Cancer Research UK Cambridge Institute and the Department of Oncology
and the Institute of Astronomy at the University of Cambridge published
an article in the British Journal of Cancer regarding a technique to
find biomarkers for cancer cells in breast tumors. The technique was
originally used by astronomers to find distant galaxies.
The technique used was to find objects in the sky; researchers applied this to immunohistochemistry (IHC). IHC depends on pathologists to find subtle differences between tumor cells.
Testing to see if this worked, researchers looked at over 2,000 tumors. The computer's results were just as accurate as the manual (current) procedure, but much, much faster.
Study lead author Raza Ali, a pathology fellow from Cancer Research UK’s Cambridge Institute at the University of Cambridge, says: “We’ve exploited the natural overlap between the techniques astronomers use to analyze deep sky images from the largest telescopes and the need to pinpoint subtle differences in the staining of tumor samples down the microscope. The results have been even better than we’d hoped, with our new automated approach performing with accuracy comparable to the time-consuming task of scoring images manually, after only relatively minor adjustments to the formula. We’re now planning a larger international study involving samples from more than 20,000 breast cancer patients to further refine our strategy.”For the full article, visit http://www.aalatimes.com/2013/02/25/cancer-researchers-and-astronomers-team-up-to-beat-cancer/.
The technique used was to find objects in the sky; researchers applied this to immunohistochemistry (IHC). IHC depends on pathologists to find subtle differences between tumor cells.
Testing to see if this worked, researchers looked at over 2,000 tumors. The computer's results were just as accurate as the manual (current) procedure, but much, much faster.
Study lead author Raza Ali, a pathology fellow from Cancer Research UK’s Cambridge Institute at the University of Cambridge, says: “We’ve exploited the natural overlap between the techniques astronomers use to analyze deep sky images from the largest telescopes and the need to pinpoint subtle differences in the staining of tumor samples down the microscope. The results have been even better than we’d hoped, with our new automated approach performing with accuracy comparable to the time-consuming task of scoring images manually, after only relatively minor adjustments to the formula. We’re now planning a larger international study involving samples from more than 20,000 breast cancer patients to further refine our strategy.”For the full article, visit http://www.aalatimes.com/2013/02/25/cancer-researchers-and-astronomers-team-up-to-beat-cancer/.
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