基于TCGA数据的浆液性卵巢癌预后相关miRNAs筛选
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摘要
目的通过TCGA数据库中浆液性卵巢癌(serous ovarian carcinoma,SOC)miRNA芯片表达谱数据分析,寻找与SOC预后显著相关的miRNAs,为后续研究提供可靠依据。方法下载TCGA数据库中SOC miRNAs表达数据及临床数据,应用SPSS20. 0软件进行数据合并及标准化处理,首先运用Spearman秩相关分析筛选miRNAs表达数据,再对筛选结果进行单因素Cox分析。结果 Spearman秩相关分析筛选出20个预后相关的miRNAs,再经单因素Cox分析筛出9个与SOC患者预后密切相关的miRNAs,经Kaplan-Meier生存曲线和ROC曲线分析验证,这些miRNAs的差异表达均与SOC预后相关。结论经Spearman秩相关分析和单因素Cox分析筛选出SOC预后相关的miRNAs的可信度较高,这些miRNAs可作为评价患者预后的新指标。
Purpose To identify the miRNAs which significantly associated with prognosis of serous ovarian carcinoma(SOC) by analyzing miRNAs expression data in the cancer genome atlas( TCGA) database. Methods miRNAs expression and clinical related data of SOC patients were obtained from the TCGA data portal. Data combination and standardization were performed by SPSS 20. 0. miRNAs expression data was screened by spearman rank correlation analysis,and the results were analyzed by univariate Cox analysis. Results 20 prognosis-related miRNAs were screened by spearman rank correlation analysis,and then univariate Cox analysis screened 9 miRNAs closely related to the prognosis of SOC patients. The Kaplan-Meier survival curve and ROC curve analysis confirmed that the differential expression of these miRNAs was associated with the prognosis of serous ovarian cancer. Conclusion Screened out by Spearman rank correlation analysis and univariate Cox analysis,the miRNAs which significantly associated with prognosis of SOC have a high degree of credibility. These miRNAs could be used as new indicators to evaluate the prognosis of SOC patients.
Purpose To identify the miRNAs which significantly associated with prognosis of serous ovarian carcinoma(SOC) by analyzing miRNAs expression data in the cancer genome atlas( TCGA) database. Methods miRNAs expression and clinical related data of SOC patients were obtained from the TCGA data portal. Data combination and standardization were performed by SPSS 20. 0. miRNAs expression data was screened by spearman rank correlation analysis,and the results were analyzed by univariate Cox analysis. Results 20 prognosis-related miRNAs were screened by spearman rank correlation analysis,and then univariate Cox analysis screened 9 miRNAs closely related to the prognosis of SOC patients. The Kaplan-Meier survival curve and ROC curve analysis confirmed that the differential expression of these miRNAs was associated with the prognosis of serous ovarian cancer. Conclusion Screened out by Spearman rank correlation analysis and univariate Cox analysis,the miRNAs which significantly associated with prognosis of SOC have a high degree of credibility. These miRNAs could be used as new indicators to evaluate the prognosis of SOC patients.
引文
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[3]尹灿,张莹,董玉玲,等.人卵巢癌组织中MAP3K3 mRNA的表达及预后分析[J].临床与实验病理学杂志,2018,34(3):248-252.
[4] Konstantinopoulos P A,Ceccaldi R,Shapiro G I,et al. Homologous recombination deficiency:exploiting the fundamental vulnerability of ovarian cancer[J]. Cancer Discov,2015,5(11):1137-1154.
[5] Wang W,Yang J,Xiang Y Y,et al. Overexpression of Hsa-miR-320 is associated with invasion and metastasis of ovarian cancer[J]. J Cell Biochem,2017,118(11):3654-3661.
[6] Zhang X,Liu J,Zang D,et al. Upregulation of miR-572 transcriptionally suppresses SOCS1 and p21 and contributes to human ovarian cancer progression[J]. Oncotarget,2015,6(17):15180-15193.
[7] Zhang Y,Zheng D,Xiong Y,et al. miR-202 suppresses cell proliferation in human hepatocellular carcinoma by downregulating LRP6 post-transcriptionally[J]. FEBS Lett,2014,588(10):1913-1920.
[8] Liu G,Yang D,Rupaimoole R,et al. Augmentation of response to chemotherapy by microRNA-506 through regulation of RAD51 in serous ovarian cancers[J]. J Natl Cancer Inst,2015,107(7).doi:10. 1093/jnci/djv108. Print 2015 Jul.
[9] Fan Y,Fan J,Huang L,et al. Increased expression of microRNA-196a predicts poor prognosis in human ovarian carcinoma[J].Int J Clin Exp Pathol,2015,8(4):4132-4137.
[10] Song Z S,Wu Y,Zhao H G,et al. Association between the rs11614913 variant of miRNA-196a-2 and the risk of epithelial ovarian cancer[J]. Oncol Lett,2016,11(1):194-200.
[11] Ziliak D,Gamazon E R,Lacroix B,et al. Genetic variation that predicts platinum sensitivity reveals the role of miR-193b in chemotherapeutic susceptibility[J]. Mol Cancer Ther,2012,11(9):2054-2061.
[12] Gadducci A,Sergiampietri C,Lanfredini N,et al. Micro-RNAs and ovarian cancer:the state of art and perspectives of clinical research[J]. Gynecol Endocrinol,2014,30(4):266-271.
[13] Hung C H,Hu T H,Lu S N,et al. Circulating microRNAs as biomarkers for diagnosis of early hepatocellular carcinoma associated with hepatitis B virus[J]. Int J Cancer,2016,138(3):714-720.
[14] Jiang H,Hua D,Zhang J,et al. MicroRNA-127-3p promotes glioblastoma cell migration and invasion by targeting the tumorsuppressor gene SEPT7[J]. Oncol Rep,2014,31(5):2261-2269.
[15] Li Y,Zhao C,Yu Z,et al. Low expression of miR-381 is a favorite prognosis factor and enhances the chemosensitivity of osteosarcoma[J]. Oncotarget,2016,7(42):68585-68596.
[16] Shih K K,Qin L X,Tanner E J,et al. A microRNA survival signature(miss)for advanced ovarian cancer[J]. Gynecol Oncol,2011,121(3):444-450.