Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer

Edwin Roger Parra (), Jiexin Zhang, Mei Jiang, Auriole Tamegnon, Renganayaki Krishna Pandurengan, Carmen Behrens, Luisa Solis, Cara Haymaker, John Victor Heymach, Cesar Moran, Jack J. Lee, Don Gibbons and Ignacio Ivan Wistuba
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Edwin Roger Parra: The University of Texas MD Anderson Cancer Center
Jiexin Zhang: The University of Texas MD Anderson Cancer Center
Mei Jiang: The University of Texas MD Anderson Cancer Center
Auriole Tamegnon: The University of Texas MD Anderson Cancer Center
Renganayaki Krishna Pandurengan: The University of Texas MD Anderson Cancer Center
Carmen Behrens: The University of Texas MD Anderson Cancer Center
Luisa Solis: The University of Texas MD Anderson Cancer Center
Cara Haymaker: The University of Texas MD Anderson Cancer Center
John Victor Heymach: The University of Texas MD Anderson Cancer Center
Cesar Moran: The University of Texas MD Anderson Cancer Center
Jack J. Lee: The University of Texas MD Anderson Cancer Center
Don Gibbons: The University of Texas MD Anderson Cancer Center
Ignacio Ivan Wistuba: The University of Texas MD Anderson Cancer Center

Nature Communications, 2023, vol. 14, issue 1, 1-16

Abstract: Abstract Studying the cellular geographic distribution in non-small cell lung cancer is essential to understand the roles of cell populations in this type of tumor. In this study, we characterize the spatial cellular distribution of immune cell populations using 23 makers placed in five multiplex immunofluorescence panels and their associations with clinicopathologic variables and outcomes. Our results demonstrate two cellular distribution patterns—an unmixed pattern mostly related to immunoprotective cells and a mixed pattern mostly related to immunosuppressive cells. Distance analysis shows that T-cells expressing immune checkpoints are closer to malignant cells than other cells. Combining the cellular distribution patterns with cellular distances, we can identify four groups related to inflamed and not-inflamed tumors. Cellular distribution patterns and distance are associated with survival in univariate and multivariable analyses. Spatial distribution is a tool to better understand the tumor microenvironment, predict outcomes, and may can help select therapeutic interventions.

Date: 2023
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DOI: 10.1038/s41467-023-37905-y

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