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Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome

It still remains to be demonstrated that using molecular profiling to guide therapy improves patient outcome in oncology. Classification of somatic variants is not straightforward, rendering treatment decisions based on variants with unknown significance (VUS) hard to implement. The oncogenic activi...

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Autores principales: Kamal, Maud, Tarcic, Gabi, Dureau, Sylvain, Edelheit, Oded, Barbash, Zohar, Lecerf, Charlotte, Morel, Claire, Miron, Benjamin, Callens, Celine, Servant, Nicolas, Bieche, Ivan, Vidne, Michael, Le Tourneau, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928387/
https://www.ncbi.nlm.nih.gov/pubmed/29464843
http://dx.doi.org/10.1002/1878-0261.12180
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author Kamal, Maud
Tarcic, Gabi
Dureau, Sylvain
Edelheit, Oded
Barbash, Zohar
Lecerf, Charlotte
Morel, Claire
Miron, Benjamin
Callens, Celine
Servant, Nicolas
Bieche, Ivan
Vidne, Michael
Le Tourneau, Christophe
author_facet Kamal, Maud
Tarcic, Gabi
Dureau, Sylvain
Edelheit, Oded
Barbash, Zohar
Lecerf, Charlotte
Morel, Claire
Miron, Benjamin
Callens, Celine
Servant, Nicolas
Bieche, Ivan
Vidne, Michael
Le Tourneau, Christophe
author_sort Kamal, Maud
collection PubMed
description It still remains to be demonstrated that using molecular profiling to guide therapy improves patient outcome in oncology. Classification of somatic variants is not straightforward, rendering treatment decisions based on variants with unknown significance (VUS) hard to implement. The oncogenic activity of VUS and mutations identified in 12 patients treated with molecularly targeted agents (MTAs) in the frame of SHIVA01 trial was assessed using Functional Annotation for Cancer Treatment (FACT). MTA response prediction was measured in vitro, blinded to the actual clinical trial results, and survival predictions according to FACT were correlated with the actual PFS of SHIVA01 patients. Patients with positive prediction had a median PFS of 5.8 months versus 1.7 months in patients with negative prediction (P < 0.05). Our results highlight the role of the functional interpretation of molecular profiles to predict MTA response.
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spelling pubmed-59283872018-05-07 Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome Kamal, Maud Tarcic, Gabi Dureau, Sylvain Edelheit, Oded Barbash, Zohar Lecerf, Charlotte Morel, Claire Miron, Benjamin Callens, Celine Servant, Nicolas Bieche, Ivan Vidne, Michael Le Tourneau, Christophe Mol Oncol Research Articles It still remains to be demonstrated that using molecular profiling to guide therapy improves patient outcome in oncology. Classification of somatic variants is not straightforward, rendering treatment decisions based on variants with unknown significance (VUS) hard to implement. The oncogenic activity of VUS and mutations identified in 12 patients treated with molecularly targeted agents (MTAs) in the frame of SHIVA01 trial was assessed using Functional Annotation for Cancer Treatment (FACT). MTA response prediction was measured in vitro, blinded to the actual clinical trial results, and survival predictions according to FACT were correlated with the actual PFS of SHIVA01 patients. Patients with positive prediction had a median PFS of 5.8 months versus 1.7 months in patients with negative prediction (P < 0.05). Our results highlight the role of the functional interpretation of molecular profiles to predict MTA response. John Wiley and Sons Inc. 2018-03-30 2018-05 /pmc/articles/PMC5928387/ /pubmed/29464843 http://dx.doi.org/10.1002/1878-0261.12180 Text en © 2018 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Kamal, Maud
Tarcic, Gabi
Dureau, Sylvain
Edelheit, Oded
Barbash, Zohar
Lecerf, Charlotte
Morel, Claire
Miron, Benjamin
Callens, Celine
Servant, Nicolas
Bieche, Ivan
Vidne, Michael
Le Tourneau, Christophe
Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
title Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
title_full Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
title_fullStr Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
title_full_unstemmed Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
title_short Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
title_sort revisited analysis of a shiva01 trial cohort using functional mutational analyses successfully predicted treatment outcome
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928387/
https://www.ncbi.nlm.nih.gov/pubmed/29464843
http://dx.doi.org/10.1002/1878-0261.12180
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