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.
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Presenters
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Juliana Wortman
Physics and Astronomy, Univ of California - Irvine
Authors
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Juliana Wortman
Physics and Astronomy, Univ of California - Irvine
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Ting-Fang He
City of Hope
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Anthony Rosario
City of Hope
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Roger Wang
City of Hope
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Xuefei Li
Bioengineering, Rice University
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Herbert Levine
Rice Univ, Bioengineering, Rice University, Rice University, Department of Bioengineering, Rice University
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Gurinder Atwal
Cold Spring Harbor Laboratory
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Peter Lee
City of Hope
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Clare Yu
Physics and Astronomy, Univ of California - Irvine, Department of Physics and Astronomy, Univ of California - Irvine