Abstract B59: Multiparametric imaging to evaluate human and mouse breast carcinoma in situ

Our overall goal is to distinguish aggressive from indolent breast cancers by characterizing determinants of breast cancer progression. The detection of early-stage (in situ) neoplastic lesions in the breast has risen dramatically due to widespread mammography. Early detection represents a significant opportunity to intervene and halt the progression of these early lesions to invasive breast cancer. However, our understanding of the natural history of in situ lesions remains limited. Here, we describe our efforts to characterize the microenvironment of DCIS in patient samples and mouse models using a combination of traditional and novel multiplexed immunostaining methods. In particular, we present our early work on applying multispectral fluorescence imaging as well as highly parametric imaging mass cytometry to describe the immune cells surrounding and infiltrating DCIS, with focus on the interaction of these immune cells with each other and the incipient invasive tumor cells. Future studies will be directed at determining if the immune microenvironment of DCIS can identify patients at risk for progression or recurrence so that these patients can be appropriately managed upfront. Citation Format: Vidya C. Sinha, Fei Yang, Amanda L. Rinkenbaugh, Xinhui Zhou, Xiaomei Zhang, Ignacio I. Wistuba, Helen Piwnica-Worms. Multiparametric imaging to evaluate human and mouse breast carcinoma in situ [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr B59.