Upregulation of CDCA5 promotes gastric cancer malignant progression via influencing cyclin E1

Zhang, Zhengyuan; Shen, Mingyang; Guoliang, Zhou

doi:10.1016/j.bbrc.2018.01.046

Cited by 37 publications

(35 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Up to now, there is no direct evidence that CDCA5 relates to the initiation and development of any subtype of lung cancer. However, the role of CDCA5 has been confirmed in other cancers including hepatocellular cancer [30], breast cancer [31], gastric cancer [32], and colorectal cancer [33]. Accumulating studies showed that increased CDCA5 level was a diagnostic biomarker and risk factor for numerous cancers which could enhance the tumor cells' capability of proliferation and metastasis by oncogenic ERK5-AP-1 pathway [33,34].…”

Section: Discussionmentioning

confidence: 99%

Identifying Tumorigenesis and Prognosis-Related Genes of Lung Adenocarcinoma: Based on Weighted Gene Coexpression Network Analysis

Qin

et al. 2020

BioMed Research International

View full text Add to dashboard Cite

Lung adenocarcinoma is the most frequently diagnosed subtype of nonsmall cell lung cancer. The molecular mechanisms of the initiation and progression of lung adenocarcinoma remain to be further determined. This study aimed to screen genes related to the progression of lung adenocarcinoma. By weighted gene coexpression network analysis (WGCNA), we constructed a free-scale gene coexpression network to evaluate the correlations between multiple gene sets and patients’ clinical traits, then further identify predictive biomarkers. GSE11969 was obtained from the Gene Expression Omnibus (GEO) database which contained the gene expression data of 90 lung adenocarcinoma patients. Data of the Cancer Genome Atlas (TCGA) were employed as the validation cohort. After the average linkage hierarchical clustering, a total of 9 modules were generated. In the clinical significant module (R = 0.44, P<0.0001), we identified 29 network hub genes. Subsequent verification in the TCGA database showed that 11 hub genes (ANLN, CDCA5, FLJ21924, LMNB1, MAD2L1, RACGAP1, RFC4, SNRPD1, TOP2A, TTK, and ZWINT) were significantly associated with poor survival data of lung adenocarcinomas. Besides, the results of receiver operating characteristic curves indicated that the mRNA levels of this group of genes exhibited high specificity and sensitivity to distinguish malignant lesions from nonmalignant tissues. Apart from mRNA levels, we found that the protein abundances of these 11 genes were remarkably upregulated in lung adenocarcinomas compared with normal tissues. In conclusion, by the WGCNA method, a panel of 11 genes were identified as predictive biomarkers for tumorigenesis and poor prognosis of lung adenocarcinomas.

show abstract

Section: Discussionmentioning

confidence: 99%

Identifying Tumorigenesis and Prognosis-Related Genes of Lung Adenocarcinoma: Based on Weighted Gene Coexpression Network Analysis

Qin

et al. 2020

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Knockdown of CDK1 had been proven to induce G2/M blockade and the uncontrolled mitotic activity may enhance genomic instability, which may lead to abnormal proliferation of malignant cells [ 10 ]. In fact, upregulation of CDK1 was often been observed in many advanced tumors [ 27 – 29 ] and dysregulation of CDK1 contributed to the failure of traditional chemotherapy drugs to eradicate cancer [ 30 ]. All these results suggested CDCA5 and CDK1 were cancer-related genes.…”

Section: Discussionmentioning

confidence: 99%

Cyclin-Dependent Kinase 1 (CDK1) is Co-Expressed with CDCA5: Their Functions in Gastric Cancer Cell Line MGC-803

Huang

Zhang

et al. 2020

Med Sci Monit

View full text Add to dashboard Cite

“…Interestingly, co-expression of FOXM1 and CENPF is a robust prognostic indicator of poor survival and metastasis ( Aytes et al, 2014 ). CDCA5 was identified as a negative prognostic marker in bladder cancer, breast cancer, gastric cancer and hepatocellular carcinoma ( Chang et al, 2015 ; Phan et al, 2018 ; Shen et al, 2018 ; Zhang et al, 2018 ). ASPM played an important role in pancreatic tumor and glioma progression, in vascular invasion, early recurrence and poor prognosis of hepatocellular carcinoma and even represented a potential target for radiotherapy ( Lin et al, 2008 ; Bikeye et al, 2010 ; Kato et al, 2011 ; Wang et al, 2013 ).…”

Section: Discussionmentioning

confidence: 99%

Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma

et al. 2018

View full text Add to dashboard Cite

Adrenocortical carcinoma (ACC) is a rare malignancy with a poor prognosis. And currently, there are no specific diagnostic biomarkers for ACC. In our study, we aimed to screen biomarkers for disease diagnosis, progression and prognosis. We firstly used the microarray data from public database Gene Expression Omnibus database to construct a weighted gene co-expression network, and then to identify gene modules associated with clinical features of ACC. Though this algorithm, a significant module with R2 = 0.64 (P = 9 × 10-5) was identified. Co-expression network and protein–protein interaction network were performed for screen the candidate hub genes. Checked by The Cancer Genome Atlas (TCGA) database, another independent dataset GSE19750, and GEPIA database, using one-way ANOVA, Pearson’s correlation, survival analysis, diagnostic capacity (ROC curve) and expression level revalidation, a total 12 real hub genes were identified. Gene ontology and KEGG pathway analysis of genes in the significant module revealed that the hub genes are significantly enriched in cell cycle regulation. Moreover, gene set enrichment analysis suggests that the samples with highly expressed hub genes are correlated with cell cycle. Taken together, our integrated analysis has identified 12 hub genes that are associated with the progression and prognosis of ACC; these hub genes might lead to poor outcomes by regulating the cell cycle.

show abstract

Upregulation of CDCA5 promotes gastric cancer malignant progression via influencing cyclin E1

Cited by 37 publications

References 23 publications

Identifying Tumorigenesis and Prognosis-Related Genes of Lung Adenocarcinoma: Based on Weighted Gene Coexpression Network Analysis

Identifying Tumorigenesis and Prognosis-Related Genes of Lung Adenocarcinoma: Based on Weighted Gene Coexpression Network Analysis

Cyclin-Dependent Kinase 1 (CDK1) is Co-Expressed with CDCA5: Their Functions in Gastric Cancer Cell Line MGC-803

Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma

Contact Info

Product

Resources

About