Brachyury expression in extra-axial skeletal and soft tissue chordomas: a marker that distinguishes chordoma from mixed tumor/myoepithelioma/parachordoma in soft tissue.

Axial chordoma represents approximately 1% of malignant bone tumors. This tumor expresses cytokeratins, specifically cytokeratin 19, and commonly S100. More recently brachyury, a transcription factor important in mesodermal differentiation, including notochord development, has been detected by immunohistochemistry in axial chordomas and hemangioblastomas but not chondrosarcomas or other neoplasms. In this report, we describe 10 cases (6 men, 4 women: age 18 to 68 y; mean 44.6) of extra-axial tumors, 8 in bone and 2 in soft tissue, with morphologic and immunohistochemical features identical to those of axial chordoma. Imaging excluded metastases from axial chordoma. Three tumors occurred in the tibia, the others in the rib, metatarsal, ulna, femur, pubis: 2 intracortical, 6 intramedullary. Both soft tissue brachyury-positive tumors, one involving the thumb the other the wrist, were sited in the juxta-articular region. Seven of the tumors were widely excised and these patients are disease-free but of the 3 tumors that recurred, 1 was curetted, 1 was marginally excised, and 1 had a pathologic fracture on presentation. Metastases have not occurred in any of the patients. We also confirm the expression of brachyury in hemangioblastomas, and for the first time demonstrates its expression in spermatogonia and testicular germ cell tumors by immunohistochemistry. Brachyury was not detected in a wide range of tumors including carcinomas, lymphomas, and sarcomas. In conclusion, we describe the first series of extra-axial skeletal chordomas bringing the total number of such cases reported in the literature to 11, and present the first report of 2 soft tissue chordomas as defined by brachyury expression.

Diagnosing an extra-axial chordoma of the proximal tibia with the help of brachyury, a molecule required for notochordal differentiation.

Chordomas are rare malignant bone tumours considered to arise from notochordal remnants that persist in the axial skeleton. Although their morphology can resemble that of a carcinoma, chondrosarcoma or malignant melanoma, the axial location and their well-defined immunophenotype, including expression of cytokeratins (CK7/20/8/18/19) and S100, generally allow the diagnosis to be made with confidence once the possibility is considered. In contrast, making a robust diagnosis of an extra-axial chordoma has been difficult in the absence of specific markers for chordomas. We have recently shown in gene expression microarray and immunohistochemistry studies that brachyury, a transcription factor crucial for notochordal development, is a specific and sensitive maker for chordomas. We now present a case of an intracortical tibial tumour, with detailed report of the imaging, and morphological features consistent with a chordoma, where notochordal differentiation was demonstrated with an antibody to brachyury. The tumour cells were also positive for cytokeratins, including CK19, and S100, CEA, EMA and HMBE1, findings which support the diagnosis of chordoma. Brachyury can be employed as a marker of notochordal differentiation and help identify confidently, for the first time, extra-axial bone and soft tissue chordomas, and tumours which may show focal notochordal differentiation.

A molecular map of mesenchymal tumors.

BACKGROUND: Bone and soft tissue tumors represent a diverse group of neoplasms thought to derive from cells of the mesenchyme or neural crest. Histological diagnosis is challenging due to the poor or heterogenous differentiation of many tumors, resulting in uncertainty over prognosis and appropriate therapy. RESULTS: We have undertaken a broad and comprehensive study of the gene expression profile of 96 tumors with representatives of all mesenchymal tissues, including several problem diagnostic groups. Using machine learning methods adapted to this problem we identify molecular fingerprints for most tumors, which are pathognomonic (decisive) and biologically revealing. CONCLUSION: We demonstrate the utility of gene expression profiles and machine learning for a complex clinical problem, and identify putative origins for certain mesenchymal tumors.