microRNAs调控基质金属蛋白酶与乳腺癌发生发展和转移的生物信息学分析

刘婧婷

doi:10.13406/j.cnki.cyxb.002648

您当前的位置：

首页 >

文章列表页 >

microRNAs调控基质金属蛋白酶与乳腺癌发生发展和转移的生物信息学分析

基础研究临床研究生物信息分析 | 更新时间：2024-01-09

- microRNAs调控基质金属蛋白酶与乳腺癌发生发展和转移的生物信息学分析
- Bioinformatics analysis of microRNAs regulation of matrix metalloproteinases in the occurrence, progression and metastasis of breast cancer
- 重庆医科大学学报 2021年46卷第10期页码：1228-1233
- 作者机构：
  
  兰州大学第一临床学院,兰州,730000
- 作者简介：
- 基金信息：
  
  甘肃省科技计划自然科学基金立项资助项目(17JR5RA030)
- DOI：10.13406/j.cnki.cyxb.002648
  中图分类号： R737.9
- 纸质出版日期：2021，
扫描看全文
刘婧婷. microRNAs调控基质金属蛋白酶与乳腺癌发生发展和转移的生物信息学分析[J]. 重庆医科大学学报, 2021,46(10):1228-1233.

Liu Jingting. Bioinformatics analysis of microRNAs regulation of matrix metalloproteinases in the occurrence, progression and metastasis of breast cancer[J]. Journal of Chongqing Medical University, 2021,46(10):1228-1233.
刘婧婷. microRNAs调控基质金属蛋白酶与乳腺癌发生发展和转移的生物信息学分析[J]. 重庆医科大学学报, 2021,46(10):1228-1233. DOI： 10.13406/j.cnki.cyxb.002648.

Liu Jingting. Bioinformatics analysis of microRNAs regulation of matrix metalloproteinases in the occurrence, progression and metastasis of breast cancer[J]. Journal of Chongqing Medical University, 2021,46(10):1228-1233. DOI： 10.13406/j.cnki.cyxb.002648.

摘要

目的：利用生物信息学方法研究microRNAs调控基质金属蛋白酶（matrix metalloproteinases，MMPs）乳腺癌的潜在靶向基因、信号传导通路及分子机制。方法：从GEO和TCGA数据库下载正常乳腺组织和乳腺癌样本的基因芯片；使用R软件包limma分析正常乳腺组织和乳腺癌样本之间的差异表达基因；对筛选出的差异表达基因进行KEGG信号通路富集分析。结果：通过对差异基因的趋势分析，筛选出544个显著上调的基因及1 030个显著下调的基因，其中MMP1/3/9/11/13/28可能为介导乳腺癌浸润性进展的相关基因。生存分析表明，乳腺癌MMP1/3/9/11/13高表达与不良预后相关，且MMP1高表达是影响乳腺癌的独立危险因素（P<0.01）。结论：本研究的整合生物信息学分析表明，MMPs在乳腺癌等多种癌组织中表达升高，并且MMPs表达明显影响乳腺癌患者预后，与其他MMPs相比，MMP1可能是乳腺癌患者靶向治疗的合适靶点。

Abstract

Objective: To explore the potential target genes

signal transduction pathways and molecular mechanisms of MicroRNAs regulating matrix metalloproteinases (MMPs) in breast cancer using bioinformatics analysis. Methods: Gene chips samples of normal mammary gland tissues and breast cancer tissues were downloaded from GEO database and TCGA database. The differentially expressed genes between normal tissue samples and breast cancer tissues were analyzed by R software package Limma. KEGG pathway analysiswas performed for the screened differentially expressed genes. Results: Through trend analysis of differentially expressed genes

544 significantly up-regulated genes and 1 030 significantly down-regulated genes were screened

among which MMP1/3/9/11/13/28 could be related genes that mediate invasive progression of breast cancer. Survival analysis showed that the high expression of MMP1/3/9/11/13 was associated with poor prognosis

and the high expression of MMP1 was an independent risk factor for breast cancer (P<0.01). Conclusion: The integrative bioinformatics analysis performed in the present study suggests that the expression of MMPs is increased in breast cancer and other cancer tissues

and the expression of MMPs can significantly affect the prognosis of breast cancer patients. Compared with other MMPs

MMP1 may be an appropriate target for targeted therapy in patients with breast cancer.

关键词

乳腺癌基质金属蛋白酶生物信息学

Keywords

breast cancermatrix metalloproteinasesbioinformatics

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

MTAP在前列腺癌中的表达及对免疫细胞的影响初探

基于转录组数据识别代谢综合征与结直肠癌的共同基因特征和分子机制

阿尔茨海默病患者外周血和海马组织共表达差异基因的生物信息学分析

基于机器学习的病理组学特征可预测乳腺癌患者对新辅助化疗的反应

环状RNA hsa_circ_0002185对乳腺癌细胞瘤细胞活力和侵袭能力的影响及其作用机制