Evidence map›Paper›PMID 29618931›Full record

ArticleOncoTargets and therapy2018

Upregulated

Xilong Wang, Jun Zhang, Yangyun Wang, Minqi Tu, Ying Wang, Guowei Shi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in OncoTargets and therapy, 2018. 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
6.0field-weighted citation impact, top 3% 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, 28 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Article
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  8. Article
  9. Article
  10. Long Non-coding RNAFrontiers in oncology · 2020
    Article
  11. Review
  12. Article
  13. 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

6 authors at 1 institution in 1 country.

Xilong WangDepartment of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Jun ZhangDepartment of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Yangyun WangDepartment of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Minqi TuDepartment of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Ying WangDepartment of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Guowei ShiDepartment of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAs a typical hypervascular tumor, clear cell renal cell carcinoma (ccRCC) is the most common type of RCC. This study was aimed to explore the prognostic genes for ccRCC, focusing on the roles of vascular endothelial growth factor A ( MATERIALS AND

methodsThe mRNA-sequencing data of kidney renal clear cell carcinoma (KIRC) were obtained from The Cancer Genome Atlas (TCGA) database, including 469 tumor samples and 68 adjacent normal samples. Using limma package, differentially expressed genes (DEGs) were analyzed by differential expression and subgroup analyses and confirmed using validation dataset GSE53757. Followed by enrichment analysis, protein-protein interaction (PPI) network analysis and protein subcellular localization were performed using multifaceted analysis tool for human transcriptome tool, and Cytoscape software and InnateDB database, respectively. Moreover, survival analysis was conducted to identify key prognosis-associated genes. In addition,

resultsA total of 1,984 DEGs were screened in the KIRC tumor samples.

conclusion

Indexed as

clear cell renal cell carcinomadifferentially expressed genesproteinprotein interaction networksubgroup analysissurvival analysis

Identifiers

PMID29618931
PMCPMC5875410
OpenAlexW2791414104

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.