Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma

The presence of lymph node (LN) metastasis significantly affects the survival of patients with oral squamous cell carcinoma (OSCC). Successful detection and removal of positive LNs are crucial in the treatment of this disease. Current evaluation methods still have their limitations in detecting the...

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Main Authors: Zanaruddin, S.N.S., Saleh, A., Yang, Y.H., Hamid, S., Mustafa, W.M.W., Bariah, A., Zain, R.B., Lau, S.H., Cheong, S.C.
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Language:English
English
Published: 2013
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Online Access:http://eprints.um.edu.my/7740/2/Four-protein_signature_accurately_predicts_lymph_node_metastasis_and_survival_in_oral_squamous_cell_carcinoma.pdf
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spelling my.um.eprints.77402014-10-29T00:45:55Z http://eprints.um.edu.my/7740/ Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma Zanaruddin, S.N.S. Saleh, A. Yang, Y.H. Hamid, S. Mustafa, W.M.W. Bariah, A. Zain, R.B. Lau, S.H. Cheong, S.C. RK Dentistry The presence of lymph node (LN) metastasis significantly affects the survival of patients with oral squamous cell carcinoma (OSCC). Successful detection and removal of positive LNs are crucial in the treatment of this disease. Current evaluation methods still have their limitations in detecting the presence of tumor cells in the LNs, where up to a third of clinically diagnosed metastasis-negative (NO) patients actually have metastasis-positive LNs in the neck. We developed a molecular signature in the primary tumor that could predict LN metastasis in OSCC. A total of 211 cores from 55 individuals were included in the study. Eleven proteins were evaluated using immunohistochemical analysis in a tissue microarray. Of the 11 biomarkers evaluated using receiver operating curve analysis, epidermal growth factor receptor (EGFR), v-erb-b2 erythroblastic leukemia viral oncogene homolog 2 (BER-2/neu), laminin, gamma 2 (LAMC2), and ras homolog family member C (RHOC) were found to be significantly associated with the presence of LN metastasis. Unsupervised hierarchical clustering demonstrated expression patterns of these 4 proteins could be used to differentiate specimens that have positive LN metastasis from those that are negative for LN metastasis. Collectively, EGFR, HER-2/neu, LAMC2, and RHOC have a specificity of 87.5 and a sensitivity of 70, with a prognostic accuracy of 83.4 for LN metastasis. We also demonstrated that the LN signature could independently predict disease-specific survival (P = .036). The 4-protein LN signature validated in an independent set of samples strongly suggests that it could reliably distinguish patients with LN metastasis from those who were metastasis-free and therefore could be a prognostic tool for the management of patients with OSCC. (C) 2013 Elsevier Inc. All rights reserved. 2013 Article PeerReviewed application/pdf en http://eprints.um.edu.my/7740/2/Four-protein_signature_accurately_predicts_lymph_node_metastasis_and_survival_in_oral_squamous_cell_carcinoma.pdf application/pdf en http://eprints.um.edu.my/7740/1/four-protein.pdf Zanaruddin, S.N.S. and Saleh, A. and Yang, Y.H. and Hamid, S. and Mustafa, W.M.W. and Bariah, A. and Zain, R.B. and Lau, S.H. and Cheong, S.C. (2013) Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma. Human Pathology, 44 (3). pp. 417-426. ISSN 0046-8177 10.1016/j.humpath.2012.06.007
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
English
topic RK Dentistry
spellingShingle RK Dentistry
Zanaruddin, S.N.S.
Saleh, A.
Yang, Y.H.
Hamid, S.
Mustafa, W.M.W.
Bariah, A.
Zain, R.B.
Lau, S.H.
Cheong, S.C.
Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
description The presence of lymph node (LN) metastasis significantly affects the survival of patients with oral squamous cell carcinoma (OSCC). Successful detection and removal of positive LNs are crucial in the treatment of this disease. Current evaluation methods still have their limitations in detecting the presence of tumor cells in the LNs, where up to a third of clinically diagnosed metastasis-negative (NO) patients actually have metastasis-positive LNs in the neck. We developed a molecular signature in the primary tumor that could predict LN metastasis in OSCC. A total of 211 cores from 55 individuals were included in the study. Eleven proteins were evaluated using immunohistochemical analysis in a tissue microarray. Of the 11 biomarkers evaluated using receiver operating curve analysis, epidermal growth factor receptor (EGFR), v-erb-b2 erythroblastic leukemia viral oncogene homolog 2 (BER-2/neu), laminin, gamma 2 (LAMC2), and ras homolog family member C (RHOC) were found to be significantly associated with the presence of LN metastasis. Unsupervised hierarchical clustering demonstrated expression patterns of these 4 proteins could be used to differentiate specimens that have positive LN metastasis from those that are negative for LN metastasis. Collectively, EGFR, HER-2/neu, LAMC2, and RHOC have a specificity of 87.5 and a sensitivity of 70, with a prognostic accuracy of 83.4 for LN metastasis. We also demonstrated that the LN signature could independently predict disease-specific survival (P = .036). The 4-protein LN signature validated in an independent set of samples strongly suggests that it could reliably distinguish patients with LN metastasis from those who were metastasis-free and therefore could be a prognostic tool for the management of patients with OSCC. (C) 2013 Elsevier Inc. All rights reserved.
format Article
author Zanaruddin, S.N.S.
Saleh, A.
Yang, Y.H.
Hamid, S.
Mustafa, W.M.W.
Bariah, A.
Zain, R.B.
Lau, S.H.
Cheong, S.C.
author_facet Zanaruddin, S.N.S.
Saleh, A.
Yang, Y.H.
Hamid, S.
Mustafa, W.M.W.
Bariah, A.
Zain, R.B.
Lau, S.H.
Cheong, S.C.
author_sort Zanaruddin, S.N.S.
title Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
title_short Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
title_full Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
title_fullStr Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
title_full_unstemmed Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
title_sort four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
publishDate 2013
url http://eprints.um.edu.my/7740/2/Four-protein_signature_accurately_predicts_lymph_node_metastasis_and_survival_in_oral_squamous_cell_carcinoma.pdf
http://eprints.um.edu.my/7740/1/four-protein.pdf
http://eprints.um.edu.my/7740/
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