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Ruz-Caracuel I, Caniego-Casas T, Alonso-Gordoa T, Carretero-Barrio I, Ariño-Palao C, Santón A, Rosas M, Pian H, Molina-Cerrillo J, Luengo P, Palacios J. Transcriptomic Differences in Medullary Thyroid Carcinoma According to Grade. Endocr Pathol 2024; 35:207-218. [PMID: 38958823 PMCID: PMC11387449 DOI: 10.1007/s12022-024-09817-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
Medullary thyroid carcinoma (MTC) is a rare cancer derived from neuroendocrine C-cells of the thyroid. In contrast to other neuroendocrine tumors, a histological grading system was lacking until recently. A novel two-tier grading system based on the presence of high proliferation or necrosis is associated with prognosis. Transcriptomic analysis was conducted on 21 MTCs, including 9 high-grade tumors, with known mutational status, using the NanoString Tumor Signaling 360 Panel. This analysis, covering 760 genes, revealed upregulation of the genes EGLN3, EXO1, UBE2T, UBE2C, FOXM1, CENPA, DLL3, CCNA2, SOX2, KIF23, and CDCA5 in high-grade MTCs. Major pathways differentially expressed between high-grade and low-grade MTCs were DNA damage repair, p53 signaling, cell cycle, apoptosis, and Myc signaling. Validation through qRT-PCR in 30 MTCs demonstrated upregulation of ASCL1, DLL3, and SOX2 in high-grade MTCs, a gene signature akin to small-cell lung carcinoma, molecular subgroup A. Subsequently, DLL3 expression was validated by immunohistochemistry. MTCs with DLL3 overexpression (defined as ≥ 50% of positive tumor cells) were associated with significantly lower disease-free survival (p = 0.041) and overall survival (p = 0.01). Moreover, MTCs with desmoplasia had a significantly increased expression of DLL3. Our data supports the idea that DLL3 should be further explored as a predictor of aggressive disease and poor outcomes in MTC.
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Affiliation(s)
- Ignacio Ruz-Caracuel
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain.
- CIBER-Cáncer (CIBERONC), Madrid, Spain.
| | - Tamara Caniego-Casas
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBER-Cáncer (CIBERONC), Madrid, Spain
| | - Teresa Alonso-Gordoa
- Medical Oncology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
| | - Irene Carretero-Barrio
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBER-Cáncer (CIBERONC), Madrid, Spain
- Medicine School, Alcalá University, 28805, Madrid, Spain
| | - Carmen Ariño-Palao
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- Medicine School, Alcalá University, 28805, Madrid, Spain
| | - Almudena Santón
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBER-Cáncer (CIBERONC), Madrid, Spain
| | - Marta Rosas
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
| | - Héctor Pian
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
| | - Javier Molina-Cerrillo
- Medical Oncology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
| | - Patricia Luengo
- General Surgery Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
| | - José Palacios
- Pathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, 28034, Madrid, Spain
- CIBER-Cáncer (CIBERONC), Madrid, Spain
- Medicine School, Alcalá University, 28805, Madrid, Spain
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2
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Juhlin CC. The road ahead: a brief guide to navigating the 2022 WHO classification of endocrine and neuroendocrine tumours. J Clin Pathol 2024:jcp-2023-209060. [PMID: 38981664 DOI: 10.1136/jcp-2023-209060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 06/20/2024] [Indexed: 07/11/2024]
Abstract
The most recent WHO classification of endocrine and neuroendocrine tumours has brought about significant changes in the diagnosis and grading of these lesions. For instance, pathologists now have the ability to stratify subsets of thyroid and adrenal neoplasms using various histological features and composite risk assessment models. Moreover, novel recommendations on how to approach endocrine neoplasia involve additional immunohistochemical analyses, and the recognition and implementation of these key markers is essential for modernising diagnostic capabilities. Additionally, an improved understanding of tumour origin has led to the renaming of several entities, resulting in the emergence of terminology not yet universally recognised. The adjustments in nomenclature and prognostication may pose a challenge for the clinical team, and care providers might be eager to engage in a dialogue with the diagnosing pathologist, as treatment guidelines have not fully caught up with these recent changes. Therefore, it is crucial for a surgical pathologist to be aware of the knowledge behind the implementation of changes in the WHO classification scheme. This review article will delve into the most significant diagnostic and prognostic changes related to lesions in the parathyroid, thyroid, adrenal glands and the gastroenteropancreatic neuroendocrine system. Additionally, the author will briefly share his personal reflections on the clinical implementation, drawing from a couple of years of experience with these new algorithms.
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Affiliation(s)
- Carl Christofer Juhlin
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
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3
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Aksoy YA, Xu B, Viswanathan K, Ahadi MS, Al Ghuzlan A, Alzumaili B, Bani MA, Barletta JA, Chau N, Chou A, Clarkson A, Clifton-Bligh RJ, De Leo A, Dogan S, Ganly I, Ghossein R, Gild ML, Glover AR, Hadoux J, Lamartina L, Lubin DJ, Magliocca K, Najdawi F, Nigam A, Papachristos A, Repaci A, Robinson BG, Sheen A, Shi Q, Sidhu SB, Sioson L, Solaroli E, Sywak MS, Tallini G, Tsang V, Turchini J, Untch BR, Gill AJ, Fuchs TL. Novel prognostic nomogram for predicting recurrence-free survival in medullary thyroid carcinoma. Histopathology 2024; 84:947-959. [PMID: 38253940 DOI: 10.1111/his.15141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/18/2023] [Accepted: 01/02/2024] [Indexed: 01/24/2024]
Abstract
AIMS Recently, there have been attempts to improve prognostication and therefore better guide treatment for patients with medullary thyroid carcinoma (MTC). In 2022, the International MTC Grading System (IMTCGS) was developed and validated using a multi-institutional cohort of 327 patients. The aim of the current study was to build upon the findings of the IMTCGS to develop and validate a prognostic nomogram to predict recurrence-free survival (RFS) in MTC. METHODS AND RESULTS Data from 300 patients with MTC from five centres across the USA, Europe, and Australia were used to develop a prognostic nomogram that included the following variables: age, sex, AJCC stage, tumour size, mitotic count, necrosis, Ki67 index, lymphovascular invasion, microscopic extrathyroidal extension, and margin status. A process of 10-fold cross-validation was used to optimize the model's performance. To assess discrimination and calibration, the area-under-the-curve (AUC) of a receiver operating characteristic (ROC) curve, concordance-index (C-index), and dissimilarity index (D-index) were calculated. Finally, the model was externally validated using a separate cohort of 87 MTC patients. The model demonstrated very strong performance, with an AUC of 0.94, a C-index of 0.876, and a D-index of 19.06. When applied to the external validation cohort, the model had an AUC of 0.9. CONCLUSIONS Using well-established clinicopathological prognostic variables, we developed and externally validated a robust multivariate prediction model for RFS in patients with resected MTC. The model demonstrates excellent predictive capability and may help guide decisions on patient management. The nomogram is freely available online at https://nomograms.shinyapps.io/MTC_ML_DFS/.
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Affiliation(s)
- Yagiz A Aksoy
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Bin Xu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kartik Viswanathan
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Mahsa S Ahadi
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Abir Al Ghuzlan
- Medical Pathology and Biology Department, Gustave Roussy Campus Cancer, Villejuif, France
| | - Bayan Alzumaili
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Mohamed-Amine Bani
- Medical Pathology and Biology Department, Gustave Roussy Campus Cancer, Villejuif, France
| | - Justine A Barletta
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicole Chau
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Angela Chou
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Adele Clarkson
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Roderick J Clifton-Bligh
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- University of Sydney Endocrine Surgery Unit, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Antonio De Leo
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna Medical Center, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Snjezana Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ian Ganly
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ronald Ghossein
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matti L Gild
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- Department of Endocrinology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Anthony R Glover
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- University of Sydney Endocrine Surgery Unit, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Julien Hadoux
- Endocrine Oncology, Gustave Roussy Campus Cancer, Villejuif, France
| | - Livia Lamartina
- Endocrine Oncology, Gustave Roussy Campus Cancer, Villejuif, France
| | - Daniel J Lubin
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Kelly Magliocca
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Fedaa Najdawi
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Aradhya Nigam
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alex Papachristos
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- University of Sydney Endocrine Surgery Unit, Royal North Shore Hospital, St Leonards, NSW, Australia
- Department of Endocrinology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Andrea Repaci
- Division of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Bruce G Robinson
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- University of Sydney Endocrine Surgery Unit, Royal North Shore Hospital, St Leonards, NSW, Australia
- Department of Endocrinology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Amy Sheen
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Qiuying Shi
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Stan B Sidhu
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- University of Sydney Endocrine Surgery Unit, Royal North Shore Hospital, St Leonards, NSW, Australia
- Department of Endocrinology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Loretta Sioson
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Erica Solaroli
- Endocrinology Unit, Azienda USL di Bologna, Bologna, Italy
| | - Mark S Sywak
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- University of Sydney Endocrine Surgery Unit, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Giovanni Tallini
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna Medical Center, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Venessa Tsang
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- Department of Endocrinology, Royal North Shore Hospital, St Leonards, NSW, Australia
| | - John Turchini
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- Douglass Hanly Moir Pathology, Macquarie Park, New South Wales, Australia
| | - Brian R Untch
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony J Gill
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Talia L Fuchs
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- Douglass Hanly Moir Pathology, Macquarie Park, New South Wales, Australia
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Rai V, Saha A, Mehta S, Shah RA, Trivedi P, Samanta ST, Rathod P, Manimaran P. International medullary thyroid carcinoma grading system: an Indian tertiary care centre experience. Eur Arch Otorhinolaryngol 2024; 281:1571-1579. [PMID: 38010402 DOI: 10.1007/s00405-023-08341-x] [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: 08/14/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023]
Abstract
INTRODUCTION Medullary carcinoma (MTC) is a rare neuroendocrine thyroid neoplasm. The international medullary thyroid carcinoma grading scheme (IMTCGS), which has prognostic significance, has been introduced recently. The present study graded MTC cases using the IMTCGS and evaluated it in our study cohort. METHODS All MTC thyroidectomy cases over 6 years were evaluated. Low-grade (LG) and high-grade (HG) were compared. Survival analysis included overall survival (OS), loco-regional free survival and distant metastasis free survival (DMFS). RESULTS Of 32 cases, 31.25% were HG and 68.75% LG. The mean age was 44.0 years and M:F ratio 1:1.146. HG patients were older and had tumour cells with high-grade nuclear features and prominent nucleoli and showed distant metastasis. Necrosis was found more in patients with high grade nuclear features. There was discordance between the high Ki67 (60%) and increased mitotic activity (20%). Univariate survival analysis revealed poor DMFRS and OS in the cohorts with high grade, Ki67 > 5% and coagulative necrosis. The multivariate cox regression analysis showed IMTCGS significantly associated with overall survival (HR 28.30, p = 0.009) and DMFS (HR 15.70, p = 0.02). DISCUSSION AND CONCLUSION This is the first Indian study evaluating IMTCGS, a very simple and convenient grading system that can be readily used in any tertiary health care centre. IHC for Ki 67 should mandatorily be done irrespective of the low mitotic activity on the HPE and necrosis should be diligently searched in cases with high-grade nuclear morphology. HG MTC cohorts were associated with poor OS as well as DMFRS.
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Affiliation(s)
- Varnika Rai
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India
| | - Anurag Saha
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India
| | - Shailee Mehta
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India.
| | - Rujuta Ankit Shah
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India
| | - Priti Trivedi
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India
| | - Satarupa T Samanta
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India
| | - Priyank Rathod
- Department of Surgical Oncology, Gujarat Cancer Research Institute, Ahmedabad, India
| | - Poornima Manimaran
- Onco-Pathology Department, Gujarat Cancer and Research Institute, Ahmedabad, India
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Nadeem S, Hanna MG, Viswanathan K, Marino J, Ahadi M, Alzumaili B, Bani MA, Chiarucci F, Chou A, De Leo A, Fuchs TL, Lubin DJ, Luxford C, Magliocca K, Martinez G, Shi Q, Sidhu S, Ghuzlan AA, Gill AJ, Tallini G, Ghossein R, Xu B. Ki67 proliferation index in medullary thyroid carcinoma: a comparative study of multiple counting methods and validation of image analysis and deep learning platforms. Histopathology 2023; 83:981-988. [PMID: 37706239 PMCID: PMC10840805 DOI: 10.1111/his.15048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/15/2023]
Abstract
AIMS The International Medullary Thyroid Carcinoma Grading System, introduced in 2022, mandates evaluation of the Ki67 proliferation index to assign a histological grade for medullary thyroid carcinoma. However, manual counting remains a tedious and time-consuming task. METHODS AND RESULTS We aimed to evaluate the performance of three other counting techniques for the Ki67 index, eyeballing by a trained experienced investigator, a machine learning-based deep learning algorithm (DeepLIIF) and an image analysis software with internal thresholding compared to the gold standard manual counting in a large cohort of 260 primarily resected medullary thyroid carcinoma. The Ki67 proliferation index generated by all three methods correlate near-perfectly with the manual Ki67 index, with kappa values ranging from 0.884 to 0.979 and interclass correlation coefficients ranging from 0.969 to 0.983. Discrepant Ki67 results were only observed in cases with borderline manual Ki67 readings, ranging from 3 to 7%. Medullary thyroid carcinomas with a high Ki67 index (≥ 5%) determined using any of the four methods were associated with significantly decreased disease-specific survival and distant metastasis-free survival. CONCLUSIONS We herein validate a machine learning-based deep-learning platform and an image analysis software with internal thresholding to generate accurate automatic Ki67 proliferation indices in medullary thyroid carcinoma. Manual Ki67 count remains useful when facing a tumour with a borderline Ki67 proliferation index of 3-7%. In daily practice, validation of alternative evaluation methods for the Ki67 index in MTC is required prior to implementation.
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Affiliation(s)
- Saad Nadeem
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew G. Hanna
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kartik Viswanathan
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Joseph Marino
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mahsa Ahadi
- Royal North Shore Hospital and Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonard, Australia
| | - Bayan Alzumaili
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mohamed-Amine Bani
- Medical Pathology and Biology Department, Gustave Roussy Campus Cancer, Villejuif, France
| | - Federico Chiarucci
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna Medical Center; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Angela Chou
- Royal North Shore Hospital and Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonard, Australia
| | - Antonio De Leo
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna Medical Center; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Talia L. Fuchs
- Royal North Shore Hospital and Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonard, Australia
| | - Daniel J Lubin
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Catherine Luxford
- Royal North Shore Hospital and Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonard, Australia
| | - Kelly Magliocca
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Germán Martinez
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qiuying Shi
- Department of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA
| | - Stan Sidhu
- Royal North Shore Hospital and Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonard, Australia
| | - Abir Al Ghuzlan
- Medical Pathology and Biology Department, Gustave Roussy Campus Cancer, Villejuif, France
| | - Anthony J. Gill
- Royal North Shore Hospital and Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonard, Australia
| | - Giovanni Tallini
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna Medical Center; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Ronald Ghossein
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bin Xu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Torricelli F, Santandrea G, Botti C, Ragazzi M, Vezzani S, Frasoldati A, Ghidini A, Giordano D, Zanetti E, Rossi T, Nicoli D, Ciarrocchi A, Piana S. Medullary Thyroid Carcinomas Classified According to the International Medullary Carcinoma Grading System and a Surveillance, Epidemiology, and End Results-Based Metastatic Risk Score: A Correlation With Genetic Profile and Angioinvasion. Mod Pathol 2023; 36:100244. [PMID: 37307881 DOI: 10.1016/j.modpat.2023.100244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/17/2023] [Accepted: 06/05/2023] [Indexed: 06/14/2023]
Abstract
Due to the lack of a standardized tool for risk-based stratification, the International Medullary Carcinoma Grading System (IMTCGS) has been proposed for medullary thyroid carcinomas (MTCs) based on necrosis, mitosis, and Ki67. Similarly, a risk stratification study using the Surveillance, Epidemiology, and End Results (SEER) database highlighted significant differences in MTCs in terms of clinical-pathological variables. We aimed to validate both the IMTCGS and SEER-based risk table on 66 MTC cases, with special attention to angioinvasion and the genetic profile. We found a significant association between the IMTCGS and survival because patients classified as high-grade had a lower event-free survival probability. Angioinvasion was also found to be significantly correlated with metastasis and death. Applying the SEER-based risk table, patients classified either as intermediate- or high-risk had a lower survival rate than low-risk patients. In addition, high-grade IMTCGS cases had a higher average SEER-based risk score than low-grade cases. Moreover, when we explored angioinvasion in correlation with the SEER-based risk table, patients with angioinvasion had a higher average SEER-based score than patients without angioinvasion. Deep sequencing analysis found that 10 out of 20 genes frequently mutated in MTCs belonged to a specific functional class, namely chromatin organization, and function, which may be responsible for the MTC heterogeneity. In addition, the genetic signature identified 3 main clusters; cases belonging to cluster II displayed a significantly higher number of mutations and higher tumor mutational burden, suggesting increased genetic instability, but cluster I was associated with the highest number of negative events. In conclusion, we confirmed the prognostic performance of the IMTCGS and SEER-based risk score, showing that patients classified as high-grade had a lower event-free survival probability. We also underline that angioinvasion has a significant prognostic role, which has not been incorporated in previous risk scores.
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Affiliation(s)
- Federica Torricelli
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giacomo Santandrea
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Cecilia Botti
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Moira Ragazzi
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy; Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Silvia Vezzani
- Endocrinology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Andrea Frasoldati
- Endocrinology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Angelo Ghidini
- Otolaryngology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Davide Giordano
- Otolaryngology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Eleonora Zanetti
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Teresa Rossi
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Davide Nicoli
- Laboratory of Molecular Pathology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Alessia Ciarrocchi
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
| | - Simonetta Piana
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
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Lubin DJ, Behrman DB, Goyal S, Magliocca K, Shi Q, Chen AY, Viswanathan K. Independent Validation of the International Grading System for Medullary Thyroid Carcinoma: A Single Institution Experience. Mod Pathol 2023; 36:100235. [PMID: 37270155 PMCID: PMC10528047 DOI: 10.1016/j.modpat.2023.100235] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/05/2023]
Abstract
Medullary thyroid carcinoma (MTC), an uncommon C cell thyroid malignancy, accounts for a disproportionate number of thyroid cancer deaths. To predict MTC clinical behavior, the recent international MTC grading system (IMTCGS) was published combining features from the Memorial Sloan Kettering Cancer Center and Royal North Shore Hospital grading systems that incorporates mitotic count, necrosis, and Ki67 proliferative index (Ki67PI). The IMTCGS appears promising, but independent validation data are limited. Here, we applied the IMTCGS to our institutional MTC cohort and assessed its ability to predict clinical outcomes. Our cohort comprised 87 MTCs (30 germline and 57 sporadic). Slides for each case were reviewed by 2 pathologists and histologic features recorded. Ki67 immunostaining was performed on all cases. Each MTC was graded with the IMTCGS based on tumor necrosis, Ki67PI, and mitotic count. Cox regression analysis was performed to assess the impact of various clinical and pathological data on disease outcomes, including overall survival (OS), disease-free survival, disease-specific survival (DSS), and distant metastasis-free survival. In our MTC cohort, 18.4% (n = 16/87) were IMTCGS high grade. IMTCGS grade was strongly prognostic for OS, disease-free survival, DSS, and distant metastasis-free survival on univariate analysis and multivariable analysis in both the entire MTC cohort and in the sporadic subset. Among the individual IMTCGS parameters, while all 3 were associated with poorer survival outcomes on univariate analysis, necrosis had the strongest association with all survival parameters on multivariable analysis, whereas Ki67PI or mitotic count was associated only with OS and DSS. This retrospective study independently demonstrates that the IMTCGS is valid for grading MTCs. Our findings support incorporating IMTCGS into routine pathology practice. IMTCGS grading may help clinicians to better predict the prognosis of MTC. Future studies may shed light on how MTC grading should impact treatment protocols.
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Affiliation(s)
- Daniel J Lubin
- Department of Pathology, Emory University Hospital Midtown, Atlanta, Georgia; Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia
| | - David Blake Behrman
- Department of Pathology, Emory University Hospital Midtown, Atlanta, Georgia
| | - Subir Goyal
- Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia; Biostatistics Shared Resource, Winship Cancer Institute of Emory University, Decatur, Georgia
| | - Kelly Magliocca
- Department of Pathology, Emory University Hospital Midtown, Atlanta, Georgia; Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia
| | - Qiuying Shi
- Department of Pathology, Emory University Hospital Midtown, Atlanta, Georgia; Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia
| | - Amy Y Chen
- Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia; Division of Endocrine Surgery, Department of Otolaryngology, Emory University Hospital Midtown, Atlanta, Georgia
| | - Kartik Viswanathan
- Department of Pathology, Emory University Hospital Midtown, Atlanta, Georgia; Winship Cancer Institute, Emory University Hospital, Atlanta, Georgia.
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La Rosa S. Diagnostic, Prognostic, and Predictive Role of Ki67 Proliferative Index in Neuroendocrine and Endocrine Neoplasms: Past, Present, and Future. Endocr Pathol 2023; 34:79-97. [PMID: 36797453 PMCID: PMC10011307 DOI: 10.1007/s12022-023-09755-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
The introduction of Ki67 immunohistochemistry in the work-up of neuroendocrine neoplasms (NENs) has opened a new approach for their diagnosis and prognostic evaluation. Since the first demonstration of the prognostic role of Ki67 proliferative index in pancreatic NENs in 1996, several studies have been performed to explore its prognostic, diagnostic, and predictive role in other neuroendocrine and endocrine neoplasms. A large amount of information is now available and published results globally indicate that Ki67 proliferative index is useful to this scope, although some differences exist in relation to tumor site and type. In gut and pancreatic NENs, the Ki67 proliferative index has a well-documented and accepted diagnostic and prognostic role and its evaluation is mandatory in their diagnostic work-up. In the lung, the Ki67 index is recommended for the diagnosis of NENs on biopsy specimens, but its diagnostic role in surgical specimens still remains to be officially accepted, although its prognostic role is now well documented. In other organs, such as the pituitary, parathyroid, thyroid (follicular cell-derived neoplasms), and adrenal medulla, the Ki67 index does not play a diagnostic role and its prognostic value still remains a controversial issue. In medullary thyroid carcinoma, the Ki67 labelling index is used to define the tumor grade together with other morphological parameters, while in the adrenal cortical carcinoma, it is useful to select patients to treated with mitotane therapy. In the present review, the most important information on the diagnostic, prognostic, and predictive role of Ki67 proliferative index is presented discussing the current knowledge. In addition, technical issues related to the evaluation of Ki67 proliferative index and the future perspectives of the application of Ki67 immunostaining in endocrine and neuroendocrine neoplasms is discussed.
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Affiliation(s)
- Stefano La Rosa
- Unit of Pathology, Department of Medicine and Surgery, University of Insubria, Via O. Rossi 9, Varese, 21100, Italy.
- Unit of Pathology, Department of Oncology, ASST Sette Laghi, Varese, Italy.
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Jung CK, Agarwal S, Hang JF, Lim DJ, Bychkov A, Mete O. Update on C-Cell Neuroendocrine Neoplasm: Prognostic and Predictive Histopathologic and Molecular Features of Medullary Thyroid Carcinoma. Endocr Pathol 2023; 34:1-22. [PMID: 36890425 DOI: 10.1007/s12022-023-09753-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/24/2023] [Indexed: 03/10/2023]
Abstract
Medullary thyroid carcinoma (MTC) is a C-cell-derived epithelial neuroendocrine neoplasm. With the exception of rare examples, most are well-differentiated epithelial neuroendocrine neoplasms (also known as neuroendocrine tumors in the taxonomy of the International Agency for Research on Cancer [IARC] of the World Health Organization [WHO]). This review provides an overview and recent evidence-based data on the molecular genetics, disease risk stratification based on clinicopathologic variables including molecular profiling and histopathologic variables, and targeted molecular therapies in patients with advanced MTC. While MTC is not the only neuroendocrine neoplasm in the thyroid gland, other neuroendocrine neoplasms in the thyroid include intrathyroidal thymic neuroendocrine neoplasms, intrathyroidal parathyroid neoplasms, and primary thyroid paragangliomas as well as metastatic neuroendocrine neoplasms. Therefore, the first responsibility of a pathologist is to distinguish MTC from other mimics using appropriate biomarkers. The second responsibility includes meticulous assessment of the status of angioinvasion (defined as tumor cells invading through a vessel wall and forming tumor-fibrin complexes, or intravascular tumor cells admixed with fibrin/thrombus), tumor necrosis, proliferative rate (mitotic count and Ki67 labeling index), and tumor grade (low- or high-grade) along with the tumor stage and the resection margins. Given the morphologic and proliferative heterogeneity in these neoplasms, an exhaustive sampling is strongly recommended. Routine molecular testing for pathogenic germline RET variants is typically performed in all patients with a diagnosis of MTC; however, multifocal C-cell hyperplasia in association with at least a single focus of MTC and/or multifocal C-cell neoplasia are morphological harbingers of germline RET alterations. It is of interest to assess the status of pathogenic molecular alterations involving genes other than RET like the MET variants in MTC families with no pathogenic germline RET variants. Furthermore, the status of somatic RET alterations should be determined in all advanced/progressive or metastatic diseases, especially when selective RET inhibitor therapy (e.g., selpercatinib or pralsetinib) is considered. While the role of routine SSTR2/5 immunohistochemistry remains to be further clarified, evidence suggests that patients with somatostatin receptor (SSTR)-avid metastatic disease may also benefit from the option of 177Lu-DOTATATE peptide radionuclide receptor therapy. Finally, the authors of this review make a call to support the nomenclature change of MTC to C-cell neuroendocrine neoplasm to align this entity with the IARC/WHO taxonomy since MTCs represent epithelial neuroendocrine neoplasms of endoderm-derived C-cells.
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Affiliation(s)
- Chan Kwon Jung
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea.
| | - Shipra Agarwal
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Jen-Fan Hang
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Dong-Jun Lim
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea
| | - Andrey Bychkov
- Department of Pathology, Kameda Medical Center, Kamogawa, Chiba, 296-8602, Japan
| | - Ozgur Mete
- Department of Pathology, University Health Network, Toronto, ON, M5G 2C4, Canada
- Endocrine Oncology Site, Princess Margaret Cancer, Toronto, ON, M5G 2C4, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5G 2C4, Canada
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Christofer Juhlin C, Mete O, Baloch ZW. The 2022 WHO classification of thyroid tumors: novel concepts in nomenclature and grading. Endocr Relat Cancer 2023; 30:ERC-22-0293. [PMID: 36445235 DOI: 10.1530/erc-22-0293] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/23/2022] [Indexed: 11/25/2022]
Abstract
The fifth edition of the Classification of Endocrine and Neuroendocrine Tumors has been released by the World Health Organization. This timely publication integrates several changes to the nomenclature of non-neoplastic and neoplastic thyroid diseases, as well as novel concepts that are essential for patient management. The heterogeneous group of non-neoplastic and benign neoplastic lesions are now collectively termed as 'thyroid follicular nodular disease' to better reflect the clonal and non-clonal proliferations that clinically present as multinodular goiter. Thyroid neoplasms originating from follicular cells are distinctly divided into benign, low-risk and malignant neoplasms. The new classification scheme stresses that papillary thyroid carcinoma (PTC) should be subtyped based on histomorphologic features irrespective of tumor size to avoid treating all sub-centimeter/small lesions as low-risk disease. Formerly known as the cribriform-morular variant of PTC is redefined as cribriform-morular thyroid carcinoma since this tumor is now considered a distinct malignant thyroid neoplasm of uncertain histogenesis. The 'differentiated high-grade thyroid carcinoma' is a new diagnostic category including PTCs, follicular thyroid carcinomas and oncocytic carcinomas with high-grade features associated with poorer prognosis similar to the traditionally defined poorly differentiated thyroid carcinoma as per Turin criteria. In addition, squamous cell carcinoma of the thyroid is now considered a morphologic pattern/subtype of anaplastic thyroid carcinoma. In this review, we will highlight the key changes in the newly devised fifth edition of the WHO classification scheme of thyroid tumors with reflections on its applicability in patient management and future directions in this field.
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Affiliation(s)
- C Christofer Juhlin
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Ozgur Mete
- Department of Pathology, University Health Network, Toronto, ON, Canada
- Endocrine Oncology Site, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Zubair W Baloch
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Asa SL, Mete O. Medullary Thyroid Carcinoma in the IARC/WHO Neuroendocrine Schema. Endocr Pathol 2022; 33:346-347. [PMID: 35939257 DOI: 10.1007/s12022-022-09728-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/02/2022] [Indexed: 11/26/2022]
Affiliation(s)
- Sylvia L Asa
- Department of Pathology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Institute of Pathology, Room 204, 11100 Euclid Avenue, Cleveland, OH, 44106, USA.
| | - Ozgur Mete
- Department of Pathology, University Health Network, University of Toronto, Toronto General Hospital (UHN), 200 Elizabeth Street, 11th floor, Toronto, ON, M5G 2C4, Canada.
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