[1]肖姗姗,李 越,周艳阳,等.基于TCGA 数据库构建三阴性乳腺癌预后相关的ceRNA 调控网络及分析[J].现代检验医学杂志,2023,38(01):83-88+106.[doi:10.3969/j.issn.1671-7414.2023.01.016]
　XIAO Shan-shan,LI Yue,ZHOU Yan-yang,et al.Construction and Analysis of ceRNA Regulatory Network Related to Prognosis of Triple Negative Breast Cancer Based on TCGA Database[J].Journal of Modern Laboratory Medicine,2023,38(01):83-88+106.[doi:10.3969/j.issn.1671-7414.2023.01.016]
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基于TCGA 数据库构建三阴性乳腺癌预后相关的ceRNA 调控网络及分析()
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《现代检验医学杂志》[ISSN:/CN:]

卷:
第38卷
期数:
2023年01期
页码:
83-88+106
栏目:
论著
出版日期:
2023-01-15

文章信息/Info

Title:
Construction and Analysis of ceRNA Regulatory Network Related to Prognosis of Triple Negative Breast Cancer Based on TCGA Database
文章编号:
1671-7414（2023）01-083-07
作者:
肖姗姗1; 2; 李 越1; 周艳阳1; 何 谦1
（1. 西安交通大学第二附属医院检验科，西安 710004；2. 空军军医大学唐都医院儿科，西安 710038）
Author(s):
XIAO Shan-shan1; 2; LI Yue1; ZHOU Yan-yang1; HE Qian1
（1.Department of Clinical Laboratory, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710004, China； 2.Department of Pediatrics，Tangdu Hospital of Air Force Military Medical University，Xi’an 710038, China）
关键词:
三阴性乳腺癌; 癌症基因组图谱; 竞争性内源性RNA 调控网络
分类号:
R737.9；R730.43
DOI:
10.3969/j.issn.1671-7414.2023.01.016
文献标志码:
A
摘要:
目的 通过分析癌症基因组图谱（the cancer genome atlas，TCGA）数据库构建三阴性乳腺癌(triple negativebreast cancer，TNBC）预后相关的竞争性内源性核糖核酸（competitive endogenous RNA, ceRNA）调控网络。方法 从TCGA 数据库中下载TNBC lncRNA 表达RNAseq 数据，对TNBC 患者的 mRNA，miRNA 和lncRNA 进行差异表达分析，并进一步行生存分析，得到与乳腺癌有明显差异表达同时也对生存有相关性的mRNA，miRNA 和lncRNA。同时构建 lncRNA- miRNA - mRNA 相关 ceRNA 调控网，再对生存相关 lncRNA 所相关的 mRNA 进一步功能富集和注释，并构建蛋白质互作网络最终用关键基因通过人类蛋白质图谱（the human protein atlas，HPA）数据库进行验证。结果 在TCGA 中共找到TNBC 差异表达mRNA 2 331 个、差异miRNA 100 个和差异lncRNA 1 269 个。ceRNA 调控网中的 mRNA 在细胞黏附、唾液分泌和血小板活化、用于IgA 产生的肠道免疫网络、补体和凝血级联反应等信号通路中明显富集。生存分析中，1 个差异mRNA(NMUR1），1 个差异表达miRNA(hsa-miR-6832-3p)，2 个差异表达的lncRNA（AC104809，LINC01297）的表达量均与TNBC 患者的预后相关，差异具有统计学意义（P ＜ 0.05）。最后利用HPA数据库对NMUR1 蛋白水平和生存分析验证，NMUR1 的高表达患者的总生存期显著高于NMUR1 低表达组，差异有统计学意义（P ＜ 0.05）。结论 成功构建了促进TNBC 发生发展的 lncRNA-miRNA-mRNA 调控网络，筛选得到生存相关的差异mRNA，miRNA 和lncRNA 为TNBC 发病机制的研究和诊疗生物标志物的探索提供参考依据。
Abstract:
Objective By analyzing the cancer genome atlas (TCGA) database, a competitive endogenous RNA (ceRNA) regulatory network related to the prognosis of triple negative breast cancer (TNBC) was constructed. Methods Download TNBC lncRNA expression RNAseq data from the TCGA database, analyzed the differential expression of mRNA, miRNA and lncRNA in TNBC patients, and further conduct survival analysis to obtain mRNA, miRNA and lncRNA that have significant differential expression with breast cancer and were also relevant to survival. At the same time, the lncRNA-miRNA-mRNA related ceRNA regulatory network was constructed, and then the mRNA related to survival related lncRNA was further enriched and annotated, and the protein interaction network was constructed. Finally, the key genes were verified by the human protein atlas (HPA) database. Results 2 331 differentially expressed mRNA, 100 differentially expressed miRNA and 1 269 differentially expressed lncRNA were found in TCGA in triple negative breast cancer. The mRNA in the ceRNA regulatory network was significantly enriched in signal pathways such as cell adhesion, salivary network for IgA production, complement and coagulation cascade immune, platelet activation, intestinal in survival analysis, the expression of 1 differential mRNA (NMUR1), 1 differential expression miRNA (hsa-miR-6832-3p), and 2 differential expression lncRNAs (AC104809,LINC01297) were all related to the prognosis of TNBC patients, and the difference was statistically significant (P ＜ 0.05).Finally, the analysis of NMUR1 protein level and survival using HPA database verified that the overall survival of patients with high NMUR1 expression was significantly higher than that of patients with low NMUR1 expression, and the difference was statistically significant (P ＜ 0.05). Conclusion The lncRNA- miRNA- mRNA regulatory network promoting the occurrence and development of TNBC has been successfully constructed, and the survival related differential mRNA, miRNA and lncRNA have been screened, providing a reference for the study of the pathogenesis of triple negative breast cancer and the exploration of biomarkers for diagnosis and treatment.

参考文献/References:

[1] 黄晶晶, 彭名奎.miRNA 和lncRNA 与乳腺癌关系的研究进展[J]. 现代医药卫生, 2022, 38(5):807-811.
HUANG Jingjing, PENG Mingkui .Research progress on the relationship between miRNA and lncRNA and breast cancer[J] .Journal of Modern Medicine & Health,2022,38(5):807-811.
[2] 陈茂山, 吕青．《基于人口登记数据2000 ～ 2020年全球乳腺癌发病和死亡率分析》要点解读[J]. 中国胸心血管外科临床杂志, 2022, 29(4): 401-406.
CHEN Maoshan, L? Qing. Interpretation of the global patterns of breast cancer incidence and mortality:A population-based cancer registry data analysis from 2000 to 2020 [J]. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery,2022,29(4):401-406.
[3] 张密, 董倩. 三阴性乳腺癌免疫治疗的研究进展[J].中国肿瘤临床与康复,2020,29(8):614-620.
ZHANG Mi, DONG Qian. Research progress of triple negative breast cancer immunotherapy [J]. Chinese Journal of Clinical Oncology and Rehabilitation,2020,29(8):614-620.
[4] 刘世浩, 张欣, 呼国庆, 等. 三阴性乳腺癌新辅助化疗后组织中Ki-67 表达变化及其与疗效和预后的相关性[J]. 现代肿瘤医学, 2021, 29(5): 773-776.
LIU Shihao, ZHANG Xin, HU Guoqing, et al. The Ki-67 expression change after neoadjuvant chemotherapy in triple negative breast cancer and the correlation with efficacy and prognosis [J]. Journal of Modern Oncology, 2021, 29(5):773-776.
[5] 胡宇辰, 尹恬恬, 李倩, 等. 长链非编码RNA HULC对胶质母细胞瘤原位移植瘤模型肿瘤生长的促进作用[J]. 中山大学学报（医学版）, 2020, 41(1): 60-68.
HU Yuchen, YIN Tiantian, LI Qian, et al. Long non-coding RNA HULC enhances tumor growth in orthotopic xenograft model of glioblastoma[J]. Journal of Sun Yat-sen University(Medical Sciences),2020,41(1):60-68.
[6] WANG Dongtao, SONG Qiang, ZHAO Tianyong, et al.Long non-coding RNA MRPS30 divergent transcript can be detected in the cytoplasm of triple-negative breast cancer cells and is targeted by microRNA-130b[J]. Bioengineered, 2022, 13(3): 5954-5961.
[7] SALMENA L, POLISENO L, TAY Y, et al. A ceRNA hypothesis: the rosetta stone of a hidden RNA language[J]. Cell, 2011, 146(3): 353-358.
[8] 牛智平, 王娟, 汪富涛, 等. 乳腺癌组织中lncRNA PVT1 的表达与患者临床特征及总体生存率的关系[J]. 现代检验医学杂志, 2020, 35(5): 134-136.
NIU Zhiping, WANG Juan, WANG Futao, et al.Relationship between the expression of lncRNA PVT1 in breast cancer tissues and the clinical characteristics and overall survival rate of patients [J] . Journal of Modern Laboratory Medicine, 2020,35(5):134-136.
[9] CHI Jiangrui, YU Zhihao, LIU Bowen, et al. SNHG5 promotes breast cancer proliferation by sponging the miR-154-5p/PCNA axis[J]. Molecular Therapy-Nucleic Acids, 2019, 17: 138-149.
[10] 苏雨, 徐美佳, 王家立, 等.ceRNA 竞争性网络在三阴性乳腺癌中的研究进展[J]. 生命的化学, 2021,41(5): 1010-1017.
SU Yu, XU Meijia, WANG Jiali, et al. Research progress of competing endogenous RNA in triple negative breast cancer [J].Chemistry of Life, 2021, 41(5):1010-1017.
[11] CAO Qing, DONG Zewen, LIU Shuzhen, et al.Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer[J]. Cancer Cell International, 2020, 20(1): 208.
[12] WANG Zijun, WANG Yinhuai, PENG Mou, et al.UBASH3B is a novel prognostic biomarker and correlated with immune infiltrates in prostate cancer[J].Frontiers in Oncology, 2019, 9: 1517.
[13] 杨净渝, 邱爽, 陈昕.lncBRM 对乳腺癌细胞生长的影响及作用机制[J]. 中国癌症防治杂志, 2020,12(2): 175-180.
YANG Jingyu, QIU Shuang, CHEN Xin. Effect of lncBRM on the growth of breast cancer cells and its mechanism [J]. Chinese Journal of Oncology Prevention and Treatment,2020,12(2):175-180.
[14] 张华, 王耕, 王明华, 等．基于SurvivalMeth 数据库分析NMUR1 在乳腺癌中的甲基化状态及其对预后的作用[J]. 激光生物学报, 2021, 30(4):363-369.
ZHANG Hua, WANG Geng, WANG Minghua, et al. Methylation of NMUR1 and its prognostic role in breast invasive carcinoma: analysis based on the data-mining of survival meth [J]. Acta Laser Biology Sinica,2021,30(4):363-369.

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备注/Memo

备注/Memo:
作者简介：肖姗姗（1989-），女，硕士研究生，主管检验技师，主要从事临床检验、免疫学研究，E-mail：383279688@qq.com。
通讯作者：何谦（1971-），女，博士，主任技师，主要从事生化和分子生物学研究， E-mail：qianh0511@163.com。
更新日期/Last Update: 2023-01-15