RESUMO
BACKGROUND: Previous work with Reflectance Confocal Microscopy (RCM) imaging has shown high sensitivity and specificity for Basal Cell Carcinoma (BCC), but to date there have been few studies on a UK cohort. OBJECTIVES: The study hypothesised that RCM could be used prospectively to accurately diagnose BCC in a private UK secondary care, single clinician setting. The study assessed the potential for RCM to be used as a routine diagnostic procedure. METHODS: 522 lesions were recruited prospectively where BCC featured in the differential diagnosis after clinical examination. 78 were subsequently excluded. Imaging used the arm-mounted confocal microscope unless access was restricted and required the handheld probe. The likelihood of BCC was scored for each modality, each diagnosis building on the last. Histology was assessed by a single blinded histopathologist [JJ]. RESULTS: 444 lesions from 326 patients were included in the analysis, including 327 BCCs. Median maximum diameter was 6 mm. The sensitivity and specificity for BCC was 69.42% (64.11% to 74.37%) and 52.99% (43.55% to 62.28%) for clinical examination alone; 91.77% (88.25% to 94.51%) and 41.03% (32.02% to 50.50%) plus dermoscopy; 98.78% (96.91% to 99.67%) and 85.47% (77.76% to 91.30%) plus RCM. For RCM PPV was 95.01% (92.14% to 97.07%) and NPV was 96.15% (90.44% to 98.94%). Area under the curve increased from 0.61 to 0.66 to 0.92 as modalities were added. CONCLUSION: This study demonstrates that RCM can, reliably and quickly, diagnose BCC, and that the addition of RCM to dermoscopy permits higher diagnostic accuracy for BCC in the UK. The specificity and sensitivity of the RCM diagnosis did not alter significantly with experience, reflecting the ease and speed of acquiring the skill. CLINICAL TRIAL REGISTRATION: NCT03509415.
RESUMO
Reverse phase protein microarray analysis was used to identify cell signaling derangements in squamous cell carcinoma (SCC) compared with actinic keratosis (AK) and upper inner arm (UIA). We analyzed two independent tissue sets with isolation and enrichment of epithelial cells by laser capture microdissection. Set 1 served as a pilot and a means to identify protein pathway activation alterations that could be further validated in a second independent set. Set 1 was comprised of 4 AK, 13 SCC, and 20 UIA. Set 2 included 15 AK, 9 SCCs, and 20 UIAs. Activation of 51 signaling proteins, known to be involved in tumorigenesis, were assessed for set 1 and showed that the MEK-ERK [mitogen-activated protein (MAP)/extracellular signal-regulated (ERK; MEK)] pathway was activated in SCC compared with AK and UIA, and that epidermal growth factor receptor (EGFR) and mTOR pathways were aberrantly activated in SCC. Unsupervised two-way hierarchical clustering revealed that AK and UIA shared a common signaling network activation architecture while SCC was dramatically different. Statistical analysis found that prosurvival signaling through phosphorylation of ASK and 4EBP1 as well as increased Bax and Bak expression was higher in AK compared with UIA. We expanded pathway network activation mapping in set 2 to 101 key signaling proteins, which corroborated activation of MEK-ERK, EGFR, and mTOR pathways through discovery of a number of upstream and downstream signaling molecules within these pathways to conclude that SCC is indeed a pathway activation-driven disease. Pathway activation mapping of SCC compared with AK revealed several interconnected networks that could be targeted with drug therapy for potential chemoprevention and therapeutic applications.