Predictors of Recurrence and Progression in Poorly Differentiated Cutaneous Squamous Cell Carcinomas: Insights from a Real-Life Experience

医学 逻辑回归 肿瘤进展 内科学 单变量分析 淋巴血管侵犯 病态的 结缔组织增生 背景(考古学) 肿瘤科 回顾性队列研究 转移 多元分析 病理 胃肠病学 癌症 生物 古生物学 胰腺癌
作者
Gabriele Roccuzzo,Giulia Orlando,Maria Rebecca Rumore,Antonio Morrone,Enrico Fruttero,Virginia Caliendo,Franco Picciotto,Alberto Sciarrillo,Pietro Quaglino,Paola Cassoni,Simone Ribero,Rebecca Senetta
出处
期刊:Dermatology [Karger Publishers]
卷期号:: 1-8
标识
DOI:10.1159/000535040
摘要

Introduction Surgery represents the primary treatment option for cutaneous squamous cell carcinoma (cSCC) aiming for complete tumor resection (R0). Recurrence and metastasis significantly affect survival and outcomes, and poorly differentiated (G3) cSCC is associated with a higher risk of recurrence. However, the specific clinical and histopathological features that predict recurrence and progression in G3-cSCC remain unclear. Methods A retrospective analysis was conducted on a series of patients with primary G3-cSCC diagnosed at the Turin University Hospital between January 2016 and January 2021. After independent histological revision, logistic regression models were used to identify clinico-pathological predictors of cutaneous recurrence, lymphnode/metastatic progression, and both types of progression. Results Among the 161 G3-cSCC patients, 80.1% (129/161) showed no signs of local recurrence or metastatic progression, while 19.9% (32 patients) had progressed. In the univariate logistic regression, tumor clinical diameter, depth of infiltration (DOI), and lymphovascular invasion (LVI) were identified as significant predictors across the various types of progression (p<0.05). In the context of multivariate logistic regression, distinct models proved to be significant. For skin recurrence, a 3-variable model incorporating DOI (OR 1.16, 95% CI 1.01-1.35, p=0.050), LVI (OR 3.61, 95% CI 1.11-11.8, p=0.034), and desmoplasia (OR 3.45, 95% CI 1.25-9.5, p=0.017) was selected. Regarding lymphnode/metastatic progression, a 3-variable model combining pT2 (OR 6.10, 95% CI 1.15-32.35, p=0.034), pT3 (OR 14.33, 95% CI 2.79-73.63, p=0.001), and LVI (OR 3.86, 95% CI 1.10-13.62, p=0.036) was identified. Lastly, a 2-variable model for both types of progression consisted of vertical tumor thickness (OR 5.45, 95% CI 1.11-27.32, p=0.039) and LVI (OR 1.15, 95% CI 1.04-1.26, p=0.006). Conclusion Tumor size, depth of infiltration, and LVI were significant predictors of recurrence and metastatic progression. Notably, the size of histologically defined tumor-free margins did not affect the risk of recurrence, whilst LVI emerged as a key predictor of all forms of progression. These findings provide insights into risk stratification and suggest that close monitoring and potential adjuvant therapies, such as radiation therapy, may be necessary especially for patients with lymphovascular involvement.

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