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Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma.

Nayoung KimHong Kwan KimKyungjong LeeYourae HongJong Ho ChoJung Won ChoiJung-Il LeeYeon-Lim SuhBo Mi KuHye Hyeon EumSoyean ChoiYoon-La ChoiJe-Gun JoungWoong-Yang ParkHyun Ae JungJong-Mu SunSe-Hoon LeeJin Seok AhnKeunchil ParkMyung-Ju AhnHae-Ock Lee
Published in: Nature communications (2020)
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.
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