Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma

• Published in: Endocrine pathology Vol. 34; no. 2; pp. 224 - 233
• Main Authors: Luconi, Michaela, Cantini, Giulia, van Leeuwaarde, Rachel S., Roebaar, Rogina, Fei, Laura, Propato, Arianna Pia, Santi, Raffaella, Ercolino, Tonino, Mannelli, Massimo, Canu, Letizia, de Krijger, Ronald R., Nesi, Gabriella
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-06-2023; Springer Nature B.V
• Subjects: Carcinoma; Endocrinology; Malignancy; Medical prognosis; Medicine; Medicine & Public Health; Necrosis; Neuroendocrine tumors; Oncology; Pathology; Principal components analysis; Regression analysis; Survival; Tumors; ACC; Survival analysis; Weiss score; Principal component analysis
• DOI: 10.1007/s12022-023-09760-6
• EISSN: 1559-0097
• ISSN: 1046-3976

Adrenal cortical carcinoma (ACC) is an uncommon neoplasm with variable prognosis. Several histologic criteria have been identified as predictors of malignancy in adrenal cortical tumors. The Weiss score is the system most widely employed for diagnostic purposes, but also possesses prognostic value. We aim to determine the relative impact of each Weiss parameter on ACC patient survival. A multicenter retrospective analysis was conducted on a series of 79 conventional ACCs surgically treated at the Florence and Utrecht centers of the European Network for the Study of Adrenal Tumors (ENSAT). Weiss classification was recapitulated using principal component analysis (PCA). The Kaplan–Meier and Cox multivariate regression analyses were applied in order to estimate the prognostic power of Weiss versus other clinical parameters. PCA reduced the nine Weiss parameters to the best fitting 4-component model, each parameter clustering with a single component. Necrosis and venous invasion clustered together with the highest scores, thus establishing the most relevant component (Component 1) to explain Weiss distribution variability. Only Component 1 significantly predicted overall survival (OS, log-rank = 0.008) and disease-free survival (DFS, log-rank < 0.001). When considering the prognostic power of Weiss parameters, necrosis alone could independently assess OS (log-rank = 0.004) and DFS (log-rank < 0.001) at both the Kaplan–Meier and multivariate Cox regression analyses [hazard ratio (HR) = 7.8, 95% confidence interval [CI] = 1.0–63.5,
p
 = 0.05, and HR = 12.2, 95% CI = 1.6–95.0,
p
 = 0.017, respectively]. The presence of necrosis significantly shortened time to survival (TtS) and time to recurrence (TtR), 57.5 [31.5–103.5] vs 34 [12–78] months (
p
 = 0.05) and 57.5 [31.5–103.5] vs 7 [1.0–31.5] months (
p
 < 0.001), respectively. Our study suggests that, of the Weiss parameters, necrosis is the most powerful adverse factor and the best predictor of OS and DFS in ACC patients.