TY - JOUR
T1 - Genomic alterations at the basis of treatment resistance in metastatic breast cancer
T2 - Clinical applications
AU - Toss, Angela
AU - Piacentini, Federico
AU - Cortesi, Laura
AU - Artuso, Lucia
AU - Bernardis, Isabella
AU - Parenti, Sandra
AU - Tenedini, Elena
AU - Ficarra, Guido
AU - Maiorana, Antonino
AU - Iannone, Anna
AU - Omarini, Claudia
AU - Moscetti, Luca
AU - Cristofanilli, Massimo
AU - Federico, Massimo
AU - Tagliafico, Enrico
N1 - Publisher Copyright:
© Toss et al.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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.
KW - Breast cancer
KW - Molecular characterization
KW - Next-generation sequencing
KW - Somatic mutations
KW - Treatment resistance
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U2 - 10.18632/oncotarget.25810
DO - 10.18632/oncotarget.25810
M3 - Article
C2 - 30167082
AN - SCOPUS:85050996615
SN - 1949-2553
VL - 9
SP - 31606
EP - 31619
JO - Oncotarget
JF - Oncotarget
IS - 60
ER -