Author
Listed:
- Nayoung Kim
(Samsung Medical Center
Sungkyunkwan University School of Medicine
The Catholic University of Korea)
- Hong Kwan Kim
(Sungkyunkwan University School of Medicine)
- Kyungjong Lee
(Sungkyunkwan University School of Medicine)
- Yourae Hong
(Samsung Medical Center
Sungkyunkwan University)
- Jong Ho Cho
(Sungkyunkwan University School of Medicine)
- Jung Won Choi
(Sungkyunkwan University School of Medicine)
- Jung-Il Lee
(Sungkyunkwan University School of Medicine)
- Yeon-Lim Suh
(Sungkyunkwan University School of Medicine)
- Bo Mi Ku
(Sungkyunkwan University School of Medicine)
- Hye Hyeon Eum
(Samsung Medical Center
Sungkyunkwan University School of Medicine
The Catholic University of Korea)
- Soyean Choi
(Samsung Medical Center)
- Yoon-La Choi
(Sungkyunkwan University
Sungkyunkwan University School of Medicine
Sungkyunkwan University School of Medicine)
- Je-Gun Joung
(Samsung Medical Center)
- Woong-Yang Park
(Samsung Medical Center
Sungkyunkwan University School of Medicine
Sungkyunkwan University)
- Hyun Ae Jung
(Sungkyunkwan University School of Medicine)
- Jong-Mu Sun
(Sungkyunkwan University School of Medicine)
- Se-Hoon Lee
(Sungkyunkwan University School of Medicine)
- Jin Seok Ahn
(Sungkyunkwan University School of Medicine)
- Keunchil Park
(Sungkyunkwan University School of Medicine)
- Myung-Ju Ahn
(Sungkyunkwan University School of Medicine)
- Hae-Ock Lee
(Samsung Medical Center
Sungkyunkwan University School of Medicine
The Catholic University of Korea
Sungkyunkwan University)
Abstract
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.
Suggested Citation
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.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16164-1
DOI: 10.1038/s41467-020-16164-1
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