4.3 Article

A direct quantification method for measuring plasma MicroRNAs identified potential biomarkers for detecting metastatic breast cancer

期刊

ONCOTARGET
卷 7, 期 16, 页码 21865-21874

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.7990

关键词

circulating miRNA; direct quantification; biomarker; metastatic breast cancer; miR-106a

资金

  1. Natural Science Foundation of China [81172515, 81572593]
  2. Major Program of Development Fund for Shanghai Zhangjiang National Innovtaion Demonstration Zone [ZJ2014-ZD-002]
  3. National Basic Research Program of China [2012CB966800]
  4. Science and Technology Commission of Shanghai Municipality [13JC1401702, 124119a7100]
  5. Foundation for Innovative Research Groups of the NSFC [81221001]
  6. Sidney Kimmel Cancer Center NIH Cancer Center Core grant [P30CA056036]
  7. [R01CA070896]
  8. [R01CA075503]
  9. [R01CA132115]
  10. [R01CA107382]
  11. [R01CA086072]

向作者/读者索取更多资源

Circulating miRNAs are protected from ribonuclease degradation by assembly into microvesicles and exosomes. Releasing miRNAs completely from these particles is the key step to quantify the circulating miRNAs. Currently purified RNA-based quantitative analysis is widely used while it is time and cost consuming with high risk for those circulating miRNAs with low abundance due to partial loss of RNA during the steps of total RNA extraction and small RNA enrichment. Herein, we optimized a simple, effective and time-saving method to directly measure plasma miRNAs without RNA isolation. It is based on complete miRNA release from the protein complexes, followed by miRNA-specific reverse transcription and quantitative real-time PCR amplification. By comparison to the RNA-based approach, the direct quantification method showed more efficiency for circulating miRNA analysis, higher accuracy and specificity. By application of the direct quantification method to clinical samples combined with the RNA-based miRNA screening analysis, upregulation of miR-106a in blood was validated in metastatic breast cancer patients, indicating miR-106a are a potential biomarker for metastatic breast cancer.

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