Hanley, Christopher Jon, Waise, Sara, Rachel, Parker, Lopez, Maria-Antoinette, Taylor, Julian, Kimbley, Lucy, West, Jonathon, Ottensmeier, Christian ORCID: 0000-0003-3619-1657, Rose-Zerilli, Mat and Thomas, Gareth
(2020)
Spatially discrete signalling niches regulate fibroblast heterogeneity in human lung cancer.
CANCER RESEARCH, 80 (21).
2020.06.08.134270-.
ISSN 0008-5472, 1538-7445
Abstract
Fibroblasts are functionally heterogeneous cells, capable of promoting and suppressing tumour progression. Across cancer types, the extent and cause of this phenotypic diversity remains unknown. We used single-cell RNA sequencing and multiplexed immunohistochemistry to examine fibroblast heterogeneity in human lung and non-small cell lung cancer (NSCLC) samples. This identified seven fibroblast subpopulations: including inflammatory fibroblasts and myofibroblasts (representing terminal differentiation states), quiescent fibroblasts, proto-myofibroblasts (x2) and proto-inflammatory fibroblasts (x2). Fibroblast subpopulations were variably distributed throughout tissues but accumulated at discrete niches associated with differentiation status. Bioinformatics analyses suggested TGF-β1 and IL-1 as key regulators of myofibroblastic and inflammatory differentiation respectively. However, in vitro analyses showed that whilst TGF-β1 stimulation in combination with increased tissue tension could induce myofibroblast marker expression, it failed to fully re-capitulate ex-vivo phenotypes. Similarly, IL-1β treatment only induced upregulation of a subset of inflammatory fibroblast marker genes. In silico modelling of ligand-receptor signalling identified additional pathways and cell interactions likely to be involved in fibroblast activation, which can be examined using publicly available R shiny applications (at the following links: myofibroblast activation and inflammatory fibroblast activation ). This highlighted a potential role for IL-11 and IL-6 (among other ligands) in myofibroblast and inflammatory fibroblast activation respectively. This analysis provides valuable insight into fibroblast subtypes and differentiation mechanisms in NSCLC.
Item Type: | Article |
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Uncontrolled Keywords: | 32 Biomedical and Clinical Sciences, 3211 Oncology and Carcinogenesis, Cancer, Lung, Genetics, Lung Cancer, 2.1 Biological and endogenous factors, Cancer |
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: | 19 Apr 2023 09:21 |
Last Modified: | 07 Dec 2024 11:59 |
DOI: | 10.1101/2020.06.08.134270 |
Open Access URL: | https://www.biorxiv.org/content/10.1101/2020.06.08... |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169678 |