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Kanzawa M, Kanda T, Fukuoka H, Shigemura K, Nakamura Y, Itoh T. Two Cases of Adrenal Cysts Lined by Thyroid Follicular Epithelium: Addressing Cellular Origin and Malignancy Concerns. JCEM CASE REPORTS 2024; 2:luae058. [PMID: 38623530 PMCID: PMC11017108 DOI: 10.1210/jcemcr/luae058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Indexed: 04/17/2024]
Abstract
Adrenal cysts lined by thyroid follicular epithelium are rare, with only 14 reported cases of "ectopic thyroid tissue" to date. While the primary consideration for differential diagnosis is thyroid carcinoma metastasis, exclusion of metastases is determined based on the absence of a primary thyroid lesion, serological euthyroidism, lack of thyroglobulin elevation, and absence of epithelial atypia. Herein, we report 2 cases of adrenal cysts lined by thyroid follicular epithelium. Case 1 was a 60-year-old woman with a right adrenal cyst. Case 2 was a 51-year-old man with a left adrenal cyst. Over time, both cysts became larger, necessitating an adrenalectomy. Cystic epithelia were lined with thyroid follicular epithelium, exhibiting moderate atypia. Human bone marrow endothelial cell marker-1 and galectin-3 were focally positive; CK19 was positive in Case 1, and all 3 markers were positive in Case 2, previously reported as an immunophenotype of thyroid carcinoma. CD56 expression was positive in both cases. Targeted next-generation sequencing revealed several low-frequency mutations; however, no major driver alterations for thyroid cancer were detected. Adrenal cysts can be lined by thyroid follicular epithelium. Challenges arise in determining the malignant or benign nature of adrenal cysts.
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Affiliation(s)
- Maki Kanzawa
- Department of Diagnostic Pathology, Kobe University Hospital, Kobe, 650-0017, Japan
| | - Tomonori Kanda
- Department of Radiology, Kobe University Hospital, Kobe, 650-0017, Japan
| | - Hidenori Fukuoka
- Division of Diabetes and Endocrinology, Kobe University Hospital, Kobe, 650-0017, Japan
| | - Katsumi Shigemura
- Division of Urology, Department of Surgery Related, Kobe University Graduate School of Medicine, Kobe, 650-0017, Japan
| | - Yasuhiro Nakamura
- Division of Pathology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, 650-0017, Japan
| | - Tomoo Itoh
- Department of Diagnostic Pathology, Kobe University Hospital, Kobe, 650-0017, Japan
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Piga I, L'Imperio V, Capitoli G, Denti V, Smith A, Magni F, Pagni F. Paving the path toward multi-omics approaches in the diagnostic challenges faced in thyroid pathology. Expert Rev Proteomics 2023; 20:419-437. [PMID: 38000782 DOI: 10.1080/14789450.2023.2288222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/22/2023] [Indexed: 11/26/2023]
Abstract
INTRODUCTION Despite advancements in diagnostic methods, the classification of indeterminate thyroid nodules still poses diagnostic challenges not only in pre-surgical evaluation but even after histological evaluation of surgical specimens. Proteomics, aided by mass spectrometry and integrated with artificial intelligence and machine learning algorithms, shows great promise in identifying diagnostic markers for thyroid lesions. AREAS COVERED This review provides in-depth exploration of how proteomics has contributed to the understanding of thyroid pathology. It discusses the technical advancements related to immunohistochemistry, genetic and proteomic techniques, such as mass spectrometry, which have greatly improved sensitivity and spatial resolution up to single-cell level. These improvements allowed the identification of specific protein signatures associated with different types of thyroid lesions. EXPERT COMMENTARY Among all the proteomics approaches, spatial proteomics stands out due to its unique ability to capture the spatial context of proteins in both cytological and tissue thyroid samples. The integration of multi-layers of molecular information combining spatial proteomics, genomics, immunohistochemistry or metabolomics and the implementation of artificial intelligence and machine learning approaches, represent hugely promising steps forward toward the possibility to uncover intricate relationships and interactions among various molecular components, providing a complete picture of the biological landscape whilst fostering thyroid nodule diagnosis.
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Affiliation(s)
- Isabella Piga
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Vincenzo L'Imperio
- Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, University of Milan-Bicocca, Monza, Italy
| | - Giulia Capitoli
- Department of Medicine and Surgery, Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, University of Milan - Bicocca (UNIMIB), Monza, Italy
| | - Vanna Denti
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Andrew Smith
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Fulvio Magni
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, University of Milan-Bicocca, Monza, Italy
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Alzumaili B, Sadow PM. Update on Molecular Diagnostics in Thyroid Pathology: A Review. Genes (Basel) 2023; 14:1314. [PMID: 37510219 PMCID: PMC10379610 DOI: 10.3390/genes14071314] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/13/2023] [Accepted: 06/19/2023] [Indexed: 07/30/2023] Open
Abstract
Thyroid nodules are quite common, and the determination of a nodule of concern is complex, involving serum testing, radiology and, in some cases, pathological evaluation. For those nodules that raise clinical concern of neoplasia, fine needle aspiration biopsy is the gold standard for evaluation; however, in up to 30% of cases, results are indeterminate for malignancy, and further testing is needed. Advances in molecular testing have shown it to be of benefit for both diagnostic and prognostic purposes, and its use has become an integral part of thyroid cancer management in the United States and in several global nations. After The Cancer Genome Atlas (TCGA) consortium published its molecular landscape of papillary thyroid carcinoma (PTC) and reduced the "black matter" in PTC from 25% to 3.5%, further work ensued to clarify the remaining fraction not neatly attributed to the BRAFV600E-like or RAS-like phenotypes of the TCGA. Over the past decade, commercial molecular platforms have been refined as data accrues, and they increasingly cover most genetic variants of thyroid carcinomas. Molecular reporting focuses on the nodule tested, including related clinical information for that nodule (size of nodule, Bethesda category, etc.). This results in a comprehensive report to physicians that may also include patient-directed, clear language that facilitates conversations about nodule management. In cases of advanced or recurrent disease, molecular testing may become essential for devising an individual therapeutic plan. In this review, we focus on the evolution of integrated molecular testing in thyroid nodules, and how our understanding of tumor genetics, combined with histopathology, is driving the next generation of rational patient management, particularly in the context of emerging small, targetable therapeutics.
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Affiliation(s)
- Bayan Alzumaili
- Departments of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Peter M Sadow
- Departments of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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Mohan U, Sunny SP, Mendonca P, Kuriakose MA, Kannan S, Suresh A. Systematic Review and Meta-Analysis to Identify the Immunocytochemical Markers Effective in Delineating Benign from Malignant Thyroid Lesions in FNAC Samples. Endocr Pathol 2022; 33:243-256. [PMID: 35596875 DOI: 10.1007/s12022-022-09721-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 11/03/2022]
Abstract
Conventional cytology-based diagnosis for thyroid cancer is limited with more than 30-45% of nodules categorized as indeterminate, necessitating surgery for confirming or refuting the diagnosis. This systematic review and meta-analysis were aimed at identifying immunocytochemical markers effective in delineating benign from malignant thyroid lesions in fine needle aspiration cytology (FNAC) samples, thereby improving the accuracy of cytology diagnosis. A systematic review of relevant articles (2000-2021) from online databases was carried out and the search protocol registered in PROSPERO database (CRD42021229121). The quality of studies was assessed using QUADAS-2. Review Manager 5.4.1 from Cochrane collaboration and MetaDisc Version 1.4 was used to conduct the meta-analysis. Bias in the studies were visually analyzed using funnel plots, and statistical significance was evaluated by Egger's test. Systematic review identified 64 original articles, while meta-analysis in eligible articles (n = 41) identified a panel of 5 markers, Galectin-3, HBME-1, CK-19, CD-56, and TPO. Assessment of the diagnostic performance revealed that Gal-3 (sensitivity: 0.81; CI: 0.79-0.83; specificity: 0.84; CI: 0.82-0.85) and HBME-1 (sensitivity: 0.83; Cl: 0.81-0.86; specificity: 0.85; CI: 0.83-0.86) showed high accuracy in delineating benign from malignant thyroid nodules. Efficacy analysis in indeterminate nodules showed Gal-3 and HBME-1 have high specificity of 0.86 (CI 0.84-0.89) and 0.82 (CI 0.78-0.86), respectively, and low sensitivity of 0.76 (CI 0.72-0.80) and 0.75 (CI 0.70-0.80), respectively. Diagnostic odds ratio (DOR) of Galectin-3 and HBME-1 were 39.18 (CI 23.38-65.65) and 24.44 (CI 11.16-53.54), respectively. Significant publication bias was observed for the markers Galectin-3 and CK-19 (p < 0.05). The panel of 5 markers identified from this meta-analysis are high-confidence candidates that need to be validated in thyroid cytology to establish their efficacy and enable clinical applicability.
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Affiliation(s)
- Uma Mohan
- Department of Head and Neck Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India
- Integrated Head and Neck Oncology Program, DSRG-5, Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Bangalore, India
| | - Sumsum P Sunny
- Department of Head and Neck Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India
- Integrated Head and Neck Oncology Program, DSRG-5, Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Bangalore, India
| | - Pramila Mendonca
- Department of Head and Neck Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India
- Integrated Head and Neck Oncology Program, DSRG-5, Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Bangalore, India
| | - Moni A Kuriakose
- Department of Head and Neck Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India
- Integrated Head and Neck Oncology Program, DSRG-5, Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Bangalore, India
| | - Subramanian Kannan
- Department of Endocrinology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India
| | - Amritha Suresh
- Integrated Head and Neck Oncology Program, DSRG-5, Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Bangalore, India.
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Cazzaniga G, Seminati D, Smith A, Piga I, Capitoli G, Garancini M, L'Imperio V, Fusco N, Pagni F. Lights on HBME-1: the elusive biomarker in thyroid cancer pathology. J Clin Pathol 2022; 75:588-592. [PMID: 35444029 DOI: 10.1136/jclinpath-2022-208248] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 03/31/2022] [Indexed: 11/03/2022]
Abstract
Among the different ancillary immunohistochemical tools that pathologists may employ in thyroid nodules, the so-called Hector Battifora's 'MEsothelioma' 1 (HBME-1) staining is one of the most fascinating, since its real identity is currently unknown. In the present review, the different clinical applications of HBME-1 are analysed, with main emphasis on its role in thyroid pathology with overview on less impactful fields, such as haematopathology or mesothelial lesions. Different acceptable or good diagnostic performances were recorded for HBME-1 in thyroid pathology, being used in routine practice as one of the best tools to screen thyroid malignancy both in terms of sensitivity and specificity. From a speculative point of view, after many attempts to hunt the cryptic target antigen of this antibody, its identity still remains elusive. In this setting, the application of high-throughput technologies (mainly in situ proteomics) may be the exact route to improve the knowledge about the pathophysiology of HBME-1 and to finally unveil its true identity.
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Affiliation(s)
- Giorgio Cazzaniga
- Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, Monza, Italy
| | - Davide Seminati
- Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, Monza, Italy
| | - Andrew Smith
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Isabella Piga
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Giulia Capitoli
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Mattia Garancini
- Department of Surgery, ASST Monza - San Gerardo Hospital, Monza, Italy
| | - Vincenzo L'Imperio
- Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, Monza, Italy
| | - Nicola Fusco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milano, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, Monza, Italy
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