PXD008655

PXD008655 is an original dataset announced via ProteomeXchange.

Title	Identification of salivary biomarkers for oral cancer with quantitative proteomics and two-phase verifying approaches
Description	Oral cavity cancer is one of the most common cancer worldwide and oral cavity squamous cell carcinoma (OSCC) accounts for up to 90 percent of oral cancers. In Taiwan, OSCC is the fifth most common malignancy of male and causes more than 250 deaths per year. The poor outcome of OSCC patients is principally ascribed to the fact that this disease is often advanced at the time of diagnosis, suggesting that early detection and prevention of OSCC are urgently needed to reduce the cancer burden. Analysis of cancer-related body fluids is one of promising approaches to identify cancer-related molecules and biomarker candidates. To identify salivary biomarkers of OSCC, salivary samples of OSCC patients, individuals with oral potentially malignant disorders (OPMD), and healthy volunteers were collected. With isobaric tags for relative and absolute quantitation (iTRAQ)-based mass spectrometry (MS) analysis, 1838 proteins were identified. The levels of 102 proteins are found to be elevated in the saliva samples of OSCC patients compared to that of OPMD and healthy groups. To improve the feasibility of biomarkers, we used a two-phase verification to measure these candidates. Among them, salivary levels of AHSG, CFH, FGA, and SERPINA1 were determined to be significantly higher in the OSCC patients than in the healthy or in the OPMD group with both of MRM-MS and ELISA. Furthermore, the levels of these proteins were highly related to tumor size, lymph-node metastasis, and cancer stages. The results of this study not only provides a powerful strategy for verification of biomarker candidates, but also suggested that AHSG, CFH, FGA, and SERPINA1 could act as salivary biomarkers for OSCC detection.
HostingRepository	PRIDE
AnnounceDate	2019-08-15
AnnouncementXML	Submission_2019-08-15_00:09:40.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Chih-Ching Wu
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	iTRAQ4plex-116 reporter+balance reagent acylated residue; methylthiolated residue; monohydroxylated residue
Instrument	LTQ Orbitrap Elite

Revision	Datetime	Status	ChangeLog Entry
0	2018-01-11 02:40:51	ID requested
⏵ 1	2019-08-15 00:25:00	announced

Chu HW, Chang KP, Hsu CW, Chang IY, Liu HP, Chen YT, Wu CC, Identification of Salivary Biomarkers for Oral Cancer Detection with Untargeted and Targeted Quantitative Proteomics Approaches. Mol Cell Proteomics, 18(9):1796-1806(2019) [pubmed]

curator keyword: Biomedical

submitter keyword: salivary biomarker, oral cancer, quantitative proteomics, MRM-MS, ELISA

Chih-Ching Wu
contact affiliation	Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taiwan
contact email	luckywu@mail.cgu.edu.tw
lab head
Chih-Ching Wu
contact affiliation	Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University
contact email	luckywu@mail.cgu.edu.tw
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD008655
     1. Label: PRIDE project
     2. Name: Identification of salivary biomarkers for oral cancer with quantitative proteomics and two-phase verifying approaches