Strong expression of cyclin B2 mRNA correlates with a poor prognosis in patients with non-small cell lung cancer

Takashima, Shinogu; Saito, Hajime; Takahashi, Naoko; Imai, Kazuhiro; Kudo, Satoshi; Atari, Maiko; Saito, Yasutoshi; Motoyama, Satoru; Minamiya, Yoshihiro

doi:10.1007/s13277-013-1556-7

Cited by 34 publications

(30 citation statements)

References 36 publications

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“…Although the other genes have not yet been deeply studied in glioma, their expression is positively correlated with clinical grade glioma (Table I), which makes them potential therapeutic targets. Moreover, they participate in tumor progression in several cancers, including lung cancer and breast cancer (47)(48)(49)(50)(51)(52). This evidence further confirmed the tumor-promoting role of HOTAIR in glioma and other cancers.…”

Section: Discussionsupporting

confidence: 68%

HOTAIR upregulates an 18-gene cell cycle-related mRNA network in glioma

Huang

Sun²,

Yang

et al. 2017

International Journal of Oncology

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HOTAIR is a tumor promoting long non-coding RNA (lncRNA) with roles in multiple cancers. However, the role of HOTAIR in glioma has not been well charaterized. Genes that positively correlated with HOTAIR were identified from the Chinese Glioma Genome Atlas and constructed into an interacting network. In total, 18 genes with P-values <0.01 were further extracted and constructed into a subnetwork. Real-time PCR, western blot and immunofluorescence analyses were employed to examine the expression of the genes after HOTAIR overexpression or knockdown. Intracranial glioblastoma multiform (GBM) models were used to test the potential of HOTAIR as a glioma therapy target. It was discovered that the 18 genes that most significantly correlated with HOTAIR expression formed a cell cycle-related mRNA network, which is positively regulated by HOTAIR. Furthermore, HOTAIR knockdown inhibited mouse intracranial GBM model formation. HOTAIR positively regulates a cell cycle-related mRNA network in glioma, and could be a potential therapeutic target for treating glioma.

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Section: Discussionsupporting

confidence: 68%

HOTAIR upregulates an 18-gene cell cycle-related mRNA network in glioma

Huang

Sun²,

Yang

et al. 2017

International Journal of Oncology

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“…Overexpressed CDK5RAP3 and CCNB2 , as well as suppressed RAGE, may be promising biomarkers in lung adenocarcinoma [33]. The 5-year overall survival rates of LAC patients with low CCNB2 mRNA levels were significantly higher than that with high levels, and overexpressed CCNB2 mRNA can independently predict a poor prognosis in patients with LAC [34, 35]. Immunohistochemical analysis indicates AURKB , which mediates chromosome segregation during mitosis, is frequently overexpressed in primary lung carcinomas [36, 37].…”

Section: Discussionmentioning

confidence: 99%

Integrated Analysis of DNA Methylation and mRNA Expression Profiles Data to Identify Key Genes in Lung Adenocarcinoma

Jin

Liu

et al. 2016

BioMed Research International

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Introduction. Lung adenocarcinoma (LAC) is the most frequent type of lung cancer and has a high metastatic rate at an early stage. This study is aimed at identifying LAC-associated genes. Materials and Methods. GSE62950 downloaded from Gene Expression Omnibus included a DNA methylation dataset and an mRNA expression profiles dataset, both of which included 28 LAC tissue samples and 28 adjacent normal tissue samples. The differentially expressed genes (DEGs) were screened by Limma package in R, and their functions were predicted by enrichment analysis using TargetMine online tool. Then, protein-protein interaction (PPI) network was constructed using STRING and Cytoscape. Finally, LAC-associated methylation sites were identified by CpGassoc package in R and mapped to the DEGs to obtain LAC-associated DEGs. Results. Total 913 DEGs were identified in LAC tissues. In the PPI networks, MAD2L1, AURKB, CCNB2, CDC20, and WNT3A had higher degrees, and the first four genes might be involved in LAC through interaction. Total 8856 LAC-associated methylation sites were identified and mapped to the DEGs. And there were 29 LAC-associated methylation sites located in 27 DEGs (e.g., SH3GL2, BAI3, CDH13, JAM2, MT1A, LHX6, and IGFBP3). Conclusions. These key genes might play a role in pathogenesis of LAC.

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“…Overexpression of CCNB2 has been revealed in cancers such as breast cancer and lung cancer, and it has been reported as a poor prognostic factor [47,48]. In ACC, it is reported that CCNB2 is 5.6-to 14-fold more highly expressed compared with ACA by microarray analysis and that CCNB2 is overexpressed in more aggressive forms of ACC [35,49,50,51].…”

Section: Plos Onementioning

confidence: 99%

CCNB2 and AURKA overexpression may cause atypical mitosis in Japanese cortisol-producing adrenocortical carcinoma with TP53 somatic variant

et al. 2020

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Background Many genomic analyses of cortisol-producing adrenocortical carcinoma (ACC) have been reported, but very few have come from East Asia. The first objective of this study is to verify the genetic difference with the previous reports by analyzing targeted deep sequencing of 7 Japanese ACC cases using next-generation sequencing (NGS). The second objective is to compare the somatic variant findings identified by NGS analysis with clinical and pathological findings, aiming to acquire new knowledge about the factors that contribute to the poor prognosis of ACC and to find new targets for the treatment of ACC. Method DNA was extracted from ACC tissue of seven patients and two reference blood samples. Targeted deep sequencing was performed using the MiSeq system for 12 genes, and the obtained results were analyzed using MuTect2. The hypothesis was obtained by integrating the somatic variant findings with clinical and pathological data, and it was further verified using The Cancer Genome Atlas (TCGA) dataset for ACC. Results Six possible pathogenic and one uncertain significance somatic variants including a novel PRKAR1A (NM_002734.4):c.545C>A (p.T182K) variant were found in five of seven cases. By integrating these data with pathological findings, we hypothesized that cases with TP53 variants were more likely to show atypical mitotic figures. Using TCGA dataset, we found

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Strong expression of cyclin B2 mRNA correlates with a poor prognosis in patients with non-small cell lung cancer

Cited by 34 publications

References 36 publications

HOTAIR upregulates an 18-gene cell cycle-related mRNA network in glioma

HOTAIR upregulates an 18-gene cell cycle-related mRNA network in glioma

Integrated Analysis of DNA Methylation and mRNA Expression Profiles Data to Identify Key Genes in Lung Adenocarcinoma

CCNB2 and AURKA overexpression may cause atypical mitosis in Japanese cortisol-producing adrenocortical carcinoma with TP53 somatic variant

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