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Single-cell profiling of tumor heterogeneity and the microenvironment in advanced non-small cell lung cancer

Author

Listed:
  • Fengying Wu

    (Tongji University School of Medicine)

  • Jue Fan

    (Singleron Biotechnologies)

  • Yayi He

    (Tongji University School of Medicine)

  • Anwen Xiong

    (Tongji University School of Medicine)

  • Jia Yu

    (Tongji University School of Medicine)

  • Yixin Li

    (Singleron Biotechnologies)

  • Yan Zhang

    (Singleron Biotechnologies)

  • Wencheng Zhao

    (Tongji University School of Medicine)

  • Fei Zhou

    (Tongji University School of Medicine)

  • Wei Li

    (Tongji University School of Medicine)

  • Jie Zhang

    (Tongji University School of Medicine)

  • Xiaosheng Zhang

    (Tongji University School of Medicine)

  • Meng Qiao

    (Tongji University School of Medicine)

  • Guanghui Gao

    (Tongji University School of Medicine)

  • Shanhao Chen

    (Tongji University School of Medicine)

  • Xiaoxia Chen

    (Tongji University School of Medicine)

  • Xuefei Li

    (Tongji University School of Medicine)

  • Likun Hou

    (Tongji University School of Medicine)

  • Chunyan Wu

    (Tongji University School of Medicine)

  • Chunxia Su

    (Tongji University School of Medicine)

  • Shengxiang Ren

    (Tongji University School of Medicine)

  • Margarete Odenthal

    (University Hospital of Cologne
    University of Cologne)

  • Reinhard Buettner

    (University Hospital of Cologne
    University of Cologne)

  • Nan Fang

    (Singleron Biotechnologies)

  • Caicun Zhou

    (Tongji University School of Medicine)

Abstract

Lung cancer is a highly heterogeneous disease. Cancer cells and cells within the tumor microenvironment together determine disease progression, as well as response to or escape from treatment. To map the cell type-specific transcriptome landscape of cancer cells and their tumor microenvironment in advanced non-small cell lung cancer (NSCLC), we analyze 42 tissue biopsy samples from stage III/IV NSCLC patients by single cell RNA sequencing and present the large scale, single cell resolution profiles of advanced NSCLCs. In addition to cell types described in previous single cell studies of early stage lung cancer, we are able to identify rare cell types in tumors such as follicular dendritic cells and T helper 17 cells. Tumors from different patients display large heterogeneity in cellular composition, chromosomal structure, developmental trajectory, intercellular signaling network and phenotype dominance. Our study also reveals a correlation of tumor heterogeneity with tumor associated neutrophils, which might help to shed light on their function in NSCLC.

Suggested Citation

  • Fengying Wu & Jue Fan & Yayi He & Anwen Xiong & Jia Yu & Yixin Li & Yan Zhang & Wencheng Zhao & Fei Zhou & Wei Li & Jie Zhang & Xiaosheng Zhang & Meng Qiao & Guanghui Gao & Shanhao Chen & Xiaoxia Chen, 2021. "Single-cell profiling of tumor heterogeneity and the microenvironment in advanced non-small cell lung cancer," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22801-0
    DOI: 10.1038/s41467-021-22801-0
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    Cited by:

    1. Jiawei Zhou & Amber Cipriani & Yutong Liu & Gang Fang & Quefeng Li & Yanguang Cao, 2023. "Mapping lesion-specific response and progression dynamics and inter-organ variability in metastatic colorectal cancer," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Yuna Landais & Céline Vallot, 2023. "Multi-modal quantification of pathway activity with MAYA," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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