Evidence map›Paper›PMID 33688206›Full record

ArticleOncoTargets and therapy2021

An Apoptotic Gene Signature for the Prognosis of Hepatocellular Carcinoma.

Kunlun Chen, Pengfei Zhu, Yuan Liao, Lei Yan, Ruo Feng, Wenlong Zhai

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kunlun Chen *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.
Pengfei Zhu *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.ORCID 0000-0003-2141-8636
Yuan LiaoDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.
Lei YanDepartment of Emergency Surgery, Henan Oilfield General Hospital, Nanyang, Henan, 473000, People's Republic of China.
Ruo FengDepartment of Histology and Embryology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.ORCID 0000-0002-6081-8635
Wenlong ZhaiDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China.ORCID 0000-0003-2559-2105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a major public health burden worldwide owing to high incidence and poor prognosis. Although numerous apoptotic genes were disclosed in HCC, the prognostic value and clinical utility of the genes remained unclear.

methodsThe differentially expressed genes (DEGs) were identified in the microarray and RNA sequencing data from public databases. The apoptosis-related differentially expressed genes (AR-DEGs) were selected to construct a Lasso-penalized Cox regression model. The signature including five apoptotic genes was used to calculate risk score. Then, the receiver operating characteristic (ROC) and survival analysis were conducted based on the signature. A nomogram containing the signature and clinical characteristics was plotted to visualized the prognosis prediction. Finally, the enrichment analysis was performed in the Gene Ontology (GO) to investigate the potential mechanism.

resultsPatients with high risk scores were related to worse overall survival than those with low risk. The 3-year and 5-year area under curve (AUC) values of the signature were above 0.7 in databases. And the nomogram presented reliable net benefits for the survival prediction. The nomogram was also tested by probability calibration curves and Decision Curve Analysis (DCA). Furthermore, the five differentially expressed genes were verified again in the HCC clinical specimens with real-time PCR and Western Blot.

conclusionCollectively, the present study formed a novel signature based on five apoptotic genes, and this possibly predicted prognosis and strengthened the communication with HCC patients about the likely treatment.

Indexed as

apoptosishepatocellular carcinomanomogramprognosissignature

Identifiers

PMID33688206
PMCPMC7936856

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