Pathology quiz case 1. Epithelial-myoepithelial carcinoma (EMC).
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Biomedical subjects
Publications and source records attributed to Deborah Schofield.
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Childhood osteogenic sarcoma (OS) is a rare bone cancer occurring primarily in adolescents. The North American pediatric cooperative groups have performed a series of clinical treatment trials in this disease over the past several decades, and biology studies of tumor tissue have been an important study component. A meeting was held in Bethesda, Maryland on November 29-30, 2001, sponsored by the NIH Office of Rare Diseases, the Children's Oncology Group, and the National Cancer Institute-Cancer Therapy Evaluation Program with the general objectives: (a) to review the current state of knowledge regarding OS biology; (b) to identify, prioritize, and support the development of biology studies of potential clinical relevance in OS; and (c) to discuss the available tissue resources and the appropriate methods for analysis of OS samples for the conduct of biology studies. This report summarizes the information presented and discussed by the meeting participants.
Sequencing of the human genome and rapidly evolving microarray technology have combined to provide investigators with the ability to analyze individual tumors and groups of tumors for global patterns of gene expression. Few of these types of studies have been performed on rhabdomyosarcomas and osteogenic sarcomas, including cell lines and animal models. Groups of expressed genes that may characterize rhabdomyosarcomas and their subgroups and separate them from other types of tumors have been identified. More specifically, genes involved in myogenesis or the inhibition of myogenesis have been identified, as have genes that may play a role in metastatic activity in osteogenic sarcomas. Also, a study documenting the consistent and specific gene expression profile of gastrointestinal stromal tumors has been published. While the data regarding gene expression patterns in sarcomas is accruing, numerous investigators are working on developing and enhancing bioinformatic skills and tools such that the vast amount of data can be converted into knowledge regarding biology, therapeutic responsiveness or resistance, and prognosis.