Abstract: The present invention relates to microRNAs (miRNAs) which are associated with cancer, particularly including hematologic malignancies, and particularly T-cell acute lymphoblastic leukemia (T-ALL), and to the assessment and modulation thereof in the treatment and management of cancer. The present invention is directed to methods and compositions for diagnosing and treating cancer, particularly T-ALL, by modulating miRNAs, and the use of miRNAs and antagonists thereof, particularly antagomirs, for predicting and assessing response to treatment, in assays for isolating and selecting antagonists, and as compositions for the treatment and management of cancer. Methods and compositions are provided for treatment or alleviation of cancer, particularly T-ALL, with antagonists/antagomirs of miRNAs, particularly one or more of miR-19b, miR-20a, miR26, miR92, miR148 and miR223.

Abstract: The present invention relates to microRNAs (miRNAs) which are associated with cancer, particularly including hematologic malignancies, and particularly T-cell acute lymphoblastic leukemia (T-ALL), and to the assessment and modulation thereof in the treatment and management of cancer. The present invention is directed to methods and compositions for diagnosing and treating cancer, particularly T-ALL, by modulating miRNAs, and the use of miRNAs and antagonists thereof, particularly antagomirs, for predicting and assessing response to treatment, in assays for isolating and selecting antagists, and as compositions for the treatment and management of cancer. Methods and compositions are provided for treatment or alleviation of cancer, particularly T-ALL, with antagonists/antagomirs of miRNAs, particularly one or more of miR-19b, miR-20a, miR26, miR92, miR148 and miR223.

Abstract: The current invention relates to new tools and methods enabling neuroblastoma patient stratification into prognostic favorable or unfavorable groups. The invention is based on the re-analysis of published gene expression data-sets studying neuroblastoma tumors generating different prognostic gene lists. The overlapping gene lists were subsequently tested for their prognostic power on both the published tumor samples and on an unseen large set of unpublished samples, greatly increasing the statistical power of prognostic analyses. In addition, expression analysis of miRNAs in neuroblastoma tumors with different prognosis was performed. By doing this, the inventors could establish a neuroblastoma prognostic classifier with highly improved prognostic power, which is independent from the tumor sample set used to establish it. This classifier and its related prognostic tools and methods are thus perfectly suitable for routine clinical assessment of neuroblastoma prognosis.