Hong He1, Gang Sun, Feiyun Ping, Yanqing Cong. 1. Department of Stomatology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Abstract
BACKGROUND: principally 80 percent of the malignant oral tumors are the Oral Squamous Cell Carcinoma (OSCC), which require quantities of such sacrifices as deformity, malfunction, recurrence, metastasis, deterioration, and mortality in common cases of failing to antedate diagnosis. Similarly critical is the Oral Leukoplakia (OLK) among precancerous lesions of oral mucosa. It would also be of interest for scholars and clinicians to target the discrimination as seizing up OLK intimate to OSCC. OBJECTIVE: through bioinformatics technology, the research in narration worked to establish a three-dimensional discriminate database from high throughput data of protein fingerprints from serum, saliva, and tissue samples of OSCC and OLK patients as a preliminary step towards integrated group proteins biomarker discovery and to further understanding of corresponding tumorgenesis and proteomics. METHODS: differential proteomic patterns in serum, saliva, and tissue between OSCC patients or OSCC tissues and OLK were detected by SELDI-TOF-MS technology, and discriminatively analyzed by ZUCI-PDAS (Zhejiang University Cancer Institute ProteinChip Data Analysis System) with Support Vector Machines (SVM) and cross validation. Additionally, Laser Capture Micro-dissection technology was utilized in the tissue research. RESULTS: mass/charge proteomes of optimization obtained from the samples were, respectively, 4162 with 6886 of 87.82%, 92.86%, 66.67% as the sensitivity, specificity, and accuracy for serum difference; m/z 5818, 4617 with 3884 of all 100% as the sensitivity, specificity, and accuracy for saliva difference; and m/z 3738, 11366 of 96.29%, 100.00%, 85.71% as the sensitivity, specificity, and accuracy for tissue difference between OSCC and OLK patients. CONCLUSIONS: within the fields of clinical biomarker application and bioinformatics utilization, as well as the exploitation and popularization of modern discriminate analysis technology, to determine preventative and therapeutic stage and prognosis of OSCC and OLK, the proteomes of optimization for discrepancy are suggested to be directly enrolled in clinical application without protein identification.
BACKGROUND: principally 80 percent of the malignant oral tumors are the Oral Squamous Cell Carcinoma (OSCC), which require quantities of such sacrifices as deformity, malfunction, recurrence, metastasis, deterioration, and mortality in common cases of failing to antedate diagnosis. Similarly critical is the Oral Leukoplakia (OLK) among precancerous lesions of oral mucosa. It would also be of interest for scholars and clinicians to target the discrimination as seizing up OLK intimate to OSCC. OBJECTIVE: through bioinformatics technology, the research in narration worked to establish a three-dimensional discriminate database from high throughput data of protein fingerprints from serum, saliva, and tissue samples of OSCC and OLK patients as a preliminary step towards integrated group proteins biomarker discovery and to further understanding of corresponding tumorgenesis and proteomics. METHODS: differential proteomic patterns in serum, saliva, and tissue between OSCC patients or OSCC tissues and OLK were detected by SELDI-TOF-MS technology, and discriminatively analyzed by ZUCI-PDAS (Zhejiang University Cancer Institute ProteinChip Data Analysis System) with Support Vector Machines (SVM) and cross validation. Additionally, Laser Capture Micro-dissection technology was utilized in the tissue research. RESULTS: mass/charge proteomes of optimization obtained from the samples were, respectively, 4162 with 6886 of 87.82%, 92.86%, 66.67% as the sensitivity, specificity, and accuracy for serum difference; m/z 5818, 4617 with 3884 of all 100% as the sensitivity, specificity, and accuracy for saliva difference; and m/z 3738, 11366 of 96.29%, 100.00%, 85.71% as the sensitivity, specificity, and accuracy for tissue difference between OSCC and OLK patients. CONCLUSIONS: within the fields of clinical biomarker application and bioinformatics utilization, as well as the exploitation and popularization of modern discriminate analysis technology, to determine preventative and therapeutic stage and prognosis of OSCC and OLK, the proteomes of optimization for discrepancy are suggested to be directly enrolled in clinical application without protein identification.
Authors: Fatima Ardito; Donatella Perrone; Roberto Cocchi; Lucio Lo Russo; Alfredo DE Lillo; Giovanni Giannatempo; Lorenzo Lo Muzio Journal: Oncol Lett Date: 2016-02-09 Impact factor: 2.967