By matching cells' growth trajectories to their genetic features, a team finds CLL cells' arc of growth is written into their genes early in disease development.
By probing the molecular basis of proteasome inhibitor resistance in cancer cells, a Ó³»´«Ã½-led team finds new vulnerability — and compounds that exploit it.
In a #WhyIScience Q&A, the longtime group leader from the Ó³»´«Ã½â€™s Cancer Program recounts his move from molecular to computational biology and talks about the collaborative effort that went into The Cancer Genome Atlas
Researchers take a broad, multi-faceted look at a large collection of cancer cell lines, creating a new trove of data to explore for drug development opportunities.
Using a new model dubbed DEMETER2, the Ó³»´«Ã½'s Cancer Dependency Map team has compiled the largest dataset of genetic dependencies in cancer to date.
Laboratory study suggests that thalidomide-like drugs could be designed to target a broad array of transcription factors, and open a new landscape of cancer drug development.