Literature DB >> 25582500

Helsinki score-a novel model for prediction of metastases in adrenocortical carcinomas.

Mirkka Pennanen1, Ilkka Heiskanen2, Timo Sane3, Satu Remes4, Harri Mustonen2, Caj Haglund5, Johanna Arola6.   

Abstract

Histopathologic diagnosis of adrenocortical tumors is based on adverse features that indicate malignant potential. Proliferation index has served as a supplemental tool in assessing the malignant potential of adrenocortical tumors. None of the current histologic classification systems can sufficiently accurately predict tumors' metastatic potential. We studied 177 consecutive adult patients with primary adrenocortical tumors operated on at Helsinki University Central Hospital between 1990 and 2003, all patients with a minimum follow-up of 5 years. We determined for each tumor the Weiss score and the Weiss revisited score by Aubert. Proliferation index was measured by computer-assisted image analysis. Each of the 9 Weiss criteria and the proliferation index were then used to establish a scoring system to predict the metastatic potential of adrenocortical tumors. Use of stepwise regression analysis led us to propose a calculation: 3 × mitotic rate (>5/50 high-power fields) + 5 × presence of necrosis + proliferation index in the most proliferative area of the tumor. Using a cutoff value of 8.5, the new scoring system was able to diagnose metastatic adrenocortical carcinoma with 100% sensitivity (confidence interval [CI], 76.8%-100%) and 99.4% specificity (CI, 96.6%-100%). The corresponding sensitivity of the Weiss system was 100% (CI, 76.8%-100%), and specificity, 90.2% (CI, 84.6%-94.3%), with sensitivity of the Weiss revisited system at 100% (CI, 76.8%-100%) and specificity at 96.9% (CI, 93.0%-99.0%). The new Helsinki score thus was accurate in predicting the metastatic potential of adrenocortical tumors.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adrenocortical tumor; Carcinoma; Histopathology; Proliferation; Weiss score

Mesh:

Substances:

Year:  2014        PMID: 25582500     DOI: 10.1016/j.humpath.2014.11.015

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  24 in total

1.  The impact of patient-, disease-, and treatment-related factors on survival in patients with adrenocortical carcinoma.

Authors:  Nahid Punjani; Roderick Clark; Jonathan Izawa; Joseph Chin; Stephen E Pautler; Nicholas Power
Journal:  Can Urol Assoc J       Date:  2017-12-22       Impact factor: 1.862

Review 2.  What Did We Learn from the Molecular Biology of Adrenal Cortical Neoplasia? From Histopathology to Translational Genomics.

Authors:  C Christofer Juhlin; Ozgur Mete; Jérôme Bertherat; Thomas J Giordano; Gary D Hammer; Hironobu Sasano
Journal:  Endocr Pathol       Date:  2021-02-03       Impact factor: 3.943

3.  The Utrecht Score: A novel histopathological scoring system to assess the prognosis of dogs with cortisol-secreting adrenocortical tumours.

Authors:  Karin Sanders; Koen Cirkel; Guy C M Grinwis; Erik Teske; Sebastiaan A van Nimwegen; Jan A Mol; Jan Willem Hesselink; Hans S Kooistra; Sara Galac
Journal:  Vet Comp Oncol       Date:  2019-04-07       Impact factor: 2.613

4.  Association of Nrf2 expression and mutation with Weiss and Helsinki scores in adrenocortical carcinoma.

Authors:  Takao Kamai; Satoshi Murakami; Kyoko Arai; Kazuyuki Ishida; Toshiki Kijima
Journal:  Cancer Sci       Date:  2022-05-18       Impact factor: 6.518

Review 5.  Immunohistochemical Biomarkers of Adrenal Cortical Neoplasms.

Authors:  Ozgur Mete; Sylvia L Asa; Thomas J Giordano; Mauro Papotti; Hironobu Sasano; Marco Volante
Journal:  Endocr Pathol       Date:  2018-06       Impact factor: 3.943

Review 6.  5th International ACC Symposium: Classification of Adrenocortical Cancers from Pathology to Integrated Genomics: Real Advances or Lost in Translation?

Authors:  Ronald E de Krijger; Jérôme Bertherat
Journal:  Horm Cancer       Date:  2015-12-16       Impact factor: 3.869

7.  Adrenal cancer: relevance of different grading systems and subtypes.

Authors:  S Minner; J Schreiner; W Saeger
Journal:  Clin Transl Oncol       Date:  2021-04-05       Impact factor: 3.405

8.  Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning.

Authors:  Tiina Vesterinen; Jenni Säilä; Sami Blom; Mirkka Pennanen; Helena Leijon; Johanna Arola
Journal:  APMIS       Date:  2021-11-22       Impact factor: 3.428

9.  Histological scores and tumor size on stage II in adrenocortical carcinomas.

Authors:  Rui Caetano Oliveira; Maria João Martins; Carolina Moreno; Rui Almeida; João Carvalho; Paulo Teixeira; Miguel Teixeira; Edgar Tavares Silva; Isabel Paiva; Arnaldo Figueiredo; Maria Augusta Cipriano
Journal:  Rare Tumors       Date:  2021-06-27

Review 10.  Adrenocortical carcinoma: current state of the art, ongoing controversies, and future directions in diagnosis and treatment.

Authors:  Omair A Shariq; Travis J McKenzie
Journal:  Ther Adv Chronic Dis       Date:  2021-07-20       Impact factor: 5.091

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