Evidence map›Paper›PMID 29559845›Full record

ArticleInternational journal of biological sciences2018

Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysis.

Lushun Yuan, Guang Zeng, Liang Chen, Gang Wang, Xiaolong Wang, Xinyue Cao, Mengxin Lu, Xuefeng Liu, Guofeng Qian, Yu Xiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

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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 5 institutions in 3 countries.

Lushun YuanDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Guang ZengDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Liang ChenDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Gang WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xiaolong WangDepartment of Urology, Ludwig-Maximilians-University Munich, Munich, Germany.
Xinyue CaoDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Mengxin LuDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xuefeng LiuDepartment of Pathology, Lombardi Comprehensive Cancer Center, Georgetown University Medical School, Washington DC, USA.
Guofeng QianDepartment of Endocrinology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China.
Yu XiaoDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xinghuan WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNZhongnan Hospital of Wuhan University · CNFirst Affiliated Hospital Zhejiang University · CNGeorgetown University Medical Center · USLudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human clear cell renal cell carcinoma (ccRCC) is the most common solid lesion within kidney, and its prognostic is influenced by the progression covering a complex network of gene interactions. In our study, we screened differential expressed genes, and constructed protein-protein interaction (PPI) network and a weighted gene co-expression network to identify key genes and pathways associated with the progression of ccRCC (n = 56). Functional and pathway enrichment analysis demonstrated that upregulated differentially expressed genes (DEGs) were significantly enriched in response to wounding, positive regulation of immune system process, leukocyte activation, immune response and cell activation. Downregulated DEGs were significantly enriched in oxidation reduction, monovalent inorganic cation transport, ion transport, excretion and anion transport. In the PPI network, top 10 hub genes were identified (

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, Renal CellHumansKidney NeoplasmsNeoplasm ProteinsProtein Interaction MapsNeoplasm Proteinsbiomarkerclear cell renal cell carcinoma (ccRCC)differentially expressed genes (DEGs)protein-protein interaction (PPI)weighted gene co-expression network analysis (WGCNA)

Identifiers

PMID29559845
PMCPMC5859473
OpenAlexW2789615218

What OpenQuestion holds

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LicenceCC BY-NC
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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.