Development and validation of a multivariable prediction model for the identification of occult lymph node metastasis in oral squamous cell carcinoma

Head & Neck ◽  
2020 ◽  
Vol 42 (8) ◽  
pp. 1811-1820 ◽  
Author(s):  
Maxime Mermod ◽  
Eva‐Francesca Jourdan ◽  
Ruta Gupta ◽  
Massimo Bongiovanni ◽  
Genrich Tolstonog ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Squamous Cell Carcinoma ◽  
Prediction Model ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Node Metastasis ◽  
Development And Validation ◽  
Occult Lymph Node Metastasis

scholarly journals A Combined Prediction Model for Lymph Node Metastasis Based on a Molecular Panel and Clinicopathological Factors in Oral Squamous Cell Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Shu Wang ◽  
Tiancheng Li ◽  
Huan Liu ◽  
Wei Wei ◽  
Yang Yang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Squamous Cell Carcinoma ◽  
Prediction Model ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Clinicopathological Parameters ◽  
Pathological Grade ◽  
Node Metastasis

ObjectiveLymph node metastasis is the most important factor influencing the prognosis of oral squamous cell carcinoma (OSCC) patients. However, there is no proper method for predicting lymph node metastasis. This study aimed to construct and validate a preoperative prediction model for lymph node metastasis and guide personalized neck management based on the gene expression profile and clinicopathological parameters of OSCC.MethodsBased on a previous study of related genes in OSCC, the mRNA expression of candidate genes was evaluated by real-time PCR in OSCC specimens. In this retrospective study, the gene expression profile and clinicopathological parameters of 112 OSCC patients were combined to construct the best prediction model for lymph node metastasis of OSCC. The model was validated with 95 OSCC samples in this study. Logistic regression analysis was used. The area under the curve (AUC) ultimately determined the diagnostic value of the prediction model.ResultsThe two genes CDKN2A + PLAU were closely related to lymph node metastasis of oral squamous cell carcinoma. The model with the combination of CDKN2A, PLAU, T stage and pathological grade was the best in predicting lymph node metastasis (AUC = 0.807, 95% CI: 0.713-0.881, P=0.0001). The prediction model had a specificity of 96% and sensitivity of 72.73% for stage T1 and T2 OSCC (AUC = 0.855, 95% CI: 0.697-0.949, P=0.0001).ConclusionsHigh expression of CDKN2A and PLAU was associated with lymph node metastasis in OSCC. The prediction model including CDKN2A, PLAU, T stage and pathological grade can be used as the best diagnostic model for lymph node metastasis in OSCC.

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

SOX4 expression is closely associated with differentiation and lymph node metastasis in oral squamous cell carcinoma

2013 ◽  
Vol 47 (3) ◽  
pp. 150-155 ◽  
Author(s):  
Masahiro Watanabe ◽  
Yuichi Ohnishi ◽  
Masahiro Wato ◽  
Akio Tanaka ◽  
Kenji Kakudo
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Node Metastasis

Prediction of lymph node metastasis in oral squamous cell carcinoma based on protein profile

2019 ◽  
Vol 16 (4) ◽  
pp. 363-373
Author(s):  
Binbin Yu ◽  
Wei Cao ◽  
Chenping Zhang ◽  
Ronghui Xia ◽  
Jinlin Liu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Protein Profile ◽  
Node Metastasis
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