Literature DB >> 33437202

Integrate analysis of the promote function of Cell division cycle-associated protein family to pancreatic adenocarcinoma.

Chen Xing1, Zhenglin Wang2, Yating Zhu1, Chao Zhang1, Miao Liu1, Xianyu Hu2, Wei Chen2, Yinan Du1.   

Abstract

Background: The cell division cycle-associated (CDCA) protein family plays a pivotal role in the regulation of the cell cycle during tumorigenesis and predicts the prognosis of tumors, but an analysis of these proteins in pancreatic adenocarcinoma (PAAD) is still lacking.
Methods: Oncomine and GEPIA were used to observe the expression and prognostic value of eight CDCAs in pan-cancer. Univariate Cox analysis of single CDCAs and multivariate Cox analysis of all eight CDCAs were performed to evaluate the integrated prognostic value of CDCAs, and the results are displayed as hazard ratios (HRs) and 95% confidence intervals (95% CIs). K-M plots and receiver operating characteristics curves were used to display the predicted function and accuracy of CDCAs to determine the risk score. Annotation of CDCA-related genes, gene sets enrichment analysis (GSEA) and gene sets variation analysis (GSVA) were performed to reveal the CDCAs that impact biological processes.
Results: CDCAs expression in most tumors is higher than that in normal tissues and is associated with a poor prognosis. Regarding PAAD, increased CDCA expression along with advanced PAAD tumor stage, NUF2, CDCA2, CDCA3, CDCA4 and CDCA5 expression are risk factors for poor prognosis, while CBX2 expression is a protective factor (P < 0.05). The integrated prognostic value of CDCAs in PAAD patients was validated by SurvExpress in the TCGA-PAAD cohort (P < 0.001, HR = 2.16, 95% CI = 1.41-3.3) and the ICGC-PACA cohort (P < 0.001, HR = 2.56, 95% CI = 1.73-3.79). Genetic alteration and DNA methylation of CDCAs might not affect the prognosis of PAAD patients. After comparing high- and low-risk groups separated by CDCA risk scores, the activated pathways were revealed and included the cell cycle, DNA repair, P53, MYC-targets, E2F-targets and PI3K pathways.
Conclusion: CDCAs can predict the OS prognosis of PAAD patients. The cell cycle, DNA repair, E2F, P53 and PI3K signaling pathways, in which CDCAs are involved, impact the tumorigenesis of PAAD. © The author(s).

Entities:  

Year:  2021        PMID: 33437202      PMCID: PMC7797531          DOI: 10.7150/ijms.53243

Source DB:  PubMed          Journal:  Int J Med Sci        ISSN: 1449-1907            Impact factor:   3.738


  43 in total

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3.  MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data.

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Journal:  Epigenomics       Date:  2017-12-21       Impact factor: 4.778

4.  Transcriptional co-factor CDCA4 participates in the regulation of JUN oncogene expression.

Authors:  Moe Tategu; Hiroki Nakagawa; Reiko Hayashi; Kenichi Yoshida
Journal:  Biochimie       Date:  2008-06-03       Impact factor: 4.079

5.  Peritoneal Lavage Tumor DNA as a Novel Biomarker for Predicting Peritoneal Recurrence in Pancreatic Ductal Adenocarcinoma.

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Journal:  Ann Surg Oncol       Date:  2020-09-01       Impact factor: 5.344

6.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

Authors:  Ethan Cerami; Jianjiong Gao; Ugur Dogrusoz; Benjamin E Gross; Selcuk Onur Sumer; Bülent Arman Aksoy; Anders Jacobsen; Caitlin J Byrne; Michael L Heuer; Erik Larsson; Yevgeniy Antipin; Boris Reva; Arthur P Goldberg; Chris Sander; Nikolaus Schultz
Journal:  Cancer Discov       Date:  2012-05       Impact factor: 39.397

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
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Review 8.  Epidemiology of Pancreatic Cancer: Global Trends, Etiology and Risk Factors.

Authors:  Prashanth Rawla; Tagore Sunkara; Vinaya Gaduputi
Journal:  World J Oncol       Date:  2019-02-26

9.  GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis.

Authors:  Zefang Tang; Boxi Kang; Chenwei Li; Tianxiang Chen; Zemin Zhang
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

10.  CDCA3 mediates p21-dependent proliferation by regulating E2F1 expression in colorectal cancer.

Authors:  Wenwei Qian; Zhiyuan Zhang; Wen Peng; Jie Li; Qiou Gu; Dongjian Ji; Qingyuan Wang; Yue Zhang; Bing Ji; Sen Wang; Dongsheng Zhang; Yueming Sun
Journal:  Int J Oncol       Date:  2018-08-23       Impact factor: 5.650

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  4 in total

1.  Silencing oncogene cell division cycle associated 5 induces apoptosis and G1 phase arrest of non-small cell lung cancer cells via p53-p21 signaling pathway.

Authors:  Wei Shen; Dimin Tong; Jie Chen; Hongxiang Li; Zeyang Hu; Shuguang Xu; Sufang He; Zhen Ge; Jianan Zhang; Qiqi Mao; Hang Chen; Guodong Xu
Journal:  J Clin Lab Anal       Date:  2022-04-04       Impact factor: 3.124

2.  Cell Division Cycle-Associated Genes Are Potential Immune Regulators in Nasopharyngeal Carcinoma.

Authors:  Danxian Jiang; Yin Li; Jinxin Cao; Lianghe Sheng; Xinhai Zhu; Meng Xu
Journal:  Front Oncol       Date:  2022-02-14       Impact factor: 6.244

3.  Pan-cancer analysis identifies CDCA3 as a novel prognostic marker associated with immune infiltration in lung adenocarcinoma through bioinformatics analysis.

Authors:  Hao Yang; Xueqiang Wei; Liren Zhang; Li Xiang; Ping Wang
Journal:  Transl Cancer Res       Date:  2022-08       Impact factor: 0.496

4.  Bioinformatics analysis of the clinical relevance of CDCA gene family in prostate cancer.

Authors:  Peng Gu; Dongrong Yang; Jin Zhu; Minhao Zhang; Xiaoliang He
Journal:  Medicine (Baltimore)       Date:  2022-02-04       Impact factor: 1.817

  4 in total

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