Unknown

Dataset Information

Biomarker quantification by multiplexed quantum dot technology for predicting lymph node metastasis and prognosis in head and neck cancer.


ABSTRACT:

Purpose

To predict lymph node metastasis and prognosis in head and neck squamous cell carcinoma (HNSCC).

Results

The combination of membranous E-cadherin and membranous epidermal growth factor receptor (EGFR) quantified by QD technology with age, gender, and grade had greater predictive power than any of the single biomarkers or the two combined biomarkers quantified by conventional immunohistochemistry (IHC). The predictive power of this model was validated in another independent sample set; the predictive sensitivity of this model for LNM was 87.5%, with specificity up to 97.4%, and accuracy 92.9%. Furthermore, a higher membranous E-cadherin level was significantly correlated with better overall and disease-free survival (OS, DFS; P = 0.002, 0.033, respectively), while low

SUBMITTER: Hu Z 

PROVIDER: S-EPMC5190127 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature