Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer

doi:10.1186/s12885-020-07598-3

科研成果详情

题名	Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer
作者	Cai, Luya 1; Hu, Chuan 2; Yu, Shanshan 3; Liu, Lixiao 1; Yu, Xiaobo 1; Chen, Jiahua1; Liu, Xuan1; Lin, Fan4; Zhang, Cheng 4; Li, Wenfeng3; Yan, Xiaojian1
发表日期	2020-11-23
发表期刊	BMC CANCER 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Cervical cancer Glycolysis Prognosis Gene signature
其他关键词	STROMA COMPARTMENTS ; CELL-PROLIFERATION ; TUMOR GLYCOLYSIS ; GENE-EXPRESSION ; SURVIVAL ; METASTASIS ; INHIBITION ; METABOLISM ; CYCLOOXYGENASE-2 ; STRESS
摘要	BackgroundCervical cancer (CC) is one of the most common gynaecological cancers. The gene signature is believed to be reliable for predicting cancer patient survival. However, there is no relevant study on the relationship between the glycolysis-related gene (GRG) signature and overall survival (OS) of patients with CC.MethodsWe extracted the mRNA expression profiles of 306 tumour and 13 normal tissues from the University of California Santa Cruz (UCSC) Database. Then, we screened out differentially expressed glycolysis-related genes (DEGRGs) among these mRNAs. All patients were randomly divided into training cohort and validation cohort according to the ratio of 7: 3. Next, univariate and multivariate Cox regression analyses were carried out to select the GRG with predictive ability for the prognosis of the training cohort. Additionally, risk score model was constructed and validated it in the validation cohort.ResultsSix mRNAs were obtained that were associated with patient survival. The filtered mRNAs were classified into the protective type (GOT1) and the risk type (HSPA5, ANGPTL4, PFKM, IER3 and PFKFB4). Additionally, by constructing the prognostic risk score model, we found that the OS of the high-risk group was notably poorer, which showed good predictive ability both in training cohort and validation cohort. And the six-gene signature is a prognostic indicator independent of clinicopathological features. Through the verification of PCR, the results showed that compared with the normal cervial tissuses, the expression level of six mRNAs were significantly higher in the CC tissue, which was consistent with our findings.ConclusionsWe constructed a glycolysis-related six-gene signature to predict the prognosis of patients with CC using bioinformatics methods. We provide a thorough comprehension of the effect of glycolysis in patients with CC and provide new targets and ideas for individualized treatment.
资助项目	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81503293]
出版者	BMC
出版地	LONDON
ISSN	1471-2407
EISSN	1471-2407
卷号	20 期号:1 页码:1133
DOI	10.1186/s12885-020-07598-3
页数	15
WOS类目	Oncology
WOS研究方向	Oncology
WOS记录号	WOS:000595792400007
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	33228592
PMC记录号	PMC7686733
SCOPUSEID	2-s2.0-85096380457
通讯作者地址	[Yan, Xiaojian]Department of Obstetrics and Gynecology,The First Affiliated Hospital of Wenzhou Medical University,2 Fuxue Road,Wenzhou,325000,China
Scopus学科分类	Oncology;Genetics;Cancer Research
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/16627
专题	附属第一医院附属第一医院_皮肤科
通讯作者	Yan, Xiaojian
作者单位	1.Department of Obstetrics and Gynecology,The First Affiliated Hospital of Wenzhou Medical University,2 Fuxue Road,Wenzhou,325000,China; 2.Department of Orthopaedic Surgery,The Affiliated Hospital of Qingdao University,Qingdao,266071,China; 3.Department of Chemoradiation Oncology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 4.Department of Dermatology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
第一作者单位	附属第一医院; 妇产科学; 第一临床医学院（信息与工程学院）、附属第一医院
通讯作者单位	附属第一医院; 妇产科学; 第一临床医学院（信息与工程学院）、附属第一医院
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Cai, Luya,Hu, Chuan,Yu, Shanshan,et al. Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer[J]. BMC CANCER,2020,20(1):1133.
APA	Cai, Luya., Hu, Chuan., Yu, Shanshan., Liu, Lixiao., Yu, Xiaobo., ... & Yan, Xiaojian. (2020). Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer. BMC CANCER, 20(1), 1133.
MLA	Cai, Luya,et al."Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer".BMC CANCER 20.1(2020):1133.