Research published in Cell on July 7th has shown that patient-derived cancer cell lines harbor most of the same genetic changes found in patients’ tumors, and could be used to learn how tumors are likely to respond to new drugs, increasing the success rate for developing new personalized cancer treatments.
Scientists from the Netherlands Cancer Institute (NKI), the Wellcome Trust Sanger Institute (WTSI), and the European Bioinformatics Institute (EMBL-EBI) discovered a strong link between many of the mutations commonly found in patient cancer samples and sensitivity to specific anti-cancer drugs.
In this systematic, large-scale study, the researchers combined molecular data from tumors and cancer cell lines with drug sensitivity measurements. First, they identified molecular alterations strongly associated with cancer in more than 11,000 tumors across 29 different tumor types. Then they mapped these cancer relevant alterations onto 1000 cancer cell lines and determined whether these alterations explain the response of the cell lines to 265 anti-cancer drugs.
‘These data will help advance personalized cancer medicine by guiding researchers towards cancer specific molecular alterations that clearly associate with drug sensitivity. After further validation, this will allow the creation of clinical trials specifically tailored to well-defined subgroups of patients. Ultimately, this will inform the scientific community about potential anti-cancer drugs given a molecular profile of a tumor’, says joint first author of the study Dr Daniel J. Vis, research fellow at the NKI.
Continue reading A Landscape of Pharmacogenomic Interactions in Cancer
Recently I published a paper on the estimation of IC50 values. The central idea is that it is better to estimate the sensitivity of all items (here, cell lines / compounds) simultaneously compared to one-by-one. This allows us to borrow strength across all the observations and thereby improve stability and accuracy of the estimates. This page intends to give a high-level overview of the proposed method, the peer reviewed publication can be found here (PMID 27180993, Pharmacogenomics, May 2016, Vol. 17, No. 7, Pages 691-700). The associated script/computer code can be found here.
Continue reading Estimating IC50 values
Ook dit jaar span ik mij weer in om geld op te halen voor kankeronderzoek. Ik doe dit ten behoeve van het Nederlandse centrum voor gepersonaliseerde zorg bij kanker. Via Stelvio for Life zamelen wij geld in om de personalisatie van zorg – met behulp van onderzoek – voor meer patiënten een realiteit te maken. Help ons dit doel te bereiken door hieraan bij te dragen, uw donaties gaan volledig naar onderzoek. U kunt hier doneren.
Continue reading Stelvio for Life
This year I’ll be participating in the Stelvio for Life challenge, which raises funds for the Center for Personalized Cancer Treatment (CPCT).
Your donations (via this link) will directly support personalized cancer research.