Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses
Open accessAbstract
To guide the design of immunotherapy strategies for patients with early stage lung tumors, we developed a multiscale immune profiling strategy to map the immune landscape of early lung adenocarcinoma lesions to search for tumor-driven immune changes. Utilizing a barcoding method that allows a simultaneous single-cell analysis of the tumor, non-involved lung, and blood cells, we provide a detailed immune cell atlas of early lung tumors. We show that stage I lung adenocarcinoma lesions already harbor significantly altered T cell and NK cell compartments. Moreover, we identified changes in tumor-infiltrating myeloid cell (TIM) subsets that likely compromise anti-tumor T cell immunity. Paired single-cell analyses thus offer valuable knowledge of tumor-driven immune changes, providing a powerful tool for the rational design of immune therapies. VIDEO ABSTRACT.
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TREM2+ macrophages have been reported in tumors.
“TREM2+ macrophages have also been reported in tumors (Lavin et al., 2017; Song et al., 2019), but the impact of TREM2 in tumor immune responses has not been addressed.”
From TREM2 Modulation Remodels the Tumor Myeloid Landscape Enhancing Anti-PD-1 Immunotherapy (2020) · cites this paper as Lavin et al., 2017
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Single-Cell Genomics: A Stepping Stone for Future Immunology Discoveries
Giladi, A., & Amit, I. (2018) · Cell · doi:10.1016/j.cell.2017.11.011 · Cited by 168 · see citing works
Self-citationMyeloid cell heterogeneity in cancer: not a single cell alike
Kiss, M., Van Gassen, S., Movahedi, K., Saeys, Y., & Laoui, D. (2018) · Cellular Immunology · doi:10.1016/j.cellimm.2018.02.008 · Cited by 159 · see citing works
TREM2 macrophages induced by human lipids drive inflammation in acne lesions
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The Multifaceted Roles of Macrophages in NAFLD Pathogenesis
Vonderlin, J., Chavakis, T., Sieweke, M., & Tacke, F. (2023) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2023.03.002 · Cited by 96 · see citing works
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Self-citationUsing single‐cell multiple omics approaches to resolve tumor heterogeneity
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Automatic cell type identification methods for single-cell RNA sequencing
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Uncovering axes of variation among single-cell cancer specimens
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Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems
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Neoadjuvant clinical trials provide a window of opportunity for cancer drug discovery
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Immunosuppression and phenotypic plasticity in an atlas of human hepatocholangiocarcinoma
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- Authors
- Lavin, Y., Kobayashi, S., Leader, A., Amir, E.-A. D., Elefant, N., Bigenwald, C., Remark, R., Sweeney, R., Becker, C. D., Levine, J. H., Meinhof, K., Chow, A., Kim-Shulze, S., Wolf, A., Medaglia, C., Li, H., Rytlewski, J. A., Emerson, R. O., Solovyov, A., Greenbaum, B. D., Sanders, C., Vignali, M., Beasley, M. B., Flores, R., Gnjatic, S., Pe’er, D., Rahman, A., Amit, I., & Merad, M.
- Affiliations
- Tisch Cancer Institute (US)
- Weizmann Institute of Science (IL)
- Icahn School of Medicine at Mount Sinai (US)
- Adaptive Biotechnologies (United States) (US)
- ORCID
- Lavin, Yonit
- Kobayashi, Soma
- Leader, Andrew
- Elefant, Naama
- Bigenwald, Camille
- Sweeney, Robert
- Chow, Andrew
- Wolf, Andrea
- Medaglia, Chiara
- Li, Hanjie
- Rytlewski, Julie A.
- Emerson, Ryan O.
- Solovyov, Alexander
- Greenbaum, Benjamin D.
- Sanders, Catherine
- Vignali, Marissa
- Beasley, Mary Beth
- Flores, Raja
- Gnjatic, Sacha
- Pe’er, Dana
- Rahman, Adeeb
- Amit, Ido
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 169
- Issue
- 4
- Pages
- 750-765.e17
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC5737939
- OpenAlex
- W2611596972
- Cited by
- 1,209
- References
- 9
- Citations by year
- 2026: 78 · 2025: 99 · 2024: 99 · 2023: 116 · 2022: 175 · 2021: 193 · 2020: 175 · 2019: 120 · 2018: 108 · 2017: 41 · 2015: 1
- FWCI
- 53.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Foundation pour la Recherche Medicale (DEA20150633125)
- NIH (R01, R01 CA173861, U19AI128949, U24 AI 118644, U19 AI 117873-01)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- early-stage lung adenocarcinoma, tumor immune microenvironment, innate immunity, T cell compartment, natural killer cells, tumor-infiltrating myeloid cells, barcoding, stage I lung cancer
- MeSH terms
- Adenocarcinoma of Lung, Adenocarcinoma, Dendritic Cells, Humans, Immunity, Innate, Killer Cells, Natural, Lung Neoplasms, Macrophages, T-Lymphocytes, Single-Cell Analysis, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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