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  • Single-cell RNA sequencing ...
    Kim, Nayoung; Kim, Hong Kwan; Lee, Kyungjong; Hong, Yourae; Cho, Jong Ho; Choi, Jung Won; Lee, Jung-Il; Suh, Yeon-Lim; Ku, Bo Mi; Eum, Hye Hyeon; Choi, Soyean; Choi, Yoon-La; Joung, Je-Gun; Park, Woong-Yang; Jung, Hyun Ae; Sun, Jong-Mu; Lee, Se-Hoon; Ahn, Jin Seok; Park, Keunchil; Ahn, Myung-Ju; Lee, Hae-Ock

    Nature communications, 05/2020, Letnik: 11, Številka: 1
    Journal Article

    Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell transcriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions.