The mitochondrial DNA common deletion as a potential biomarker of cancer-associated fibroblasts from skin basal and squamous cell carcinomas.
Gabriele A FontanaMichael R MacArthurNadezhda RotankovaMichela Di FilippoHans-Dietmar BeerHailey L GahlonPublished in: Scientific reports (2024)
Cancer-associated fibroblasts (CAFs) are components of the tumor microenvironment and represent appealing therapeutic targets for translational studies. Conventional protein-based biomarkers for CAFs have been reported to be limited in their specificity, rendering difficult the identification of CAFs from normal fibroblasts (NFs) in clinical samples and dampening the development of CAF-targeted therapies to treat cancer. In this study, we propose the mitochondrial RNA and the mitochondrial DNA (mtDNA) common deletion (CD) as novel indicators of CAF identity. We found that cancer-activation correlated with decreased levels of the mtDNA CD, a condition not due to altered mitochondria count or cellular redox state, but potentially linked to the generalized overexpression of mtDNA maintenance genes in CAFs. Decreased mtDNA CD content in CAFs was associated with moderate to strong overexpression of mtDNA-encoded genes and to slightly improved mitochondrial function. We identified similar patterns of upregulation of mtDNA-encoded genes in independent single-cell RNA seq data obtained from squamous cell carcinoma (SCC) patients. By using the identified nucleic acids-based indicators, identification of CAFs from NFs could be improved, leading to potential therapeutic benefits in advancing translational and clinical studies.
Keyphrases
- mitochondrial dna
- copy number
- squamous cell
- rna seq
- single cell
- genome wide
- bioinformatics analysis
- squamous cell carcinoma
- papillary thyroid
- cell proliferation
- end stage renal disease
- extracellular matrix
- dna methylation
- chronic kidney disease
- oxidative stress
- transcription factor
- high throughput
- genome wide identification
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- lymph node metastasis
- nk cells
- gene expression
- electronic health record
- signaling pathway
- poor prognosis
- machine learning
- young adults
- high intensity
- big data
- childhood cancer
- small molecule