Cell division cycle associated 5 promotes colorectal cancer progression by activating the ERK signaling pathway

Shen, Aling; Liu, Liya; Chen, Hongwei; Qi, Fei; Huang, Yue; Lin, Jiumao; Sferra, Thomas J.; Sankararaman, Senthilkumar; Wei, Lihui; Chu, Jianfeng; Chen, Youqin; Peng, Jun

doi:10.1038/s41389-019-0123-5

Cited by 39 publications

(42 citation statements)

References 38 publications

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“…CDCA5 was overexpressed in various tumors, studies have shown that high expression of CDCA5 in CRC may play an essential role in the progression of CRC by activating the ERK signaling pathway and may lead to poor prognosis. 52 Similar results have been found in patients with lung cancer. 53 CDCA5 was transcribed by E2F1 in hepatocytes, promotes tumorigenesis by enhancing cell proliferation and inhibiting apoptosis of hepatocellular carcinoma through the AKT pathway, and was significantly related to the poor prognosis of liver cancer patients.…”

Section: Discussionsupporting

confidence: 75%

Data mining combined with experiments to validate CEP55 as a prognostic biomarker in colorectal cancer

Kang

Zhu

Luo

et al. 2020

Immunity Inflam & Disease

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Introduction: Colorectal cancer (CRC) is a common tumor with high morbidity and mortality. Current specific diagnosis regarding CRC remains complicated and costly, and specific diagnostic biomarkers are lacking. Methods: To find potential diagnostic and prognostic biomarkers for CRC, we screened and analyzed many CRC sequencing data by The Cancer Genome Atlas Program and Gene Expression Omnibus, and validated that CEP55 may be a potential diagnostic biomarker for CRC by molecular cytological experiments and immunohistochemistry, among others. Results: We found that CEP55 is upregulated in CRC tissues and tumor cells and can promote CRC proliferation and metastasis by activating the p53/p21 axis and that CEP55 mutations in tumor patients result in worse overall survival and disease-free survival time. Besides, we also found that genes, such as CDK1, CCNB1, NEK2, KIF14, CDCA5, and RFC3 were upregulated in tumors, and their mutations would affect the prognosis of CRC patients, but these results await for more experimental evidence. Conclusion: Our study validates CEP55 as a potential diagnostic and prognostic biomarker for CRC, and we also provide multiple genes and potential molecular mechanisms that may serve as diagnostic and prognostic markers for CRC.

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Section: Discussionsupporting

confidence: 75%

Data mining combined with experiments to validate CEP55 as a prognostic biomarker in colorectal cancer

Kang

Zhu

Luo

et al. 2020

Immunity Inflam & Disease

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“…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]. LMNB1 (also termed as lamin B1) is the vital component of nuclear structure which locates between inner nuclear membrane and peripheral heterochromatin [35].…”

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

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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.

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“…Spindle pole body component 25 homolog (SPC25), a component of the NDC80 kinetochore complex, plays a crucial role in regulating mitotic chromosome segregation in prostate cancer (Liu et al, 2018). Cell division cycle-associated 5 (CDCA5) serves an important role in promoting colorectal cancer progression by activating the ERK signaling pathway (Shen et al, 2019). Additionally, CDCA5 could be associated with HCC (Tian et al, 2018), breast cancer (Phan et al, 2018), and lung carcinogenesis (Nguyen et al, 2010).…”

Section: Identification Of Targeted Genes In Hcc 773mentioning

confidence: 99%

Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses

Zheng

Zhang

Luo³

et al. 2019

Genetic Testing and Molecular Biomarkers

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Background: Hepatocellular carcinoma (HCC) is one of the most prevalent tumors worldwide. However, the key roles of most molecules associated with tumor proliferation, invasion, and metastasis in HCC remain unclear. It is therefore important to explore potential mechanisms underlying tumorigenesis and to screen genes and pathways identified from such research for their role in pathogenesis. Materials and Methods: We selected microarray data GSE62043 consisting of paired tissue samples from 100 HCC patients, then these data were analyzed to identify differentially expressed genes (DEGs). Next, gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out to elucidate the biological processes, molecular function, cellular component (CC), and KEGG signaling pathways for the DEGs. We then constructed protein-protein interaction (PPI) networks, followed by a functional enrichment analysis, from which we obtained two significant gene modules. Finally, the gene expression data obtained from this test set were subjected to validation studies using an independent set of hepatocellular patient data archived in The Cancer Genome Atlas and Genotype-Tissue Expression (TCGA/GTEx) database. Results: A total of 425 DEGs were identified that met both of our criteria for significance: (1) a jlog2-fold change (FC)j ‡ 1.2 and (2) an adjusted p value <0.01. From these data, two significant gene modules, containing 28 pathway-related hub genes, were identified. Conclusion: Through application of a test/validation algorithm using HCC datasets from two independent databases, we identified a number of genes that could serve as potential biomarkers for the molecular diagnosis and therapeutic intervention of HCC, including the known genes, IGF1, IGF2, NDC80, CDK1, CENPF, CDCA8, CCNB1, BIRC5, NCAPG, and CDCA5, and the novel genes, CENPU and SPC25, which are associated with cell cycle, mitotic cell cycle, and organelle organization.

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Cell division cycle associated 5 promotes colorectal cancer progression by activating the ERK signaling pathway

Cited by 39 publications

References 38 publications

Data mining combined with experiments to validate CEP55 as a prognostic biomarker in colorectal cancer

Data mining combined with experiments to validate CEP55 as a prognostic biomarker in colorectal cancer

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

Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses

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