Abstract: The present invention relates to methods of diagnosing melanoma in a subject, the method comprising detecting microRNA expression levels. The present invention also relates to methods of assessing the disease stage of melanoma and/or monitoring said melanoma stage. Also, the present invention relates to selecting a treatment or modifying a treatment based on the diagnosis or stage of melanoma. Further the present invention relates to a system for detecting and diagnosing melanoma in a patient and for determining the disease stage of melanoma.

Abstract: The present invention relates to methods of diagnosing melanoma in a subject, the method comprising detecting microRNA expression levels. The present invention also relates to methods of assessing the disease stage of melanoma and/or monitoring said melanoma stage. Also, the present invention relates to selecting a treatment or modifying a treatment based on the diagnosis or stage of melanoma. Further the present invention relates to a system for detecting and diagnosing melanoma in a patient and for determining the disease stage of melanoma.

Abstract: A system (100) for classifying a biological test sample, including a database (112) populated with reference expression data. The reference expression data includes expression levels of a plurality of molecules (polynucleotides or polypeptides), including a set of marker molecules, in a plurality of reference samples. Each reference sample has a pre-assigned value for each of one or more clinically significant variables. The system includes at least one processor (110) and at least one storage medium containing program instructions for execution by said processor (110). The program instructions cause the processor to accept (122) input expression data including a test vector of expression levels of the marker molecules in the biological test sample; and pass the input expression data to one or more analysis programs (130a, 130b, 35).

Abstract: The present invention relates to gene marker sets for use in classification of cancer patients on the basis of expression of multiple biological markers. The gene marker sets allow identification of the tissue of origin of a metastatic tumor, provide prognostic data on breast cancer recurrence, prognostic data on colon cancer recurrence in cancer patients, or prognosis of increased risk of death of lung cancer patients. The invention also provides methods of use of the gene marker sets for classification. The invention is particularly suited to the generation of microarrays and other high-throughput platforms for diagnostic and prognostic purposes.

Abstract: A system (100) for classifying a biological test sample, including a database (112) populated with reference expression data. The reference expression data includes expression levels of a plurality of molecules (polynucleotides or polypeptides), including a set of marker molecules, in a plurality of reference samples. Each reference sample has a pre-assigned value for each of one or more clinically significant variables. The system includes at least one processor (110) and at least one storage medium containing program instructions for execution by said processor (110). The program instructions cause the processor to accept (122) input expression data including a test vector of expression levels of the marker molecules in the biological test sample; and pass the input expression data to one or more analysis programs (130a, 130b, 35).