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Updated: Jan 12, 2026

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis
Published on: May 31, 2020
Developing a diagnostic model to differentiate the well-differentiated lipomatous tumors based on clinicopathological
Jingjing Wu1,2, Zhenzhen Zhang3,4, Fangling Song3,4
1Department of Pathology, The First Affiliated Hospital, Fujian Medical University, No. 20 Chazhong Road, Taijiang Area, Fuzhou, 350005, Fujian Province, China. 4468726@qq.com.
Abstract:
This study evaluated the diagnostic value of clinicopathological features and immunohistochemical markers for distinguishing lipomas from atypical lipomatous tumors/well-differentiated liposarcomas (ALT/WDLPS). An integrated diagnostic model for ALT/WDLPS was developed to guide diagnosis, treatment planning, and prognosis. This retrospective analysis included 216 patients with lipomatous tumors diagnosed between February 2018 and December 2024, including lipomas (n = 149), spindle cell lipomas (n = 3), ALTs/WDLPs (n = 62), and WDLPS with a low-grade de-differentiated component (n = 2). Immunohistochemical data for MDM2, CDK4, and p16 were available for 131 patients. MDM2 amplification was significantly more frequent in patients ≥ 55 years and in tumors of the lower limbs (the thigh) and retroperitoneum (p = 0.000). Larger tumor size and multiplicity were also associated with MDM2 amplification (p < 0.05). Immunohistochemistry sensitivities for ALT/WDLPS vs. lipomas: 65% (MDM2), 100% (CDK4), and 80.4% (p16); combined, the specificity was 100% and sensitivity 85.6%. The diagnostic model achieved 93.3% sensitivity and 72.2% specificity. Scores < 0.219 indicated a higher likelihood of lipoma, while scores > 0.652 indicated a higher likelihood of liposarcoma. Age ≥ 55 years, lower extremity/retroperitoneal location, tumor diameter ≥ 9.9 cm, and positive markers were independent risk factors. This model provides an effective tool for ALT/WDLPS identification.

