Background: We report the results of the pre-planned secondary analysis of radiologic responses (RRs) of ISG-STS 1001, a randomized trial comparing anthracycline + ifosfamide (AI) versus histology-tailored (HT) neoadjuvant chemotherapy for primary localized high-risk soft-tissue sarcomas of the extremities and trunk wall.

Patients And Methods: Patients with undifferentiated pleomorphic sarcoma (UPS), leiomyosarcoma (LMS), malignant peripheral nerve sheath tumor, synovial sarcoma or myxoid liposarcoma (MLPS) were randomized, whereas patients with myxofibrosarcoma, pleomorphic liposarcoma, pleomorphic rhabdomyosarcoma or unclassified sarcoma were included in the observational arm (O) and treated with AI. Patients with UPS, LMS or MLPS needing concurrent preoperative radiotherapy were included in O. We evaluated associations between: disease-free survival (DFS)/overall survival (OS) and centrally reviewed RR, assessed with RECIST 1.1 and as percent dimensional variation (D; both dichotomized and continuous); DFS/OS and histology; RR and histology.

Results: Four hundred and thirty-five patients were included (287 randomized, 148 observed). The analysis of RRs comprised 236 patients (154 randomized, 82 observed) with measurable disease and available for central review. RECIST best responses were: 28 (11.9%) partial response (PR), 195 (82.6%) stable disease (SD), 13 (5.5%) progressive disease (PD). RECIST significantly correlated with DFS [PD versus PR: hazard ratio (HR) 8.18, 95% confidence interval (CI) 2.96-22.58; SD versus PR: HR 2.96, 95% CI 1.30-6.75] and OS (PD versus PR: HR 12.61, 95% CI 3.40-46.84; SD versus PR: HR 4.24, 95% CI 1.34-13.47). The median value of D was -1.6%. Patients with D >-1.6% had worse clinical outcomes than those with D <-1.6% (DFS: HR 1.73, 95% CI 1.19-2.50; OS: HR 1.86, 95% CI 1.21-2.86). D in continuous scale inversely correlated with DFS (HR 1.53, 95% CI 1.25-1.87) and OS (HR 1.78, 95% CI 1.41-2.25).

Conclusions: These results confirm the prognostic value of RRs as per RECIST and D and demonstrate that any variation in size predicts the proportional efficacy of treatment.

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http://dx.doi.org/10.1016/j.esmoop.2025.104299DOI Listing

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