Cargando…
Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients
Molecular portraits of numerous tumors have flooded oncologists with vast amounts of data. In parallel, effective inhibitors of central pathways have shown great clinical benefit. Together, this promises potential clinical benefits to otherwise end-stage cancer patients. Here, we report a clinical s...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440149/ https://www.ncbi.nlm.nih.gov/pubmed/28514312 http://dx.doi.org/10.1097/MD.0000000000006931 |
_version_ | 1783238022754467840 |
---|---|
author | Zick, Aviad Peretz, Tamar Lotem, Michal Hubert, Ayala Katz, Daniela Temper, Mark Rottenberg, Yakir Uziely, Beatrice Nechushtan, Hovav Meirovitz, Amichai Sonnenblick, Amir Sapir, Eli Edelman, David Goldberg, Yael Lossos, Alexander Rosenberg, Shai Fried, Iris Finklstein, Ruth Pikarsky, Eli Goldshmidt, Hanoch |
author_facet | Zick, Aviad Peretz, Tamar Lotem, Michal Hubert, Ayala Katz, Daniela Temper, Mark Rottenberg, Yakir Uziely, Beatrice Nechushtan, Hovav Meirovitz, Amichai Sonnenblick, Amir Sapir, Eli Edelman, David Goldberg, Yael Lossos, Alexander Rosenberg, Shai Fried, Iris Finklstein, Ruth Pikarsky, Eli Goldshmidt, Hanoch |
author_sort | Zick, Aviad |
collection | PubMed |
description | Molecular portraits of numerous tumors have flooded oncologists with vast amounts of data. In parallel, effective inhibitors of central pathways have shown great clinical benefit. Together, this promises potential clinical benefits to otherwise end-stage cancer patients. Here, we report a clinical service offering mutation detection of archived samples using the ion Ampliseq cancer panel coupled with clinical consultation. A multidisciplinary think tank consisting of oncologists, molecular-biologists, genetic counselors, and pathologists discussed 67 heavily pretreated, advanced cancer patient cases, taking into account mutations identified using ion Ampliseq cancer panel, medical history, and relevant literature. The team generated a treatment plan, targeting specific mutations, for 41 out of 64 cases. Three patients died before results were available. For 32 patients, the treating oncologists chose not to include the panel recommendation in the treatment plan for various reasons. Nine patients were treated as recommended by the panel, 5 with clinical benefit, and 4 with disease progression. This study suggests that routine use of massive parallel tumor sequencing is feasible and can judiciously affect treatment decisions when coupled with multidisciplinary team-based decision making. Administration of personalized based therapies at an earlier stage of disease, expansion of genetic alterations examined, and increased availability of targeted therapies may lead to further improvement in the clinical outcome of metastatic cancer patients. |
format | Online Article Text |
id | pubmed-5440149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-54401492017-05-25 Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients Zick, Aviad Peretz, Tamar Lotem, Michal Hubert, Ayala Katz, Daniela Temper, Mark Rottenberg, Yakir Uziely, Beatrice Nechushtan, Hovav Meirovitz, Amichai Sonnenblick, Amir Sapir, Eli Edelman, David Goldberg, Yael Lossos, Alexander Rosenberg, Shai Fried, Iris Finklstein, Ruth Pikarsky, Eli Goldshmidt, Hanoch Medicine (Baltimore) 5700 Molecular portraits of numerous tumors have flooded oncologists with vast amounts of data. In parallel, effective inhibitors of central pathways have shown great clinical benefit. Together, this promises potential clinical benefits to otherwise end-stage cancer patients. Here, we report a clinical service offering mutation detection of archived samples using the ion Ampliseq cancer panel coupled with clinical consultation. A multidisciplinary think tank consisting of oncologists, molecular-biologists, genetic counselors, and pathologists discussed 67 heavily pretreated, advanced cancer patient cases, taking into account mutations identified using ion Ampliseq cancer panel, medical history, and relevant literature. The team generated a treatment plan, targeting specific mutations, for 41 out of 64 cases. Three patients died before results were available. For 32 patients, the treating oncologists chose not to include the panel recommendation in the treatment plan for various reasons. Nine patients were treated as recommended by the panel, 5 with clinical benefit, and 4 with disease progression. This study suggests that routine use of massive parallel tumor sequencing is feasible and can judiciously affect treatment decisions when coupled with multidisciplinary team-based decision making. Administration of personalized based therapies at an earlier stage of disease, expansion of genetic alterations examined, and increased availability of targeted therapies may lead to further improvement in the clinical outcome of metastatic cancer patients. Wolters Kluwer Health 2017-05-19 /pmc/articles/PMC5440149/ /pubmed/28514312 http://dx.doi.org/10.1097/MD.0000000000006931 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0 |
spellingShingle | 5700 Zick, Aviad Peretz, Tamar Lotem, Michal Hubert, Ayala Katz, Daniela Temper, Mark Rottenberg, Yakir Uziely, Beatrice Nechushtan, Hovav Meirovitz, Amichai Sonnenblick, Amir Sapir, Eli Edelman, David Goldberg, Yael Lossos, Alexander Rosenberg, Shai Fried, Iris Finklstein, Ruth Pikarsky, Eli Goldshmidt, Hanoch Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
title | Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
title_full | Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
title_fullStr | Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
title_full_unstemmed | Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
title_short | Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
title_sort | treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440149/ https://www.ncbi.nlm.nih.gov/pubmed/28514312 http://dx.doi.org/10.1097/MD.0000000000006931 |
work_keys_str_mv | AT zickaviad treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT peretztamar treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT lotemmichal treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT hubertayala treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT katzdaniela treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT tempermark treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT rottenbergyakir treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT uzielybeatrice treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT nechushtanhovav treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT meirovitzamichai treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT sonnenblickamir treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT sapireli treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT edelmandavid treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT goldbergyael treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT lossosalexander treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT rosenbergshai treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT friediris treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT finklsteinruth treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT pikarskyeli treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients AT goldshmidthanoch treatmentinferredfrommutationsidentifiedusingmassiveparallelsequencingleadstoclinicalbenefitinsomeheavilypretreatedcancerpatients |