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Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer
Joint Authors
Zhang, Zhiqiang
Gu, Jiangning
Yin, Menghong
Wang, Di
Ma, Chi
Du, Jian
Lin, Zhikun
Hu, Siling
Wang, Xuelong
Li, Ying
Tan, Guang
Luo, Haifeng
Wei, Gang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-16
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Pancreatic cancer remains a lethal type of cancer with poor prognosis.
Molecular classification enables in-depth, precise prognostic assessment.
This study is aimed at identifying a robust and simple mRNA signature to predict the overall survival (OS) of pancreatic cancer (PC) patients.
Differentially expressed genes (DEGs) between 45 paired pancreatic tumor samples and adjacent healthy tissues were selected.
For risk determination, a LASSO Cox regression model with DEGs was used to generate the OS-associated risk score formula for the training cohort containing 177 PC patients.
Another five independent datasets were used as the testing cohort to determine the predictive efficiency for further validation.
In total, 441 DEGs were selected after considering the enrichment of classical pathways, such as EMT, cell cycle, cell adhesion, and PI3K-AKT.
A five-gene signature for risk discrimination was established with high efficacy using LASSO Cox regression in the training group.
External validation showed that patients identified by the gene expression signature to be in the high-risk group had poorer prognosis compared with the low-risk patients.
Further investigation identified the differential epigenetic modification patterns of the five genes, which indicated their roles in tumor progression and their effect on therapy.
In conclusion, we constructed a robust five-gene expression signature that could predict the OS of PC patients, offering a new insight for risk discrimination in daily clinical practice.
American Psychological Association (APA)
Zhang, Zhiqiang& Gu, Jiangning& Yin, Menghong& Wang, Di& Ma, Chi& Du, Jian…[et al.]. 2020. Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer. BioMed Research International،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1131719
Modern Language Association (MLA)
Zhang, Zhiqiang…[et al.]. Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer. BioMed Research International No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1131719
American Medical Association (AMA)
Zhang, Zhiqiang& Gu, Jiangning& Yin, Menghong& Wang, Di& Ma, Chi& Du, Jian…[et al.]. Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1131719
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131719