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; Ignacio Ivan Wistuba

doi:10.1038/s41467-023-37905-y

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, Ignacio Ivan Wistuba

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English (US)
Article number	2364
Journal	Nature communications
Volume	14
Issue number	1
DOIs	https://doi.org/10.1038/s41467-023-37905-y
State	Published - Dec 2023

ASJC Scopus subject areas

General Chemistry
General Biochemistry, Genetics and Molecular Biology
General
General Physics and Astronomy

MD Anderson CCSG core facilities

Biostatistics Resource Group
Tissue Biospecimen and Pathology Resource
Bioinformatics Shared Resource

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10.1038/s41467-023-37905-y

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Parra, E. R., Zhang, J., Jiang, M., Tamegnon, A., Pandurengan, R. K., Behrens, C., Solis, L., Haymaker, C., Heymach, J. V., Moran, C., Lee, J. J., Gibbons, D., & Wistuba, I. I. (2023). Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer. Nature communications, 14(1), Article 2364. https://doi.org/10.1038/s41467-023-37905-y

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title = "Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer",

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.",

author = "Parra, {Edwin Roger} and Jiexin Zhang and Mei Jiang and Auriole Tamegnon and Pandurengan, {Renganayaki Krishna} and Carmen Behrens and Luisa Solis and Cara Haymaker and Heymach, {John Victor} and Cesar Moran and Lee, {Jack J.} and Don Gibbons and Wistuba, {Ignacio Ivan}",

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doi = "10.1038/s41467-023-37905-y",

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AU - Parra, Edwin Roger

AU - Zhang, Jiexin

AU - Jiang, Mei

AU - Tamegnon, Auriole

AU - Pandurengan, Renganayaki Krishna

AU - Behrens, Carmen

AU - Solis, Luisa

AU - Haymaker, Cara

AU - Heymach, John Victor

AU - Moran, Cesar

AU - Lee, Jack J.

AU - Gibbons, Don

AU - Wistuba, Ignacio Ivan

PY - 2023/12

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AB - 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.

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

Abstract

ASJC Scopus subject areas

MD Anderson CCSG core facilities

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