Searchable abstracts of presentations at key conferences in endocrinology
Endocrine Abstracts (2009) 20 P181

ECE2009 Poster Presentations Endocrine tumours and neoplasia (53 abstracts)

Steroidogenic factor 1 – a valuable diagnostic and prognostic tool in patients with adrenocortical carcinoma

Silviu Sbiera 1 , Sebastian Schmull 1 , Hans-Ullrich Voelker 2 , Luitgard Kraus 1 , Felix Beuschlein 3 , Holger Willenberg 4 , Stefanie Hahner 1 , Bruno Allolio 1 & Martin Fassnacht 1


1Endocrine and Diabetes Unit, Department of Medicine I, University Hospital Würzburg, Wurzburg, Germany; 2Department of Pathology, University Hospital Würzburg, Wurzburg, Germany; 3Department of Endocrinology, University of Munich, Munich, Germany; 4Department of Endocrinology, University of Düsseldorf, Dusseldorf, Germany.


Objectives: No immunohistochemical marker has yet been established to reliably differentiate adrenocortical tumors from other adrenal masses (e.g. metastases). Thus, a panel of several markers like melan A and inhibin is currently used for this purpose, but suffers from limited diagnostic accuracy. We hypothesized that expression of steroidogenic factor 1 (SF-1), a nuclear transcription factor involved in adrenal development and steroidogenesis, might hold significant diagnostic potential for the differential diagnosis of adrenal masses. Moreover, SF-1 overexpression has been associated with increased cell proliferation and tumorigenesis in an adrenocortical mouse model. Therefore, the prognostic value of SF-1 expression in human ACC was also investigated.

Methods: SF-1 protein expression was assessed by immunohistochemistry with a commercially available specific monoclonal antibody (Perseus Proteomics, Japan) using tissue microarrays and regular tissue slides of formalin-fixed paraffin-embedded tissue samples from 156 ACCs, 15 adrenocortical adenomas, four normal adrenal glands, 50 malignant non-adrenal tissues (including colon, breast, kidney and lung cancer) and normal ovary. We also correlated SF-1 protein expression with clinical outcome in patients with ACC using Kaplan–Maier and Cox-regression analysis.

Results: SF-1 expression was detectable in 150/156 (96%) of ACC samples including 43 (28%) with strong SF1 staining and in 15/15 adrenocortical adenomas. In contrast, SF-1 expression was absent in all of the non-adrenocortical tissues except in granulosa cells of the ovary. In addition, strong SF-1 expression significantly correlated with poor clinical outcome (tumor stage adjusted hazard ratio for death 2.0 (95%CI 1.3–3.3; P<0.01).

Conclusion: Our study indicates that SF-1 is a promising immunohistological marker to determine the adrenocortical origin of an adrenal mass with high specificity. In addition, SF-1 expression is of prognostic value in patients with ACC.

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