Subtype and Prognostic Classification of Rhabdomyosarcoma by Immunohistochemistry

Rhabdomyosarcoma (RMS) is classified into two main subgroups: the embryonal (ERMS) and the alveolar (ARMS) form. The majority of the ARMSs are associated with specific chromosomal translocations (pARMS). Because ARMS is much more aggressive than ERMS, RMS subclassification has clinical relevance. Ho...

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Veröffentlicht in:Journal of clinical oncology 2006-02, Vol.24 (5), p.816-822
Hauptverfasser: WACHTEL, Marco, RUNGE, Tina, LEUSCHNER, Ivo, STEGMAIER, Sabine, KOSCIELNIAK, Ewa, TREUNER, Jörn, ODERMATT, Bernhard, BEHNKE, Silvia, NIGGLI, Felix K, SCHÄFER, Beat W
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container_end_page 822
container_issue 5
container_start_page 816
container_title Journal of clinical oncology
container_volume 24
creator WACHTEL, Marco
RUNGE, Tina
LEUSCHNER, Ivo
STEGMAIER, Sabine
KOSCIELNIAK, Ewa
TREUNER, Jörn
ODERMATT, Bernhard
BEHNKE, Silvia
NIGGLI, Felix K
SCHÄFER, Beat W
description Rhabdomyosarcoma (RMS) is classified into two main subgroups: the embryonal (ERMS) and the alveolar (ARMS) form. The majority of the ARMSs are associated with specific chromosomal translocations (pARMS). Because ARMS is much more aggressive than ERMS, RMS subclassification has clinical relevance. However, diagnosis of RMS subgroups on the basis of histology or molecular biology can be difficult, and supplementing diagnostic methods would be desirable. The aim of this study was to establish a panel of markers for RMS subgroup classification by immunohistochemistry. Gene expression data were used for selection of subgroup-specific markers. Single sections of RMS with available expression data were used for establishment of the immunohistochemistry. Evaluation of the sensitivity and specificity of the markers was carried out using a tissue array representing 252 RMSs. Kaplan-Meier survival curves were calculated for determination of differences in overall survival of the different staining subgroups. AP2beta and P-cadherin were selected as markers for pARMS, and epidermal growth factor receptor (EGFR) and fibrillin-2 as markers for ERMS. EGFR + fibrillin-2 detected ERMS with a specificity of 90% and with a sensitivity of 60%. AP2beta + P-cadherin detected pARMS with a specificity of 98% and a sensitivity of 64%, and allowed the detection of several misclassified tumors. The EGFR + fibrillin-2-positive group is associated with a favorable outcome, and the AP2beta + P-cadherin-positive group is associated with an unfavorable outcome. The presented set of marker proteins detects RMS subgroups with high specificity and may be useful in routine subtype classification of RMS.
doi_str_mv 10.1200/JCO.2005.03.4934
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The majority of the ARMSs are associated with specific chromosomal translocations (pARMS). Because ARMS is much more aggressive than ERMS, RMS subclassification has clinical relevance. However, diagnosis of RMS subgroups on the basis of histology or molecular biology can be difficult, and supplementing diagnostic methods would be desirable. The aim of this study was to establish a panel of markers for RMS subgroup classification by immunohistochemistry. Gene expression data were used for selection of subgroup-specific markers. Single sections of RMS with available expression data were used for establishment of the immunohistochemistry. Evaluation of the sensitivity and specificity of the markers was carried out using a tissue array representing 252 RMSs. Kaplan-Meier survival curves were calculated for determination of differences in overall survival of the different staining subgroups. AP2beta and P-cadherin were selected as markers for pARMS, and epidermal growth factor receptor (EGFR) and fibrillin-2 as markers for ERMS. EGFR + fibrillin-2 detected ERMS with a specificity of 90% and with a sensitivity of 60%. AP2beta + P-cadherin detected pARMS with a specificity of 98% and a sensitivity of 64%, and allowed the detection of several misclassified tumors. The EGFR + fibrillin-2-positive group is associated with a favorable outcome, and the AP2beta + P-cadherin-positive group is associated with an unfavorable outcome. 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subjects Biological and medical sciences
Biomarkers, Tumor - analysis
Diseases of the osteoarticular system
Gene Expression Profiling
Humans
Immunohistochemistry
Medical sciences
Prognosis
Rhabdomyosarcoma - genetics
Rhabdomyosarcoma - pathology
Sensitivity and Specificity
Survival Analysis
Tumors
Tumors of striated muscle and skeleton
title Subtype and Prognostic Classification of Rhabdomyosarcoma by Immunohistochemistry
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