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Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications

The standard of care for breast cancer has gradually evolved from empirical treatments based on clinical-pathological characteristics to the use of targeted approaches based on the molecular profile of the tumor. Consequently, an increasing number of molecularly targeted drugs have been developed. T...

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Autores principales: Toss, Angela, Piacentini, Federico, Cortesi, Laura, Artuso, Lucia, Bernardis, Isabella, Parenti, Sandra, Tenedini, Elena, Ficarra, Guido, Maiorana, Antonino, Iannone, Anna, Omarini, Claudia, Moscetti, Luca, Cristofanilli, Massimo, Federico, Massimo, Tagliafico, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114971/
https://www.ncbi.nlm.nih.gov/pubmed/30167082
http://dx.doi.org/10.18632/oncotarget.25810
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author Toss, Angela
Piacentini, Federico
Cortesi, Laura
Artuso, Lucia
Bernardis, Isabella
Parenti, Sandra
Tenedini, Elena
Ficarra, Guido
Maiorana, Antonino
Iannone, Anna
Omarini, Claudia
Moscetti, Luca
Cristofanilli, Massimo
Federico, Massimo
Tagliafico, Enrico
author_facet Toss, Angela
Piacentini, Federico
Cortesi, Laura
Artuso, Lucia
Bernardis, Isabella
Parenti, Sandra
Tenedini, Elena
Ficarra, Guido
Maiorana, Antonino
Iannone, Anna
Omarini, Claudia
Moscetti, Luca
Cristofanilli, Massimo
Federico, Massimo
Tagliafico, Enrico
author_sort Toss, Angela
collection PubMed
description The standard of care for breast cancer has gradually evolved from empirical treatments based on clinical-pathological characteristics to the use of targeted approaches based on the molecular profile of the tumor. Consequently, an increasing number of molecularly targeted drugs have been developed. These drugs target specific alterations, called driver mutations, which confer a survival advantage to cancer cells. To date, the main challenge remains the identification of predictive biomarkers for the selection of the optimal treatment. On this basis, we evaluated a panel of 25 genes involved in the mechanisms of targeted treatment resistance, in 16 primary breast cancers and their matched recurrences, developed during treatment. Overall, we found a detection rate of mutations higher than that described in the literature. In particular, the most frequently mutated genes were ERBB2 and those involved in the PI3K/AKT/mTOR and the MAPK signaling pathways. The study revealed substantial discordances between primary tumors and metastases, stressing the need for analysis of metastatic tissues at recurrence. We observed that 85.7% of patients with an early-stage or locally advanced primary tumor showed at least one mutation in the primary tumor. This finding could explain the subsequent relapse and might therefore justify more targeted adjuvant treatments. Finally, the mutations detected in 50% of relapsed tissues could have guided subsequent treatment choices in a different way. This study demonstrates that mutation events may be present at diagnosis or arise during cancer treatment. As a result, profiling primary and metastatic tumor tissues may be a major step in defining optimal treatments.
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spelling pubmed-61149712018-08-30 Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications Toss, Angela Piacentini, Federico Cortesi, Laura Artuso, Lucia Bernardis, Isabella Parenti, Sandra Tenedini, Elena Ficarra, Guido Maiorana, Antonino Iannone, Anna Omarini, Claudia Moscetti, Luca Cristofanilli, Massimo Federico, Massimo Tagliafico, Enrico Oncotarget Research Paper The standard of care for breast cancer has gradually evolved from empirical treatments based on clinical-pathological characteristics to the use of targeted approaches based on the molecular profile of the tumor. Consequently, an increasing number of molecularly targeted drugs have been developed. These drugs target specific alterations, called driver mutations, which confer a survival advantage to cancer cells. To date, the main challenge remains the identification of predictive biomarkers for the selection of the optimal treatment. On this basis, we evaluated a panel of 25 genes involved in the mechanisms of targeted treatment resistance, in 16 primary breast cancers and their matched recurrences, developed during treatment. Overall, we found a detection rate of mutations higher than that described in the literature. In particular, the most frequently mutated genes were ERBB2 and those involved in the PI3K/AKT/mTOR and the MAPK signaling pathways. The study revealed substantial discordances between primary tumors and metastases, stressing the need for analysis of metastatic tissues at recurrence. We observed that 85.7% of patients with an early-stage or locally advanced primary tumor showed at least one mutation in the primary tumor. This finding could explain the subsequent relapse and might therefore justify more targeted adjuvant treatments. Finally, the mutations detected in 50% of relapsed tissues could have guided subsequent treatment choices in a different way. This study demonstrates that mutation events may be present at diagnosis or arise during cancer treatment. As a result, profiling primary and metastatic tumor tissues may be a major step in defining optimal treatments. Impact Journals LLC 2018-08-03 /pmc/articles/PMC6114971/ /pubmed/30167082 http://dx.doi.org/10.18632/oncotarget.25810 Text en Copyright: © 2018 Toss et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Toss, Angela
Piacentini, Federico
Cortesi, Laura
Artuso, Lucia
Bernardis, Isabella
Parenti, Sandra
Tenedini, Elena
Ficarra, Guido
Maiorana, Antonino
Iannone, Anna
Omarini, Claudia
Moscetti, Luca
Cristofanilli, Massimo
Federico, Massimo
Tagliafico, Enrico
Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
title Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
title_full Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
title_fullStr Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
title_full_unstemmed Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
title_short Genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
title_sort genomic alterations at the basis of treatment resistance in metastatic breast cancer: clinical applications
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114971/
https://www.ncbi.nlm.nih.gov/pubmed/30167082
http://dx.doi.org/10.18632/oncotarget.25810
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