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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....
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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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. |
format | Online Article Text |
id | pubmed-10264263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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