Single-cell transcriptome and antigen-immunoglobin analysis reveals the diversity of B cells in non-small cell lung cancer

单细胞转录组和抗原免疫球蛋白分析揭示非小细胞肺癌中 B 细胞的多样性

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作者:Jian Chen, Yun Tan, Fenghuan Sun, Likun Hou, Chi Zhang, Tao Ge, Huansha Yu, Chunxiao Wu, Yuming Zhu, Liang Duan, Liang Wu, Nan Song, Liping Zhang, Wei Zhang, Di Wang, Chang Chen, Chunyan Wu, Gening Jiang, Peng Zhang

Background

Malignant transformation and progression of cancer are driven by the co-evolution of cancer cells and their dysregulated tumor microenvironment (TME). Recent studies on immunotherapy demonstrate the efficacy in reverting the anti-tumoral function of T cells, highlighting the therapeutic potential in targeting certain cell types in TME. However, the functions of other immune cell types remain largely unexplored.

Conclusion

Our analysis reveals versatile functions of tumor-infiltrating B cells and their potential clinical implications in NSCLC.

Results

We conduct a single-cell RNA-seq analysis of cells isolated from tumor tissue samples of non-small cell lung cancer (NSCLC) patients, and identify subtypes of tumor-infiltrated B cells and their diverse functions in the progression of NSCLC. Flow cytometry and immunohistochemistry experiments on two independent cohorts confirm the co-existence of the two major subtypes of B cells, namely the naïve-like and plasma-like B cells. The naïve-like B cells are decreased in advanced NSCLC, and their lower level is associated with poor prognosis. Co-culture of isolated naïve-like B cells from NSCLC patients with two lung cancer cell lines demonstrate that the naïve-like B cells suppress the growth of lung cancer cells by secreting four factors negatively regulating the cell growth. We also demonstrate that the plasma-like B cells inhibit cancer cell growth in the early stage of NSCLC, but promote cell growth in the advanced stage of NSCLC. The roles of the plasma-like B cell produced immunoglobulins, and their interacting proteins in the progression of NSCLC are further validated by proteomics data.

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