Hanley, Christopher J, Waise, Sara, Ellis, Matthew J, Lopez, Maria A, Pun, Wai Y, Taylor, Julian, Parker, Rachel, Kimbley, Lucy M, Chee, Serena J, Shaw, Emily C et al (show 6 more authors)
(2023)
Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer.
NATURE COMMUNICATIONS, 14 (1).
387-.
|
Text
Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung can.pdf - Published version Download (27MB) | Preview |
Abstract
Fibroblasts are poorly characterised cells that variably impact tumour progression. Here, we use single cell RNA-sequencing, multiplexed immunohistochemistry and digital cytometry (CIBERSORTx) to identify and characterise three major fibroblast subpopulations in human non-small cell lung cancer: adventitial, alveolar and myofibroblasts. Alveolar and adventitial fibroblasts (enriched in control tissue samples) localise to discrete spatial niches in histologically normal lung tissue and indicate improved overall survival rates when present in lung adenocarcinomas (LUAD). Trajectory inference identifies three phases of control tissue fibroblast activation, leading to myofibroblast enrichment in tumour samples: initial upregulation of inflammatory cytokines, followed by stress-response signalling and ultimately increased expression of fibrillar collagens. Myofibroblasts correlate with poor overall survival rates in LUAD, associated with loss of epithelial differentiation, TP53 mutations, proximal molecular subtypes and myeloid cell recruitment. In squamous carcinomas myofibroblasts were not prognostic despite being transcriptomically equivalent. These findings have important implications for developing fibroblast-targeting strategies for cancer therapy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Fibroblasts, Humans, Carcinoma, Non-Small-Cell Lung, Lung Neoplasms, Single-Cell Analysis, Adenocarcinoma of Lung |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 18 Apr 2023 14:44 |
| Last Modified: | 14 Aug 2023 01:02 |
| DOI: | 10.1038/s41467-023-35832-6 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169662 |
Dimensions
Dimensions
