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

被引:33
|
作者
Chi, Lang-Ming [1 ]
Hsiao, Yung-Chin [2 ,3 ]
Chien, Kun-Yi [2 ,4 ]
Chen, Szu-Fan [2 ]
Chuang, Yao-Ning [2 ]
Lin, Shih-Yu [2 ]
Wang, Wei-Shun [2 ]
Chang, Ian Yi-Feng [2 ]
Yang, Chi [2 ]
Chu, Lichieh Julie [2 ,3 ]
Chiang, Wei-Fan [5 ,6 ]
Chien, Chih-Yen [7 ,8 ]
Chang, Yu-Sun [2 ,9 ]
Chang, Kai-Ping [2 ,9 ]
Yu, Jau-Song [2 ,3 ,4 ,10 ]
机构
[1] Chang Gung Mem Hosp, Clin Prote Core Lab, Taoyuan, Taiwan
[2] Chang Gung Univ, Mol Med Res Ctr, Taoyuan, Taiwan
[3] Chang Gung Mem Hosp, Liver Res Ctr, Linkou, Taiwan
[4] Chang Gung Univ, Dept Biochem & Mol Biol, Coll Med, Taoyuan, Taiwan
[5] Chi Mei Med Ctr, Dept Oral & Moocillofacial Surg, Tainan, Taiwan
[6] Natl Yang Ming Univ, Sch Dent, Taipei, Taiwan
[7] Kaohsiung Chang Gung Mem Hosp, Dept Otolaryngol, Kaohsiung, Taiwan
[8] Chang Gung Univ, Coll Med, Taoyuan, Taiwan
[9] Chang Gung Mem Hosp, Dept Otolaryngol Head, Dept Neck Surg, Linkou, Taiwan
[10] Chang Gung Univ Sci & Technol, Coll Human Ecol, Res Ctr Chinese Herbal Med, Res Ctr Food & Cosmet Safety, Taoyuan, Taiwan
关键词
Oral cancer; Saliva; Plasma; Biomarker; Quantification; MRM-MS; SISCAPA-MRM; SQUAMOUS-CELL CARCINOMA; PEPTIDE IMMUNOAFFINITY ENRICHMENT; PROTEOME-PROJECT; NECK-CANCER; PROTEINS; SERUM; HEAD; QUANTITATION; STANDARDS; TUMOR;
D O I
10.1016/j.jprot.2019.103571
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Application of proximity ligation assays to identify potential plasma biomarkers in oral cavity cancer patients: A case control study
    Lin, Jin-Ching
    Wang, Chen-Chi
    Jiang, Rong-San
    Wang, Wen-Yi
    Liu, Shih-An
    CANCER BIOMARKERS, 2020, 29 (01) : 17 - 23
  • [32] Detection of Fusobacterium nucleatum subspecies in the saliva of pre-colorectal cancer patients, using tandem mass spectrometry
    Morsi, Hanie
    Golizeh, Makan
    Brosseau, Noah
    Janati, Amal Idrissi
    Emami, Elham
    Ndao, Momar
    Tran, Simon D.
    ARCHIVES OF ORAL BIOLOGY, 2022, 134
  • [33] Proteomic Profiling of Plasma and Brain Tissue from Alzheimer's Disease Patients Reveals Candidate Network of Plasma Biomarkers
    Chen, Mei
    Xia, Weiming
    JOURNAL OF ALZHEIMERS DISEASE, 2020, 76 (01) : 349 - 368
  • [34] Measurement of salivary metabolite biomarkers for early monitoring of oral cancer with ultra performance liquid chromatography-mass spectrometry
    Wang, Qihui
    Gao, Pan
    Cheng, Fei
    Wang, Xiaoyi
    Duan, Yixiang
    TALANTA, 2014, 119 : 299 - 305
  • [35] Simultaneous determination of amino acids and neurotransmitters in plasma samples from schizophrenic patients by hydrophilic interaction liquid chromatography with tandem mass spectrometry
    Domingues, Diego Soares
    Crevelin, Eduardo Jose
    Beraldo de Moraes, Luiz Alberto
    Cecilio Hallak, Jaime Eduardo
    de Souza Crippa, Jose Alexandre
    Costa Queiroz, Maria Eugenia
    JOURNAL OF SEPARATION SCIENCE, 2015, 38 (05) : 780 - 787
  • [36] Differential Glycosylation Levels in Saliva from Patients with Lung or Breast Cancer: A Preliminary Assessment for Early Diagnostic Purposes
    Ragusa, Andrea
    Romano, Pietrina
    Lenucci, Marcello Salvatore
    Civino, Emanuela
    Vergara, Daniele
    Pitotti, Elena
    Neglia, Cosimo
    Distante, Alessandro
    Romano, Giampiero Diego
    Di Renzo, Nicola
    Surico, Giammarco
    Piscitelli, Prisco
    Maffia, Michele
    METABOLITES, 2021, 11 (09)
  • [37] Prevalence of different fungal species in Saliva and Swab samples of patients undergoing Radiotherapy for Oral Cancer
    Putta, Pratima
    Natarajan, Kannan
    Beeraka, Swapna Sridevi
    Manne, Rakesh Kumar
    Sarath, Prathi Venkata
    JOURNAL OF PURE AND APPLIED MICROBIOLOGY, 2021, 15 (03) : 1180 - 1186
  • [38] Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals
    Braz, Daniel C.
    Neto, Mario Popolin
    Shimizu, Flavio M.
    Sa, Acelino C.
    Lima, Renato S.
    Gobbi, Angelo L.
    Melendez, Matias E.
    Arantes, Lidia M. R. B.
    Carvalho, Andre L.
    Paulovich, Fernando, V
    Oliveira Jr, Osvaldo N.
    TALANTA, 2022, 243
  • [39] Quantification of putative ovarian cancer serum protein biomarkers using a multiplexed targeted mass spectrometry assay
    Joohyun Ryu
    Kristin L. M. Boylan
    Carly A. I. Twigg
    Richard Evans
    Amy P. N. Skubitz
    Stefani N. Thomas
    Clinical Proteomics, 2024, 21
  • [40] Identification of uncommon oral yeasts from cancer patients by MALDI-TOF mass spectrometry
    Aslani, Narges
    Janbabaei, Ghasem
    Abastabar, Mahdi
    Meis, Jacques F.
    Babaeian, Mahasti
    Khodavaisy, Sadegh
    Boekhout, Teun
    Badali, Hamid
    BMC INFECTIOUS DISEASES, 2018, 18