Skip to Content

Novel Chip for Monitoring Breast Cancer

An easy way to monitor estrogen levels could improve cancer treatment.
October 8, 2009
A new microfluidic device (above), developed by scientists at the
University of Toronto, can measure estrogen levels in very small
samples of tissue. The device, which will be used to monitor breast
cancer patients, uses digital microfluidics, in which discrete droplets
(colored with dyes in the picture) are manipulated on an open surface
by application of electrical potentials to an array of electrodes.
Credit: Aaron Wheeler

A microfluidics chip that can easily detect estrogen levels in breast cancer patients could give physicians a new way to monitor the disease. The chip, developed by scientists at the University of Toronto, uses electrical signals to move droplets of fluids around a microfluidics circuit, and it requires a blood or tissue sample 1,000 times smaller than that required by current methods. “If the technique becomes widely available, we could replace biopsies with pinpricks,” says Aaron Wheeler, an engineer at the University of Toronto who developed the device.

The hormone estrogen plays a large role in many breast cancers, encouraging the growth of breast cancer cells. Some drugs such as Tamoxifen specifically block estrogen activity. The ability to routinely measure estrogen in breast tissue could give physicians a way of monitoring the effectiveness of cancer drugs, and it might even help assess the risk of recurrence or of developing the disease. “We have solid evidence that measuring estrogen inside the breast is important,” says Noha Mousa, a physician at the University of Toronto who helped run the study. “If there is a high estrogen level, we know the drugs are not doing their job, and there is a likelihood of recurrence.” However, estrogen isn’t routinely measured in breast cancer patients because it requires a substantial tissue sample acquired through a painful and invasive biopsy.

Because the new chip takes such small samples, tissue can now be collected via a whisper-thin needle. In addition, the chip can measure estrogen levels in blood, saliva, or tissue, eliminating the preparation steps required by existing methods. “This device is the first we are aware of to accept raw unprocessed tissue as input, which we believe will eventually allow very quick turnaround,” says Wheeler.

The device is still considered experimental, but Wheeler says his group is looking for funding to build a commercial prototype of the technology. He envisions two versions–one that would be used in a lab, and a smaller, point-of-care device that could be used in a doctor’s office–and expects a commercial version to be available within the next five years.

Mousa plans to use the chip in a clinical trial funded by the Canadian Breast Cancer Foundation to measure hormone levels before and after treatment. “I believe this method will be useful for many applications in women’s health,” she says. “We can apply the same technique to many other steroid hormones.”

She also hopes to use the technology to determine if estrogen levels in breast tissue of healthy women at risk for breast cancer can help predict their risk. “We have not been able to do that in healthy women because it requires taking a big sample,” she says.

This video illustrates how estrogen is extracted from a drop of human blood using a novel microfluidics chip developed at the University of Torotono. The samples are lysed, and then the estrogen is extracted into a polar solvent (methanol), while the unwanted parts of the blood sample are extracted into a non-polar solvent (isooctane).

Video Courtesy of Dr. Aaron Wheeler

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.