Abstract

Kindler syndrome (KS) is a rare genodermatosis resulting from loss-of-function mutations in FERMT1, the gene that encodes Kindlin-1. KS patients have a high propensity to develop aggressive and metastatic cutaneous squamous cell carcinoma (cSCC). Here we show in non-KS-associated patients that elevation of FERMT1 expression is increased in actinic keratoses compared to normal skin, with a further increase in cSCC supporting a pro-tumorigenic role in this population. In contrast, we show that loss of Kindlin-1 leads to increased SCC tumor growth in vivo and in 3D spheroids, which was associated with the development of a hypoxic tumor environment and increased glycolysis. The metalloproteinase Mmp13 was upregulated in Kindlin-1-depleted tumors, and increased expression of MMP13 was responsible for driving increased invasion of the Kindlin-1-depleted SCC cells. These results provide evidence that Kindlin-1 loss in SCC can promote invasion through the upregulation of MMP13, and offer novel insights into how Kindlin-1 loss leads to the development of a hypoxic environment that is permissive for tumor growth.

Details

Title
Involvement of Kindlin-1 in cutaneous squamous cell carcinoma
Author
Carrasco, Giovana 1   VIAFID ORCID Logo  ; Stavrou, Ifigeneia 1 ; Treanor-Taylor, Mairi 2   VIAFID ORCID Logo  ; Beetham, Henry 1   VIAFID ORCID Logo  ; Lee, Martin 1 ; Masalmeh, Roza 1   VIAFID ORCID Logo  ; Carreras-Soldevila, Artur 3   VIAFID ORCID Logo  ; Hardman, David 3 ; Bernabeu, Miguel O. 4 ; von Kriegsheim, Alex 1   VIAFID ORCID Logo  ; Inman, Gareth J. 5   VIAFID ORCID Logo  ; Byron, Adam 6   VIAFID ORCID Logo  ; Brunton, Valerie G. 1 

 University of Edinburgh, Edinburgh Cancer Research, Institute of Genetics and Cancer, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 CRUK Scotland Institute, Glasgow, UK (GRID:grid.4305.2) 
 University of Edinburgh, Centre for Medical Informatics, Usher Institute, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 University of Edinburgh, Centre for Medical Informatics, Usher Institute, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988); University of Edinburgh, The Bayes Centre, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 CRUK Scotland Institute, Glasgow, UK (GRID:grid.4305.2); University of Glasgow, School of Cancer Sciences, Glasgow, UK (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X) 
 University of Edinburgh, Edinburgh Cancer Research, Institute of Genetics and Cancer, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988); Manchester Academic Health Science Centre, Division of Molecular and Cellular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK (GRID:grid.462482.e) (ISNI:0000 0004 0417 0074) 
Pages
24
Publication year
2024
Publication date
Dec 2024
Publisher
Nature Publishing Group
e-ISSN
21579024
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3077589843
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.