Autoren:
Dr. Maria Anna Smolle | Balgrist Universitätsklinik | Switzerland
PD Dr. Joanna Szkandera | Medizinische Universität Graz | Austria
Fabrice André Scheurer | Balgrist Universitätsklinik | Switzerland
Prof. Dr. Andreas Seeber | Medizinische Universität Innsbruck | Austria
Dr. Sonja Hasenschwandtner | Ordensklinikum Linz | Austria
Prof. Dr. Bernadette Liegl-Atzwanger | Medizinische Universität Graz | Austria
PD Dr. Lukas Weiss | Universitätsklinik Salzburg | Austria
PD Dr. Thomas Winder | LKH Feldkirch | Austria
PD Dr. Daniel Müller | Balgrist Universitätsklinik | Switzerland
Prof. Dr. Andreas Leithner | Medizinische Universität Graz | Austria
Introduction: Main oncological outcome parameters in soft tissue sarcoma (STS) patients include risk for local recurrence (LR) and distant metastasis (DM), as well as overall survival (OS). Over the past years, risk prediction tools have been developed to estimate patients’ outcome, incorporating established prognostic factors (e.g. tumour size, histological subtype) in conventional time-to-event models.
The aims of this multicenter study were to 1) assess LR and DM risk, as well as OS in a large, multicenter retrospective multinational cohort of STS patients from Austria and Switzerland, and to 2) investigate established and eventually identify novel prognostic factors for LR, DM and OS.
Methods: 746 patients with STS (mean age: 62.5±16.3 years; 49.9% males) were retrospectively included, treated for localised disease at 4 sarcoma centres. Multivariate (including age, gender, size, grading, depth, histology, location) time-to-event models (i.e. Fine&Gray models, Cox-regression models) were carried out to analyse the potential impact of variables on LR, DM, and OS.
Results: Median follow-up was 24.2 months (IQR 11.8-71.7 months). During this period, 117/596 (19.6%) and 211/619 (34.1%) patients, respectively, developed LR and DM, and 202/676 patients died (29.9%). The most common histologies were myxofibrosarcoma (n=199; 26.6%) and liposarcoma (n=165; 22.1%). The majority of tumours were high grade (n=344; 59.8%) and located in the lower limbs (n=426; 57.2%). High-grade STS were per tendency independently associated with increased LR-risk (SHR 3.13, 95%CI 0.91-10.70, p=0.069. High-grade STS (SHR 3.63, 95%CI 1.12-11.73, p=0.031) and leiomyosarcoma (SHR 3.20, 95%CI 1.14-8.98, p=0.027) showed an independent association with increased DM-risk. Advanced patient age (HR 1.06, 95%CI 1.04-1.07, p < 0.001), large tumour size (HR 1.05, 95%CI 1.02-1.08, p=0.001), and histologies UPS (HR 1.86, 95%CI 1.01-3.42, p=0.045) and “other” (HR 2.29, 95%CI 1.16-4.50, p=0.016) were independently associated with reduced OS.
Conclusion: Our preliminary findings identified similar prognostic factors as previously reported for LR, DM and OS in STS patients. Interestingly, though, some parameters (e.g. tumour size) appeared to only slightly contribute to LR- and DM-risk in this population. Future steps include refinement of the models to further enhance prognostication in patients with STS.