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Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?

Prediction of benefit from combined chemotherapy and the antiepidermal growth factor receptor cetuximab is a not yet solved question in head and neck squamous cell carcinoma (HNSCC). In a selected series of 14 long progression-free survival (PFS) and 26 short PFS patients by whole gene and microRNA...

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Autores principales: Bossi, Paolo, Siano, Marco, Bergamini, Cristiana, Cossu Rocca, Maria, Sponghini, Andrea P., Giannoccaro, Marco, Tonella, Luca, Paoli, Alessandro, Marchesi, Edoardo, Perrone, Federica, Pilotti, Silvana, Locati, Laura D., Canevari, Silvana, Licitra, Lisa, De Cecco, Loris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702394/
https://www.ncbi.nlm.nih.gov/pubmed/29259349
http://dx.doi.org/10.1155/2017/6870614
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author Bossi, Paolo
Siano, Marco
Bergamini, Cristiana
Cossu Rocca, Maria
Sponghini, Andrea P.
Giannoccaro, Marco
Tonella, Luca
Paoli, Alessandro
Marchesi, Edoardo
Perrone, Federica
Pilotti, Silvana
Locati, Laura D.
Canevari, Silvana
Licitra, Lisa
De Cecco, Loris
author_facet Bossi, Paolo
Siano, Marco
Bergamini, Cristiana
Cossu Rocca, Maria
Sponghini, Andrea P.
Giannoccaro, Marco
Tonella, Luca
Paoli, Alessandro
Marchesi, Edoardo
Perrone, Federica
Pilotti, Silvana
Locati, Laura D.
Canevari, Silvana
Licitra, Lisa
De Cecco, Loris
author_sort Bossi, Paolo
collection PubMed
description Prediction of benefit from combined chemotherapy and the antiepidermal growth factor receptor cetuximab is a not yet solved question in head and neck squamous cell carcinoma (HNSCC). In a selected series of 14 long progression-free survival (PFS) and 26 short PFS patients by whole gene and microRNA expression analysis, we developed a model potentially predictive of cetuximab sensitivity. To better decipher the “omics” profile of our patients, we detected transcript fusions by RNA-seq through a Pan-Cancer panel targeting 1385 cancer genes. Twenty-seven different fusion transcripts, involving mRNA and long noncoding RNA (lncRNA), were identified. The majority of fusions (81%) were intrachromosomal, and 24 patients (60%) harbor at least one of them. The presence/absence of fusions and the presence of more than one fusion were not related to outcome, while the lncRNA-containing fusions resulted enriched in long PFS patients (P = 0.0027). The CD274-PDCD1LG2 fusion was present in 7/14 short PFS patients harboring fusions and was absent in long PFS patients (P = 0.0188). Among the short PFS patients, those harboring this fusion had the worst outcome (P = 0.0172) and increased K-RAS activation (P = 0.00147). The associations between HNSCC patient's outcome following cetuximab treatment and lncRNA-containing fusions or the CD274-PDCD1LG2 fusion deserve validation in prospective clinical trials.
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spelling pubmed-57023942017-12-19 Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies? Bossi, Paolo Siano, Marco Bergamini, Cristiana Cossu Rocca, Maria Sponghini, Andrea P. Giannoccaro, Marco Tonella, Luca Paoli, Alessandro Marchesi, Edoardo Perrone, Federica Pilotti, Silvana Locati, Laura D. Canevari, Silvana Licitra, Lisa De Cecco, Loris Dis Markers Research Article Prediction of benefit from combined chemotherapy and the antiepidermal growth factor receptor cetuximab is a not yet solved question in head and neck squamous cell carcinoma (HNSCC). In a selected series of 14 long progression-free survival (PFS) and 26 short PFS patients by whole gene and microRNA expression analysis, we developed a model potentially predictive of cetuximab sensitivity. To better decipher the “omics” profile of our patients, we detected transcript fusions by RNA-seq through a Pan-Cancer panel targeting 1385 cancer genes. Twenty-seven different fusion transcripts, involving mRNA and long noncoding RNA (lncRNA), were identified. The majority of fusions (81%) were intrachromosomal, and 24 patients (60%) harbor at least one of them. The presence/absence of fusions and the presence of more than one fusion were not related to outcome, while the lncRNA-containing fusions resulted enriched in long PFS patients (P = 0.0027). The CD274-PDCD1LG2 fusion was present in 7/14 short PFS patients harboring fusions and was absent in long PFS patients (P = 0.0188). Among the short PFS patients, those harboring this fusion had the worst outcome (P = 0.0172) and increased K-RAS activation (P = 0.00147). The associations between HNSCC patient's outcome following cetuximab treatment and lncRNA-containing fusions or the CD274-PDCD1LG2 fusion deserve validation in prospective clinical trials. Hindawi 2017 2017-11-12 /pmc/articles/PMC5702394/ /pubmed/29259349 http://dx.doi.org/10.1155/2017/6870614 Text en Copyright © 2017 Paolo Bossi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bossi, Paolo
Siano, Marco
Bergamini, Cristiana
Cossu Rocca, Maria
Sponghini, Andrea P.
Giannoccaro, Marco
Tonella, Luca
Paoli, Alessandro
Marchesi, Edoardo
Perrone, Federica
Pilotti, Silvana
Locati, Laura D.
Canevari, Silvana
Licitra, Lisa
De Cecco, Loris
Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?
title Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?
title_full Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?
title_fullStr Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?
title_full_unstemmed Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?
title_short Are Fusion Transcripts in Relapsed/Metastatic Head and Neck Cancer Patients Predictive of Response to Anti-EGFR Therapies?
title_sort are fusion transcripts in relapsed/metastatic head and neck cancer patients predictive of response to anti-egfr therapies?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702394/
https://www.ncbi.nlm.nih.gov/pubmed/29259349
http://dx.doi.org/10.1155/2017/6870614
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