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Spatial immunopheno...
Spatial immunophenotyping of the tumor microenvironment in non-small cell lung cancer
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- Backman, Max, 1987- (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi,Patrick Micke
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- Strell, Carina (author)
- Patrick Micke
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- Lindberg, Amanda (author)
- Patrick Micke
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- Mattsson, Johanna S. M. (author)
- Patrick Micke
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Elfving, Hedvig (author)
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Brunnström, Hans (author)
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O'Reilly, Aine (author)
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Bosic, Martina (author)
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Gulyas, Miklos (author)
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Isaksson, Johan (author)
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Botling, Johan (author)
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Kärre, Klas (author)
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Jirström, Karin (author)
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Lamberg, Kristina (author)
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Pontén, Fredrik (author)
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Leandersson, Karin (author)
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Mezheyeuski, Artur (author)
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Micke, Patrick (author)
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(creator_code:org_t)
- English.
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
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- Introduction: Immune cells in the tumor microenvironment are associated with prognosis and response to therapy. We aimed to comprehensively characterize the spatial immune phenotypes in the mutational and clinicopathological background of non-small cell lung cancer (NSCLC).Methods: We established a multiplexed fluorescence multispectral imaging pipeline to spatially quantify 13 immune cell subsets in 359 NSCLC cases: CD4 effector cells (CD4 Eff), CD4 regulatory cells (CD4 Treg), CD8 effector cells (CD8 Eff), CD8 regulatory cells (CD8 Treg), B-cells, NK-cells, NKT-cells, M1 macrophages (M1), CD163+ myeloid cells (CD163), M2 macrophages (M2), immature dendritic cells (iDCs), mature dendritic cells (mDCs), and plasmacytoid dendritic cells (pDCs). Results: CD4 Eff cells, CD8 Eff cells, and M1 macrophages were the most abundant immune cells invading the tumor cell compartment and indicated a patient group with a favorable prognosis in the cluster analysis. Likewise, single densities of lymphocytic subsets (CD4 Eff, CD4 Treg, CD8 Treg, and B-cells), as well as pDCs, were independently associated with longer survival. However, when these immune cells were located close to CD8 Treg cells, the favorable impact was attenuated. In the multivariate Cox regression model including cell densities and distances, the densities of M1 and CD163 cells and distances between cells (CD8 Treg–B-cells, CD8 Eff–cancer cells, and B-cells–CD4 Treg) demonstrated positive prognostic impact, while short M2–M1 distances were prognostically unfavorable.Conclusion: We present a unique spatial profile of the in situ immune cell landscape in NSCLC as a publicly available data set. Cell densities and cell distances contribute independently to prognostic information on clinical outcomes, suggesting that spatial information is also crucial for diagnostic use.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Klinisk laboratoriemedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Clinical Laboratory Medicine (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Keyword
- Immune cell infiltration
- multiplex imaging
- checkpoint therapy
- tumor microenvironment
- lung cancer
- NSCLC
- Patologi
- Pathology
- Oncology
- Onkologi
- Immunologi
- Immunology
Publication and Content Type
- vet (subject category)
- ovr (subject category)
To the university's database
- By the author/editor
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Backman, Max, 19 ...
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Strell, Carina
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Lindberg, Amanda
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Mattsson, Johann ...
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Elfving, Hedvig
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Brunnström, Hans
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show more...
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O'Reilly, Aine
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Bosic, Martina
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Gulyas, Miklos
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Isaksson, Johan
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Botling, Johan
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Kärre, Klas
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Jirström, Karin
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Lamberg, Kristin ...
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Pontén, Fredrik
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Leandersson, Kar ...
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Mezheyeuski, Art ...
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Micke, Patrick
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show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Clinical Laborat ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
- By the university
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Uppsala University