Background: Current risk models in solitary fibrous tumour (SFT) were developed using cohorts with short follow-up and cannot reliably identify low-risk patients. We recently developed a novel risk model (G-score) to account for both early and late recurrences. Here, we aimed to validate the G-score in a large international cohort with long-term follow-up. Methods: Data were collected from nine sarcoma referral centres worldwide. Recurrence-free interval (RFi) was the primary endpoint. Results: The cohort comprised 318 patients with localised extrameningeal SFTs. Disease recurrence occurred in 96 patients (33%). The estimated 5-year RFi rate was 72%, and the 10-year RFi rate was 52%. G-score precisely predicted recurrence risk with estimated 10-year RFi rate of 84% in low risk, 54% in intermediate risk and 36% in high risk (p < 0.001; C-index 0.691). The mDemicco (p < 0.001; C-index 0.749) and SalasOS (p < 0.001; C-index 0.674) models also predicted RFi but identified low-risk patients less accurate with 10-year RFi rates of 72% and 70%, respectively. Conclusions: G-score is a highly significant predictor of early and late recurrence in SFT and is superior to other models to predict patients at low risk of relapse. A less intensive follow-up schedule could be considered for patients at low recurrence risk according to G-score.

Validation of a novel risk score to predict early and late recurrence in solitary fibrous tumour / Georgiesh T.; Aggerholm-Pedersen N.; Schoffski P.; Zhang Y.; Napolitano A.; Bovee J.V.M.G.; Hjelle A.; Tang G.; Spalek M.; Nannini M.; Swanson D.; Baad-Hansen T.; Sciot R.; Hesla A.C.; Huang P.; Dorleijn D.; Haugland H.K.; Lacambra M.; Skoczylas J.; Pantaleo M.A.; Haas R.L.; Meza-Zepeda L.A.; Haller F.; Czarnecka A.M.; Loong H.; Jebsen N.L.; van de Sande M.; Jones R.L.; Haglund F.; Timmermans I.; Safwat A.; Bjerkehagen B.; Boye K.. - In: BRITISH JOURNAL OF CANCER. - ISSN 0007-0920. - ELETTRONICO. - 127:10(2022), pp. 1793-1798. [10.1038/s41416-022-01959-4]

Validation of a novel risk score to predict early and late recurrence in solitary fibrous tumour

Nannini M.;Pantaleo M. A.;
2022

Abstract

Background: Current risk models in solitary fibrous tumour (SFT) were developed using cohorts with short follow-up and cannot reliably identify low-risk patients. We recently developed a novel risk model (G-score) to account for both early and late recurrences. Here, we aimed to validate the G-score in a large international cohort with long-term follow-up. Methods: Data were collected from nine sarcoma referral centres worldwide. Recurrence-free interval (RFi) was the primary endpoint. Results: The cohort comprised 318 patients with localised extrameningeal SFTs. Disease recurrence occurred in 96 patients (33%). The estimated 5-year RFi rate was 72%, and the 10-year RFi rate was 52%. G-score precisely predicted recurrence risk with estimated 10-year RFi rate of 84% in low risk, 54% in intermediate risk and 36% in high risk (p < 0.001; C-index 0.691). The mDemicco (p < 0.001; C-index 0.749) and SalasOS (p < 0.001; C-index 0.674) models also predicted RFi but identified low-risk patients less accurate with 10-year RFi rates of 72% and 70%, respectively. Conclusions: G-score is a highly significant predictor of early and late recurrence in SFT and is superior to other models to predict patients at low risk of relapse. A less intensive follow-up schedule could be considered for patients at low recurrence risk according to G-score.
2022
Validation of a novel risk score to predict early and late recurrence in solitary fibrous tumour / Georgiesh T.; Aggerholm-Pedersen N.; Schoffski P.; Zhang Y.; Napolitano A.; Bovee J.V.M.G.; Hjelle A.; Tang G.; Spalek M.; Nannini M.; Swanson D.; Baad-Hansen T.; Sciot R.; Hesla A.C.; Huang P.; Dorleijn D.; Haugland H.K.; Lacambra M.; Skoczylas J.; Pantaleo M.A.; Haas R.L.; Meza-Zepeda L.A.; Haller F.; Czarnecka A.M.; Loong H.; Jebsen N.L.; van de Sande M.; Jones R.L.; Haglund F.; Timmermans I.; Safwat A.; Bjerkehagen B.; Boye K.. - In: BRITISH JOURNAL OF CANCER. - ISSN 0007-0920. - ELETTRONICO. - 127:10(2022), pp. 1793-1798. [10.1038/s41416-022-01959-4]
Georgiesh T.; Aggerholm-Pedersen N.; Schoffski P.; Zhang Y.; Napolitano A.; Bovee J.V.M.G.; Hjelle A.; Tang G.; Spalek M.; Nannini M.; Swanson D.; Baad-Hansen T.; Sciot R.; Hesla A.C.; Huang P.; Dorleijn D.; Haugland H.K.; Lacambra M.; Skoczylas J.; Pantaleo M.A.; Haas R.L.; Meza-Zepeda L.A.; Haller F.; Czarnecka A.M.; Loong H.; Jebsen N.L.; van de Sande M.; Jones R.L.; Haglund F.; Timmermans I.; Safwat A.; Bjerkehagen B.; Boye K.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/911232
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