ISB News

New Diagnostic Method Predicts Therapy Response in Lung Cancer Patients

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.

A Mixture of Markers from Two Distinct Cell Types Indicates Poor Prognosis in Breast Cancer

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….

John Chevillet is a postdoc in the Hood Lab at Institute for Systems Biology in Seattle.

ISB Innovations: Ultrasound-Based Tumor Biopsies

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…