1. Saliva protein biomarkers to detect oral squamous cell carcinoma in a high-risk population in Taiwan
- Author
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Shyun-Yeu Liu, Chi-Sheng Wu, Yu-Sun Chang, Wei-Chao Liao, Che-Yi Lin, Chia C. Pao, Jau-Song Yu, Hui-Tzu Tu, Shu Ti Chiou, Shu-Li Chia, Su-Wei Chang, Ya-Ting Chang, Chih-Yen Chien, Lai-Chu See, Leland H. Hartwell, Chee-Jen Chang, Yung-Chin Hsiao, Wei Fan Chiang, Yi-Ting Chen, Chih-Ching Wu, Kai-Ping Chang, John D. Young, Hsiao-Wei Chen, Chia-Chun Chen, and Lichieh Julie Chu
- Subjects
0301 basic medicine ,Oncology ,Male ,medicine.medical_specialty ,Pathology ,Saliva ,Protein biomarkers ,Population ,Taiwan ,Early detection ,Mass Spectrometry ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Biomarkers, Tumor ,Humans ,Basal cell ,Letters ,Salivary Proteins and Peptides ,education ,Endoplasmic Reticulum Chaperone BiP ,Early Detection of Cancer ,Demography ,Neoplasm Staging ,education.field_of_study ,Multidisciplinary ,Training set ,Framingham Risk Score ,business.industry ,Cancer ,Biological Sciences ,Middle Aged ,medicine.disease ,stomatognathic diseases ,030104 developmental biology ,030220 oncology & carcinogenesis ,Carcinoma, Squamous Cell ,Female ,Mouth Neoplasms ,business ,Chromatography, Liquid ,Follow-Up Studies - Abstract
Most cases of oral squamous cell carcinoma (OSCC) develop from visible oral potentially malignant disorders (OPMDs). The latter exhibit heterogeneous subtypes with different transformation potentials, complicating the early detection of OSCC during routine visual oral cancer screenings. To develop clinically applicable biomarkers, we collected saliva samples from 96 healthy controls, 103 low-risk OPMDs, 130 high-risk OPMDs, and 131 OSCC subjects. These individuals were enrolled in Taiwan's Oral Cancer Screening Program. We identified 302 protein biomarkers reported in the literature and/or through in-house studies and prioritized 49 proteins for quantification in the saliva samples using multiple reaction monitoring-MS. Twenty-eight proteins were successfully quantified with high confidence. The quantification data from non-OSCC subjects (healthy controls + low-risk OPMDs) and OSCC subjects in the training set were subjected to classification and regression tree analyses, through which we generated a four-protein panel consisting of MMP1, KNG1, ANXA2, and HSPA5. A risk-score scheme was established, and the panel showed high sensitivity (87.5%) and specificity (80.5%) in the test set to distinguish OSCC samples from non-OSCC samples. The risk score >0.4 detected 84% (42/50) of the stage I OSCCs and a significant portion (42%) of the high-risk OPMDs. Moreover, among 88 high-risk OPMD patients with available follow-up results, 18 developed OSCC within 5 y; of them, 77.8% (14/18) had risk scores >0.4. Our four-protein panel may therefore offer a clinically effective tool for detecting OSCC and monitoring high-risk OPMDs through a readily available biofluid.
- Published
- 2016