Literature DB >> 32218868

Upregulation of ASPM, BUB1B and SPDL1 in tumor tissues predicts poor survival in patients with pancreatic ductal adenocarcinoma.

Xiong Tian1, Na Wang2.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains a major cause of cancer-associated mortality, with poor patient outcome. The present study aimed to identify key candidate genes and investigate the potential molecular mechanisms associated with the progression of PDAC. The GSE46234 dataset was downloaded from the Gene Expression Omnibus database, in order to identify the upregulated differentially expressed genes (DEGs) in PDAC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to determine the biological functions and pathways of the upregulated DEGs, and a protein-protein interaction (PPI) network was subsequently constructed to screen the hub genes. Subsequently, survival analyses of the hub genes were undertaken in patients with PDAC, using The Cancer Genome Atlas dataset. Reverse transcription-quantitative (RT-q)PCR analysis was performed to assess the mRNA expression levels of the hub genes associated with the prognosis of patients with PDAC. In the present study, 65 upregulated DEGs were identified. GO analysis suggested that the DEGs were enriched in response to hypoxia, calcium ion and negative regulation of catecholamine. KEGG analysis demonstrated that the DEGs were enriched in gastric acid secretion, the ECM-receptor interaction and the cGMP-PKG signaling pathway. Among the 18 hub genes determined by module screening of the PPI network, upregulation of three key genes, abnormal spindle-like microcephaly-associated protein (ASPM), mitotic checkpoint serine/threonine-protein kinase BUB1 β (BUB1B) and protein spindly (SPDL1), was significantly associated with worse overall survival and disease-free survival time in patients with PDAC. Furthermore, ASPM, BUB1B and SPDL1 were demonstrated to be associated with advanced tumor stage, and their upregulation in PDAC tumor tissues was validated using RT-qPCR analysis. Taken together, the results of the present study demonstrate that ASPM, BUB1B and SPDL1 may have the potential to function as prognostic markers and therapeutic targets for PDAC. Copyright: © Tian et al.

Entities:  

Keywords:  bioinformatics analysis; differentially expressed gene; pancreatic ductal adenocarcinoma; prognostic markers

Year:  2020        PMID: 32218868      PMCID: PMC7068710          DOI: 10.3892/ol.2020.11414

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  6 in total

1.  SPDL1 Overexpression Is Associated With the 18F-FDG PET/CT Metabolic Parameters, Prognosis, and Progression of Esophageal Cancer.

Authors:  Hua-Song Liu; Qiang Guo; Heng Yang; Min Zeng; Li-Qiang Xu; Qun-Xian Zhang; Hua Liu; Jia-Long Guo; Jun Zhang
Journal:  Front Genet       Date:  2022-05-18       Impact factor: 4.772

2.  Pan-cancer analysis combined with experiments explores the oncogenic role of spindle apparatus coiled-coil protein 1 (SPDL1).

Authors:  Peng Song; Dilinaer Wusiman; Fenglan Li; Xiaoxuan Wu; Lei Guo; Wenbin Li; Shugeng Gao; Jie He
Journal:  Cancer Cell Int       Date:  2022-01-29       Impact factor: 5.722

3.  SPDL1 Is an Independent Predictor of Patient Outcome in Colorectal Cancer.

Authors:  Anna Klimaszewska-Wiśniewska; Karolina Buchholz; Justyna Durślewicz; Emilly Schlee Villodre; Maciej Gagat; Dariusz Grzanka
Journal:  Int J Mol Sci       Date:  2022-02-05       Impact factor: 5.923

4.  Identification of the Key Genes Involved in the Tumorigenesis and Prognosis of Prostate Cancer.

Authors:  Wenxuan Wang; Qinghui Wu; Ali Mohyeddin; Yousheng Liu; Zhitao Liu; Jianqiang Ge; Bao Zhang; Gan Shi; Weifu Wang; Dinglan Wu; Fei Wang
Journal:  Comput Math Methods Med       Date:  2022-10-05       Impact factor: 2.809

5.  ASPM promotes homologous recombination-mediated DNA repair by safeguarding BRCA1 stability.

Authors:  Shibin Xu; Xingxuan Wu; Peipei Wang; Sheng-Li Cao; Bin Peng; Xingzhi Xu
Journal:  iScience       Date:  2021-05-12

6.  Systematically integrative analysis identifies diagnostic and prognostic candidates and small-molecule drugs for lung adenocarcinoma.

Authors:  Qiang Chen; Xiaoyi Wang; Jing Hu
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.