Efficient identification of microRNAs for classification of tumor origin (I)

ABSTRACT: Carcinomas of unknown primary origin constitute 3-5% of all newly diagnosed metastatic cancers, of which the primary source is difficult to classify with current histological methods. Effective cancer treatment depends on early and accurate identification of the tumor, which is why patients with metastases of unknown origin have poor prognosis and short survival. Because microRNA expression is highly tissue specific, the microRNA profile of a metastasis may be used to identify its origin. As a first step to realize this goal, we evaluated the potential of microRNA profiling for identification of the primary tumor of known metastases. 208 formalin-fixed paraffin-embedded samples representing 15 different histologies were profiled on an LNA-enhanced microarray platform, which allows for hi

ORGANISM(S): Homo sapiens

SUBMITTER: Søkilde Rolf 

PROVIDER: S-ECPF-GEOD-50890 | biostudies-other |

REPOSITORIES: biostudies-other