Publication
Robust diagnosis of Ewing sarcoma by immunohistochemical detection of super-enhancer-driven EWSR1-ETS targets
Journal Paper/Review - Aug 4, 2017
Baldauf Michaela, Akatli Ayse N, Özen Özlem, Dirksen Uta, Hartmann Wolfgang, de Alava Enrique, Baumhoer Daniel, Sannino Giuseppina, Kirchner Thomas, Akpolat Nusret, Li Jing, Ohmura Shunya, Orth Martin F, Dallmayer Marlene, Marchetto Aruna, Gerke Julia S, Rubio Rebeca Alba, Kiran Merve M, Musa Julian, Knott Maximilian M L, Grünewald Thomas G P
Units
PubMed
Doi
Citation
Type
Journal
Publication Date
Issn Electronic
Pages
Brief description/objective
Ewing sarcoma is an undifferentiated small-round-cell sarcoma. Although molecular detection of pathognomonic fusions such as enables definitive diagnosis, substantial confusion can arise if molecular diagnostics are unavailable. Diagnosis based on the conventional immunohistochemical marker CD99 is unreliable due to its abundant expression in morphological mimics. To identify novel diagnostic immunohistochemical markers for Ewing sarcoma, we performed comparative expression analyses in 768 tumors representing 21 entities including Ewing-like sarcomas, which confirmed that , , , and -translocated sarcomas are distinct entities, and revealed that , , and constitute specific markers for Ewing sarcoma. Their high expression was validated by immunohistochemistry and proved to depend on EWSR1-FLI1-binding to highly active proximal super-enhancers. Automated cut-off-finding and combination-testing in a tissue-microarray comprising 174 samples demonstrated that detection of high BCL11B and/or GLG1 expression is sufficient to reach 96% specificity for Ewing sarcoma. While 88% of tested Ewing-like sarcomas displayed strong CD99-immunoreactivity, none displayed combined strong BCL11B- and GLG1-immunoreactivity. Collectively, we show that , , and are EWSR1-FLI1 targets, of which BCL11B and GLG1 offer a fast, simple, and cost-efficient way to diagnose Ewing sarcoma by immunohistochemistry. These markers may significantly reduce the number of misdiagnosed patients, and thus improve patient care.