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Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma

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....

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264263/
https://www.ncbi.nlm.nih.gov/pubmed/36952130
http://dx.doi.org/10.1007/s12022-023-09760-6
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author 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
author_facet 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
author_sort Luconi, Michaela
collection PubMed
description 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.
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spelling pubmed-102642632023-06-15 Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma 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 Endocr Pathol Article 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. Springer US 2023-03-23 2023 /pmc/articles/PMC10264263/ /pubmed/36952130 http://dx.doi.org/10.1007/s12022-023-09760-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
title Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
title_full Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
title_fullStr Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
title_full_unstemmed Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
title_short Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
title_sort prognostic value of microscopic tumor necrosis in adrenal cortical carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264263/
https://www.ncbi.nlm.nih.gov/pubmed/36952130
http://dx.doi.org/10.1007/s12022-023-09760-6
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