Rosetta Genomics Ltd.

Mor Research Applications Ltd.

Gila Lithwick Yanai

Hila Benjamin

Ram Eitan

Yael Spector

Moshe Hoshen

Nir Dromi

Eti Meiri

Moshe Hosen

Zohar Barnett-Itzhaki

Described herein are compositions and methods for the prediction of the prognosis of ovarian cancer subjects. The present invention further provides methods for distinguishing between histological subtypes of ovarian cancer tumors, and also methods and compositions for the treatment or prevention of ovarian cancer. Specifically the invention relates to microRNA molecules associated with said methods and compositions, as well as various nucleic acid molecules relating thereto or derived therefrom.

Compositions and methods for prognosis of ovarian cancer

The present invention provides specific nucleic acid sequences for use in the identification, classification and diagnosis of various sub-types of lung cancers. The present invention permits one to accurately classify lung cancers based on their miR expression profile without further manipulation. Using microRNA microarray data generated from over two hundred formalin-fixed paraffin-embedded (FFPE) resection samples, fine needle aspiration (FNA) samples and fine needle biopsy (FNB) samples of primary lung cancer, microRNA expression profiles were identified that differ significantly for various sub-types of lung cancer.

Methods for lung cancer classification

The present invention provides a method for classification of thyroid tumors through the analysis of the expression patterns of specific microRNAs in fine needle aspiration samples. Thyroid tumor classification according to a microRNA expression signature allows optimization of diagnosis and treatment, as well as determination of signature-specific therapy.

MiRNA expression signature in the classification of thyroid tumors

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Jerusalem, Israel

Gila Lithwick Yanai