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Oncogenic signatures mapped in TCGA a guide for the development of personalized therapy
Date:9/27/2013

and scientific developments in the last decade. New high-throughput genomic technologies and lower operating costs have enabled the collection of genetic data from many thousands of tumors. The experience and knowledge accumulated in cancer genomics in many laboratories has taught us which of the many molecular alterations in cancer are likely to contribute to oncogenesis. Linking data and knowledge, new algorithms and methods for large data analysis in the field of computational biology provide the ability to find the proverbial needles in the haystack: to derive cancer-causing molecular genetic signatures and link them to tumor subtypes and potential therapies on the background of extremely high levels of informational noise.

The Memorial Sloan-Kettering team and their colleagues in TCGA and the International Cancer Genome Consortium plan to expand these comprehensive analyses to tens of thousands of tumor samples. A glimpse of the molecular tumor landscape in more than 13,000 tumor samples is already accessible in the cBioPortal for Cancer Genomics at http://www.cbioportal.org.

Principal authors on the study are Giovanni Ciriello, Nikolaus Schultz, and Chris Sander of the Computational Biology Center at Memorial Sloan-Kettering.

The current research was supported in part by the National Cancer Institute under award number U24 CA143840.


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Contact: Caitlin Hool
hoolc@mskcc.org
212-639-3573
Memorial Sloan-Kettering Cancer Center
Source:Eurekalert

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