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MicroRNA Expression Profiling of Cutaneous Squamous Cell Carcinomas Arising in Different Sites
Alexander N Rock1, Mason D Fisher2, Gwenyth Amborski2
1Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Objective:
To examine the microRNA (miRNA) expression profile of cutaneous squamous cell carcinoma (cSCC) tumors from aggressive head and neck locations compared with nonaggressive anatomic sites and normal controls.
Study Design:
Retrospective analysis of miRNA expression.
Setting:
Tertiary care center.
Subjects And Methods:
Tissue samples were collected from 3 anatomic regions: aggressive head and neck sites (ie, ears/lip), nonaggressive locations (ie, extremities/trunk), and adjacent normal skin. RNA was isolated from tissue cores of 45 samples (18 aggressive sites, 15 nonaggressive sites, and 12 normal-adjacent skin). miRNA expression analysis was completed for approximately 800 miRNAs using the NanoString nCounter panel. Five candidate miRNAs were selected for validation. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed on the original samples plus 30 additional tissue samples (7 aggressive sites, 14 nonaggressive sites, and 9 normal-adjacent skin).
Results:
Five candidate miRNAs with significant differences in miRNA expression (P < 0 ≤ .001) from discovery samples were selected: miR-21, miR-31, let-7g, miR-93, and miR-22. Relative expression for these miRNAs using qRT-PCR in the new sample set did not reveal any significant differences using 1-way analysis of variance. When sets were combined, miR-21 showed increased expression in aggressive tumors relative to nonaggressive tumors (P = .009), but no others reached statistical significance.
Conclusion:
cSCC behaves more aggressively when originating from specific anatomical subsites of the head and neck. Of 5 miRNAs evaluated, only miR-21 showed significantly higher expression in tumors from aggressive sites relative to nonaggressive sites. Larger sample sizes are needed to evaluate other miRNAs.
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