Application of bioinformatics to optimization of serum proteome in oral leukoplakia and oral squamous cell carcinoma

Abstract

Intervention to the evolution and metastasis of oral squamous cell carcinoma (OSCC) from oral leukoplakia (OLK) out of normal mucosa is currently far from ultimate. New technologies and insights are reckoned on for etiology and clinical protocol of OSCC and mucosa lesions. SELDI-TOF-MS technology, Support vector machine, Discriminate Analysis, and CM10 protein chip were applied to study the sera proteomes of 32 healthy volunteers, 6 patients with oral mucosa leukoplakia, 28 OSCC patients, and 8 patients with metastatic OSCC. Ratios of protein mass to its charge (m/z) showed in valve peak value were delivered and discriminated out of the huge amount of protein data as group markers for identifications. Protein peak values 4181 and 4651 were high in volunteers serum while low in patients with OLK, the sensitivity of which was 100.00% (32/32), specificity was 83.33%(5/6), accuracy was 97.37%(37/38). And m/z 4162, 6886 of 87.82, 92.86 and 66.67%; 4289, 5661, 6195, 4352, 5072 of 97.22, 100.00 and 87.5% were discriminates between OLK and local OSCC, between local OSCC and regionally metastatic OSCC, respectively. Conclusively, researches are encouraged to launch a proteomics assistance and guidance in modern molecular diagnostic approaches for understanding and controlling the mucosa lesions especially in conquering the malignant progress.

Keywords: Oral squamous cell carcinoma (OSCC); oral leukoplakia (OLK), ZUCI-PDAS (Zhejiang University Cancer Institute ProteinChip Data Analysis System), bioinformatics technology, discriminate analysis, proteomes of optimization

African Journal of Biotechnology, Vol 13(19), 2084-2089