Clinical Research Papers:
Biomarker quantification by multiplexed quantum dot technology for predicting lymph node metastasis and prognosis in head and neck cancer
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Zhongliang Hu1,2,*, Guoqing Qian1,*, Susan Müller3, Jing Xu4, Nabil F. Saba1, Sungjin Kim5, Zhengjia Chen5,6, Ning Jiang1, Dongsheng Wang1, Hongzheng Zhang1, Kristin Lane7, Clifford Hoyt7, Dong M. Shin1, Zhuo Georgia Chen1
1Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
2Department of Pathology, Xiangya Hospital, Department of Pathology, Xiangya Medical School, Central South University, Changsha, Hunan, China
3Department of Otolaryngology, Emory University School of Medicine, Atlanta, GA, USA
4Department of Otolaryngology, Xiangya Hospital, Central South University, Changsha, Hunan, China
5Biostatistics and Bioinformatics Shared Resource at Winship Cancer Institute, Emory University, Atlanta, GA, USA
6Department of Biostatistics and Bioinformatics, Emory University School of Public Health, Atlanta, GA, USA
7Caliper/Perkin Elmer Life Sciences and Technology, Hopkinton, MA, USA
*These authors are contributed equally to this work
Zhuo Georgia Chen, email: firstname.lastname@example.org
Keywords: multiplexed quantum dot, head and neck squamous cell carcinoma, EGFR, E-cadherin
Received: September 18, 2015 Accepted: April 22, 2016 Published: May 09, 2016
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 lower cytoplasmic vimentin and membranous EGFR levels were significantly correlated with better OS (P = 0.016 and 0.021, respectively). The combined biomarkers showed a stronger prognostic value for OS and DFS than any of the single biomarkers.
Methods: Multiplexed quantum dots (QDs) were used to simultaneously label E-cadherin, vimentin, and EGFR with β-actin as an internal control. Primary tissue samples from 97 HNSCC patients, 49 with and 48 without LNM were included in the training set. Levels of membranous E-cadherin, cytoplasmic vimentin, and membranous EGFR were quantified by InForm software and correlated with clinical characteristics.
Conclusions: Multiplexed subcellular QD quantification of EGFR and E-cadherin is a potential strategy for the prediction of LNM, DFS, and OS of HNSCC patients.
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