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Author Notes:

Ahmet F. Coskun, ahmet.coskun@bme.gatech.edu

M.A. and T.H. equally contributed to the experiments, data analysis, and writing of this paper. J.L. assisted in the experiments. J.A., S.B., Y.G.P., and M.B. provided the breast tumor data and contributed to the manuscript. S.S.R. contributed to the design of the work. F.S. contributed to the pathological annotation of this paper. A.F.C. supervised the project and wrote the paper.

A.F.C. holds a Career Award at the Scientific Interface from Burroughs Wellcome Fund and a Bernie-Marcus Early-Career Professorship. A.F.C. was supported by start-up funds from the Georgia Institute of Technology and Emory University. This work was performed in part at the Materials Characterization Facility (MCF) at Georgia Tech. The MCF is jointly supported by the GT Institute for Materials (IMat) and the Institute for Electronics and Nanotechnology (IEN), which is a member of the National Nanotechnology Coordinated Infrastructure supported by the National Science Foundation (Grant ECCS-1542174). Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number P50CA217691 from the Career Enhancement Program. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Supported in part by Winship Cancer Institute # IRG-21-137-07-IRG from the American Cancer Society.

The authors declare no competing interests.

Subjects:

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Oncology
  • TUMOR
  • PROGRESSION
  • CELLS

Spatially variant immune infiltration scoring in human cancer tissues

Tools:

Journal Title:

NPJ PRECISION ONCOLOGY

Volume:

Volume 6, Number 1

Publisher:

, Pages 60-60

Type of Work:

Article | Final Publisher PDF

Abstract:

The Immunoscore is a method to quantify the immune cell infiltration within cancers to predict the disease prognosis. Previous immune profiling approaches relied on limited immune markers to establish patients’ tumor immunity. However, immune cells exhibit a higher-level complexity that is typically not obtained by the conventional immunohistochemistry methods. Herein, we present a spatially variant immune infiltration score, termed as SpatialVizScore, to quantify immune cells infiltration within lung tumor samples using multiplex protein imaging data. Imaging mass cytometry (IMC) was used to target 26 markers in tumors to identify stromal, immune, and cancer cell states within 26 human tissues from lung cancer patients. Unsupervised clustering methods dissected the spatial infiltration of cells in tissue using the high-dimensional analysis of 16 immune markers and other cancer and stroma enriched labels to profile alterations in the tumors’ immune infiltration patterns. Spatially resolved maps of distinct tumors determined the spatial proximity and neighborhoods of immune-cancer cell pairs. These SpatialVizScore maps provided a ranking of patients’ tumors consisting of immune inflamed, immune suppressed, and immune cold states, demonstrating the tumor’s immune continuum assigned to three distinct infiltration score ranges. Several inflammatory and suppressive immune markers were used to establish the cell-based scoring schemes at the single-cell and pixel-level, depicting the cellular spectra in diverse lung tissues. Thus, SpatialVizScore is an emerging quantitative method to deeply study tumor immunology in cancer tissues.

Copyright information:

© The Author(s) 2022

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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