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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,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-10014322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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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 |