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Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients

BACKGROUND: The anti-epidermal growth factor receptor (EGFR) monoclonal antibodies (moAbs) cetuximab or panitumumab are administered to colorectal cancer (CRC) patients who harbor wild-type RAS proto-oncogenes. However, a percentage of patients do not respond to this treatment. In addition to mutati...

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Autores principales: Lupini, Laura, Bassi, Cristian, Mlcochova, Jitka, Musa, Gentian, Russo, Marta, Vychytilova-Faltejskova, Petra, Svoboda, Marek, Sabbioni, Silvia, Nemecek, Radim, Slaby, Ondrej, Negrini, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4624582/
https://www.ncbi.nlm.nih.gov/pubmed/26508446
http://dx.doi.org/10.1186/s12885-015-1752-5
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author Lupini, Laura
Bassi, Cristian
Mlcochova, Jitka
Musa, Gentian
Russo, Marta
Vychytilova-Faltejskova, Petra
Svoboda, Marek
Sabbioni, Silvia
Nemecek, Radim
Slaby, Ondrej
Negrini, Massimo
author_facet Lupini, Laura
Bassi, Cristian
Mlcochova, Jitka
Musa, Gentian
Russo, Marta
Vychytilova-Faltejskova, Petra
Svoboda, Marek
Sabbioni, Silvia
Nemecek, Radim
Slaby, Ondrej
Negrini, Massimo
author_sort Lupini, Laura
collection PubMed
description BACKGROUND: The anti-epidermal growth factor receptor (EGFR) monoclonal antibodies (moAbs) cetuximab or panitumumab are administered to colorectal cancer (CRC) patients who harbor wild-type RAS proto-oncogenes. However, a percentage of patients do not respond to this treatment. In addition to mutations in the RAS genes, mutations in other genes, such as BRAF, PI3KCA, or PTEN, could be involved in the resistance to anti-EGFR moAb therapy. METHODS: In order to develop a comprehensive approach for the detection of mutations and to eventually identify other genes responsible for resistance to anti-EGFR moAbs, we investigated a panel of 21 genes by parallel sequencing on the Ion Torrent Personal Genome Machine platform. We sequenced 65 CRCs that were treated with cetuximab or panitumumab. Among these, 37 samples were responsive and 28 were resistant. RESULTS: We confirmed that mutations in EGFR-pathway genes (KRAS, NRAS, BRAF, PI3KCA) were relevant for conferring resistance to therapy and could predict response (p = 0.001). After exclusion of KRAS, NRAS, BRAF and PI3KCA combined mutations could still significantly associate to resistant phenotype (p = 0.045, by Fisher exact test). In addition, mutations in FBXW7 and SMAD4 were prevalent in cases that were non-responsive to anti-EGFR moAb. After we combined the mutations of all genes (excluding KRAS), the ability to predict response to therapy improved significantly (p = 0.002, by Fisher exact test). CONCLUSIONS: The combination of mutations at KRAS and at the five gene panel demonstrates the usefulness and feasibility of multigene sequencing to assess response to anti-EGFR moAbs. The application of parallel sequencing technology in clinical practice, in addition to its innate ability to simultaneously examine the genetic status of several cancer genes, proved to be more accurate and sensitive than the presently in use traditional approaches. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1752-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-46245822015-10-30 Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients Lupini, Laura Bassi, Cristian Mlcochova, Jitka Musa, Gentian Russo, Marta Vychytilova-Faltejskova, Petra Svoboda, Marek Sabbioni, Silvia Nemecek, Radim Slaby, Ondrej Negrini, Massimo BMC Cancer Research Article BACKGROUND: The anti-epidermal growth factor receptor (EGFR) monoclonal antibodies (moAbs) cetuximab or panitumumab are administered to colorectal cancer (CRC) patients who harbor wild-type RAS proto-oncogenes. However, a percentage of patients do not respond to this treatment. In addition to mutations in the RAS genes, mutations in other genes, such as BRAF, PI3KCA, or PTEN, could be involved in the resistance to anti-EGFR moAb therapy. METHODS: In order to develop a comprehensive approach for the detection of mutations and to eventually identify other genes responsible for resistance to anti-EGFR moAbs, we investigated a panel of 21 genes by parallel sequencing on the Ion Torrent Personal Genome Machine platform. We sequenced 65 CRCs that were treated with cetuximab or panitumumab. Among these, 37 samples were responsive and 28 were resistant. RESULTS: We confirmed that mutations in EGFR-pathway genes (KRAS, NRAS, BRAF, PI3KCA) were relevant for conferring resistance to therapy and could predict response (p = 0.001). After exclusion of KRAS, NRAS, BRAF and PI3KCA combined mutations could still significantly associate to resistant phenotype (p = 0.045, by Fisher exact test). In addition, mutations in FBXW7 and SMAD4 were prevalent in cases that were non-responsive to anti-EGFR moAb. After we combined the mutations of all genes (excluding KRAS), the ability to predict response to therapy improved significantly (p = 0.002, by Fisher exact test). CONCLUSIONS: The combination of mutations at KRAS and at the five gene panel demonstrates the usefulness and feasibility of multigene sequencing to assess response to anti-EGFR moAbs. The application of parallel sequencing technology in clinical practice, in addition to its innate ability to simultaneously examine the genetic status of several cancer genes, proved to be more accurate and sensitive than the presently in use traditional approaches. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1752-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-27 /pmc/articles/PMC4624582/ /pubmed/26508446 http://dx.doi.org/10.1186/s12885-015-1752-5 Text en © Lupini et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lupini, Laura
Bassi, Cristian
Mlcochova, Jitka
Musa, Gentian
Russo, Marta
Vychytilova-Faltejskova, Petra
Svoboda, Marek
Sabbioni, Silvia
Nemecek, Radim
Slaby, Ondrej
Negrini, Massimo
Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients
title Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients
title_full Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients
title_fullStr Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients
title_full_unstemmed Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients
title_short Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients
title_sort prediction of response to anti-egfr antibody-based therapies by multigene sequencing in colorectal cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4624582/
https://www.ncbi.nlm.nih.gov/pubmed/26508446
http://dx.doi.org/10.1186/s12885-015-1752-5
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