A novel nomogram for predicting local recurrence-free survival after surgical resection for retroperitoneal liposarcoma
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ORIGINAL ARTICLE
A novel nomogram for predicting local recurrence‑free survival after surgical resection for retroperitoneal liposarcoma from a Chinese tertiary cancer center Guoqiang Xue1 · Zhen Wang1 · Chengpeng Li1 · Ang Lv1 · Xiuyun Tian1 · Jianhui Wu1 · Hui Qiu1 · Chunyi Hao2 Received: 7 May 2020 / Accepted: 22 September 2020 © Japan Society of Clinical Oncology 2020
Abstract Background Local recurrence is the most difficult postoperative challenge and the leading cause of death in patients with retroperitoneal liposarcoma (RLPS). We aimed to establish a postoperative nomogram exclusively focused on RLPS for predicting local recurrence-free survival (LRFS). Methods A cohort of 124 patients after surgical resection with curative intent in the Peking University Cancer Hospital Sarcoma Center were included in the study. Demographic, clinicopathologic, and treatment variables were analyzed using the Cox regression model. Significant clinically relevant variables in multivariable analysis were incorporated into the RLPSspecific nomogram. The discriminative ability and predictive accuracy of the nomogram were assessed by calculating the concordance index and drawing a calibration plot. Results At a median follow-up of 26.5 (interquartile range 10.9–39.4) months, 71 patients had recurrent disease. The 3-year and 5-year LRFS rates were 35.6% (95% confidence interval, 27.0–46.9%) and 28.2% (95% CI 15.8–38.6%), respectively. Multivariate analysis identified the French Federation of Cancer Centers Sarcoma Group (FNCLCC) grade and completeness of resection as independent predictors of LRFS. Variables included in our nomogram were: presentation status, multifocality, completeness of resection, histologic subtypes, and FNCLCC grade. The concordance index of our nomogram was 0.732 (95% CI 0.667–0.797) and the calibration plot was excellent. Conclusions Our novel nomogram for patients with resected RLPS could improve recurrence risk stratification to explore molecular analysis associated with recurrence. Keywords Nomogram · Prognosis · Retroperitoneal liposarcoma · Local recurrence-free survival
Introduction Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10147-020-01796-6) contains supplementary material, which is available to authorized users. * Chunyi Hao [email protected] 1
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato‑Pancreato‑Biliary Surgery, Peking University Cancer Hospital & Institute, Beijing, People’s Republic of China
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato‑Pancreato‑Biliary Surgery, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, People’s Republic of China
2
Liposarcomas are the most common (50%) histological subtype of retroperitoneal sarcomas [1, 2]. Since retroperitoneal liposarcoma (RLPS) is relatively insensitive to chemotherapy or radiotherapy, rad
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