Adrenocortical oncocytoma

Selivanova, L S; Абдулхабирова, Ф. М.; Voronkova, I A; Кузнецов, Н. С.; Трошина, Е. А.; Райхман, А. О.; Бирг, Т. М.; Тертычный, А. С.

doi:10.17116/patol201577155-

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Moreover, the use of the Weiss score for oncocytic tumors is not recommended, since oncocytic neoplasms consist of cells with eosinophilic cytoplasm, high nuclear grade, and diffuse architecture, which will inevitably lead to an erroneous diagnosis of ACC, which in turn contradicts their more frequent benign biological behavior ( 14 ). Therefore, the Lin–Weiss–Bisceglia system was developed to assess the malignancy of oncocytic variants of adrenal cortical tumors ( 15 ).…”

Section: Discussionmentioning

confidence: 99%

The new histological system for the diagnosis of adrenocortical cancer

et al. 2023

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IntroductionAdrenocortical cancer (ACC) is a rare malignant tumor that originates in the adrenal cortex. Despite extensive molecular-genetic, pathomorphological, and clinical research, assessing the malignant potential of adrenal neoplasms in clinical practice remains a daunting task in histological diagnosis. Although the Weiss score is the most prevalent method for diagnosing ACC, its limitations necessitate additional algorithms for specific histological variants. Unequal diagnostic value, subjectivity in evaluation, and interpretation challenges contribute to a gray zone where the reliable assessment of a tumor’s malignant potential is unattainable. In this study, we introduce a universal mathematical model for the differential diagnosis of all morphological types of ACC in adults.MethodsThis model was developed by analyzing a retrospective sample of data from 143 patients who underwent histological and immunohistochemical examinations of surgically removed adrenal neoplasms. Statistical analysis was carried out on Python 3.1 in the Google Colab environment. The cutting point was chosen according to Youden’s index. Scikit-learn 1.0.2 was used for building the multidimensional model for Python. Logistical regression analysis was executed with L1-regularization, which is an effective method for extracting the most significant features of the model.ResultsThe new system we have developed is a diagnostically meaningful set of indicators that takes into account a smaller number of criteria from the currently used Weiss scale. To validate the obtained model, we divided the initial sample set into training and test sets in a 9:1 ratio, respectively. The diagnostic algorithm is highly accurate [overall accuracy 100% (95% CI: 96%-100%)].DiscussionOur method involves determining eight diagnostically significant indicators that enable the calculation of ACC development probability using specified formulas. This approach may potentially enhance diagnostic precision and facilitate improved clinical outcomes in ACC management.

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Section: Discussionmentioning

confidence: 99%

The new histological system for the diagnosis of adrenocortical cancer

et al. 2023

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“…An oncocytic variant consists of about 18% of all ACC cases and is characterized by a specific cytological peculiarity of cancer cells (presence of granular eosinophilic cytoplasm, diffuse growth pattern, and high-grade nuclei) [ 22 ]. Oncocytes are up to two times larger than acinar cells.…”

Section: Introductionmentioning

confidence: 99%

Interplay between Immune Cell Infiltration and Tumor Histological Subtype: A Case of Adrenocortical Cancer

Bogolyubova

Pachuashvili

Tkachuk

et al. 2022

Cancers

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The analysis of the tumor microenvironment, especially tumor-infiltrated immune cells, is essential for predicting tumor prognosis, clinical outcomes, and therapy strategies. Adrenocortical cancer is a rare nonimmunogenic malignancy in which the importance of the presence of immune cells is not well understood. In our study, we made the first attempt to understand the interplay between the histology of adrenocortical cancer and its immune landscape using cases from The Cancer Genome Atlas database and the Endocrinology Research Centre collection (Moscow, Russia). We showed that the oncocytic variant of adrenocortical cancer is characterized by intensive immune infiltration and better survival, and it is crucial to analyze the effect of immune infiltration independently for each histological variant.

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