Back

Phosphoproteomic analysis of the AKT signalling axis in cutaneous squamous carcinoma progression reveals novel therapeutic targets

Button, R.; Harwood, C.; O'Shaughnessy, R. F.

2022-10-05 cancer biology
10.1101/2022.10.03.510591 bioRxiv
Show abstract

Cutaneous Squamous Cell Carcinoma (cSCC) represents about 20% of all non-melanoma skin cancers. Whilst generally low risk to patients, metastases are associated with a poor prognosis. cSCC incidence is increasing, owing to an ageing population, greater exposure to UV radiation, and more patients receiving immunosuppressive treatments associated with organ transplants. Therefore, there is interest in identifying new biomarkers that may be to track progression of the disease and to exploit as therapeutic vulnerabilities. We show dynamic changes in AKT expression in precursor lesions and in SCC tumour tissue, with initial loss of AKT activity followed by progressive and widespread increase in AKT activity in SCC. Phosphoproteomic analysis and kinase substrate enrichment analysis on a panel of isogenic cSCC cell lines representing different stages of the disease from premalignancy to metastasis revealed several up-regulated kinases and AKT-targets. From this analysis we chose DNA dependent protein kinase (DNA-PK), a key kinase upstream of AKT phoshorlyation, and N-Myc downstream-regulated gene 2 (NDRG2) a downstream AKT phosphorylation target, to investigate in further detail. Both proteins were up-regulated and mis-expressed in a panel of SCC tissue from different patients. We therefore explored the potential of inhibiting DNA-PK and NDRG2 as cSCC treatments. Treatment with the iron chelator Dp44mT decreased levels of phosphorylated NDRG2 and led to significant losses to viability and reduced migration in our cSCC cell lines, while DNA-PK inhibition promoted the differentiation of premalignant and early-stage SCC cell lines. Our results suggest that NDRG2 and DNA-PK may be viable targets in cSCC treatment, with effectiveness at different stages of SCC progression.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Experimental Dermatology
10 papers in training set
Top 0.1%
23.8%
2
Scientific Reports
3102 papers in training set
Top 5%
10.7%
3
Cancers
200 papers in training set
Top 0.3%
10.7%
4
Molecular Oncology
50 papers in training set
Top 0.1%
6.7%
50% of probability mass above
5
Pigment Cell & Melanoma Research
11 papers in training set
Top 0.1%
3.8%
6
eLife
5422 papers in training set
Top 31%
2.7%
7
Frontiers in Oncology
95 papers in training set
Top 2%
2.5%
8
Journal of Investigative Dermatology
42 papers in training set
Top 0.2%
2.2%
9
PLOS ONE
4510 papers in training set
Top 47%
2.2%
10
British Journal of Cancer
42 papers in training set
Top 0.6%
2.2%
11
Nature Communications
4913 papers in training set
Top 46%
2.2%
12
EMBO Molecular Medicine
85 papers in training set
Top 1%
1.9%
13
Journal of Translational Medicine
46 papers in training set
Top 0.7%
1.8%
14
Oncogene
76 papers in training set
Top 0.9%
1.8%
15
International Journal of Cancer
42 papers in training set
Top 0.6%
1.8%
16
Clinical Epigenetics
53 papers in training set
Top 0.7%
1.3%
17
Oncotarget
15 papers in training set
Top 0.3%
0.9%
18
Disease Models & Mechanisms
119 papers in training set
Top 2%
0.9%
19
BMC Cancer
52 papers in training set
Top 2%
0.8%
20
Cell Death Discovery
51 papers in training set
Top 1%
0.8%
21
Cancer Research
116 papers in training set
Top 3%
0.8%
22
Cell Reports Medicine
140 papers in training set
Top 9%
0.7%
23
Archives of Toxicology
14 papers in training set
Top 0.4%
0.5%
24
Cancer Research Communications
46 papers in training set
Top 2%
0.5%
25
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.4%
0.5%
26
Theranostics
33 papers in training set
Top 2%
0.5%