Evidence map›Paper›PMID 26692821›Full record

ArticleCancer cell international2015

Bioinformatics identification of potentially involved microRNAs in Tibetan with gastric cancer based on microRNA profiling.

Yushuang Luo, Chengwu Zhang, Feng Tang, Junhui Zhao, Cunfang Shen, Cheng Wang, Pengjie Yu, Miaozhou Wang, Yan Li, J I Di and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Identification and functional characterization of microRNAs reveal a potential role in gastric cancer progression.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
    Article
  14. Article
  15. Article
  16. Review
  17. 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

12 authors at 1 institution in 1 country.

Yushuang Luo *Research Center for High Altitude Medicine, Qinghai University of Medical School, Kunlong Road 16, Xining, 810001 China.
Chengwu Zhang *Department of Gastrointestinal Surgery, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Feng TangResearch Center for High Altitude Medicine, Qinghai University of Medical School, Kunlong Road 16, Xining, 810001 China.
Junhui ZhaoDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Cunfang ShenDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Cheng WangDepartment of Gastrointestinal Surgery, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Pengjie YuDepartment of Gastrointestinal Surgery, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Miaozhou WangDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Yan LiDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, 810001 China.
J I DiDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Rong ChenDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, 810001 China.
Ge RiliResearch Center for High Altitude Medicine, Qinghai University of Medical School, Kunlong Road 16, Xining, 810001 China.
Qinghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe incidence of gastric cancer is high in Chinese Tibetan. This study aimed to identify the differentially expressed microRNAs (miRNAs) and further explore their potential roles in Tibetan with gastric cancer so as to predict potential therapeutic targets.

methodsA total of 10 Tibetan patients (male:female = 6:4) with gastric cancer were enrolled for isolation of matched gastric cancer and adjacent non-cancerous tissue samples. Affymetrix GeneChip microRNA 3.0 Array was employed for detection of miRNA expression in samples. Differential expression analysis between two sample groups was analyzed using Limma package. Then, MultiMiR package was used to predict targets for miRNAs. Following, the target genes were put into DAVID (Database for Annotation, Visualization and Integrated Discovery) to identify the significant pathways of miRNAs.

resultsUsing Limma package in R, a total of 27 differentially expressed miRNAs were screened out in gastric cancer, including 25 down-regulated (e.g. hsa-miR-148a-3p, hsa-miR-148b-3p and hsa-miR-363-3p) and 2 up-regulated miRNAs. According to multiMiR package, a number of 1445 target genes (e.g. Wnt1, KLF4 and S1PR1) of 13 differentially expressed miRNAs were screened out. Among those miRNAs, hsa-miR-148a-3p, hsa-miR-148b-3p and hsa-miR-363-3p were identified with the most target genes. Furthermore, three miRNAs were significantly enriched in numerous common cancer-related pathways, including "Wnt signaling pathway", "MAPK signaling pathway" and "Jak-STAT signaling pathway".

conclusionsThe present study identified a downregulation and enrichment in cancer-related pathways of hsa-miR-148a-3p, hsa-miR-148b-3p and hsa-miR-363-3p in Tibetan with gastric cancer, which can be suggested as therapeutic targets.

Indexed as

Differentially expressed miRNAsEnrichment analysisGastric cancermiRNA microarrayNetwork of miRNAs-targets

Identifiers

PMID26692821
PMCPMC4676900
OpenAlexW2195408555

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.