Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer. It accounts for about 25 percent of all breast cancer diagnoses.
Massachusetts Institute of TechnologyJul 24 2024 Ductal carcinoma in situ is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer . It accounts for about 25 percent of all breast cancer diagnoses.
In the future, the model could be used as a tool to help clinicians streamline the diagnosis of simpler cases without the need for labor-intensive tests, giving them more time to evaluate cases where it is less clear if DCIS will become invasive. Combining imaging with AI Between 30 and 50 percent of patients with DCIS develop a highly invasive stage of cancer, but researchers don't know the biomarkers that could tell a clinician which tumors will progress.
For this research, they hypothesized that combining this single stain with a carefully designed machine-learning model could provide the same information about cancer stage as costlier techniques. They designed the model to create clusters of cells in similar states, identifying eight states that are important markers of DCIS. Some cell states are more indicative of invasive cancer than others. The model determines the proportion of cells in each state in a tissue sample.
The interesting thing for us was seeing how much spatial organization matters. Previous studies had shown that cells which are close to the breast duct are important. But it is also important to consider which cells are close to which other cells." When they compared the results of their model with samples evaluated by a pathologist, it had clear agreement in many instances.
Tumor Breast Cancer Carcinoma Cell Chromatin Ductal Carcinoma Labor Research RNA RNA Sequencing
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