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A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study

AIM: Stereotactic ablative radiotherapy (SABR) showed increasing survival in oligometastatic patients. Few studies actually depicted oligometastatic disease (OMD) evolution and which patient will remain disease-free and which will rapidly develop a polymetastatic disease (PMD) after SABR. Therefore,...

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Autores principales: Nicosia, Luca, Franceschini, Davide, Perrone-Congedi, Francesca, Molinari, Alessandro, Gerardi, Marianna Alessandra, Rigo, Michele, Mazzola, Rosario, Perna, Marco, Scotti, Vieri, Fodor, Andrei, Iurato, Aurelia, Pasqualetti, Francesco, Gadducci, Giovanni, Chiesa, Silvia, Niespolo, Rita Marina, Bruni, Alessio, Cappelli, Anna, D'Angelo, Elisa, Borghetti, Paolo, Di Marzo, Alessandro, Ravasio, Andrea, De Bari, Berardino, Sepulcri, Matteo, Aiello, Dario, Mortellaro, Gianluca, Sangalli, Claudia, Franceschini, Marzia, Montesi, Giampaolo, Aquilanti, Francesco Maria, Lunardi, Gianluigi, Valdagni, Riccardo, Fazio, Ivan, Scarzello, Giovanni, Vavassori, Vittorio, Maranzano, Ernesto, Maria Magrini, Stefano, Arcangeli, Stefano, Gambacorta, Maria Antonietta, Valentini, Vincenzo, Paiar, Fabiola, Ramella, Sara, Di Muzio, Nadia Gisella, Loi, Mauro, Jereczek-Fossa, Barbara Alicja, Casamassima, Franco, Osti, Mattia Falchetto, Scorsetti, Marta, Alongi, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014322/
https://www.ncbi.nlm.nih.gov/pubmed/36935855
http://dx.doi.org/10.1016/j.ctro.2022.100568
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author Nicosia, Luca
Franceschini, Davide
Perrone-Congedi, Francesca
Molinari, Alessandro
Gerardi, Marianna Alessandra
Rigo, Michele
Mazzola, Rosario
Perna, Marco
Scotti, Vieri
Fodor, Andrei
Iurato, Aurelia
Pasqualetti, Francesco
Gadducci, Giovanni
Chiesa, Silvia
Niespolo, Rita Marina
Bruni, Alessio
Cappelli, Anna
D'Angelo, Elisa
Borghetti, Paolo
Di Marzo, Alessandro
Ravasio, Andrea
De Bari, Berardino
Sepulcri, Matteo
Aiello, Dario
Mortellaro, Gianluca
Sangalli, Claudia
Franceschini, Marzia
Montesi, Giampaolo
Aquilanti, Francesco Maria
Lunardi, Gianluigi
Valdagni, Riccardo
Fazio, Ivan
Scarzello, Giovanni
Vavassori, Vittorio
Maranzano, Ernesto
Maria Magrini, Stefano
Arcangeli, Stefano
Gambacorta, Maria Antonietta
Valentini, Vincenzo
Paiar, Fabiola
Ramella, Sara
Di Muzio, Nadia Gisella
Loi, Mauro
Jereczek-Fossa, Barbara Alicja
Casamassima, Franco
Osti, Mattia Falchetto
Scorsetti, Marta
Alongi, Filippo
author_facet Nicosia, Luca
Franceschini, Davide
Perrone-Congedi, Francesca
Molinari, Alessandro
Gerardi, Marianna Alessandra
Rigo, Michele
Mazzola, Rosario
Perna, Marco
Scotti, Vieri
Fodor, Andrei
Iurato, Aurelia
Pasqualetti, Francesco
Gadducci, Giovanni
Chiesa, Silvia
Niespolo, Rita Marina
Bruni, Alessio
Cappelli, Anna
D'Angelo, Elisa
Borghetti, Paolo
Di Marzo, Alessandro
Ravasio, Andrea
De Bari, Berardino
Sepulcri, Matteo
Aiello, Dario
Mortellaro, Gianluca
Sangalli, Claudia
Franceschini, Marzia
Montesi, Giampaolo
Aquilanti, Francesco Maria
Lunardi, Gianluigi
Valdagni, Riccardo
Fazio, Ivan
Scarzello, Giovanni
Vavassori, Vittorio
Maranzano, Ernesto
Maria Magrini, Stefano
Arcangeli, Stefano
Gambacorta, Maria Antonietta
Valentini, Vincenzo
Paiar, Fabiola
Ramella, Sara
Di Muzio, Nadia Gisella
Loi, Mauro
Jereczek-Fossa, Barbara Alicja
Casamassima, Franco
Osti, Mattia Falchetto
Scorsetti, Marta
Alongi, Filippo
author_sort Nicosia, Luca
collection PubMed
description AIM: Stereotactic ablative radiotherapy (SABR) showed increasing survival in oligometastatic patients. Few studies actually depicted oligometastatic disease (OMD) evolution and which patient will remain disease-free and which will rapidly develop a polymetastatic disease (PMD) after SABR. Therefore, apart from the number of active metastases, there are no clues on which proven factor should be considered for prescribing local treatment in OMD. The study aims to identify predictive factors of polymetastatic evolution in lung oligometastatic colorectal cancer patients. METHODS: This international Ethical Committee approved trial (Prot. Negrar 2019-ZT) involved 23 Centers and 450 lung oligometastatic patients. Primary end-point was time to the polymetastatic conversion (tPMC). Additionally, oligometastases number and cumulative gross tumor volume (cumGTV) were used as combined predictive factors of tPMC. Oligometastases number was stratified as 1, 2–3, and 4–5; cumGTV was dichotomized to the value of 10 cc. RESULTS: The median tPMC in the overall population was 26 months. Population was classified in the following tPMC risk classes: low-risk (1–3 oligometastases and cumGTV ≤ 10 cc) with median tPMC of 35.1 months; intermediate-risk (1–3 oligometastases and cumGTV > 10 cc), with median tPMC of 13.9 months, and high-risk (4–5 oligometastases, any cumGTV) with median tPMC of 9.4 months (p = 0.000). CONCLUSION: The present study identified predictive factors of polymetastatic evolution after SABR in lung oligometastatic colorectal cancer. The results demonstrated that the sole metastases number is not sufficient to define the OMD since patients defined oligometastatic from a numerical point of view might rapidly progress to PMD when the cumulative tumor volume is high. A tailored approach in SABR prescription should be pursued considering the expected disease evolution after SABR, with the aim to avoid unnecessary treatment and toxicity in those at high risk of polymetastatic spread, and maximize local treatment in those with a favorable disease evolution.
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spelling pubmed-100143222023-03-16 A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study Nicosia, Luca Franceschini, Davide Perrone-Congedi, Francesca Molinari, Alessandro Gerardi, Marianna Alessandra Rigo, Michele Mazzola, Rosario Perna, Marco Scotti, Vieri Fodor, Andrei Iurato, Aurelia Pasqualetti, Francesco Gadducci, Giovanni Chiesa, Silvia Niespolo, Rita Marina Bruni, Alessio Cappelli, Anna D'Angelo, Elisa Borghetti, Paolo Di Marzo, Alessandro Ravasio, Andrea De Bari, Berardino Sepulcri, Matteo Aiello, Dario Mortellaro, Gianluca Sangalli, Claudia Franceschini, Marzia Montesi, Giampaolo Aquilanti, Francesco Maria Lunardi, Gianluigi Valdagni, Riccardo Fazio, Ivan Scarzello, Giovanni Vavassori, Vittorio Maranzano, Ernesto Maria Magrini, Stefano Arcangeli, Stefano Gambacorta, Maria Antonietta Valentini, Vincenzo Paiar, Fabiola Ramella, Sara Di Muzio, Nadia Gisella Loi, Mauro Jereczek-Fossa, Barbara Alicja Casamassima, Franco Osti, Mattia Falchetto Scorsetti, Marta Alongi, Filippo Clin Transl Radiat Oncol Special Issue on Personalized Radiation Oncology; Edited by Daniel Zips, Pierre Blanchard AIM: Stereotactic ablative radiotherapy (SABR) showed increasing survival in oligometastatic patients. Few studies actually depicted oligometastatic disease (OMD) evolution and which patient will remain disease-free and which will rapidly develop a polymetastatic disease (PMD) after SABR. Therefore, apart from the number of active metastases, there are no clues on which proven factor should be considered for prescribing local treatment in OMD. The study aims to identify predictive factors of polymetastatic evolution in lung oligometastatic colorectal cancer patients. METHODS: This international Ethical Committee approved trial (Prot. Negrar 2019-ZT) involved 23 Centers and 450 lung oligometastatic patients. Primary end-point was time to the polymetastatic conversion (tPMC). Additionally, oligometastases number and cumulative gross tumor volume (cumGTV) were used as combined predictive factors of tPMC. Oligometastases number was stratified as 1, 2–3, and 4–5; cumGTV was dichotomized to the value of 10 cc. RESULTS: The median tPMC in the overall population was 26 months. Population was classified in the following tPMC risk classes: low-risk (1–3 oligometastases and cumGTV ≤ 10 cc) with median tPMC of 35.1 months; intermediate-risk (1–3 oligometastases and cumGTV > 10 cc), with median tPMC of 13.9 months, and high-risk (4–5 oligometastases, any cumGTV) with median tPMC of 9.4 months (p = 0.000). CONCLUSION: The present study identified predictive factors of polymetastatic evolution after SABR in lung oligometastatic colorectal cancer. The results demonstrated that the sole metastases number is not sufficient to define the OMD since patients defined oligometastatic from a numerical point of view might rapidly progress to PMD when the cumulative tumor volume is high. A tailored approach in SABR prescription should be pursued considering the expected disease evolution after SABR, with the aim to avoid unnecessary treatment and toxicity in those at high risk of polymetastatic spread, and maximize local treatment in those with a favorable disease evolution. Elsevier 2022-12-20 /pmc/articles/PMC10014322/ /pubmed/36935855 http://dx.doi.org/10.1016/j.ctro.2022.100568 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special Issue on Personalized Radiation Oncology; Edited by Daniel Zips, Pierre Blanchard
Nicosia, Luca
Franceschini, Davide
Perrone-Congedi, Francesca
Molinari, Alessandro
Gerardi, Marianna Alessandra
Rigo, Michele
Mazzola, Rosario
Perna, Marco
Scotti, Vieri
Fodor, Andrei
Iurato, Aurelia
Pasqualetti, Francesco
Gadducci, Giovanni
Chiesa, Silvia
Niespolo, Rita Marina
Bruni, Alessio
Cappelli, Anna
D'Angelo, Elisa
Borghetti, Paolo
Di Marzo, Alessandro
Ravasio, Andrea
De Bari, Berardino
Sepulcri, Matteo
Aiello, Dario
Mortellaro, Gianluca
Sangalli, Claudia
Franceschini, Marzia
Montesi, Giampaolo
Aquilanti, Francesco Maria
Lunardi, Gianluigi
Valdagni, Riccardo
Fazio, Ivan
Scarzello, Giovanni
Vavassori, Vittorio
Maranzano, Ernesto
Maria Magrini, Stefano
Arcangeli, Stefano
Gambacorta, Maria Antonietta
Valentini, Vincenzo
Paiar, Fabiola
Ramella, Sara
Di Muzio, Nadia Gisella
Loi, Mauro
Jereczek-Fossa, Barbara Alicja
Casamassima, Franco
Osti, Mattia Falchetto
Scorsetti, Marta
Alongi, Filippo
A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study
title A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study
title_full A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study
title_fullStr A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study
title_full_unstemmed A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study
title_short A predictive model of polymetastatic disease from a multicenter large retrospectIve database on colorectal lung metastases treated with stereotactic ablative radiotherapy: The RED LaIT-SABR study
title_sort predictive model of polymetastatic disease from a multicenter large retrospective database on colorectal lung metastases treated with stereotactic ablative radiotherapy: the red lait-sabr study
topic Special Issue on Personalized Radiation Oncology; Edited by Daniel Zips, Pierre Blanchard
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014322/
https://www.ncbi.nlm.nih.gov/pubmed/36935855
http://dx.doi.org/10.1016/j.ctro.2022.100568
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AT aiellodario predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT mortellarogianluca predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT sangalliclaudia predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT franceschinimarzia predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT montesigiampaolo predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT aquilantifrancescomaria predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT lunardigianluigi predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT valdagniriccardo predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT fazioivan predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT scarzellogiovanni predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT vavassorivittorio predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT maranzanoernesto predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT mariamagrinistefano predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT arcangelistefano predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT gambacortamariaantonietta predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT valentinivincenzo predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT paiarfabiola predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT ramellasara predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT dimuzionadiagisella predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT loimauro predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT jereczekfossabarbaraalicja predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT casamassimafranco predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT ostimattiafalchetto predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT scorsettimarta predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy
AT alongifilippo predictivemodelofpolymetastaticdiseasefromamulticenterlargeretrospectivedatabaseoncolorectallungmetastasestreatedwithstereotacticablativeradiotherapytheredlaitsabrstudy