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Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer
PURPOSE: Local recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3739775/ https://www.ncbi.nlm.nih.gov/pubmed/23950933 http://dx.doi.org/10.1371/journal.pone.0070429 |
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author | Fountzilas, Elena Kotoula, Vassiliki Angouridakis, Nikolaos Karasmanis, Ilias Wirtz, Ralph M. Eleftheraki, Anastasia G. Veltrup, Elke Markou, Konstantinos Nikolaou, Angelos Pectasides, Dimitrios Fountzilas, George |
author_facet | Fountzilas, Elena Kotoula, Vassiliki Angouridakis, Nikolaos Karasmanis, Ilias Wirtz, Ralph M. Eleftheraki, Anastasia G. Veltrup, Elke Markou, Konstantinos Nikolaou, Angelos Pectasides, Dimitrios Fountzilas, George |
author_sort | Fountzilas, Elena |
collection | PubMed |
description | PURPOSE: Local recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identify patients at high risk for recurrence. This study attempts to identify and independently validate gene expression models, prognostic of disease-free survival (DFS) in operable laryngeal cancer. MATERIALS AND METHODS: Using Affymetrix U133A Genechips, we profiled fresh-frozen tumor tissues from 66 patients with laryngeal cancer treated locally with surgery. We applied Cox regression proportional hazards modeling to identify multigene predictors of recurrence. Gene models were then validated in two independent cohorts of 54 and 187 patients (fresh-frozen and formalin-fixed tissue validation sets, respectively). RESULTS: We focused on genes univariately associated with DFS (p<0.01) in the training set. Among several models comprising different numbers of genes, a 30-probe set model demonstrated optimal performance in both the training (log-rank, p<0.001) and 1(st) validation (p = 0.010) sets. Specifically, in the 1(st) validation set, median DFS as predicted by the 30-probe set model, was 34 and 80 months for high- and low-risk patients, respectively. Hazard ratio (HR) for recurrence in the high-risk group was 3.87 (95% CI 1.28–11.73, Wald's p = 0.017). Testing the expression of selected genes from the above model in the 2(nd) validation set, with qPCR, revealed significant associations of single markers, such as ACE2, FLOT1 and PRKD1, with patient DFS. High PRKD1 remained an unfavorable prognostic marker upon multivariate analysis (HR = 2.00, 95% CI 1.28–3.14, p = 0.002) along with positive nodal status. CONCLUSIONS: We have established and validated gene models that can successfully stratify patients with laryngeal cancer, based on their risk for recurrence. It seems worthy to prospectively validate PRKD1 expression as a laryngeal cancer prognostic marker, for routine clinical applications. |
format | Online Article Text |
id | pubmed-3739775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37397752013-08-15 Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer Fountzilas, Elena Kotoula, Vassiliki Angouridakis, Nikolaos Karasmanis, Ilias Wirtz, Ralph M. Eleftheraki, Anastasia G. Veltrup, Elke Markou, Konstantinos Nikolaou, Angelos Pectasides, Dimitrios Fountzilas, George PLoS One Research Article PURPOSE: Local recurrence is the major manifestation of treatment failure in patients with operable laryngeal carcinoma. Established clinicopathological factors cannot sufficiently predict patients that are likely to recur after treatment. Additional tools are therefore required to accurately identify patients at high risk for recurrence. This study attempts to identify and independently validate gene expression models, prognostic of disease-free survival (DFS) in operable laryngeal cancer. MATERIALS AND METHODS: Using Affymetrix U133A Genechips, we profiled fresh-frozen tumor tissues from 66 patients with laryngeal cancer treated locally with surgery. We applied Cox regression proportional hazards modeling to identify multigene predictors of recurrence. Gene models were then validated in two independent cohorts of 54 and 187 patients (fresh-frozen and formalin-fixed tissue validation sets, respectively). RESULTS: We focused on genes univariately associated with DFS (p<0.01) in the training set. Among several models comprising different numbers of genes, a 30-probe set model demonstrated optimal performance in both the training (log-rank, p<0.001) and 1(st) validation (p = 0.010) sets. Specifically, in the 1(st) validation set, median DFS as predicted by the 30-probe set model, was 34 and 80 months for high- and low-risk patients, respectively. Hazard ratio (HR) for recurrence in the high-risk group was 3.87 (95% CI 1.28–11.73, Wald's p = 0.017). Testing the expression of selected genes from the above model in the 2(nd) validation set, with qPCR, revealed significant associations of single markers, such as ACE2, FLOT1 and PRKD1, with patient DFS. High PRKD1 remained an unfavorable prognostic marker upon multivariate analysis (HR = 2.00, 95% CI 1.28–3.14, p = 0.002) along with positive nodal status. CONCLUSIONS: We have established and validated gene models that can successfully stratify patients with laryngeal cancer, based on their risk for recurrence. It seems worthy to prospectively validate PRKD1 expression as a laryngeal cancer prognostic marker, for routine clinical applications. Public Library of Science 2013-08-09 /pmc/articles/PMC3739775/ /pubmed/23950933 http://dx.doi.org/10.1371/journal.pone.0070429 Text en © 2013 Fountzilas et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Fountzilas, Elena Kotoula, Vassiliki Angouridakis, Nikolaos Karasmanis, Ilias Wirtz, Ralph M. Eleftheraki, Anastasia G. Veltrup, Elke Markou, Konstantinos Nikolaou, Angelos Pectasides, Dimitrios Fountzilas, George Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer |
title | Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer |
title_full | Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer |
title_fullStr | Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer |
title_full_unstemmed | Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer |
title_short | Identification and Validation of a Multigene Predictor of Recurrence in Primary Laryngeal Cancer |
title_sort | identification and validation of a multigene predictor of recurrence in primary laryngeal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3739775/ https://www.ncbi.nlm.nih.gov/pubmed/23950933 http://dx.doi.org/10.1371/journal.pone.0070429 |
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