Multivariate Analysis on Orofacial Odontogenic Infection in Northern Peninsular Malaysia.

PURPOSE: This regional 2-center study was designed 1) to analyze the clinical features of all patients with odontogenic orofacial infection as per type of visit, 2) to analyze the clinical features of diabetic patients compared with nondiabetic patients, and 3) to identify potential variables that may associate with long length of stay (LOS) of patients admitted for orofacial odontogenic infection in Northern Peninsular Malaysia. PATIENTS AND METHODS: All adult patients with orofacial odontogenic infections who attended the Oral and Maxillofacial Department of Hospital Raja Permaisuri Bainun and Hospital Sultan Abdul Halim from March 2015 to February 2019 were included. Data on patients' demography, medical history, smoking status, clinical presentation, and LOS were collected. Multivariate logistic regression analysis was performed using the dichotomous dependent variable, namely, short LOS (LOS <5 days) and long LOS (LOS ≥5 days). RESULTS: A total of 355 patients were reported with the mean age of 39.93 ± 15.95 years old. Multivariate analysis revealed that diabetes (adjusted odds ratio = 4.387, 95% confidence interval = 1.453 to 13.241, P value = .009) and multiple space involvement (adjusted odds ratio = 4.859, 95% confidence interval = 1.280, 18.454, P value = .020) were responsible for long LOS. CONCLUSIONS: Judicious treatment is recommended when treating patients of such infection that involves multiple spaces with underlying diabetes mellitus.

Identification of potential glycoprotein biomarkers in oral squamous cell carcinoma using sweet strategies.

The prevalence of oral squamous cell carcinoma (OSCC) is high in South and Southeast Asia regions. Most OSCC patients are detected at advanced stages low 5-year survival rates. Aberrant expression of glycosylated proteins was found to be associated with malignant transformation and cancer progression. Hence, identification of cancer-associated glycoproteins could be used as potential biomarkers that are beneficial for diagnosis or clinical management of patients. This study aims to identify the differentially expressed glycoproteins using lectin-based glycoproteomics approaches. Serum samples of 40 patients with OSCC, 10 patients with oral potentially malignant disorder (OPMD), and 10 healthy individuals as control group were subjected to two-dimensional gel electrophoresis (2-DE) coupled with lectin Concanavalin A and Jacalin that specifically bind to N- and O-glycosylated proteins, respectively. Five differentially expressed N- and O-glycoproteins with various potential glycosylation sites were identified, namely N-glycosylated α1-antitrypsin (AAT), α2-HS-glycoprotein (AHSG), apolipoprotein A-I (APOA1), and haptoglobin (HP); as well as O-glycosylated AHSG and clusterin (CLU). Among them, AAT and APOA1 were further validated using enzyme-linked immunosorbent assay (ELISA) (n = 120). It was found that AAT and APOA1 are significantly upregulated in OSCC and these glycoproteins are independent risk factors of OSCC. The clinical utility of AAT and APOA1 as potential biomarkers of OSCC is needed for further evaluation.

Comparative sera proteomics analysis of differentially expressed proteins in oral squamous cell carcinoma.

BACKGROUND: Oral squamous cell carcinoma (OSCC) has increased in incidence from 1990 to 2017, especially in South and Southeast Asia. It is often diagnosed at an advanced stage with a poor prognosis. Therefore, early detection of OSCC is essential to improve the prognosis of OSCC. This study aims to identify the differentially expressed serum proteins as potential biomarkers for oral squamous cell carcinoma (OSCC). METHODS: Comparative proteomics profiling of serum samples from OSCC patients, oral potentially malignant disorder (OPMD) patients, and healthy individuals were performed using two-dimensional gel electrophoresis (2-DE) coupled with mass spectrometry (MS) (n = 60) and bioinformatics analysis. The enzyme-linked immunosorbent assay (ELISA) (n = 120) and immunohistochemistry (IHC) (n = 70) were used to confirm our findings. RESULTS: The 2-DE analysis revealed that 20 differentially expressed proteins were detected in OPMD and OSCC (p < 0.05). Bioinformatics analysis indicated that the activation of classical complement, liver X receptor/retinoid X receptor (LXR/RXR) activation, and acute phase response signaling pathway are associated with the development and progression of OSCC. Most of the detected proteins are acute-phase proteins and were related to inflammation and immune responses, including apolipoprotein A-I (APOA1), complement C3 (C3), clusterin (CLU), and haptoglobin (HP). The expression levels of CLU and HP in ELISA are consistent with the findings from the 2-DE analysis, except for the mean serum level of HP in OPMD, whereby it was slightly higher than that in control. IHC results demonstrated that CLU and HP are significantly decreased in OSCC tissues. CONCLUSION: Decreased expression of CLU and HP could serve as complementary biomarkers of OSCC. These proteins may assist in predicting the outcomes of OSCC patients. However, a larger cohort is needed for further investigation.