Suppr超能文献

基于微阵列数据鉴定非小细胞肺癌潜在的诊断和预后生物标志物

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

作者信息

Huang Ru, Gao Lei

机构信息

Department of Heart Failure, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China.

Key Laboratory of Arrhythmias of The Ministry of Education of China, Research Institute of Heart Failure, Shanghai East Hospital, Dalian Medical University, Shanghai 200120, P.R. China.

出版信息

Oncol Lett. 2018 May;15(5):6436-6442. doi: 10.3892/ol.2018.8153. Epub 2018 Mar 1.

Abstract

Non-small cell lung cancer (NSCLC) is the most commonly diagnosed subtype of lung cancer, and the leading cause of cancer-associated mortalities worldwide. However, NSCLC is typically diagnosed at a late stage of disease due to a lack of effective diagnostic methods. In the present study, the GSE19804 dataset was obtained from the Gene Expression Omnibus, and a number of differentially expressed genes were identified between NSCLC and adjacent normal tissues. Based on functional and pathway enrichment analyses, five hub genes (cell-division cycle 20, centromere protein F, kinesin family member 2C, BUB1 mitotic checkpoint serine/threonine kinase and ZW10 interacting kinetochore protein) were selected. After verifying that the mRNA level of these hub genes was also upregulated in NSCLC tissues by using the GSE10072 dataset and in cell lines by reverse transcription-quantitative polymerase chain reaction. The diagnostic and prognostic potentials of these five gene candidates were evaluated using receiver operating characteristic curves and survival analyses. Taken together, the present study identified five candidates that are overexpressed in NSCLC tissues and could also serve as potential diagnostic and prognostic biomarkers for patients with NSCLC.

摘要

非小细胞肺癌(NSCLC)是最常见的肺癌诊断亚型,也是全球癌症相关死亡的主要原因。然而,由于缺乏有效的诊断方法,NSCLC通常在疾病晚期才被诊断出来。在本研究中,从基因表达综合数据库中获取了GSE19804数据集,并鉴定出NSCLC与相邻正常组织之间的一些差异表达基因。基于功能和通路富集分析,选择了五个核心基因(细胞分裂周期20、着丝粒蛋白F、驱动蛋白家族成员2C、BUB1有丝分裂检查点丝氨酸/苏氨酸激酶和ZW10相互作用动粒蛋白)。通过使用GSE10072数据集以及通过逆转录-定量聚合酶链反应在细胞系中验证这些核心基因的mRNA水平在NSCLC组织中也上调后,使用受试者工作特征曲线和生存分析评估了这五个候选基因的诊断和预后潜力。综上所述,本研究鉴定出五个在NSCLC组织中过表达的候选基因,它们也可作为NSCLC患者潜在的诊断和预后生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7113/5921217/12915130995b/ol-15-05-6436-g00.jpg

相似文献

1
Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data.
Oncol Lett. 2018 May;15(5):6436-6442. doi: 10.3892/ol.2018.8153. Epub 2018 Mar 1.
2
Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis.
Oncol Lett. 2019 Nov;18(5):4429-4440. doi: 10.3892/ol.2019.10796. Epub 2019 Sep 4.
4
Identification and validation of key genes associated with non-small-cell lung cancer.
J Cell Physiol. 2019 Dec;234(12):22742-22752. doi: 10.1002/jcp.28839. Epub 2019 May 24.
5
Identification of differentially expressed protein-coding genes in lung adenocarcinomas.
Exp Ther Med. 2020 Feb;19(2):1103-1111. doi: 10.3892/etm.2019.8300. Epub 2019 Dec 6.
7
Identification of differentially expressed genes in non-small cell lung cancer.
Aging (Albany NY). 2019 Dec 9;11(23):11170-11185. doi: 10.18632/aging.102521.
9
10

引用本文的文献

2
Lung Cancer Gene Regulatory Network of Transcription Factors Related to the Hallmarks of Cancer.
Curr Issues Mol Biol. 2023 Jan 5;45(1):434-464. doi: 10.3390/cimb45010029.
3
Identification of as a potential genetic biomarker for abdominal aortic aneurysm.
Front Cardiovasc Med. 2022 Dec 14;9:1061771. doi: 10.3389/fcvm.2022.1061771. eCollection 2022.
4
Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis.
Biology (Basel). 2022 Jul 20;11(7):1082. doi: 10.3390/biology11071082.
5
Integrative Analysis for Identification of Therapeutic Targets and Prognostic Signatures in Non-Small Cell Lung Cancer.
Bioinform Biol Insights. 2022 Apr 6;16:11779322221088796. doi: 10.1177/11779322221088796. eCollection 2022.
8
Exosomal hsa-miR-21-5p is a biomarker for breast cancer diagnosis.
PeerJ. 2021 Sep 17;9:e12147. doi: 10.7717/peerj.12147. eCollection 2021.
9
Caspase Recruitment Domain-Containing Protein 9 Expression is a Novel Prognostic Factor for Lung Adenocarcinoma.
Onco Targets Ther. 2020 Sep 10;13:9005-9013. doi: 10.2147/OTT.S265539. eCollection 2020.

本文引用的文献

1
Prognostic and predictive values of CDK1 and MAD2L1 in lung adenocarcinoma.
Oncotarget. 2016 Dec 20;7(51):85235-85243. doi: 10.18632/oncotarget.13252.
3
Anticancer effect of SZC015 on lung cancer cells through ROS-dependent apoptosis and autophagy induction mechanisms in vitro.
Int Immunopharmacol. 2016 Nov;40:400-409. doi: 10.1016/j.intimp.2016.09.026. Epub 2016 Sep 30.
4
Non-canonical functions of cell cycle cyclins and cyclin-dependent kinases.
Nat Rev Mol Cell Biol. 2016 May;17(5):280-92. doi: 10.1038/nrm.2016.27. Epub 2016 Apr 1.
5
Targeting Mitosis in Cancer: Emerging Strategies.
Mol Cell. 2015 Nov 19;60(4):524-36. doi: 10.1016/j.molcel.2015.11.006.
7
CCNB2 overexpression is a poor prognostic biomarker in Chinese NSCLC patients.
Biomed Pharmacother. 2015 Aug;74:222-7. doi: 10.1016/j.biopha.2015.08.004. Epub 2015 Aug 28.
8
Refining the treatment of NSCLC according to histological and molecular subtypes.
Nat Rev Clin Oncol. 2015 Sep;12(9):511-26. doi: 10.1038/nrclinonc.2015.90. Epub 2015 May 12.
10
Gene expression profile for predicting survival of patients with meningioma.
Int J Oncol. 2015 Feb;46(2):791-7. doi: 10.3892/ijo.2014.2779. Epub 2014 Nov 25.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验