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MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening
Published on: October 26, 2017
[Screening and expression of tumor markers in laryngeal carcinoma]
Ying Xu1, Binquan Wang, Hui Huangfu
1Department of Otorhinolaryngology-Head and Neck Surgery, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China. qiaoshengduo@yahoo.com.cn
Objective:
To select relatively specific biomarkers in serum from laryngeal carcinoma patients using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) technology.
Method:
The serum samples of 32 cases of laryngeal carcinoma preoperation and 15 cases of laryngeal carcinoma 10 days postoperation and 40 healthy controls on IMAC-Cu protein chip were collected. The spectrometric protein profiling was detected by SELDI-TOF-MS, the data was analyzed by Biomarker Wizard software and Biomarker Pattern software.
Result:
Twenty-six differentially expressed proteins in serum were screened by analysis of protein spectra of preoperative and postoperative patients and healthy controls. Eight proteins (4048.09, 5073.79, 5339.29, 3795.38, 9187.24, 15323.8, 6111.92, 6943.87) were obtained for making up patterns that was able to class the preoperative-team and postoperative-team. Corresponding correct ratio were 75% (30/40), 71.88% (23/32) and 66.67% (10/15).
Conclusion:
SELDI-TOF-MS technology is a quick, easy, convenient and high output analyzing method that it is capable of selecting several relatively specific, potential biomarkers from the serum of laryngeal carcinoma patients and may have clinic value.
