Hormone and Metabolic Research, Table of Contents

CC BY-NC-ND 4.0 · Horm Metab Res 2023; 55(06): 420-425
DOI: 10.1055/a-2007-2715

Original Article: Endocrine Research

Screening of Therapeutic Targets for Pancreatic Cancer by Bioinformatics Methods

Xiaojie Xiao

¹Department of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Xiamen University, Xiamen, China

,

Zheng Wan

¹Department of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Xiamen University, Xiamen, China

,

Xinmei Liu

²Animal and Plant Inspection and Quarantine Technology Center Shenzhen Customs, Shenzhen Haiguan, Shenzhen, China

,

Huaying Chen

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Xiaoyan Zhao

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Rui Ding

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Yajun Cao

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Fangyuan Zhou

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Enqi Qiu

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Wenrong Liang

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Juanjuan Ou

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Yifeng Chen

³Zhongshan Hospital of Xiamen University, Zhongshan Hospital Xiamen University, Xiamen, China

,

Xueting Chen

⁴Wanbei Coal and Electricity Group General Hospital, Suzhou, China

,

Hongjian Zhang

¹Department of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Xiamen University, Xiamen, China

› Author Affiliations

Abstract

Pancreatic cancer (PC) has the lowest survival rate and the highest mortality rate among all cancers due to lack of effective treatments. The objective of the current study was to identify potential therapeutic targets in PC. Three transcriptome datasets, namely GSE62452, GSE46234, and GSE101448, were analyzed for differentially expressed genes (DEGs) between cancer and normal samples. Several bioinformatics methods, including functional analysis, pathway enrichment, hub genes, and drugs were used to screen therapeutic targets for PC. Fisher’s exact test was used to analyze functional enrichments. To screen DEGs, the paired t-test was employed. The statistical significance was considered at p <0.05. Overall, 60 DEGs were detected. Functional enrichment analysis revealed enrichment of the DEGs in “multicellular organismal process”, “metabolic process”, “cell communication”, and “enzyme regulator activity”. Pathway analysis demonstrated that the DEGs were primarily related to “Glycolipid metabolism”, “ECM-receptor interaction”, and “pathways in cancer”. Five hub genes were examined using the protein-protein interaction (PPI) network. Among these hub genes, 10 known drugs targeted to the CPA1 gene and CLPS gene were found. Overall, CPA1 and CLPS genes, as well as candidate drugs, may be useful for PC in the future.

Key words

Key words

pancreatic cancer - differentially expressed genes - targets - bioinformatics - treatment

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Supplementary Material

Supplementary Material

Supplementary Material