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Surgery
Spring 2016

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therapeutics, cancer

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ribbon model of tumor suppressor protein
Tumor suppressor protein (model)

As doctors and researchers explore the effectiveness of treating cancer patients with combinations of chemotherapy drugs, their attention has largely been focused on how much of each drug to prescribe.

Research conducted by members of the Department of Systems Biology at HMS found that achieving best results may also require looking into how much time should pass between delivering one drug and the next.

The research team had been studying how silencing MDMX, an oncogene, affected the dynamics of p53, a natural tumor suppressor, in cancer cells when they realized those same dynamics might affect the cells’ sensitivity to a second chemotherapy-like treatment.

Live imaging of single cells revealed that time wildly affected cell survival. A short wait between disabling MDMX and administering chemotherapy made the two treatments synergistic, killing cancer cells more effectively than either would have alone, while a longer wait led to treatment resistance, allowing more cancer cells to withstand attack.

“This is the first time someone has shown that timing makes such a big difference in cells’ response to combination therapy,” says Galit Lahav, professor of systems biology at HMS and senior author of the paper, published March 11 in Science. “It’s a first look at how one treatment can change the internal state of individual cells to make them more or less sensitive to a second treatment.”

The findings indicate that testing combination treatments at only one time point, whether in lab experiments or clinical trials, may not tell the whole story.

“Right now, cancer clinical trials that use multiple drugs give them simultaneously,” says Sheng-hong Chen, a postdoctoral researcher in the Lahav lab and first author of the paper. “Our work shows that you need to understand the biology at the single-cell level to determine whether timing matters and to design an optimal schedule.”  

Image: Laguna Design/Science Source      

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Issue

Surgery
Spring 2016

Topics

therapeutics, cancer

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