Evidence map›Paper›PMID 24348776›Full record

ArticleExperimental and therapeutic medicine2014

A study exploring critical pathways in clear cell renal cell carcinoma.

Zisan Zeng, Tengcheng Que, Jiange Zhang, Yanling Hu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Renal Cell Carcinoma: Molecular Aspects.Indian journal of clinical biochemistry : IJCB · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. 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

4 authors at 3 institutions in 2 countries.

Zisan ZengDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi 530021, P.R. China.
Tengcheng QueWild Animal Rescue Center, Forestry Bureau of Guangxi, Guangxi 530021, P.R. China.
Jiange ZhangDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Guangxi 530021, P.R. China.
Yanling HuMedical Scientific Research Center, Guangxi Medical University, Guangxi 530021, P.R. China ; Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
First Affiliated Hospital of GuangXi Medical University · CNForestry Research Institute · UZGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is the most lethal type of cancer in the urinary system and often presents as a metastatic disease. Furthermore, there are no effective treatments for the disease. Several studies based on gene expression profiling have been performed with the aim of gaining insights into the pathogenesis of RCC; however, few studies have investigated RCC at the pathway level to search for the possible pathways involved in clear cell RCC (CCRCC). In this study, gene set enrichment analysis (GSEA) was conducted on microarray datasets from CCRCC tissue. DAVID functional enrichment analysis was performed based on the dysregulated genes that were identified in a meta-analysis performed on the microarray datasets from CCRCC tissue. In GSEA, 17 down- and 12 upregulated pathways coexisted in six datasets. The majority of the upregulated pathways were associated with the immune system. In addition, 32 dysregulated pathways were obtained from DAVID functional enrichment analysis, based on the abnormal genes identified by meta-analysis. This study demonstrated that cross-GSEA is a useful method for exploring the critical pathways involved CCRCC; however, an individual dataset with a small sample may introduce bias. A cross-GSEA based on certain well-designed datasets may be required to further the progress made in this study, following the analysis of its results.

Indexed as

clear cell renal cell carcinomagene expressionmeta-analyispathway analysis

Identifiers

PMID24348776
PMCPMC3861490
OpenAlexW1995105931

What OpenQuestion holds

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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.