Developing a diagnostic model to differentiate the well-differentiated lipomatous tumors based on clinicopathological characteristics

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.

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Publication Details

Journal
Scientific Reports
Published
2025-11-05
DOI
https://doi.org/10.1038/s41598-025-22547-5
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing a diagnostic model to differentiate the well-differentiated lipomatous tumors based on clinicopathological characteristics

Jingjing Wu, Xiangna Chen, Zhenzhen Zhang, Fangling Song et al.
Scientific Reports
Sarcoma Diagnosis and Treatment
article

Developing a diagnostic model to differentiate the well-differentiated lipomatous tumors based on clinicopathological characteristics

Jingjing Wu, Xiangna Chen, Zhenzhen Zhang, Fangling Song, Huang Shanshan
article en

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.

Scientific ReportsVol. 15(1)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
Fujian Medical University
Openalex Percentile: Top 53%
Sarcoma Diagnosis and Treatment
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