Identification of differentially expressed proteins in oral squamous cell carcinoma using a global proteomic approach

2005 ◽  
Author(s):  
Hirofumi Koike ◽  
Katsuhiro Uzawa ◽  
Dai Nakashima ◽  
Ken Shimada ◽  
Yoshikuni Kato ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Proteomic Approach

Analysis of differentially expressed proteins in oral squamous cell carcinoma by MALDI-TOF MS

2010 ◽  
Vol 40 (5) ◽  
pp. 369-379 ◽  
Author(s):  
Uta J. E. Thiel ◽  
Ralph Feltens ◽  
Boris Adryan ◽  
Rita Gieringer ◽  
Christoph Brochhausen ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

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

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11548
Author(s):  
Yin-Ling Wong ◽  
Anand Ramanathan ◽  
Kar Mun Yuen ◽  
Wan Mahadzir Wan Mustafa ◽  
Mannil Thomas Abraham ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Acute Phase ◽  
Squamous Cell ◽  
Bioinformatics Analysis ◽  
Differentially Expressed ◽  
Complement C3 ◽  
Enzyme Linked Immunosorbent Assay ◽  
Differentially Expressed Proteins

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.

scholarly journals Salivary Circular RNAs Hsa_Circ_0001874 and Hsa_Circ_0001971 as Novel Biomarkers for the Diagnosis of Oral Squamous Cell Carcinoma

2018 ◽  
Vol 47 (6) ◽  
pp. 2511-2521 ◽  
Author(s):  
Si-Yu Zhao ◽  
Jun Wang ◽  
Shao-Bo Ouyang ◽  
Zi-Kun Huang ◽  
Lan Liao
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Roc Curve ◽  
Tnm Stage ◽  
Differentially Expressed ◽  
Circular Rnas ◽  
Healthy Controls ◽  
Novel Biomarkers

Background/Aims: Recent studies have demonstrated that circular RNAs (circRNAs) can serve as potential molecular markers for disease diagnosis. However, little is known about their diagnostic potential for oral squamous cell carcinoma (OSCC). This study aimed to determine the expression of circRNAs in the saliva of OSCC patients to identify novel biomarkers for OSCC screening. Methods: Microarray screening of circRNA was performed to identify differentially expressed circRNAs in saliva from 3 OSCC patients compared with 3 healthy controls. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to validate the results, and the association between these confirmed salivary circRNAs and clinicopathological features was analyzed using the chi-squared test. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of the circRNAs identified. Preoperative expression and postoperative expression (1 month after the surgery) of hsa_circ_0001874 and hsa_circ_0001971 was also determined. Results: Our results indicated 12 upregulated and 20 downregulated circRNAs in the saliva from the OSCC patients compared with that from the healthy controls. Among the differentially expressed circRNAs, hsa_circ_0001874, hsa_circ_0001971, and hsa_circ_0008068 were upregulated and hsa_circ_0000140, hsa_circ_0002632, and hsa_circ_0008792 were downregulated in the OSCC group versus the healthy group. Clinical data indicated that salivary hsa_circ_0001874 was correlated with TNM stage (P=0.006) and tumor grade (P=0.023) and that hsa_circ_0001971 was correlated with TNM stage (P=0.019). The combination of hsa_circ_0001874 and hsa_circ_0001971 showed an area under the ROC curve of 0.922 (95% confidence interval, 0.883-0.961; P< 0.001). The risk score based on the combination of hsa_circ_0001874 and hsa_circ_0001971 also discriminated patients with OSCC from patients with oral leukoplakia (P< 0.001). Moreover, the expression levels of salivary hsa_circ_0001874 and hsa_circ_0001971 were clearly decreased in the postoperative samples compared with preoperative samples (P< 0.001). Conclusions: This is the first study to demonstrate the potential of salivary hsa_circ_0001874 and hsa_circ_0001971 as biomarkers for the diagnosis of OSCC.

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