Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

Yonit Lavin; Soma Kobayashi; Andrew Leader; El-ad David Amir; Naama Elefant; Camille Bigenwald; Romain Remark; Robert Sweeney; Christian D. Becker; Jacob H. Levine; Klaus Meinhof; Andrew Chow; Seunghee Kim-Shulze; Andrea Wolf; Chiara Medaglia; Hanjie Li; Julie A. Rytlewski; Ryan O. Emerson; Alexander Solovyov; Benjamin D. Greenbaum; Catherine Sanders; Marissa Vignali; Mary Beth Beasley; Raja Flores; Sacha Gnjatic; Dana Pe'er; Adeeb Rahman; Ido Amit; Miriam Merad

doi:https://doi.org/10.1016/j.cell.2017.04.014

Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

Yonit Lavin, Soma Kobayashi, Andrew Leader, El-ad David Amir, Naama Elefant, Camille Bigenwald, Romain Remark, Robert Sweeney, Christian D. Becker, Jacob H. Levine, Klaus Meinhof, Andrew Chow, Seunghee Kim-Shulze, Andrea Wolf, Chiara Medaglia, Hanjie Li, Julie A. Rytlewski, Ryan O. Emerson, Alexander Solovyov, Benjamin D. GreenbaumCatherine Sanders, Marissa Vignali, Mary Beth Beasley, Raja Flores, Sacha Gnjatic, Dana Pe'er, Adeeb Rahman, Ido Amit, Miriam Merad

Department of Systems Immunology

Weizmann Institute of Science

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

Abstract

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.

Original language	English
Pages (from-to)	750-765.e17
Journal	Cell
Volume	169
Issue number	4
DOIs	https://doi.org/10.1016/j.cell.2017.04.014
State	Published - 4 May 2017

All Science Journal Classification (ASJC) codes

General Biochemistry,Genetics and Molecular Biology

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https://doi.org/10.1016/j.cell.2017.04.014

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Lavin, Y., Kobayashi, S., Leader, A., Amir, E. 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., ... Merad, M. (2017). Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses. Cell, 169(4), 750-765.e17. https://doi.org/10.1016/j.cell.2017.04.014

@article{8dcfc209694142049b1382a4655de74b,

title = "Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses",

abstract = "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.",

author = "Yonit Lavin and Soma Kobayashi and Andrew Leader and Amir, {El-ad David} and Naama Elefant and Camille Bigenwald and Romain Remark and Robert Sweeney and Becker, {Christian D.} and Levine, {Jacob H.} and Klaus Meinhof and Andrew Chow and Seunghee Kim-Shulze and Andrea Wolf and Chiara Medaglia and Hanjie Li and Rytlewski, {Julie A.} and Emerson, {Ryan O.} and Alexander Solovyov and Greenbaum, {Benjamin D.} and Catherine Sanders and Marissa Vignali and Beasley, {Mary Beth} and Raja Flores and Sacha Gnjatic and Dana Pe'er and Adeeb Rahman and Ido Amit and Miriam Merad",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Inc.",

year = "2017",

month = may,

day = "4",

doi = "https://doi.org/10.1016/j.cell.2017.04.014",

language = "الإنجليزيّة",

volume = "169",

pages = "750--765.e17",

journal = "Cell",

issn = "0092-8674",

publisher = "Elsevier B.V.",

number = "4",

}

Lavin, Y, Kobayashi, S, Leader, A, Amir, ED, Elefant, N, Bigenwald, C, Remark, R, Sweeney, R, Becker, CD, Levine, JH, Meinhof, K, Chow, A, Kim-Shulze, S, Wolf, A, Medaglia, C, Li, H, Rytlewski, JA, Emerson, RO, Solovyov, A, Greenbaum, BD, Sanders, C, Vignali, M, Beasley, MB, Flores, R, Gnjatic, S, Pe'er, D, Rahman, A, Amit, I & Merad, M 2017, 'Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses', Cell, vol. 169, no. 4, pp. 750-765.e17. https://doi.org/10.1016/j.cell.2017.04.014

TY - JOUR

T1 - Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

AU - Lavin, Yonit

AU - Kobayashi, Soma

AU - Leader, Andrew

AU - Amir, El-ad David

AU - Elefant, Naama

AU - Bigenwald, Camille

AU - Remark, Romain

AU - Sweeney, Robert

AU - Becker, Christian D.

AU - Levine, Jacob H.

AU - Meinhof, Klaus

AU - Chow, Andrew

AU - Kim-Shulze, Seunghee

AU - Wolf, Andrea

AU - Medaglia, Chiara

AU - Li, Hanjie

AU - Rytlewski, Julie A.

AU - Emerson, Ryan O.

AU - Solovyov, Alexander

AU - Greenbaum, Benjamin D.

AU - Sanders, Catherine

AU - Vignali, Marissa

AU - Beasley, Mary Beth

AU - Flores, Raja

AU - Gnjatic, Sacha

AU - Pe'er, Dana

AU - Rahman, Adeeb

AU - Amit, Ido

AU - Merad, Miriam

PY - 2017/5/4

Y1 - 2017/5/4

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85018766073&partnerID=8YFLogxK

U2 - https://doi.org/10.1016/j.cell.2017.04.014

DO - https://doi.org/10.1016/j.cell.2017.04.014

M3 - مقالة

SN - 0092-8674

VL - 169

SP - 750-765.e17

JO - Cell

JF - Cell

IS - 4

ER -

Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

Abstract

All Science Journal Classification (ASJC) codes

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