Synergistic Effect of Bcl-2 and Cyclin A2 on Adverse Recurrence-Free Survival in Stage I Non-small Cell Lung Cancer

Ko, Eunkyung; Kim, Yujin; Cho, Eun Yoon; Han, Jungho; Shim, Young Mog; Park, Joobae; Kim, Duk-Hwan

doi:10.1245/s10434-012-2727-2

Cited by 33 publications

(29 citation statements)

References 21 publications

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“…CCNA2 belongs to a highly conserved cyclin family and is expressed in almost all tissues of the human body ( 53 ). The encoded protein is crucial in the control of the cell cycle at G1/S and G2/M transition points, and this is essential in embryonic cells and the hematopoietic lineage ( 54 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of key genes in glioblastoma-associated stromal cells using bioinformatics analysis

et al. 2016

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The aim of the present study was to identify key genes and pathways in glioblastoma-associated stromal cells (GASCs) using bioinformatics. The expression profile of microarray GSE24100 was obtained from the Gene Expression Omnibus database, which included the expression profile of 4 GASC samples and 3 control stromal cell samples. Differentially expressed genes (DEGs) were identified using limma software in R language, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis of DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery software. In addition, a protein-protein interaction (PPI) network was constructed. Subsequently, a sub-network was constructed to obtain additional information on genes identified in the PPI network using CFinder software. In total, 502 DEGs were identified in GASCs, including 331 upregulated genes and 171 downregulated genes. Cyclin-dependent kinase 1 (CDK1), cyclin A2, mitotic checkpoint serine/threonine kinase (BUB1), cell division cycle 20 (CDC20), polo-like kinase 1 (PLK1), and transcription factor breast cancer 1, early onset (BRCA1) were identified from the PPI network, and sub-networks revealed these genes as hub genes that were involved in significant pathways, including mitotic, cell cycle and p53 signaling pathways. In conclusion, CDK1, BUB1, CDC20, PLK1 and BRCA1 may be key genes that are involved in significant pathways associated with glioblastoma. This information may lead to the identification of the mechanism of glioblastoma tumorigenesis.

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Section: Discussionmentioning

confidence: 99%

Identification of key genes in glioblastoma-associated stromal cells using bioinformatics analysis

et al. 2016

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“…CCNA2 (also known as CyclinA2) belongs to the highly conserved cyclin family and is expressed in almost all tissues in human body[12]. It plays critical roles in the control of cell cycle at the G1/S and the G2/M transitions and is essential in embryonic cells and in the hematopoietic lineage[13].…”

Section: Introductionmentioning

confidence: 99%

CCNA2 Is a Prognostic Biomarker for ER+ Breast Cancer and Tamoxifen Resistance

et al. 2014

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Identification of effective prognostic biomarkers and targets are of crucial importance to the management of estrogen receptor positive (ER+) breast cancer. CCNA2 (also known as CyclinA2) belongs to the highly conserved cyclin family and is significantly overexpressed in various cancer types. In this study, we demonstrated that CCNA2 had significant predictive power in distant metastasis free survival, disease free survival, recurrence free survival and overall survival of ER+ breast cancer patients. We also found that CCNA2 was closely associated with tamoxifen resistance. In addition, gene set enrichment analysis (GSEA) revealed that its expression was positively associated with genes overexpressed in endocrine therapy resistant samples. Finally, though CCNA2-Drug interaction network, we demonstrated the interactions between CCNA2 and several available cancer drugs. Overall, we suggest that CCNA2 is a biomarker for the prognosis of ER+ breast cancer and monitoring of tamoxifen efficacy. It's also a promising target for developing new strategies to prevent or even reverse tamoxifen resistance. Moreover, CCNA2 expression may help monitoring tamoxifen efficacy and directing personalized therapies. Nevertheless, in vivo and in vitro experiments and multi-center randomized controlled clinical trials are still needed before its application in clinical settings.

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“…The protein encoded by CCNA2 belongs to the highly conserved cyclin family, whose members function as regulators of the cell cycle at the G1/S and the G2/M transitions [34]. CCNA2 is overexpressed in several human cancers and closely related to tumor progression and shorter survival in lung, breast, and colorectal cancer [35][36][37][38][39][40][41]. CCNA2 overexpression was an indicator of poor prognosis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Novel Hub Genes Associated With Gastric Cancer Using Integrated Bioinformatics Analysis

Zhang

Qiao

et al. 2020

Preprint

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Background: Gastric cancer (GC) is one of the most common solid malignant tumors worldwide with a high-recurrence-rate. Identifying the molecular signatures and specific biomarkers of GC might provide novel clues for GC prognosis and targeted therapy.Methods: Gene expression profiles were obtained from the ArrayExpress and Gene Expression Omnibus database. Differentially expressed genes (DEGs) were picked out by R software. The hub genes were screened by cytoHubba plugin. Their prognostic values were assessed by Kaplan–Meier survival analyses and the gene expression profiling interactive analysis (GEPIA). Finally, qRT-PCR in GC tissue samples was established to validate these DEGs. Results: Total of 295 DEGs were identified between GC and their corresponding normal adjacent tissue samples in E-MTAB-1440, GSE79973, GSE19826, GSE13911, GSE27342, GSE33335 and GSE56807 datasets, including 117 up-regulated and 178 down-regulated genes. Among them, 7 vital upregulated genes (HMMR, SPP1, FN1, CCNB1, CXCL8, MAD2L1 and CCNA2) were selected. Most of them had a significantly worse prognosis except SPP1. Using qRT-PCR, we validated that their transcriptions in our GC tumor tissue were upregulated except SPP1 and FN1, which correlated with tumor relapse and predicts poorer prognosis in GC patients.Discussion: We have identified 5 upregulated DEGs (HMMR, CCNB1, CXCL8, MAD2L1, and CCNA2) in GC patients with poor prognosis using integrated bioinformatical methods, which could be potential biomarkers and therapeutic targets for GC treatment.

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Synergistic Effect of Bcl-2 and Cyclin A2 on Adverse Recurrence-Free Survival in Stage I Non-small Cell Lung Cancer

Abstract: Negative effect of cyclin A2 on RFS in stage I NSCLC was aggravated by negative expression of Bcl-2.

Cited by 33 publications

References 21 publications

Identification of key genes in glioblastoma-associated stromal cells using bioinformatics analysis

Identification of key genes in glioblastoma-associated stromal cells using bioinformatics analysis

CCNA2 Is a Prognostic Biomarker for ER+ Breast Cancer and Tamoxifen Resistance

Identification of Novel Hub Genes Associated With Gastric Cancer Using Integrated Bioinformatics Analysis

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