Evidence map›Paper›PMID 35559415›Full record

ArticleAmerican journal of translational research2022

High expression of RASAL1, a hub gene in the progression of liver cancer, suggests a poor prognostis.

Ruiwei Shen, Xiaona Shao, Dawei Chen, Chen Wang, Ting Lu, Dahua Chen, Xian Zhu, Jieqiong Lin, Qunqun Ye, Liang Zhao and 3 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Ruiwei ShenDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Xiaona ShaoDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Dawei ChenDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Chen WangDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Ting LuDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Dahua ChenDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Xian ZhuDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Jieqiong LinDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Qunqun YeDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Liang ZhaoDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Xingfeng GeDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Kai WangDepartment of GI Medicine, Ningbo Medical Centre Lihuili Hospital, Ningbo University Ningbo 315040, Zhejiang, China.
Juan YiDepartment of Anesthesiology, Ningbo First Hospital 59 Liuting Street, Ningbo 315000, Zhejiang, China.
Ningbo Medical Center Lihuili Hospital · CNNingbo First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLiver cancer (LC) is a frequently occurring lethal malignancy worldwide, yet the molecular mechanisms of carcinogenesis and their development remain uncharacterized. In this study, bioinformatics methods were used to find candidate hub genes for prognosis assessment and clinical treatment of LC.

methodsDifferential analysis was carried out based on the evidence of gene expression profiling in LC on The Cancer Genome Atlas (TCGA). The differentially expressed genes (DEGs) were constructed into co-expression networks and divided into modules by virtue of weighted gene co-expression network analysis (WGCNA). Based on the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), the module genes were subjected to functional enrichment analysis. The LC microarray (GSE105130) in the Gene Expression Omnibus was selected to verify the hub genes' expression profiles. The validity of the hub genes was verified via survival analysis, as well as expression correlation with the clinicopathological features. Thereafter, gene set variation analysis (GSVA) and single-sample gene set enrichment analysis (GSEA) were applied to investigate the possible biological functions of the hub genes.

resultsIn total, 3780 DEGs and 17 co-expression modules were obtained. The blue module had the strongest correlation with the tumour stage and the module genes were principally enriched in tumour-associated GO terms, as well as pathways such as Ras protein signal transduction, ERK1/2 cascade, Ras signal pathway, and ECM-receptor interaction. RASAL1, which is highly expressed in LC, was identified as a hub gene for LC progression. Its high expression suggested unfavorable patient prognosis and was correlated with T stage, gender and tumour stage. Further analysis identified that the overexpression of RASAL1 was substantially enriched in cancer-associated gene sets.

conclusionRASAL1 is a hub gene that influences LC progression, constituting a novel biomarker and molecular target in the future diagnosis and therapy of LC.

Indexed as

differential expression analysisliver cancerRASAL1Weighted gene co-expression network analysis

Identifiers

PMID35559415
PMCPMC9091118
OpenAlexW4285740528

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