Cancer Studies

Cancer is a complex disease that results from a combination of genetic and environmental perturbations to biomolecular networks that, in healthy tissues,  maintain a homeostatic balance between normal cellular functional states. Computational and statistical techniques for analyzing  primary tumors,  metastases, or cell culture systems can help us to understand cellular dysfunction underlying cancer onset, progression, and metastasis as well as to develop novel diagnostic and prognostic tools.

Featured Projects

  • The study of microRNAs in cancer

    MicroRNAs (miRNAs) are small non-coding RNAs that can regulate gene expression and that are frequently altered in human cancers. Computational approaches can help us understand how miRNAs are dysregulated and potentially offer new therapies.

  • Cancer Target Discovery and Development

    The goal of the CTD2 Network is to understand how tumor heterogeneity leads to drug resistance in order to develop optimal combinations of chemotherapy or small molecules in combination with immunotherapy.

  • Pan-Cancer Atlas

    From the analysis of over 11,000 tumors from 33 of the most prevalent forms of cancer, the Pan-Cancer Atlas provides a uniquely comprehensive, in-depth, and interconnected understanding of how, where, and why tumors arise in humans.

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