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Differential Expression Analysis of Cutaneous Squamous Cell Carcinoma and Basal Cell Carcinoma Proteomic Profiles Sampled with Electroporation-Based Biopsy.
- Source :
-
JID innovations : skin science from molecules to population health [JID Innov] 2024 Aug 03; Vol. 4 (6), pp. 100304. Date of Electronic Publication: 2024 Aug 03 (Print Publication: 2024). - Publication Year :
- 2024
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Abstract
- Clinical misdiagnosis between cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) affects treatment plans. We report a tissue sampling approach with molecular biopsy using electroporation. This method, coined electroporation-based biopsy (e-biopsy), enables nondestructive nonthermal permeabilization of cells in the skin for vacuum-assisted extraction of biomolecules. We used e-biopsy for ex vivo proteome extraction from 3 locations per patient in 21 cSCC, 20 BCC, and 7 actinic keratosis human skin samples. Using liquid chromatography with tandem mass spectrometry, we identified 5966 proteins observed with nonzero intensity in at least 1 sample. The intrapatient Pearson correlation of 0.888 ± 0.065 for patients with BCC, 0.858 ± 0.077 for patients with cSCC, and 0.876 ± 0.116 for those with solar actinic keratosis indicates high consistency of the e-biopsy sampling. The mass spectra presented significantly different proteome profiles for cSCC, BCC, and solar actinic keratosis, with several hundreds of proteins differentially expressed. Notably, our study showed that proteomes sampled with e-biopsy from cSCC and BCC lesions are different and that proteins of CRNN , SULT1E1 , and ITPK1 genes are significantly overexpressed in BCC in comparison with those in cSCC. Our results provide evidence that the e-biopsy approach could potentially be used as a tool to support cutaneous lesions classification with molecular pathology.<br /> (© 2024 The Authors.)
Details
- Language :
- English
- ISSN :
- 2667-0267
- Volume :
- 4
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- JID innovations : skin science from molecules to population health
- Publication Type :
- Academic Journal
- Accession number :
- 39497856
- Full Text :
- https://doi.org/10.1016/j.xjidi.2024.100304