My lab has a strong translational theme and has two main directions:
1) Development of new quantitative and computational approaches to pathology and their use to classify tumors by prognosis or predict response to cancer therapy (cancer tissue biomarker research).
2) The molecular analysis of growth factor receptors and modulators of the immune system.
Studies fall into three groups:
Group 1: Translational studies using tissue microarray technology, high-plex in situ assessment and quantitative imaging to apply basic molecular observations and tools to diagnostic problems in pathology. Main topics include predicting response to targeted and immune-therapy in breast cancer and lung cancer and melanoma.
Group 2: The use of high-plex and other discovery technologies to construct and validate signatures for recurrence in low stage cancer.
Group 3: The study of biospecimen science and the assessment of reproducibility of subjective parameters used in the practice of pathology. These studies also included image analysis, and computational pathology using neural net or other image processing tools to extract information from the image that is beyond that obtainable by the naked eye.