Researchers have developed a 3D genomic profiling technique to identify small precancerous lesions in the pancreas -- called pancreatic intraepithelial neoplasias -- that lead to one of the most aggressive, deadly pancreatic cancer s.
The research was co-led by Alicia Braxton, D.V.M., Ph.D., a postdoctoral fellow at the Johns Hopkins University School of Medicine, and Ashley Kiemen, Ph.D., an assistant professor of pathology at the medical school. After thinly slicing and staining tissue from 38 normal pancreatic samples onto hundreds of sequential 2D slides, the researchers developed CODA, a machine-learning pipeline, to analyze and reconstruct the slide images into digital 3D images.
The finding that multiple precancerous lesions arose from independent mutations is something that hasn't yet been seen in other organs, says Wood,"but now that we know that PanINs are there, we can work on targeting them, such as through KRAS." "One of the ways we can make a difference for the largest number of people with cancer is through prevention, and better understanding the early precursors to cancer through detailed and anatomic molecular maps is the first step," adds Wood."Until you look in 3D, you don't know what you're missing."
The work was supported by multiple grants from the National Cancer Institute at the National Institutes of Health, the Sol Goldman Pancreatic Cancer Research Center, Lustgarten Foundation, Break Through Cancer, the Buffone Family Gastrointestinal Cancer Research Fund, the Allegheny Health Network -- Johns Hopkins Cancer Research Fund, the American Association for Cancer Research -Bristol Myers Squibb Midcareer Female Investigator Grant, the Rolfe Pancreatic Cancer Foundation, the Joseph C.
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