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Single-cell and spatial transcriptomics analysis of non-small cell lung cancer

Author

Listed:
  • Marco Zuani

    (Wellcome Genome Campus
    Wellcome Genome Campus
    University of Cambridge
    Wellcome Trust—Medical Research Council Cambridge Stem Cell Institute)

  • Haoliang Xue

    (Wellcome Genome Campus
    Wellcome Genome Campus
    University of Cambridge
    Wellcome Trust—Medical Research Council Cambridge Stem Cell Institute)

  • Jun Sung Park

    (Wellcome Genome Campus
    Wellcome Genome Campus
    Wellcome Genome Campus)

  • Stefan C. Dentro

    (Wellcome Genome Campus
    DKFZ)

  • Zaira Seferbekova

    (Wellcome Genome Campus)

  • Julien Tessier

    (Sanofi)

  • Sandra Curras-Alonso

    (Sanofi)

  • Angela Hadjipanayis

    (Sanofi)

  • Emmanouil I. Athanasiadis

    (Wellcome Genome Campus
    University of West Attica)

  • Moritz Gerstung

    (Wellcome Genome Campus
    Wellcome Genome Campus
    DKFZ)

  • Omer Bayraktar

    (Wellcome Genome Campus
    Wellcome Genome Campus)

  • Ana Cvejic

    (Wellcome Genome Campus
    Wellcome Genome Campus
    University of Cambridge
    University of Copenhagen)

Abstract

Lung cancer is the second most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide. Tumour ecosystems feature diverse immune cell types. Myeloid cells, in particular, are prevalent and have a well-established role in promoting the disease. In our study, we profile approximately 900,000 cells from 25 treatment-naive patients with adenocarcinoma and squamous-cell carcinoma by single-cell and spatial transcriptomics. We note an inverse relationship between anti-inflammatory macrophages and NK cells/T cells, and with reduced NK cell cytotoxicity within the tumour. While we observe a similar cell type composition in both adenocarcinoma and squamous-cell carcinoma, we detect significant differences in the co-expression of various immune checkpoint inhibitors. Moreover, we reveal evidence of a transcriptional “reprogramming” of macrophages in tumours, shifting them towards cholesterol export and adopting a foetal-like transcriptional signature which promotes iron efflux. Our multi-omic resource offers a high-resolution molecular map of tumour-associated macrophages, enhancing our understanding of their role within the tumour microenvironment.

Suggested Citation

  • Marco Zuani & Haoliang Xue & Jun Sung Park & Stefan C. Dentro & Zaira Seferbekova & Julien Tessier & Sandra Curras-Alonso & Angela Hadjipanayis & Emmanouil I. Athanasiadis & Moritz Gerstung & Omer Bay, 2024. "Single-cell and spatial transcriptomics analysis of non-small cell lung cancer," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48700-8
    DOI: 10.1038/s41467-024-48700-8
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    References listed on IDEAS

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    1. Nayoung Kim & Hong Kwan Kim & Kyungjong Lee & Yourae Hong & Jong Ho Cho & Jung Won Choi & Jung-Il Lee & Yeon-Lim Suh & Bo Mi Ku & Hye Hyeon Eum & Soyean Choi & Yoon-La Choi & Je-Gun Joung & Woong-Yang, 2020. "Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
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    3. Zhilei Bian & Yandong Gong & Tao Huang & Christopher Z. W. Lee & Lihong Bian & Zhijie Bai & Hui Shi & Yang Zeng & Chen Liu & Jian He & Jie Zhou & Xianlong Li & Zongcheng Li & Yanli Ni & Chunyu Ma & Le, 2020. "Deciphering human macrophage development at single-cell resolution," Nature, Nature, vol. 582(7813), pages 571-576, June.
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