scholarly journals Molecular genetic study of novel biomarkers for early diagnosis of oral squamous cell carcinoma

Author(s):  
K. Yong-Deok ◽  
J. Eun-Hyoung ◽  
K. Yeon-Sun ◽  
P. Kang-Mi ◽  
L. Jin-Yong ◽  
...  
2018 ◽  
Vol 47 (6) ◽  
pp. 2511-2521 ◽  
Author(s):  
Si-Yu Zhao ◽  
Jun Wang ◽  
Shao-Bo Ouyang ◽  
Zi-Kun Huang ◽  
Lan Liao

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.


2021 ◽  
Author(s):  
Bi Lin ◽  
Jun Wu ◽  
Yanxing Wang ◽  
Song Sun ◽  
Ying Yuan ◽  
...  

Early diagnosis is critical and challenging for tongue squamous cell carcinoma (TSCC), which is a kind of tumor with high malignancy, poor prognosis, and a high incidence of invasion and metastasis.


Author(s):  
BRUNA FERNANDES DO CARMO CARVALHO ◽  
VICTOR COSTA ◽  
CESAR AUGUSTO CARDOSO ◽  
ANA LIA ANBINDER ◽  
ESTELA KAMINAGAKURA ◽  
...  

2021 ◽  
Vol 22 (22) ◽  
pp. 12215
Author(s):  
Francisco Javier Manzano-Moreno ◽  
Victor J. Costela-Ruiz ◽  
Enrique García-Recio ◽  
Maria Victoria Olmedo-Gaya ◽  
Concepción Ruiz ◽  
...  

Oral squamous cell carcinoma (OSCC) is the most prevalent oral malignant tumor worldwide. An early diagnosis can have a major positive impact on its prognosis. Human saliva contains cytokines, DNA and RNA molecules, circulating cells, and derivatives of tissues and extracellular vesicles, among other factors that can serve as biomarkers. Hence, the analysis of saliva may provide useful information for the early diagnosis of OSCC for its prognosis. The objective of this review was to determine the potential usefulness of salivary biomarkers (cytokines and microRNA) to diagnose OSCC and improve its prognosis. A combination of salivary miRNA and proteomic data could allow a definitive and early diagnosis to be obtained. However, there remains a need to optimize and standardize the protocols used to quantify miRNAs.


Bioengineered ◽  
2021 ◽  
Author(s):  
Mengxue Zhang ◽  
Xiao Chen ◽  
He Chen ◽  
Minyue Zhou ◽  
Yaoqiang Liu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document