Evidence map›Paper›PMID 28231410›Full record

ArticleCancer science2017

Transcriptomic analyses of RNA-binding proteins reveal eIF3c promotes cell proliferation in hepatocellular carcinoma.

Tangjian Li, Shengli Li, Di Chen, Bing Chen, Tao Yu, Fangyu Zhao, Qifeng Wang, Ming Yao, Shenglin Huang, Zhiao Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

31 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  12. Review
  13. RNA m6A methylation regulators in ovarian cancer.Cancer cell international · 2021
    Review
  14. The regulation of protein translation and its implications for cancer.Signal transduction and targeted therapy · 2021
    Review
  15. Article
  16. Article
  17. Role of N6-Methyladenosine (mFrontiers in oncology · 2021
    Review
  18. Article
  19. Article
  20. 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

11 authors at 2 institutions in 1 country.

Tangjian LiFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Shengli LiFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Di ChenFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Bing ChenFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Tao YuState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fangyu ZhaoState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qifeng WangFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Ming YaoState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shenglin HuangFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Zhiao ChenFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Xianghuo HeFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-8872-668X
Fudan University Shanghai Cancer Center · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding proteins (RBPs) play fundamental roles in the RNA life cycle. The aberrant expression of RBPs is often observed in human disease, including cancer. In this study, we screened for the expression levels of 1542 human RBPs in The Cancer Genome Atlas liver hepatocellular carcinoma samples and found 92 consistently upregulated RBP genes in HCC compared with normal samples. Additionally, we undertook a Kaplan-Meier analysis and found that high expression of 15 RBP genes was associated with poor prognosis in patients with HCC. Furthermore, we found that eIF3c promotes HCC cell proliferation in vitro as well as tumorigenicity in vivo. Gene Set Enrichment Analysis showed that high eIF3c expression is positively associated with KRAS, vascular endothelial growth factor, and Hedgehog signaling pathways, all of which are closely associated with specific cancer-related gene sets. Our study provides the basis for further investigation of the molecular mechanism by which eIF3c promotes the development and progression of HCC.

Indexed as

Carcinoma, HepatocellularCell LineCell Line, TumorCell ProliferationDisease ProgressionEukaryotic Initiation Factor-3FemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHEK293 CellsHumansKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedRNA-Binding ProteinsEIF3D protein, humanEukaryotic Initiation Factor-3RNA-Binding ProteinsVascular Endothelial Growth Factor ACell proliferationeukaryotic translation initiation factor 3 subunit Chepatocellular carcinomaRNA binding-proteinsthe Cancer Genome Atlas

Identifiers

PMID28231410
PMCPMC5448617
OpenAlexW2590180796

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.