scholarly journals Low-risk population among patients with tumor-node-metastasis stage III/IV oral squamous cell carcinoma

2017 ◽  
Vol 14 (3) ◽  
pp. 3711-3716 ◽  
Author(s):  
Tohru Ikeda ◽  
Sachiko Seki ◽  
Mutsunori Fujiwara ◽  
Masaaki Matsuura ◽  
Yuu Ozaki-Honda ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Low Risk ◽  
Stage Iii ◽  
Tumor Node Metastasis ◽  
Risk Population ◽  
Node Metastasis ◽  
Tumor Node Metastasis Stage

Knockdown of Nav1.5 inhibits cell proliferation, migration and invasion via Wnt/β-catenin signaling pathway in oral squamous cell carcinoma

2020 ◽  
Vol 52 (5) ◽  
pp. 527-535 ◽  
Author(s):  
Xiaoli Xu ◽  
Yongzheng Dai ◽  
Linfei Feng ◽  
Hongli Zhang ◽  
Yukun Hu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Signaling Pathway ◽  
Squamous Cell ◽  
Migration And Invasion ◽  
High Recurrence Rate ◽  
Lymphocyte Ratio ◽  
Node Metastasis ◽  
Tumor Node Metastasis Stage

Abstract Oral squamous cell carcinoma (OSCC) is a common type of malignant oral cancer that has a high recurrence rate. Voltage-gated sodium channel Nav1.5 was reported to be highly up-regulated in various types of cancers. However, the regulatory mechanism of Nav1.5 in cancers including OSCC still remains elusive. In this study, Nav1.5 was found to be highly expressed in OSCC tissues and cells. Through the analysis of clinical characteristics of patients, we found that the expression level of Nav1.5 was closely related to neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, tumor-node-metastasis stage, and lymph node metastasis. Moreover, we found that Nav1.5 mainly located on the cell membrane as well as cytoplasm and knockdown of Nav1.5 promoted cell apoptosis and decreased proliferation in OSCC. Transwell assay results showed that knockdown of Nav1.5 effectively suppressed the migration and invasion in OSCC. In addition, knockdown of Nav1.5 was found to inhibit the protein and mRNA expression levels of β-catenin, cyclin D1, and c-Myc in the Wnt/β-catenin signaling pathway. In summary, these results indicated that Nav1.5 may be involved in the progression of OSCC through the Wnt/β-catenin signaling pathway.

scholarly journals Lymphangiogenesis and Lymph Node Metastasis in Oral Squamous Cell Carcinoma

2018 ◽  
Vol 38 (11) ◽  
pp. 6157-6162 ◽  
Author(s):  
SATOMI ARIMOTO ◽  
TAKUMI HASEGAWA ◽  
DAISUKE TAKEDA ◽  
IZUMI SAITO ◽  
RIKA AMANO ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Node Metastasis

scholarly journals Saliva protein biomarkers to detect oral squamous cell carcinoma in a high-risk population in Taiwan

2016 ◽  
Vol 113 (41) ◽  
pp. 11549-11554 ◽  
Author(s):  
Jau-Song Yu ◽  
Yi-Ting Chen ◽  
Wei-Fan Chiang ◽  
Yung-Chin Hsiao ◽  
Lichieh Julie Chu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Oral Cancer ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Low Risk ◽  
Healthy Controls ◽  
Protein Biomarkers

Most cases of oral squamous cell carcinoma (OSCC) develop from visible oral potentially malignant disorders (OPMDs). The latter exhibit heterogeneous subtypes with different transformation potentials, complicating the early detection of OSCC during routine visual oral cancer screenings. To develop clinically applicable biomarkers, we collected saliva samples from 96 healthy controls, 103 low-risk OPMDs, 130 high-risk OPMDs, and 131 OSCC subjects. These individuals were enrolled in Taiwan’s Oral Cancer Screening Program. We identified 302 protein biomarkers reported in the literature and/or through in-house studies and prioritized 49 proteins for quantification in the saliva samples using multiple reaction monitoring-MS. Twenty-eight proteins were successfully quantified with high confidence. The quantification data from non-OSCC subjects (healthy controls + low-risk OPMDs) and OSCC subjects in the training set were subjected to classification and regression tree analyses, through which we generated a four-protein panel consisting of MMP1, KNG1, ANXA2, and HSPA5. A risk-score scheme was established, and the panel showed high sensitivity (87.5%) and specificity (80.5%) in the test set to distinguish OSCC samples from non-OSCC samples. The risk score >0.4 detected 84% (42/50) of the stage I OSCCs and a significant portion (42%) of the high-risk OPMDs. Moreover, among 88 high-risk OPMD patients with available follow-up results, 18 developed OSCC within 5 y; of them, 77.8% (14/18) had risk scores >0.4. Our four-protein panel may therefore offer a clinically effective tool for detecting OSCC and monitoring high-risk OPMDs through a readily available biofluid.

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