Evidence map›Paper›PMID 31019939›Full record

ArticleAnnals of translational medicine2019

Systematic identification of key genes and pathways in clear cell renal cell carcinoma on bioinformatics analysis.

Zhao-Hui Tian, Cheng Yuan, Kang Yang, Xing-Liang Gao

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  15. Integrated Analysis of Three Publicly Available Gene Expression Profiles Identified Genes and Pathways Associated with Clear Cell Renal Cell Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

4 authors at 2 institutions in 1 country.

Zhao-Hui TianMedical Department, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi 445000, China.
Cheng YuanDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan 430071, China.
Kang YangDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan 430071, China.
Xing-Liang GaoDepartment of Lung Disease and Diabetes, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi 445000, China.
Wuhan University · CNThe Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is the most common subtype of adult renal neoplasm and has a poor prognosis owing to a limited understanding of the disease mechanisms. The aim of this study was to explore and identify the key genes and signaling pathways in ccRCC.

methodsThe GSE36895 gene expression profiles were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were then screened using software packages in R. After Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, a protein-protein interaction (PPI) network of DEGs was constructed with Cytoscape software, and submodules were subsequently analyzed using the MCODE plug-in.

resultsTwenty-nine ccRCC samples and 23 normal samples were incorporated into this study, and a total of 468 DEGs were filtered, consisting of 180 upregulated genes and 288 downregulated genes. The upregulated DEGs were significantly enriched in the immune response, response to wounding, inflammatory response, and response to hypoxia, whereas downregulated genes were mainly enriched in ion transport, anion transport, and monovalent inorganic cation transport biological processes (BPs). According to Molecular Complex Detection analysis in

conclusionsOur study suggests that

Indexed as

bioinformatics analysisClear cell renal cell carcinoma (ccRCC)differentially expressed genes (DEGs)microarray

Identifiers

PMID31019939
PMCPMC6462636
OpenAlexW2911244069

What OpenQuestion holds

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Registered trials

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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.