| Metadata |
| datasetIdentifier | PASS00938 |
| datasetType | SRM |
| submitter | Yi-Ting Chen <ytchen@mail.cgu.edu.tw> |
| submitter_organization | Chang Gung University |
| lab_head_full_name | Yi-Ting Chen |
| lab_head_email | ytchen@mail.cgu.edu.tw |
| lab_head_organization | Chang Gung University |
| lab_head_country | Taiwan |
| datasetTag | Saliva-MRM |
| datasetTitle | Raw MS files of control and oral cancer patients by a multiplexed LC-MRM/MS method for quantification of 56 salivary proteins. |
| publicReleaseDate | 2016-12-25 00:00:00 |
| finalizedDate | 2016-12-26 00:36:04 |
| summary | In this study, we evaluated the analytical performance of a simple and robust MRM-based targeted proteomics approach incorporating liquid chromatography with mass spectrometry detection (LC-MRM/MS). This platform was used to quantitatively assess the biomarker potential of a group of 56 salivary proteins that have previously been associated with human cancers. To further enhance the development of this technology for assay of salivary samples, we optimized the workflow for salivary protein digestion and evaluated quantification performance, robustness and technical limitations in analyzing clinical samples. Using a clinically well-characterized cohort of two independent clinical sample sets (total n = 119), we quantitatively characterized these protein biomarker candidates in saliva specimens from controls and oral squamous cell carcinoma (OSCC) patients. The results clearly showed a significant elevation of most targeted proteins in saliva samples from OSCC patients compared with controls. Overall, this platform was capable of assaying the most highly multiplexed panel of salivary protein biomarkers, highlighting the clinical utility of MRM in oral cancer biomarker research. |
| contributors | Yi-Ting Chen, Hsiao-Wei Chen, Chun-Feng Wu, Lichieh Julie Chu, Wei-Fang Chiang, Jau-Song Yu, Cheng-Han Tsai, Chih-Ching Wu, Yu-Sun Chang, Maureen Wu |
| publication | Chen YT, Development of a multiplexed LC-MRM/MS method for evaluation of salivary proteins as oral cancer biomarkers, Molecular & Cellular Proteomics, submitted. |
| growth | |
| treatment | |
| extraction | |
| separation | |
| digestion | |
| acquisition | |
| informatics | |
| instruments | Sciex 5500 Qtrap |
| species | Human |
| massModifications | K+8.014199, R+10.008269 |
