High Proportion of Nuclear Phenotype Identifies Aggressive Cutaneous Squamous Cell Carcinoma

Area of Science:

• Oncology
• Dermatopathology
• Digital Pathology

Background:

• Cutaneous squamous cell carcinoma (cSCC) is a common skin cancer.
• Predicting the aggressiveness of cSCC is crucial for patient management.
• Current methods may not fully capture the risk of recurrence or metastasis.

Purpose of the Study:

• To develop a quantitative histopathology algorithm for predicting cSCC recurrence and metastasis.
• To identify a nuclear phenotype associated with aggressive cSCC.
• To create an aggressiveness score based on nuclear morphology.

Main Methods:

• Retrospective study comparing aggressive (n=40) and nonaggressive (n=35) cSCC lesions.
• Utilized nuclear karyometry to identify specific nuclear phenotypes.
• Derived an aggressiveness score based on the proportion of aggressive nuclear phenotypes.

Main Results:

• Aggressive lesions showed a significantly higher mean aggressiveness score (0.60 ± 0.21) compared to nonaggressive lesions (0.28 ± 0.35).
• The algorithm achieved 72% accuracy in lesion characterization.
• The area under the ROC curve was 0.80 ± 0.05, indicating good discriminatory power.

Conclusions:

• Quantitative histopathology using nuclear phenotype analysis can distinguish between aggressive and nonaggressive cSCC.
• Discriminant functions derived from this algorithm may aid in early diagnosis and risk stratification.
• This approach offers a potential tool for improving patient management of cSCC.