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SHR Neuro Cancer Cardio Lipid Metab Microb

Baudo, A; Piccinelli, ML; Incesu, RB; Morra, S; Scheipner, L; Barletta, F; Tappero, S; Garcia, CC; Assad, A; Tian, Z; Acquati, P; de, Cobelli, O; Longo, N; Briganti, A; Terrone, C; Chun, FKH; Tilki, D; Ahyai, S; Saad, F; Shariat, SF; Carmignani, L; Karakiewicz, PI.
Surgically treated pelvic liposarcoma and leiomyosarcoma: The effect of tumor size on cancer-specific survival.
Surg Oncol. 2024; 54:102074 Doi: 10.1016/j.suronc.2024.102074
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Co-authors Med Uni Graz: Ahyai Sascha; Scheipner Lukas
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Abstract:: INTRODUCTION: In soft tissue pelvic liposarcoma and leiomyosarcoma, it is unknown whether a specific tumor size cut-off may help to better predict prognosis, defined as cancer-specific survival (CSS). We tested whether different tumor size cut-offs, could improve CSS prediction. MATERIALS AND METHODS: Surgically treated non-metastatic soft tissue pelvic sarcoma patients were identified (Surveillance, Epidemiology, and End Results 2004-2019). Kaplan-Meier plots, univariable and multivariable Cox-regression models and receiver operating characteristic-derived area under the curve (AUC) estimates were used. RESULTS: Overall, 672 (65 %) liposarcoma (median tumor size 11 cm, interquartile range [IQR] 7-16) and 367 (35 %) leiomyosarcoma (median tumor size 8 cm, IQR 5-12) patients were identified. The p-value derived ideal tumor size cut-off was 17.1 cm, in liposarcoma and 7.0 cm, in leiomyosarcoma. In liposarcoma, according to p-value derived cut-off, five-year CSS rates were 92 vs 83 % (≤17.1 vs > 17.1 cm). This cut-off represented an independent predictor of CSS and improved prognostic ability from 83.8 to 86.8 % (Δ = 3 %). Similarly, among previously established cut-offs (5 vs 10 vs 15 cm), also 15 cm represented an independent predictor of CSS and improved prognostic ability from 83.8 to 87.0 % (Δ = 3.2 %). In leiomyosarcoma, according to p-value derived cut-off, five-year CSS rates were 86 vs 55 % (≤7.0 vs > 7.0 cm). This cut-off represented an independent predictor of CSS and improved prognostic ability from 68.6 to 76.5 % (Δ = 7.9 %). CONCLUSIONS: In liposarcoma, the p-value derived tumor size cut-off was 17.1 cm vs 7.0 cm, in leiomyosarcoma. In both histologic subtypes, these cut-offs exhibited the optimal statistical characteristics (univariable, multivariable and AUC analyses). In liposarcoma, the 15 cm cut-off represented a valuable alternative.
Find related publications in this database (using NLM MeSH Indexing): Humans - administration & dosage; Leiomyosarcoma - surgery, pathology, mortality; Liposarcoma - surgery, pathology, mortality; Male - administration & dosage; Female - administration & dosage; Survival Rate - administration & dosage; Prognosis - administration & dosage; Middle Aged - administration & dosage; Aged - administration & dosage; Pelvic Neoplasms - surgery, pathology, mortality; Follow-Up Studies - administration & dosage; Retrospective Studies - administration & dosage
Find related publications in this database (Keywords): Pelvic soft tissue sarcoma; Liposarcoma; Leiomyosarcoma; Cancer -specific survival; Tumor size cut-off