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Published on: January 5, 2017
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A Histopathologic Scoring System for Perineural Invasion Correlates With Adverse Outcomes in Patients With Cutaneous
Mariam B Totonchy1,2, Jennifer M McNiff1, Kathleen C Suozzi1
1Department of Dermatology, Yale School of Medicine, New Haven, CT.
Summary
Quantifying perineural invasion (PNI) features in cutaneous squamous cell carcinoma (cSCC) can predict adverse outcomes. A composite PNI score, based on histopathology, is a strong predictor of recurrence and metastasis in cSCC patients.
Area of Science:
- Dermatology
- Oncology
- Pathology
Background:
- Perineural invasion (PNI) is a significant risk factor for adverse outcomes in cutaneous squamous cell carcinoma (cSCC).
- Current staging systems acknowledge PNI but lack detailed criteria for its extent or severity.
- Identifying specific histopathologic features of PNI is crucial for risk stratification in cSCC.
Purpose of the Study:
- To identify histopathologic features of PNI in cSCC associated with adverse outcomes.
- To evaluate the predictive value of these features for recurrence, metastasis, and mortality.
- To develop a more refined method for assessing PNI risk in cSCC.
Main Methods:
- Retrospective cohort study of 45 patients with cSCC and PNI treated surgically.
- Histopathologic analysis of PNI features including nerve diameter, number of nerves affected, depth, location (intra- vs. extratumoral), and pattern (focal vs. circumferential).
- Statistical analysis, including univariate logistic regression, to correlate PNI features with clinical outcomes.
Main Results:
- Median largest affected nerve diameter was 0.13 mm; median number of nerves involved was 4.
- Six patients (13.3%) experienced adverse outcomes, including local recurrence, metastasis, and tumor-related death within 24 months.
- Nerve diameter, number of affected nerves, and a composite PNI score were significantly associated with adverse outcomes (p = .020 for composite score).
Conclusions:
- Histopathologic features of PNI in cSCC are quantifiable.
- A composite PNI score derived from these features is a strong predictor of adverse outcomes.
- This scoring system may improve risk stratification and patient management for cSCC with PNI.

