I’m
going to quote a lot from a ScienceDaily.com article because
it sounds a bit fantastical and I don’t want to get this wrong.
“Researchers
at University of California, San Diego School of Medicine and Moores Cancer
Center have used computer simulations of cancer cells -- cancer avatars -- to
identify drugs most likely to kill cancer cells isolated from patients' brain
tumors.
The
findings, published in May 21 online issue of the Journal of Translational
Medicine, may help researchers stratify cancer patients for clinical trials
according to their cancers' genomic signatures and predicted sensitivities to
different cancer drugs.
Such
an approach would allow scientists to selectively test cancer drugs on those
who would be most likely to respond to them, while simultaneously reducing
patients' exposures to toxic drugs that would likely be ineffective.”
Here’s
a quote that’s stuck with me after reading the piece: "Genomics tells us
that cancers are a lot like snowflakes. No two cancers are alike so it does not
make sense to give all patients the same drugs. This is the idea behind
personalizing therapies for cancer," said lead author Sandeep Pingle, MD,
PhD”
Yes, I know that the lead diagram is kinda small, but I found it really helpful.
Here’s
a link to the Science Daily.com article: http://www.sciencedaily.com/releases/2014/05/140521133123.htm
And
here’s a link to the UC San Diego Health system press release: http://health.ucsd.edu/news/releases/Pages/2014-05-21-cancer-avatars-and-personalized-medicine.aspx
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