Literature DB >> 26349989

CCNB2 overexpression is a poor prognostic biomarker in Chinese NSCLC patients.

Xiaotao Qian1, Xuekun Song2, Yuan He1, Zhiyong Yang3, Tao Sun4, Jing Wang5, Guiqi Zhu6, Weihai Xing7, Changxuan You8.   

Abstract

Cyclin B2 (CCNB2), a member of cyclin family proteins, serves a key role in progression of G2/M transition. The clinical value of CCNB2 in non-small cell lung cancer is still unknown. The aim of our study is to identify the role of CCNB2 in NSCLC patients. The status of CCNB2 in NSCLC tissues and normal lung tissues was observed in Gene Expression Omnibus (GEO: GSE19804). CCNB2 mRNA and protein expressions were detected in NSCLC and normal lung tissues by using Real-time PCR and immunohistochemistry. The association of CCNB protein expression with clinical characteristics of 186 NSCLC patients was analyzed by immunohistochemistry. Based on microarray data (GEO: GSE19804), we observed that CCNB2 was significantly overexpressed in NSCLC tissues compared with paired adjacent normal lung tissue. Furthermore, we verified mRNA and protein levels of CCNB2 expression were both increased in NSCLC tissues. We found high levels of CCNB2 protein were positively associated with the status of differentiated degree, tumor size, lymph node metastasis, distant metastasis, and clinical stage. Meanwhile, CCNB2 protein overexpression was an independent unfavorable prognostic factor for the overall survival of patients with NSCLC. In conclusion, overexpression of CCNB2 protein is associated with clinical progression and poor prognosis in NSCLC.
Copyright © 2015. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Biomarker; CCNB2; NSCLC; Prognosis

Mesh:

Substances:

Year:  2015        PMID: 26349989     DOI: 10.1016/j.biopha.2015.08.004

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  47 in total

1.  Upregulation of Cyclin B2 (CCNB2) in breast cancer contributes to the development of lymphovascular invasion.

Authors:  Abrar I Aljohani; Michael S Toss; Khloud A El-Sharawy; Sameer Mirza; Graham R Ball; Andrew R Green; Emad A Rakha
Journal:  Am J Cancer Res       Date:  2022-02-15       Impact factor: 6.166

2.  Bioinformatics analysis reveals three key genes and four survival genes associated with youth-onset NSCLC.

Authors:  Xuan Han; Peng Ren; Shaohua Ma
Journal:  Open Med (Wars)       Date:  2022-07-06

3.  Screening of potential biomarkers and their predictive value in early stage non-small cell lung cancer: a bioinformatics analysis.

Authors:  Hongbin Tu; Meihong Wu; Weiling Huang; Lixin Wang
Journal:  Transl Lung Cancer Res       Date:  2019-12

4.  Prognostic and predictive values of CDK1 and MAD2L1 in lung adenocarcinoma.

Authors:  Yuan-Xiang Shi; Tao Zhu; Ting Zou; Wei Zhuo; Yi-Xin Chen; Ma-Sha Huang; Wei Zheng; Chen-Jing Wang; Xi Li; Xiao-Yuan Mao; Wei Zhang; Hong-Hao Zhou; Ji-Ye Yin; Zhao-Qian Liu
Journal:  Oncotarget       Date:  2016-12-20

5.  Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data.

Authors:  Ru Huang; Lei Gao
Journal:  Oncol Lett       Date:  2018-03-01       Impact factor: 2.967

6.  The Identification of Core Gene Expression Signature in Hepatocellular Carcinoma.

Authors:  Ning Li; Ling Li; Yongshun Chen
Journal:  Oxid Med Cell Longev       Date:  2018-05-27       Impact factor: 6.543

7.  Systems biology comprehensive analysis on breast cancer for identification of key gene modules and genes associated with TNM-based clinical stages.

Authors:  Elham Amjad; Solmaz Asnaashari; Babak Sokouti; Siavoush Dastmalchi
Journal:  Sci Rep       Date:  2020-07-02       Impact factor: 4.379

8.  miR-335-5p Regulates Cell Cycle and Metastasis in Lung Adenocarcinoma by Targeting CCNB2.

Authors:  Xiyong Wang; Huaiqing Xiao; Dongqiang Wu; Dongliang Zhang; Zhihao Zhang
Journal:  Onco Targets Ther       Date:  2020-06-30       Impact factor: 4.147

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

Authors:  Xiang Jin; Xingang Liu; Xiaodan Li; Yinghui Guan
Journal:  Biomed Res Int       Date:  2016-08-17       Impact factor: 3.411

10.  Identification of genes and pathways in nasopharyngeal carcinoma by bioinformatics analysis.

Authors:  Fang Chen; Congxiang Shen; Xiaoqi Wang; Huigang Wang; Yanhui Liu; Chaosheng Yu; Jieyu Lv; Jingjing He; Zhong Wen
Journal:  Oncotarget       Date:  2017-07-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.