RESUMO
Background: Although surgery plays a key role in the treatment of the primary retroperitoneal sarcoma (RPS), there remain few reports on the primary multifocal RPS. Aims: This study aimed to identify the prognostic factors for the primary multifocal RPS in an effort to optimize the clinical management of this malignancy. Methods: A retrospective analysis was conducted on a cohort of 319 primary RPS patients who underwent radical resection from 2009 to 2021, with post-operative recurrence as the primary endpoint of this study. COX regression was performed to identify the risk factors for post-operative recurrence, and a comparison was made to baseline and prognostic differences between multivisceral resection (MVR) and non-MVR groups with multifocal disease. Results: There were 31 (9.7%) patients with multifocal disease, the mean tumor burden placed on them was 24.1 ± 11.9 cm, and nearly half of the patients (48.4%) had MVR. Dedifferentiated liposarcoma, well-differentiated liposarcoma, and leiomyosarcoma accounted for 38.7%, 32.3%, and 16.1%, respectively. The 5-year recurrence-free survival rate reached 31.2% (95% CI, 11.2-51.2%) in the multifocal group and 51.8% (95% CI, 44.2-59.4%) in the unifocal group (P = 0.010). Age (heart rate [HR] = 0.916; P = 0.039) and complete resection (HR = 1.861; P = 0.043) were identified as the independent risk factors for the post-operative recurrence of multifocal primary RPS. Conclusions: Regarding primary multifocal RPS, the overall treatment strategy can be adopted for the treatment of the primary RPS, and MVR remains effective in boosting the chance of disease control for a selected group of patients. Relevance for Patients: This study is relevant to patients as it highlights the importance of receiving appropriate treatment for the primary RPS, especially for those with multifocal disease. The treatment options should be evaluated carefully to ensure that the patients receive the most effective treatment for their specific type and stage of RPS. The potential risk factors for post-operative recurrence should be well understood to minimize those risks. Ultimately, this study underscores the importance of ongoing research to optimize the clinical management of RPS and improve outcomes for patients.
RESUMO
BACKGROUND: Surgery is the cornerstone of the treatment for primary retroperitoneal sarcoma (RPS). The purpose of this study was to establish a nomogram predictive model for predicting postoperative morbidity in primary RPS. METHODS: Clinicopathological data of patients who underwent radical resection from 2009 to 2021 were retrospectively analyzed. Risk factor analysis was performed using a logistic regression model, and modeling variables were selected based on Akaike Information Criterion. The nomogram prediction model was built on the basis of a binary logistic regression model and internally validated by calibration curves and concordance index. RESULTS: A total of 319 patients were enrolled, including 162 males (50.8%). 22.9% (n = 73) were over 65 years of age, and 70.2% (n = 224) had tumors larger than 10 cm. The most common histologic subtypes were well-differentiated liposarcoma (38.2%), dedifferentiated liposarcoma (25.1%) and leiomyosarcoma (7.8%). According to the Clavien-Dindo Classification, 96 (31.1%) and 31 (11.6%) patients had grade I-II complications and grade III-V complications, respectively. Age, tumor burden, location, operative time, number of combined organ resections, weighted resected organ score, estimated blood loss and packed RBC transfusion was used to construct the nomogram, and the concordance index of which was 0.795 (95% CI 0.746-0.844). and the calibration curve indicated a high agreement between predicted and actual rates. CONCLUSIONS: Nomogram, a visual predictive tool that integrates multiple clinicopathological factors, can help physicians screen RPS patients at high risk for postoperative complications and provide a basis for early intervention.
