An optical imaging technique that measures metabolic activity in cancer cells can accurately differentiate breast cancer subtypes, and it can detect responses to treatment as early as 2 days after therapy administration, according to a newly published study.
“The process of targeted drug development requires assays that measure drug target engagement and predict the response (or lack thereof) to treatment,” said Alex Walsh, a graduate student in the Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. “We have shown that optical metabolic imaging (OMI) enables fast, sensitive, and accurate measurement of drug action. Importantly, OMI measurements can be made repeatedly over time in a live animal, which significantly reduces the cost of these preclinical studies.”
Human cells undergo extensive chemical reactions called metabolic activity to produce energy, and this activity is altered in cancer cells. When cancer cells are treated with anticancer drugs, their metabolic activity changes. OMI takes advantage of the fact that two molecules involved in cellular metabolism, nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD), naturally emit fluorescence when exposed to certain forms of light. In this way, OMI generates distinct signatures for cancer cells with a different metabolism and their responses to drugs.
Walsh and colleagues used a custom-built, multiphoton microscope and coupled it with a titanium-sapphire laser that causes NADH and FAD to emit fluorescence. They used specific filters to isolate the fluorescence emitted by these two molecules, and measured the ratio of the two as redox ratio.
When they placed normal and cancerous breast cells under the microscope, OMI generated distinct signals for the two types of cells. OMI could also differentiate between estrogen receptor-positive, estrogen receptor-negative, HER2-positive, and HER2-negative breast cancer cells.
Next, the researchers tested the effect of the anti-HER2 antibody trastuzumab on three breast cancer cell lines that respond differently to the antibody. They found that the redox ratios were significantly reduced in drug-sensitive cells after trastuzumab treatment but unaffected in the resistant cells.
They then grew human breast tumors in mice and treated some of these with trastuzumab. When they imaged tumors in live mice, OMI showed a difference in response between trastuzumab-sensitive and -resistant tumors as early as 2 days after the first dose of the antibody. In comparison, FDG-PET imaging, the standard clinical metabolic imaging technique, could not measure any difference in response between trastuzumab-sensitive and -resistant tumors at any time point in the experiment, which lasted 12 days. Their study was published in Cancer Research (2013; doi:10.1158/0008-5472.CAN-13-0527).
“Cancer drugs have profound effects on cellular energy production, and this can be harnessed by OMI to identify responding cells from nonresponding cells,” said Walsh. “We are hoping to develop a high-throughput screening method to predict the optimal drug treatment for a particular patient.” Importantly, OMI can be used on tissues freshly excised from patients and further development will allow it to be incorporated in endoscopes for live imaging of human cancers.