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Georgiesh, Tatiana; Aggerholm-Pedersen, Ninna; Schöffski, Patrick; Zhang, Yifan; Napolitano, Andrea; Bovée, Judith V M G; Hjelle, Åse; Tang, Gordon; Spalek, Mateusz; Nannini, Margherita; Swanson, David; Baad-Hansen, Thomas; Sciot, Raf; Hesla, Asle C; Huang, Paul; Dorleijn, Desiree; Haugland, Hans Kristian; Lacambra, Maribel; Skoczylas, Jacek; Pantaleo, Maria A; Haas, Rick L; Meza-Zepeda, Leonardo A; Haller, Florian; Czarnecka, Anna M; Loong, Herbert; Jebsen, Nina L; van de Sande, Michiel; Jones, Robin L; Haglund, Felix; Timmermans, Iris; Safwat, Akmal; Bjerkehagen, Bodil; Boye, Kjetil
British journal of cancer, 11/2022, Letnik: 127, Številka: 10Journal Article
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. Data were collected from nine sarcoma referral centres worldwide. Recurrence-free interval (RFi) was the primary endpoint. 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 Salas (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. 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.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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