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Abstract
The utility of spatial immunobiomarker quantitation in prognostication and therapeutic prediction is actively being investigated in triple-negative breast cancer (TNBC). Here, with high-plex quantitative digital spatial profiling, we map and quantitate intraepithelial and adjacent stromal tumor immune protein microenvironments in systemic treatment-naïve (female only) TNBC to assess the spatial context in immunobiomarker-based prediction of outcome. Immune protein profiles of CD45-rich and CD68-rich stromal microenvironments differ significantly. While they typically mirror adjacent, intraepithelial microenvironments, this is not uniformly true. In two TNBC cohorts, intraepithelial CD40 or HLA-DR enrichment associates with better outcomes, independently of stromal immune protein profiles or stromal TILs and other established prognostic variables. In contrast, intraepithelial or stromal microenvironment enrichment with IDO1 associates with improved survival irrespective of its spatial location. Antigen-presenting and T-cell activation states are inferred from eigenprotein scores. Such scores within the intraepithelial compartment interact with PD-L1 and IDO1 in ways that suggest prognostic and/or therapeutic potential. This characterization of the intrinsic spatial immunobiology of treatment-naïve TNBC highlights the importance of spatial microenvironments for biomarker quantitation to resolve intrinsic prognostic and predictive immune features and ultimately inform therapeutic strategies for clinically actionable immune biomarkers.
The tumor immune microenvironment is an important determinant of clinical outcomes and therapeutic responses in patients with triple-negative breast cancer (TNBC). Here the authors perform digital spatial profiling of tumor tissues to characterize the spatial immunobiology of treatment-naïve TNBC.
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Details
; Zahrieh, David 5 ; Hillman, David W. 5
; Tenner, Kathleen S. 5 ; Kachergus, Jennifer M. 6 ; Brauer, Heather Ann 7 ; Warren, Sarah E. 8 ; Henderson, David 9 ; Shi, Ji 6 ; Liu, Yi 6 ; Joensuu, Heikki 10
; Lindman, Henrik 11 ; Leon-Ferre, Roberto A. 12 ; Boughey, Judy C. 13
; Liu, Minetta C. 14
; Ingle, James N. 12
; Kalari, Krishna R. 5 ; Couch, Fergus J. 15 ; Knutson, Keith L. 16
; Goetz, Matthew P. 12 ; Perez, Edith A. 2 ; Thompson, E. Aubrey 6
1 University of Alberta, Department of Laboratory Medicine and Pathology, Edmonton, Canada (GRID:grid.17089.37) (ISNI:0000 0001 2190 316X)
2 Division of Hematology and Oncology, Mayo Clinic, Department of Medicine, Jacksonville, USA (GRID:grid.417467.7) (ISNI:0000 0004 0443 9942)
3 Ultima Genomics, Newark, USA (GRID:grid.417467.7)
4 Division of Biomedical Statistics and Informatics, Mayo Clinic, Department of Health Science Research, Jacksonville, USA (GRID:grid.417467.7) (ISNI:0000 0004 0443 9942)
5 Division of Biomedical Statistics and Informatics, Mayo Clinic, Department of Health Science Research, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X)
6 Department of Cancer Biology, Mayo Clinic, Jacksonville, USA (GRID:grid.417467.7) (ISNI:0000 0004 0443 9942)
7 Bill and Melinda Gates Foundation, Seattle, USA (GRID:grid.418309.7) (ISNI:0000 0000 8990 8592)
8 Kite Pharma, Santa Monica, USA (GRID:grid.418227.a) (ISNI:0000 0004 0402 1634)
9 NanoString Technologies, Inc, Seattle, USA (GRID:grid.510973.9) (ISNI:0000 0004 5375 2863)
10 Helsinki University Hospital and University of Helsinki, Department of Oncology, Helsinki, Finland (GRID:grid.15485.3d) (ISNI:0000 0000 9950 5666)
11 University of Uppsala, Department of Oncology, Uppsala, Sweden (GRID:grid.8993.b) (ISNI:0000 0004 1936 9457)
12 Division of Medical Oncology, Mayo Clinic, Department of Oncology, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X)
13 Department of Surgery, Mayo Clinic, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X)
14 Natera, Inc, San Carlos, USA (GRID:grid.434549.b)
15 Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X)
16 Department of Immunology, Mayo Clinic, Jacksonville, USA (GRID:grid.417467.7) (ISNI:0000 0004 0443 9942)




