal-Time Polymerase Chain ReactionReproducibility of ResultsSignal TransductionStomach NeoplasmsBiomarkers, TumorMicroRNAsbioinformaticsgastric cancermiRNA profiling

Identifiers

PMID26460735
PMCPMC4741736
OpenAlexW1757703628

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.