[1]李 蓉,郑 浪,任喜梅,等.基于随机矩阵理论分析乳腺癌基因网络[J].江西师范大学学报(自然科学版),2020,(05):495-500.[doi:10.16357/j.cnki.issn1000-5862.2020.05.08]
 LI Rong,ZHENG Lang,REN Ximei,et al.The Study of Breast Cancer Gene Network Based on Random Matrix Theory[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(05):495-500.[doi:10.16357/j.cnki.issn1000-5862.2020.05.08]
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基于随机矩阵理论分析乳腺癌基因网络()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年05期
页码:
495-500
栏目:
生命科学
出版日期:
2020-10-20

文章信息/Info

Title:
The Study of Breast Cancer Gene Network Based on Random Matrix Theory
文章编号:
1000-5862(2020)05-0495-06
作者:
李 蓉1郑 浪2任喜梅1刘超飞3
1.华东交通大学理工学院,江西 南昌 330100; 2.江西省教育考试院,江西 南昌 330038; 3.江西理工大学理学院物理电子系,江西 赣州 341000
Author(s):
LI Rong1ZHENG Lang2REN Ximei1LIU Chaofei3
1.Institute of Technology,East China Jiaotong University,Nanchang Jiangxi 330100,China; 2.Jiangxi Provincial Education Examination Authority,Nanchang Jiangxi 330038,China; 3.Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China
关键词:
随机矩阵理论 乳腺癌 基因共表达网络 模块 靶向基因
Keywords:
random matrix theory breast cancer gene co-expression network module targeted gene
分类号:
O 411; Q 6-33; R 73
DOI:
10.16357/j.cnki.issn1000-5862.2020.05.08
文献标志码:
A
摘要:
利用随机矩阵理论分析乳腺癌基因微阵列数据,得到乳腺癌基因共表达网络,找出乳腺癌基因共表达网络中重要的增殖模块和免疫模块,并预测基因PMSCL1与乳腺癌细胞的增殖、侵袭及迁移有关,基因CCAN2与乳腺癌细胞的有丝分裂有关,基因SCYA5与乳腺癌细胞的免疫应答有关,基因PRC1、RAB31、INHBA可作为乳腺癌的靶向基因.
Abstract:
By using random matrix theory,the breast cancer gene microarray data is analyzed.The proliferation and immune modules of breast cancer gene are found out from breast cancer gene express network.Meanwhile,it is shown that the gene PMSCL1 is related to breast cancer cell proliferation,invasion and migration,gene CCAN2 is related to the Mitosis of breast cancer cells,gene SCYA5 is related to immune response of breast cancer cells and gene PRC1,RAB31 and INHBA can be used as targeted genes for breast cancer treatment.

参考文献/References:

[1] Siegel R L,Miller K D,Jemal A.Cancer statistics,2020[J].CA:A Cancer Journal for Clinicians,2020,70(1):7-30.
[2] Lei Fan,Kathrin S W,Jun Jieli,et al.Breast cancer in China[J].Oncology,2014,15(7):e279-e289.
[3] 吴样平,郭飞,曾明华.基于复杂网络的城市综合交通网络特征分析与优化研究[J].江西师范大学学报:自然科学版,2015,39(3):326-330.
[4] Schena M,Shalon D,Davis R W,et al.Quantitative monitoring of gene expression patterns with a complementary DNA microarray[J].Science,1995,270(5235):467-470.
[5] 于凤英,杨志豪,林鸿飞.基于拓扑和生物特征的权重网络中络合物抽取[J].江西师范大学学报:自然科学版,2013,37(3):273-278.
[6] Luo Feng,Zhong Jianxin,Yang Yunfeng,et al.Application of random matrix theory to microarray data for discovering functional gene modules[J].Physical Review E,2006,73(3):031924.
[7] Luo Feng,Zhong Jianxin,Yang Yunfeng,et al.Application of random matrix theory to biological networks[J].Physics Letter A,2006,357(6):420-423.
[8] Luo Feng,Yang Yunfeng,Zhong Jianxin,et al.Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory[J].BMC Bioinformatics,2007,8:299.
[9] Ayumi K.Random matrix analysis for gene interaction networks in cancer cells[J].Scientific Reports,2018,8(7):10607.
[10] Chen Jian,Zhang Kaiwan,Zhong Jianxin.Identifying functional modules of diffuse large B-cell lymphoma gene co-expression networks by hierarchical clustering method based on random matrix theory[J].Nano Biomedicine and Engineering,2011,3(1):57-64.
[11] 李蓉,郑浪,任喜梅,等.基于随机矩阵理论及层次聚类方法在肝癌基因网络中的研究[J].湘潭大学学报:自然科学版,2019,41(2):55-60.
[12] Shuryak E V,Verbaarschot J J M.Random matrix theory and spectral sum rules for the Dirac operator in QCD[J].Nuclear Physics A,1993,560(1):306-320.
[13] Zhong Jianxin,Geisel T.Level fluctuations in quantum systems with multifractal eigenstates[J].Physical Review E,1999,59(4):4071-4074.
[14] 李蓉,颜平兰,陈建,等.随机矩阵理论在肺癌基因网络识别中的应用[J].物理学报,2009,58(10):6703-6708.
[15] Kwapien J,Drozdz S,Oswiecimka P.The bulk of the stock market correlation matrix is not pure noise[J].Physica A,2006,359(1):589-606.
[16] 谢赤,胡钰,王钢金.基于随机矩阵理论的股市网络拓扑性质研究[J].运筹与管理,2018,27(1):144-152.
[17] Theocharidis A,Dongen S V,Enright A J.Network visualisation and analysis of gene expression data using biolayout[J].Nature Protocol,2009,4(10):1535-1550.
[18] He Lingfeng,Yang Huan,Zhou Shiying,et al.Synergistic antitumor effect of combined paclitaxel with FEN1 inhibitor in cervical cancer cells[J].DNA Repair,2018,63(3):1-9.
[19] Kurita K,Maeda M,Mansour M,et al.TRIP13 is expressed in colorectal cancer and promotes cancer cell invasion[J].Oncology Letters,2016,12(6):5240-5246.
[20] Zhang Xiaohui,Zhao fangbo,Zhang Shunjun,et al.Ectopic high expression of E2-EPF ubiquitin carrier protein indicates a more unfavorable prognosis in brain glioma[J].Genetic Testing and Molecular Biomarkers,2017,21(4):242-247.
[21] Wang Jingnan,Zhang Zhirong,Che Yun,et al.Acetyl-macrocalin B,an ent-kaurane diterpenoid,initiates apoptosis through the ROS-p38-caspase 9-dependent pathway and induces G2/M phase arrest via the Chk1/2-Cdc25C-Cdc2/cyclin B axis in non-small cell lung cancer[J].Cancer Biology and Therapy,2018,19(7):609-621.
[22] Kress M,Kress C,Chauviere M.Disruption of the mitotic kinesin Eg5 gene(Knsl1)results in early embryonic lethality[J].Biochemical and Biophysical Research Communications,2008,372(4):513-519.
[23] 李臻,李树安,罗华友,等.TEAD对结直肠癌细胞增殖影响及机制探讨[J].中华肿瘤防治杂志,2017,24(15):1035-1045.
[24] 白晓斌,霍龙伟,谢万福,等.BUB1在胶质母细胞瘤中高表达并促进胶质母细胞瘤的增殖[J].西安交通大学学报:医学版,2019,40(2):278-283.
[25]Gao Fangyuan,Feng Jing,Yao Hairong,et al.LncRNA SBF2-AS1 promotes the progression of cervical cancer by regulating miR-361-5p/FOXM1 axis[J].Artificial Cells Nanomedicine and Biotechnology,2019,47(1):776-782.
[26] Hou Lingmi,Chen Maoshan,Wang Minghao,et al.Systematic analyses of key genes and pathways in the development of invasive breast cancer[J].Gene,2016,593(1):1-12.
[27] Lui Minghong,Jiang Biaobin,Bao Zhaoshi,et al.A mini-review on spatiotemporal evolution of glioma under treatment[J].Progress in Biochemistry and Biophysics,2019,46(11):1055-1062.
[28] Leimbacher P A,Jones S E,Shorrocks A K,et al.MDC1 interacts with TOPBP1 to maintain chromosomal stability during mitosis[J].Mol Cell,2019,74(3):571-583.
[29] Johansson B,Karrman K,Lsaksson M,et al.The insulin receptor substrate 4 gene(IRS4)is mutated in paediatric T-cell acute lymphoblastic leukaemia[J].British Journal of Haematology,2011,155(4):516-519.
[30] Matei H V,Vicã M L, Ciucã I,et al.Correlations among the HLA-DQB1 alleles and suicidal behavior[J].Journal of Forensic Science,2020,65(1):166-169.
[31] Wang Zhanwei,Katsaros D,Shen Yi,et al.Biological and clinical significance of MAD2L1 and BUB1,genes frequently appearing in expression signatures for breast cancer prognosis[J].PLOS ONE,2015,10(8):e0136246.
[32] Shi Yuanxiang,Zhu Tao,Zou Ting,et al.Prognostic and predictive values of CDK1 and MAD2L1 in lung adenocarcinoma[J].Oncotarget,2016,7(51):85235-85243.
[33] Jing Ke,Mao Qinsheng,Ma Peng.Decreased expression of TROAP suppresses cellular proliferation,migrationand invasion in gastric cancer[J].Molecular Medicine Reports,2018,18(3):3020-3026.
[34] 高峻,杨勇,陈霖,等.STK15、MCM5在胃癌前病变及癌变组织中的表达及相关性分析[J].实用医学杂志,2014,30(9):1432-1434.
[35] Green M R,Woolery J E,Mahadevan D.Update on aurora kinase targeted therapeutics in oncology[J].Expert Opinion on Drug Discovery,2011,6(3):291-307.
[36] 施晓婷,张斌,邹晓平.PRC1在细胞分裂及肿瘤发生中的作用[J].现代肿瘤医学,2016,24(23):3860-3863.
[37] Goldenring J R.A central role for vesicle trafficking in epithelial neoplasia Intracellular highways to carcinogenesis[J].Nature Reviews Cancer,2013,13(11):813-820.
[38] 茅育蕾,蔡宜玲.乳腺癌中INHBA表达及与临床预后的关系[J].临床与实验病理学杂志,2018,34(3):331-333.

备注/Memo

备注/Memo:
收稿日期:2019-09-30
基金项目:国家自然科学基金面上课题(11875149),国家自然科学基金地区基金(61565007),江西省教育厅科学技术研究课题(GJJ181485)和江西省高等学校教学改革研究课题(JXJG-18-35-1)资助项目.
作者简介:李 蓉(1983-),女,湖南新宁人,讲师,主要从事生物信息网络研究.E-mail:14164121@qq.com
更新日期/Last Update: 2020-10-20