A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane: Results From a Prospective Study

Sara Gagno; Mario Rosario D'Andrea; Mauro Mansutti; Chiara Zanusso; Fabio Puglisi; Eva Dreussi; Marcella Montico; Paola Biason; Erika Cecchin; Donatella Iacono; Stefania Russo; Marika Cinausero; Silvana Saracchini; Giampietro Gasparini; Donata Sartori; Mario Bari; Elena Collovà; Rosa Meo; Ghassan Merkabaoui; Ilaria Spagnoletti; Arianna Pellegrino; Lorenzo Gianni; Paolo Sandri; Elisabetta Cretella; Emanuela Vattemi; Andrea Rocca; Patrizia Serra; Maria Agnese Fabbri; Giovanni Benedetti; Laura Foghini; Michele Medici; Umberto Basso; Vito Amoroso; Ferdinando Riccardi; Anna Maria Baldelli; Mario Clerico; Salvatore Bonura; Chiara Saggia; Federico Innocenti; Giuseppe Toffoli

doi:10.1016/j.clbc.2018.11.009

A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane: Results From a Prospective Study

Sara Gagno, Mario Rosario D'Andrea, Mauro Mansutti, Chiara Zanusso, Fabio Puglisi, Eva Dreussi, Marcella Montico, Paola Biason, Erika Cecchin, Donatella Iacono, Stefania Russo, Marika Cinausero, Silvana Saracchini, Giampietro Gasparini, Donata Sartori, Mario Bari, Elena Collovà, Rosa Meo, Ghassan Merkabaoui, Ilaria SpagnolettiArianna Pellegrino, Lorenzo Gianni, Paolo Sandri, Elisabetta Cretella, Emanuela Vattemi, Andrea Rocca, Patrizia Serra, Maria Agnese Fabbri, Giovanni Benedetti, Laura Foghini, Michele Medici, Umberto Basso, Vito Amoroso, Ferdinando Riccardi, Anna Maria Baldelli, Mario Clerico, Salvatore Bonura, Chiara Saggia, Federico Innocenti, Giuseppe Toffoli

Research output: Contribution to journal › Article › peer-review

Abstract

Currently there are no reliable biomarkers to predict outcome of exemestane treatment. We designed a prospective study to investigate whether constitutive genetic background might affect response to therapy. In a population of 302 advanced breast cancer patients treated with exemestane we showed that a 5–polymorphism-based genetic score could be used to identify patients with different risks of progression and death.

Original language	English
Journal	Clinical Breast Cancer
DOIs	https://doi.org/10.1016/j.clbc.2018.11.009
Publication status	Accepted/In press - Jan 1 2018

Keywords

Advanced breast cancer
Aromatase inhibitor
Hormone therapy
Polymorphisms
Survival

ASJC Scopus subject areas

Oncology
Cancer Research

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10.1016/j.clbc.2018.11.009

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Gagno, S., D'Andrea, M. R., Mansutti, M., Zanusso, C., Puglisi, F., Dreussi, E., Montico, M., Biason, P., Cecchin, E., Iacono, D., Russo, S., Cinausero, M., Saracchini, S., Gasparini, G., Sartori, D., Bari, M., Collovà, E., Meo, R., Merkabaoui, G., ... Toffoli, G. (Accepted/In press). A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane: Results From a Prospective Study. Clinical Breast Cancer. https://doi.org/10.1016/j.clbc.2018.11.009

A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane : Results From a Prospective Study. / Gagno, Sara; D'Andrea, Mario Rosario; Mansutti, Mauro; Zanusso, Chiara; Puglisi, Fabio; Dreussi, Eva; Montico, Marcella; Biason, Paola; Cecchin, Erika; Iacono, Donatella; Russo, Stefania; Cinausero, Marika; Saracchini, Silvana; Gasparini, Giampietro; Sartori, Donata; Bari, Mario; Collovà, Elena; Meo, Rosa; Merkabaoui, Ghassan; Spagnoletti, Ilaria; Pellegrino, Arianna; Gianni, Lorenzo; Sandri, Paolo; Cretella, Elisabetta; Vattemi, Emanuela; Rocca, Andrea ; Serra, Patrizia; Fabbri, Maria Agnese; Benedetti, Giovanni; Foghini, Laura; Medici, Michele; Basso, Umberto; Amoroso, Vito; Riccardi, Ferdinando; Baldelli, Anna Maria; Clerico, Mario; Bonura, Salvatore; Saggia, Chiara; Innocenti, Federico; Toffoli, Giuseppe.

In: Clinical Breast Cancer, 01.01.2018.

Research output: Contribution to journal › Article › peer-review

Gagno, S, D'Andrea, MR, Mansutti, M, Zanusso, C, Puglisi, F, Dreussi, E, Montico, M, Biason, P, Cecchin, E, Iacono, D, Russo, S, Cinausero, M, Saracchini, S, Gasparini, G, Sartori, D, Bari, M, Collovà, E, Meo, R, Merkabaoui, G, Spagnoletti, I, Pellegrino, A, Gianni, L, Sandri, P, Cretella, E, Vattemi, E, Rocca, A , Serra, P, Fabbri, MA, Benedetti, G, Foghini, L, Medici, M, Basso, U, Amoroso, V, Riccardi, F, Baldelli, AM, Clerico, M, Bonura, S, Saggia, C, Innocenti, F & Toffoli, G 2018, 'A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane: Results From a Prospective Study', Clinical Breast Cancer. https://doi.org/10.1016/j.clbc.2018.11.009

Gagno, Sara ; D'Andrea, Mario Rosario ; Mansutti, Mauro ; Zanusso, Chiara ; Puglisi, Fabio ; Dreussi, Eva ; Montico, Marcella ; Biason, Paola ; Cecchin, Erika ; Iacono, Donatella ; Russo, Stefania ; Cinausero, Marika ; Saracchini, Silvana ; Gasparini, Giampietro ; Sartori, Donata ; Bari, Mario ; Collovà, Elena ; Meo, Rosa ; Merkabaoui, Ghassan ; Spagnoletti, Ilaria ; Pellegrino, Arianna ; Gianni, Lorenzo ; Sandri, Paolo ; Cretella, Elisabetta ; Vattemi, Emanuela ; Rocca, Andrea ; Serra, Patrizia ; Fabbri, Maria Agnese ; Benedetti, Giovanni ; Foghini, Laura ; Medici, Michele ; Basso, Umberto ; Amoroso, Vito ; Riccardi, Ferdinando ; Baldelli, Anna Maria ; Clerico, Mario ; Bonura, Salvatore ; Saggia, Chiara ; Innocenti, Federico ; Toffoli, Giuseppe. / A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane : Results From a Prospective Study. In: Clinical Breast Cancer. 2018.

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abstract = "Currently there are no reliable biomarkers to predict outcome of exemestane treatment. We designed a prospective study to investigate whether constitutive genetic background might affect response to therapy. In a population of 302 advanced breast cancer patients treated with exemestane we showed that a 5–polymorphism-based genetic score could be used to identify patients with different risks of progression and death.",

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AU - Mansutti, Mauro

AU - Zanusso, Chiara

AU - Puglisi, Fabio

AU - Dreussi, Eva

AU - Montico, Marcella

AU - Biason, Paola

AU - Cecchin, Erika

AU - Iacono, Donatella

AU - Russo, Stefania

AU - Cinausero, Marika

AU - Saracchini, Silvana

AU - Gasparini, Giampietro

AU - Sartori, Donata

AU - Bari, Mario

AU - Collovà, Elena

AU - Meo, Rosa

AU - Merkabaoui, Ghassan

AU - Spagnoletti, Ilaria

AU - Pellegrino, Arianna

AU - Gianni, Lorenzo

AU - Sandri, Paolo

AU - Cretella, Elisabetta

AU - Vattemi, Emanuela

AU - Rocca, Andrea

AU - Serra, Patrizia

AU - Fabbri, Maria Agnese

AU - Benedetti, Giovanni

AU - Foghini, Laura

AU - Medici, Michele

AU - Basso, Umberto

AU - Amoroso, Vito

AU - Riccardi, Ferdinando

AU - Baldelli, Anna Maria

AU - Clerico, Mario

AU - Bonura, Salvatore

AU - Saggia, Chiara

AU - Innocenti, Federico

AU - Toffoli, Giuseppe

PY - 2018/1/1

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AB - Currently there are no reliable biomarkers to predict outcome of exemestane treatment. We designed a prospective study to investigate whether constitutive genetic background might affect response to therapy. In a population of 302 advanced breast cancer patients treated with exemestane we showed that a 5–polymorphism-based genetic score could be used to identify patients with different risks of progression and death.

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KW - Aromatase inhibitor

KW - Hormone therapy

KW - Polymorphisms

KW - Survival

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A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane: Results From a Prospective Study

Abstract

Keywords

ASJC Scopus subject areas

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