CXCL1 as a saliva biomarker in OSF patients with malignant transformation

Abstract

Oral submucous fibrosis is a chronic and progressive fibrosis lesion of the oral mucosa and is considered as a precancerous lesion The oral mucosa has been in a field cancerization for a long time making the malignant transformation more difficult to predict In the past specimens for oral cancer were found to show different amounts of specific cytokines compared to normal tissues In a large-scale national analysis of oral screening specific proteins are also highly expressed in saliva from high-risk populations that later turn into oral cancer Therefore we hypothesized that cytokines in saliva may play a role in promoting malignant transformation In addition autocrine or paracrine signals from precancerous lesions or malignant cells may also promote carcinogenesis First we analyzed 12 clinical specimens from the department of oral and maxillofacial surgery of Cheng Kung University Hospital of which 6 were OSF patients and the other 6 were patients with OSF combined with OSCC were analyzed by human cytokine array The results showed that in the group OSF combined with OSCC the cytokine level of CXCL 1 and macrophage inhibitory factor (MIF) were significantly increased Then we used saliva samples collected from department of oral and maxillofacial surgery Chi Mei Hospital Liouying campus from 2012-2017 to verify these two cytokines and use ELISA to quantify CXCL 1 and MIF Compared with the group the expression of CXCL 1 and MIF had a higher trend in the OSF combined with OSCC group To analyze the correlation between the expression of CXCL 1 and MIF and clinical risk factors The concentration of CXCL 1 has statistically significant difference in the poor differentiated group Non-invasive diagnosis and prognosis tools are the trend of precision medicine The salivary cytokines may be developed into a detection tool that point out oral precancerous lesion become a cancerous lesion which will help prevent and treat oral cancer

Date of Award	2020
Original language	English
Supervisor	Yuh-Ling Chen (Supervisor)