Alveolar soft tissue sarcoma: a report of 50 cases at a single institution

Prognostic factors of alveolar soft part sarcoma in children and adolescents: A population-based study

PURPOSE

Alveolar Soft Part Sarcoma (ASPS) is an exceedingly rare and aggressive cancer in children. Our objective was to conduct a population-based cohort study to forecast overall survival (OS) in pediatric ASPS patients.

METHODS

We utilized the Surveillance, Epidemiology, and End Results (SEER) database to identify all pediatric ASPS patients diagnosed between 1975 and 2019. Kaplan-Meier estimations were employed to construct survival curves based on various criteria. Survival curves were compared using the log-rank test. Cox proportional-hazards regression was utilized to determine variables associated with OS. Additionally, we constructed a nomogram to predict overall survival in pediatric ASPS patients.

RESULTS

A total of 103 pediatric ASPS patients were identified. Predominantly, the tumors affected females (62.2 %), and most of them located in the extremities (53.4 %). The majority of patients underwent surgery (83.5 %). Survival rates declined with increasing tumor size, and patients with localized tumors exhibited significantly better prognoses than those with distant tumors. Surgery conferred superior survival outcomes compared to no surgery. Cox proportional hazard regression analysis identified SEER stage and surgery as important independent predictors of survival.

CONCLUSIONS

Our study highlights SEER stage and surgery as key predictors of OS in pediatric ASPS, offering crucial epidemiological insights for clinical management.

Imaging Features of Alveolar Soft Part Sarcoma: Single Institution Experience and Literature Review

Alveolar soft part sarcoma (ASPS) is an extremely rare and aggressive soft-tissue sarcoma (STS) subtype with poor prognosis and limited response to radiation therapy and chemotherapy. Prompt recognition and referral to sarcoma centers for appropriate management are crucial for patients' survival. The purpose of this study was to report ASPS pre-treatment imaging features and to examine the existing literature on this topic. Twelve patients (7 women, 5 men-mean age 27.1 ± 10.7 years) were included from our single-center experience. Ultrasonography (US), computed tomography (CT), and magnetic resonance imaging (MRI) available were reviewed according to an analysis grid incorporating features from the latest research on STS. Clinical, histological, and outcome data were collected. MRI was available in 10 patients (83.3%), US in 7 patients (58.3%), and CT in 3 patients (25%). Mean longest tumor diameter was 7.6 ± 2.9 cm, and all tumors were deeply seated. Large peritumoral feeding vessels were systematically found and identified on ultrasonography (7/7), MRI (10/10), and CT (3/3). US revealed a well-defined heterogeneous hypoechoic pattern, with abundant flow signals in all patients (7/7). In all patients, MRI showed mildly high signal intensity (SI) on T1-WI and high SI on T2-WI and peritumoral edema. Moreover, flow-voids (due to arteriosus high-flow) into the peritumoral/intratumoral feeding vessels were detected in the MRI fluid-sensitive sequences of all patients. At baseline, whole-body contrast-enhanced CT revealed metastases in 8/12 (66.7%) patients. A pre-treatment longest diameter > 5 cm was significantly associated with distant metastases at diagnosis (p = 0.01). A maximum diameter > 5 cm represents a risk of metastatic disease at diagnosis (odds ratio = 45.0000 (95% CI: 1.4908-1358.3585), p = 0.0285). In the comprehensive literature review, we found 14 articles (case series or original research) focusing on ASPS imaging, with a total of 151 patients included. Merging our experience with the data from the existing literature, we conclude that the hallmark of ASPS imaging at presentation are the following characteristics: deep location, a slight hyperintense MRI SI on T1-WI and a hyperintense SI on T2-WI, numerous MRI flow voids, high internal vascularization, and large peritumoral feeding vessels.