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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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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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