Evidence map›Paper›PMID 28559963›Full record

ArticleAmerican journal of translational research2017

Identification of miR-101-3p targets and functional features based on bioinformatics, meta-analysis and experimental verification in hepatocellular carcinoma.

Chun-Yao Li, Yu-Yan Pang, Hong Yang, Jia Li, Hai-Xia Lu, Han-Lin Wang, Wei-Jia Mo, Lan-Shan Huang, Zhen-Bo Feng, Gang Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2017. 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
1.2field-weighted citation impact, top 23% 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, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. LncRNA UCHL1-AS1 prevents cell mobility of hepatocellular carcinoma: a study based onInternational journal of clinical and experimental pathology · 2018
    Article
  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

10 authors at 1 institution in 1 country.

Chun-Yao LiDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Yu-Yan PangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Hong YangDepartment of Medical Ultrasonics, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Jia LiDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Hai-Xia LuDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Han-Lin WangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Wei-Jia MoDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Lan-Shan HuangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Zhen-Bo FengDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
First Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiR-101-3p has been reported to suppress invasion and metastasis in hepatocellular carcinoma (HCC) cells. However, the relevant mechanisms are still unclear. The research seeks to determine systematic value of miR-101-3p in HCC, and comprehensively summarize the predicted target genes as well as their potential function, pathways and networks in HCC.

methodsThe miR-101-1 profiles in 353 HCC patients from The Cancer Genome Atlas (TCGA) were analyzed. Meta-analysis was performed to estimate relationship of miR-101 (including precursor and mature miR-101) with clinical features and prognosis in HCC. Further, the promising targets of miR-101-3p were predicted and followed with Gene Ontology (GO), pathway and network analysis. In addition, the functional impact of miR-101-3p was confirmed with

resultsIn TCGA data, low-expression of miR-101-1 might be a diagnostic (AUC: 0.924, 95% CI: 0.894-0.953) and prognostic (HR=1.55) marker for HCC. Down-regulated miR-101-1 also correlated with poor differentiation, advanced TNM stage, lymph node metastasis and high AFP level of HCC. Meta-analysis revealed that miR-101 down-regulation were associated with poor prognosis, high AFP level and advanced TNM stage of HCC. Moreover, 343 hub genes were filtered and miR-101-3p may be involved in intracellular signaling cascade, transcription, metabolism and cell proliferation. Focal adhesion and pathways in cancer were also significantly enriched.

conclusionsMiR-101-1 may be a prospective biomarker for diagnosis and prognosis of HCC. Potential targets of miR-101-3p could regulate genesis and development of HCC. The data offers insights into biological significances and promising targets of miR-101-3p for further investigation and potential therapies in HCC.

Indexed as

bioinformaticsHepatocellular carcinomamechanismsmiR-101-3ptargets

Identifiers

PMID28559963
PMCPMC5446495
OpenAlexW2981537482

What OpenQuestion holds

Textmetadata
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.