10.6084/m9.figshare.7808441.v1
Binbin Yu
Binbin
Yu
Wei Cao
Wei
Cao
Chenping Zhang
Chenping
Zhang
Ronghui Xia
Ronghui
Xia
Jinlin Liu
Jinlin
Liu
Ming Yan
Ming
Yan
Wantao Chen
Wantao
Chen
Prediction of lymph node metastasis in oral squamous cell carcinoma based on protein profile
Taylor & Francis Group
2019
lymph node metastasis
oral squamous cell carcinoma
prediction model
2019-03-06 13:43:27
Dataset
https://tandf.figshare.com/articles/dataset/Prediction_of_lymph_node_metastasis_in_oral_squamous_cell_carcinoma_based_on_protein_profile/7808441
<p><b>Objective</b>: Lymph node metastasis leads to high mortality rates of oral squamous cell carcinoma (OSCC). However, it is still controversial to define clinically negative neck (cN0) and positive neck (cN1-3).</p> <p><b>Methods</b>: We retrieved candidate biomarkers identified by proteomic analysis in OSCC from published works of literature. In training stage, immunohistochemistry (IHC) analysis was used to determine the expression of proteins and logistic regression models with stepwise variable selection were used to identify potential factors that might affect lymph node metastasis and life status. Furthermore, the prediction model was validated in validating stage.</p> <p><b>Results</b>: We screened eight highly expressed proteins related to lymph node metastasis in OSCC and found that the expression levels of SOD2, BST2, CAD, ITGB6, and PRDX4 were significantly elevated in patients with lymph node metastasis compared to the patients without lymph node metastasis. Furthermore, in training and validating stages, the prediction model base on the combination of CAD, SOD2 expression levels, and histopathologic grade was developed and validated in patients with OSCC.</p> <p><b>Conclusions</b>: Our findings showed that the developed model well predicts the lymph node metastasis and life status in patients with OSCC, independent of TNM stage.</p>