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[Current TNM classification systems for adrenocortical carcinoma].
M Fassnacht1, C Wittekind, B Allolio
1Medizinische Klinik und Poliklinik I, Schwerpunkt Endokrinologie, Universitätsklinikum Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Deutschland. fassnacht_m@medizin.uni-wuerzburg.de
Der Pathologe
|August 13, 2010
Summary
The European Network for the Study of Adrenal Tumours (ENSAT) classification system for adrenocortical carcinoma (ACC) better predicts patient prognosis than the older UICC system. This revised staging is recommended for future clinical use and research.
Area of Science:
- Oncology
- Endocrinology
- Surgical Pathology
Context:
- Adrenocortical carcinoma (ACC) is a rare and challenging endocrine malignancy.
- The Union for International Cancer Control (UICC) introduced the first TNM staging in 2003.
- Previous staging systems showed limitations in differentiating patient outcomes, particularly for UICC stages II and III.
Purpose:
- To evaluate the efficacy of the European Network for the Study of Adrenal Tumours (ENSAT) staging system for adrenocortical carcinoma (ACC).
- To compare the ENSAT system with the existing UICC TNM classification.
- To recommend an improved staging system for clinical and research applications in ACC.
Summary:
- The ENSAT staging system categorizes ACC into four stages based on tumor size, lymph node involvement, local invasion, venous thrombus, and distant metastasis.
- Analysis of the German ACC Registry and an independent American cohort confirmed the superiority of the ENSAT classification in reflecting patient prognosis.
- The ENSAT system differentiates outcomes more effectively than the UICC classification, especially for stages II and III.
Impact:
- The ENSAT classification provides a more accurate prognostic tool for adrenocortical carcinoma patients.
- Adoption of the ENSAT system is recommended for future clinical practice and research in ACC.
- Accurate documentation of resection status is crucial for optimizing treatment decisions in ACC management.

