Evidence map›Paper›PMID 33179115›Full record

ArticleMolecular medicine reports2021

A transcriptome profile in gallbladder cancer based on annotation analysis of microarray studies.

Chunlin Ge, Xuan Zhu, Xing Niu, Bingye Zhang, Lijie Chen

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 22 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

5 authors at 2 institutions in 1 country.

Chunlin Ge *Department of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China.
Xuan Zhu *Department of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China.
Xing NiuDepartment of Second Clinical College, Shengjing Hospital Affiliated to China Medical University, Shenyang, Liaoning 110004, P.R. China.
Bingye ZhangDepartment of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China.
Lijie ChenDepartment of Second Clinical College, Shengjing Hospital Affiliated to China Medical University, Shenyang, Liaoning 110004, P.R. China.
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the present study was to identify aberrantly expressed genes for gallbladder cancer based on the annotation analysis of microarray studies and to explore their potential functions. Differential gene expression was investigated in cholesterol polyps, gallbladder adenoma and gallbladder cancer using microarrays. Subsequently, microarray results were comprehensively analyzed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to determine the affected biological processes or pathways. Differentially expressed genes (DEGs) of cholesterol polyps, gallbladder adenoma and gallbladder cancer were identified. Following comprehensive analysis, 14 genes were found to be differentially expressed in the gallbladder wall of both gallbladder cancer and gallbladder adenoma. The 20 most significantly upregulated genes were only upregulated in the gallbladder wall of gallbladder cancer, but not in the gallbladder wall of cholesterol polyps and gallbladder adenoma. In addition, 182 DEGs were upregulated in the gallbladder wall of gallbladder adenoma compared with the gallbladder wall of cholesterol polyps. A total of 20 most significant DEGs were found in both the tumor and gallbladder wall of gallbladder cancer. In addition, the most significant DEGs that were identified were only upregulated in the tumor of gallbladder cancer. GO and KEGG analysis indicated that the aforementioned DEGs could participate in numerous biological processes or pathways associated with the development of gallbladder cancer. The present findings will help improve the current understanding of tumorigenesis and the development of gallbladder cancer.

Indexed as

Gene Regulatory NetworksAdenomaFemaleGallbladder NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroarray AnalysisMiddle AgedMolecular Sequence AnnotationPolypsProtein Interaction MapsSurvival Analysisbiomarkerscholesterol polypsgallbladder adenomagallbladder cancergallbladder diseases

Identifiers

PMID33179115
PMCPMC7673323
OpenAlexW3094868249

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.