Abstract
Background
As the leading cause of mortality for retroperitoneal liposarcoma (RPLS) cases, postoperative recurrence has complicated and unclear risk factors. This study was conducted to explore the correlations between demographic, surgical, and pathological characteristics with local recurrence-free survival (LRFS) for surgical resected RPLS.
Methods
RPLS cases that underwent radical operation were considered to be included in this analysis. LRFS rates were estimated based on the Kaplan–Meier method and were compared between groups by the log-rank test. Cox proportional hazard regression models were constructed to identified the predictors of LRFS. Subsequently, the independent predictors acquired from multivariate analyses were used to construct a nomogram.
Results
348 RPLS cases who underwent radical operation were included. Of the 348 cases, 333 had tumor recurrence or with a follow-up period ≥5 years. Thus, 296 (88.9%) of the 333 cases had recurrent disease, and the median LRFS duration of 296 recurrence cases was 17.0 (95% confidence interval (CI) 13.2–20.8) months. Multivariate analysis identified the preoperative neutrophil/lymphocyte ratio (NLR), surgical frequency, operative time, tumor shape, histological subtype, and tumor necrosis as independent predictors of LRFS. Based on above independent predictors, a nomogram was constructed to predict the 1-, 3-, and 5-year LRFS of surgical resected RPLS.
Conclusion
Elevated preoperative NLR, ≥2nd time surgical frequency, extended operation time, irregular tumor shape, no well-differentiated histological subtype, and tumor necrosis could be used as predictors of LRFS for surgical resected RPLS.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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ZY: study design, data curation, data analysis and interpretation, statistical analysis, writing—original draft, writing—review and editing, formal analysis. XZ: data acquisition, supervision, formal analysis, methodology, writing—original draft. JG: data acquisition, quality control of data and algorithms. Data analysis and interpretation. SZ: study design, data curation, statistical analysis, writing—review and editing. NL: data acquisition, data analysis and interpretation, statistical analysis, writing—review and editing. PL: study design, quality control of data and algorithms, data analysis and interpretation, supervision, writing—review and editing.
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This study was approved by the Medical Ethics Committee of the First Medical Center of the Chinese PLA General Hospital and was performed in accordance with the Declaration of Helsinki.
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Yu, Z., Zhao, X., Gao, J. et al. Correlation Analysis Between Demographic, Surgical, and Pathological Characteristics with Local Recurrence-Free Survival for Surgical Resected Retroperitoneal Liposarcoma. World J Surg 47, 1946–1955 (2023). https://doi.org/10.1007/s00268-023-07009-1
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DOI: https://doi.org/10.1007/s00268-023-07009-1