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Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma.
- Source :
-
Nature communications [Nat Commun] 2020 May 08; Vol. 11 (1), pp. 2285. Date of Electronic Publication: 2020 May 08. - Publication Year :
- 2020
-
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.
- Subjects :
- Adaptive Immunity
Adenocarcinoma of Lung blood supply
Adenocarcinoma of Lung immunology
Adenocarcinoma of Lung pathology
Cell Lineage
Disease Progression
Endothelial Cells pathology
Humans
Ligands
Lung Neoplasms blood supply
Lung Neoplasms immunology
Lung Neoplasms pathology
Myeloid Cells pathology
Myofibroblasts pathology
Neoplasm Metastasis
Neoplasm Staging
Neovascularization, Pathologic pathology
Phenotype
Receptors, Cell Surface metabolism
Stromal Cells metabolism
Survival Analysis
Adenocarcinoma of Lung genetics
Cellular Reprogramming genetics
Lung Neoplasms genetics
Sequence Analysis, RNA
Single-Cell Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 32385277
- Full Text :
- https://doi.org/10.1038/s41467-020-16164-1