Faculty Bibliography

BACKGROUND:Lymphovascular invasion (LVI) is regarded as a high-risk feature of cutaneous squamous cell carcinoma (CSCC) but is currently absent from CSCC staging systems. OBJECTIVE:To assess whether LVI serves as an independent predictor of major poor outcomes in CSCC. METHODS:Twelve centers contributed to a multinational CSCC database. Clinical and pathologic risk factors, treatment, and patient outcomes were retrospectively collected. CSCCs were stratified based on LVI status. Tumors that developed major poor outcomes defined as nodal metastasis, in-transit metastasis, distant metastasis, and disease-specific death were identified. RESULTS:A total of 23,166 CSCCs were identified, 179 were LVI+ tumors (0.8%). LVI+ tumors had a higher cumulative incidence of major poor outcomes than those without LVI (33.5% vs. 3.2% at 3 years; overall cumulative incidence function p < 0.001). In an adjusted analysis, LVI+ tumors had an 82% increase in the rate of developing major poor outcomes when compared to LVI- tumors (subdistribution hazard ratio (SHR) = 1.82; p = 0.002). Notably, LVI+ low-stage BWH tumors (T1 or T2a) had a greater cumulative incidence of major poor outcomes compared to LVI- BWH low-stage tumors (20.7% vs. 1.61% at 3 years, overall cumulative incidence function p < 0.001). LIMITATIONS/CONCLUSIONS:Retrospective study design CONCLUSION: The presence of LVI in CSCC is a high-risk feature that is an independent predictor of metastasis and disease-specific death in both low and high BWH stage tumors.

IMPORTANCE/UNASSIGNED:Cutaneous squamous cell carcinoma (CSCC) risk stratification is central to management, and physicians rely on tumor staging systems to estimate risk. The Brigham and Women's Hospital (BWH) T staging system predicts risk based on 4 tumor risk factors (RFs). However, stage is not precisely associated with the number of RFs, as BWH stage T2b includes CSCCs with 2 and 3 RFs. OBJECTIVE/UNASSIGNED:To determine how RF number is associated with the risk of recurrence, metastasis, and disease-related death. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This retrospective multination cohort study of CSCCs diagnosed between October 1, 1991, and July 19, 2023, was conducted at 12 centers in the US (10), Spain (1), and Brazil (1). Invasive CSCCs with confirmed negative margins longer than 14 days were included. Tumors were excluded if they were metastatic at presentation or received adjuvant therapy. Data were analyzed from October 2023 to August 2024. INTERVENTIONS OR EXPOSURES/UNASSIGNED:CSCCs were stratified by the number of the following RFs (0, 1, 2, 3, or 4): a diameter of 2 cm or larger, poorly differentiated histology, tumor extension beyond subcutaneous fat, and large caliber nerve invasion. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Five-year cumulative incidences of local recurrence, nodal metastasis, distant metastasis, and disease-specific death. RESULTS/UNASSIGNED:A total of 16 844 CSCCs were included (5978 female individuals [35.5%]; median [IQR] age, 73.9 [65.7-81.8] years), with 0 (12 657 [75.1%]), 1 (2892 [17.2%]), 2 (1015 [6.0%]), 3 ( 225 [1.3%]) or 4 (55 [0.3%]) RFs. Median (IQ) follow up time was 33.6 (14.5-60.3) months. For local recurrence, the risk increased as the number of RF increased from 0 (1.7%; 95% CI, 1.5%-2.0%) to 1 (5.0%; 95% CI, 4.1%-5.9%) to 2 (8.8%; 95% CI, 7.0%-11.0%) to 3 (16.0%; 95% CI, 11.0%-22.0%) to 4 (33.0%; 95% CI, 19.0%-47.0%; P < .001 for between-group differences). This increase was also observed for nodal metastasis (0.6% [95% CI, 0.4%-0.7%] vs 3.6% [95% CI, 2.9%-4.4%] vs 11.0% [95% CI, 9.2%-13.0%] vs 20.0% [95% CI, 15.0%-26.0%] vs 28.0% [95% CI, 15.0%-42.0%], respectively; P < .001), distant metastasis (0.2% [95% CI, 0.1%-0.3%] vs 1.1% [95% CI, 0.7%-1.6%] vs 2.3% [95% CI, 1.4%-3.4%] vs 7.9% [95% CI, 4.6%-12.0%] vs 8.4% [95% CI, 2.6%-19.0%], respectively; P < .001), and disease-specific death (0.3% [95% CI, 0.2%-0.4%] vs 1.9% [95% CI, 1.4%-2.7%] vs 5.4% [95% CI, 4.0%-7.0%] vs 11.0% [95% CI, 6.7%-16.0%] vs 25% [95% CI, 12%-39%], respectively; P < .001). CSCCs with 3 RFs had higher cumulative incidences of local recurrence (1.6-fold), nodal metastasis (1.9-fold), distant metastasis (4.3-fold), and disease-specific death (1.9-fold) compared with those with 2 RFs. CONCLUSIONS AND RELEVANCE/UNASSIGNED:The results of this cohort study suggest that the number of RFs is an indicator of risk, and among BWH T2b tumors, those with 3 RFs represent a higher risk subset.

BACKGROUND:While Brigham and Women's Hospital (BWH) T1 cutaneous squamous cell carcinomas (CSCCs) are overall low risk, a small subset develop poor outcomes. OBJECTIVE:To evaluate the impact of minor risk factors on poor outcomes in T1 tumors. METHODS:Data was collected retrospectively from 11 centers. Univariable and multivariable regression analyses were performed evaluating the impact of minor risk factors (moderate differentiation, diameter 1-2 centimeters, fat invasion, and small-caliber perineural invasion [PNI]) on poor outcomes. Cumulative incidence function (CIF) plots were created for time to poor outcomes by number of minor risk factors. RESULTS:15,481 BWH T1 tumors were included, of which 90 (0.58%) developed major poor outcomes and 332 (2.1%) developed any poor outcome. Minor risk factors that were significant on multivariable analysis included moderate differentiation, diameter, and subcutaneous fat invasion. CIF plots demonstrated an increased risk of poor outcomes with presence of multiple minor risk factors; the risk of metastasis and major poor outcomes exceeded 5% in tumors with 3 minor risk factors. LIMITATIONS/CONCLUSIONS:Retrospective design, limited number of major poor outcomes. CONCLUSION/CONCLUSIONS:T1 tumors with multiple minor risk factors may be eligible for closer surveillance. Future staging systems should consider incorporating both major and minor risk factors.

Primary cutaneous squamous cell carcinoma (cSCC) is responsible for ~10,000 deaths annually in the United States. Stratification of risk of poor outcome at initial biopsy would significantly impact clinical decision-making during the initial post operative period where intervention has been shown to be most effective. Using whole-slide images (WSI) from 163 patients from 3 institutions, we developed a self supervised deep-learning model to predict poor outcomes in cSCC patients from histopathological features at initial diagnosis, and validated it using WSI from 563 patients, collected from two other academic institutions. For disease-free survival prediction, the model attained a concordance index of 0.73 in the development cohort and 0.84 in the Mayo cohort. The model's interpretability revealed that features like poor differentiation and deep invasion were strongly associated with poor prognosis. Furthermore, the model is effective in stratifying risk among BWH T2a and AJCC T2, known for outcome heterogeneity.

BACKGROUND/UNASSIGNED:A deeper understanding of acute rejection in vascularized composite allotransplantation is paramount for expanding its utility and longevity. There remains a need to develop more precise and accurate tools for diagnosis and prognosis of these allografts, as well as alternatives to traditional immunosuppressive regimens. METHODS/UNASSIGNED:Twenty-seven skin biopsies collected from 3 vascularized composite allotransplantation recipients, consisting of face and hand transplants, were evaluated by histology, immunohistochemistry staining, and gene expression profiling. RESULTS/UNASSIGNED:significantly predicted inflammation specific to vascularized composite allografts that required therapeutic intervention. CONCLUSIONS/UNASSIGNED:The mechanism of vascularized composite allograft-specific inflammation and rejection appears to be conserved across different patients and skin on different anatomical sites. A concise gene signature can be utilized to ascertain graft status along with a continuous scale, providing valuable diagnostic and prognostic information to supplement current gold standards of graft evaluation.

BACKGROUND:Limited access to dermatologic care may pose an obstacle to the early detection and intervention of cutaneous malignancies. The role of artificial intelligence (AI) in skin cancer diagnosis may alleviate potential care gaps. OBJECTIVE:The aim of this systematic review was to offer an in-depth exploration of published AI algorithms trained on dermoscopic and macroscopic clinical images for the diagnosis of melanoma, basal cell carcinoma, and cutaneous squamous cell carcinoma (cSCC). METHODS:Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, a systematic review was conducted on peer-reviewed articles published between January 1, 2000, and January 26, 2023. RESULTS AND DISCUSSION/CONCLUSIONS:Among the 232 studies in this review, the overall accuracy, sensitivity, and specificity of AI for tumor detection averaged 90%, 87%, and 91%, respectively. Model performance improved with time. Despite seemingly impressive performance, the paucity of external validation and limited representation of cSCC and skin of color in the data sets limits the generalizability of the current models. In addition, dermatologists coauthored only 12.9% of all studies included in the review. Moving forward, it is imperative to prioritize robustness in data reporting, inclusivity in data collection, and interdisciplinary collaboration to ensure the development of equitable and effective AI tools.

BACKGROUND:Mohs micrographic surgery (MMS) is a promising treatment modality for melanoma in situ (MIS). However, variations in surgical technique limit the generalizability of existing data and may impede future study of MMS in clinical trials. METHODS:A modified Delphi method was selected to establish consensus on optimal MMS techniques for treating MIS in future clinical trials. The Delphi method was selected due to the limited current data, the wide range of techniques used in the field, and the intention to establish a standardized technique for future clinical trials. A literature review and interviews with experienced MMS surgeons were performed to identify dimensions of the MMS technique for MIS that (1) likely impacted costs or outcomes of the procedure, and (2) showed significant variability between surgeons. A total of 8 dimensions of technical variation were selected. The Delphi process consisted of 2 rounds of voting and commentary, during which 44 expert Mohs surgeons across the United States rated their agreement with specific recommendations using a Likert scale. RESULTS:Five of eight recommendations achieved consensus in Round 1. All 3 of the remaining recommendations achieved consensus in Round 2. Techniques achieving consensus in Round 1 included the use of a starting peripheral margin of ≤5 mm, application of immunohistochemistry, frozen tissue processing, and resecting to the depth of subcutaneous fat. Consensus on the use of Wood's lamp, dermatoscope, and negative tissue controls was established in Round 2. CONCLUSIONS:This study generated 8 consensus recommendations intended to offer guidance for Mohs surgeons treating MIS. The adoption of these recommendations will promote standardization to facilitate comparisons of aggregate data in multicenter clinical trials.