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By taking detailed measurements of blood and other biological samples, ISB scientists have shown they can identify markers for cancer years before diagnosis. This was the topic of a recent Research Roundtable presentation delivered by Dr. Andrew Magis, Director of Data Science in ISB’s Health Data Science Lab.
By using single-cell analysis to measure metabolic activities in rare disseminated tumor cells taken from non-small cell lung cancer (NSCLC) patients, ISB researchers and their collaborators can accurately predict how patients will respond to various cancer therapies, and how treatments will impact a patient’s physiological performance and survival.
3 Bullets: Identifying the most aggressive cells in cancer (cancer stem cells) is essential for designing effective therapy and predicting patient outcomes. Using single-cell analysis techniques, researchers at ISB and Luxembourg Centre for Systems Biomedicine have identified the molecular signatures of two types of malignant breast tissue cells. Researchers found an interesting twist: the two cell types “cooperate” to increase malignancy potential and they promote a third hybrid stem-cell type….
Name: John Chevillet, PhD Lab: Hood Research: I am trying to develop an ultrasound-based method to take a sample from a tumor, thus replacing needle biopsies. An ultrasound-based method would minimize complications, better diagnose cancers, and direct the use of targeted therapies for personalized medicine. Wish List: If I had $10,000, I could analyze the blood specimens we currently have for cancer dna to demonstrate what this method can tell…