Tic-Tac-Toe: Maximum Entropy Analysis of the Spatial T Cell Distribution in the Tumor Microenvironment of Breast Cancer

ORAL

Abstract

The effectiveness of cancer immunotherapy is dependent on the infiltration of T cells into the tumor. Using maximum entropy, we analyzed the spatial distribution of T cells in the tumor microenvironment of tissue resected from triple negative breast cancer patients. We find that at longer length scales (> 200 microns), the distribution is self-similar. Furthermore, there is a distinct difference between good and poor clinical outcome. We discuss possible interpretations as well as the prognostic potential of this approach.

*Work supported in part by a Stand Up To Cancer Convergence grant (SU2C-BCRF-2015-001) and by The V Foundation for Cancer Research SU2C-TVF Convergence Scholar Award (D2015-024).

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Presenters

  • Juliana Wortman

    • Physics and Astronomy, Univ of California - Irvine

Authors

  • Juliana Wortman

    • Physics and Astronomy, Univ of California - Irvine

  • Ting-Fang He

    • City of Hope

  • Anthony Rosario

    • City of Hope

  • Roger Wang

    • City of Hope

  • Xuefei Li

    • Bioengineering, Rice University

  • Herbert Levine

    • Rice Univ
    • Bioengineering, Rice University
    • Rice University
    • Department of Bioengineering, Rice University

  • Gurinder Atwal

    • Cold Spring Harbor Laboratory

  • Peter Lee

    • City of Hope

  • Clare Yu

    • Physics and Astronomy, Univ of California - Irvine
    • Department of Physics and Astronomy, Univ of California - Irvine