Affordable Access

deepdyve-link
Publisher Website

Assessment of candidate biomarkers in paired saliva and plasma samples from oral cancer patients by targeted mass spectrometry.

Authors
  • Chi, Lang-Ming1
  • Hsiao, Yung-Chin2
  • Chien, Kun-Yi3
  • Chen, Szu-Fan4
  • Chuang, Yao-Ning4
  • Lin, Shih-Yu4
  • Wang, Wei-Shun4
  • Chang, Ian Yi-Feng4
  • Yang, Chi4
  • Chu, Lichieh Julie2
  • Chiang, Wei-Fan5
  • Chien, Chih-Yen6
  • Chang, Yu-Sun7
  • Chang, Kai-Ping8
  • Yu, Jau-Song9
  • 1 Clinical Proteomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan. , (Taiwan)
  • 2 Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Liver Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan. , (Taiwan)
  • 3 Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan. , (Taiwan)
  • 4 Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan. , (Taiwan)
  • 5 Department of Oral and Maxillofacial Surgery, Chi-Mei Medical Center, Liouying, Tainan, Taiwan; School of Dentistry, National Yang Ming University, Taipei, Taiwan. , (Taiwan)
  • 6 Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan. , (Taiwan)
  • 7 Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head, Department of Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan. , (Taiwan)
  • 8 Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head, Department of Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan. Electronic address: [email protected] , (Taiwan)
  • 9 Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Liver Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan; Department of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Food and Cosmetic Safety, Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan. Electronic address: [email protected] , (Taiwan)
Type
Published Article
Journal
Journal of proteomics
Publication Date
Jan 16, 2020
Volume
211
Pages
103571–103571
Identifiers
DOI: 10.1016/j.jprot.2019.103571
PMID: 31689561
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

For oral cancer, numerous saliva- and plasma-derived protein biomarker candidates have been discovered and/or verified; however, it is unclear about the behavior of these candidates as saliva or plasma biomarkers. In this study, we developed two targeted assays, MRM and SISCAPA-MRM, to quantify 30 potential biomarkers in both plasma and saliva samples collected from 30 healthy controls and 30 oral cancer patients. Single point measurements were used for target quantification while response curves for assay metric determination. In comparison with MRM assay, SISCAPA-MRM effectively improved (>1.5 fold) the detection sensitivity of 11 and 21 targets in measurement of saliva and plasma samples, respectively. The integrated results revealed that the salivary levels of these 30 selected biomarkers weakly correlated (r < 0.2) to their plasma levels. Five candidate biomarkers (MMP1, PADI1, TNC, CSTA and MMP3) exhibited significant alterations and disease-discriminating powers (AUC = 0.914, 0.827, 0.813, 0.77, and 0.753) in saliva sample; nevertheless, no such targets could be found in plasma samples. Our data support the notion that saliva may be more suitable for the protein biomarker-based detection of oral cancer, and the newly developed SISCAPA-MRM assay could be applied to verify multiple oral cancer biomarker candidates in saliva samples. SIGNIFICANCE: In this work we systematically determined the abundance of 30 selected targets in the paired saliva and plasma samples to evaluate the utility of saliva and plasma samples for protein biomarker-based detection of oral cancer. Our study provides significant evidence to support the use of saliva, but not blood samples, offer more opportunity to achieve the success of protein biomarker discovery for oral cancer detection. Copyright © 2019 Elsevier B.V. All rights reserved.

Report this publication

Statistics

Seen <100 times