Integrative network biology analysis identifies miR-508-3p as the determinant for the mesenchymal identity and a strong prognostic biomarker of ovarian cancer.

Authors Zhao L†, Wang W†, Xu L, Yi T, Zhao X, Wei Y, Vermeulen L, Goel A, Zhou S* and Wang X* Oncogene 2018, doi:https://doi.org/10.1038/s41388-018-0577-5 Abstract Ovarian cancer is a heterogeneous malignancy that poses tremendous clinical challenge. Based on unsupervised classification of whole-genome gene expression profiles, four molecular subtypes of ovarian cancer were recently identified. However, single-driver molecular events specific to these subtypes have not been clearly elucidated. We aim to characterize the regulatory mechanisms underlying the poor prognosis mesenchymal subtype of ovarian cancer using a systems biology approach, involving a variety of molecular modalities including gene and microRNA expression profiles.

Continue reading

A multidimensional network approach reveals microRNAs as determinants of the mesenchymal colorectal cancer subtype.

Authors Fessler E, Jansen M, De Sousa E Melo F, Zhao L, Prasetyanti PR, Rodermond H, Kandimalla R, Linnekamp JF, Franitza M, van Hooff SR, de Jong JH, Oppeneer SC, van Noesel CJM, Dekker E, Stassi G, Wang X*, Medema JP*, and Vermeulen L*. Oncogene 2016, doi:10.1038/onc.2016.134 Abstract Colorectal cancer (CRC) is a heterogeneous disease posing a challenge for accurate classification and treatment of this malignancy. There is no common genetic molecular feature that would allow for the identification of patients at risk for developing recurrences and thus selecting patients who would benefit from more stringent therapies still poses a major clinical challenge.

Continue reading