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Patrizio A, Ferrari SM, Stoppini G, Palmisano E, Elia G, Ragusa F, Paparo SR, Balestri E, Mazzi V, Botrini C, Proietti A, Famà F, Benvenga S, Antonelli A, Fallahi P. Thyroid Metastasis from Primary Breast Cancer. J Clin Med 2023; 12:jcm12072709. [PMID: 37048792 PMCID: PMC10095414 DOI: 10.3390/jcm12072709] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/15/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
Breast cancer (BC), the most commonly diagnosed malignancy, frequently metastasizes to the bone, lungs, brain and liver at advanced stages, whereas the thyroid gland represents a rare target site for secondary disease. We examined the most recent literature about thyroid metastasis (TM) from BC after we encountered a peculiar case of a 71-year-old woman who developed sudden dysphagia, severe hypothyroidism and hypoparathyroidism due to TM 18 years after the diagnosis of her primary cancer. Based on published data, the prevalence of TM in BC ranges from 3% to 34%, with a median onset time of 48.2 months, although longer time intervals are not infrequent. TM negatively impacts the prognosis of these patients, however thyroid surgery can limit the local disease burden. Therefore, we suggest that clinicians involved in the follow-up care of BC patients should consider a differential diagnosis of secondary thyroid malignancy when incidental lesions are diagnosed during radiological evaluations or local symptoms affect the cervical region, even many years after the diagnosis of the primary cancer.
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Affiliation(s)
- Armando Patrizio
- Department of Emergency Medicine, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy
| | | | - Giulio Stoppini
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Elena Palmisano
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Giusy Elia
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Francesca Ragusa
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Sabrina Rosaria Paparo
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Eugenia Balestri
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Valeria Mazzi
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Chiara Botrini
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Agnese Proietti
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Fausto Famà
- Department of Human Pathology in Adulthood and Childhood “G. Barresi”, University Hospital “G. Martino”, 98125 Messina, Italy
| | - Salvatore Benvenga
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy
- Master Program on Childhood, Adolescent and Women’s Endocrine Health, University of Messina, 98125 Messina, Italy
- Interdepartmental Program of Molecular and Clinical Endocrinology and Women’s Endocrine Health, Azienda Ospedaliera Universitaria Policlinico “G. Martino”, 98125 Messina, Italy
| | - Alessandro Antonelli
- Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Poupak Fallahi
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy
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Li Z, Xia L, Li X, He H. Assessing the causality between thyroid and breast neoplasms: A bidirectional Mendelian randomization study. Front Oncol 2022; 12:973161. [PMID: 36544708 PMCID: PMC9760946 DOI: 10.3389/fonc.2022.973161] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022] Open
Abstract
Aim This study aimed to evaluate the association between thyroid neoplasms (TN) and the risk of developing breast neoplasms (BN) by assessing data on single nucleotide polymorphisms (SNPs) obtained from the Deutsches Krebsforschungszentrum (DKFZ) and Breast Cancer Association (BCAC). Methods Data on SNPs associated with TN and BN were obtained from DKFZ and BCAC, respectively. Secondary data analysis of all pooled data from genome-wide association studies (GWAS) was performed to identify the genetic loci closely associated with TN or BN as instrumental variables (IVs). To evaluate the causal relationship between TN and BN, a bidirectional Mendelian randomization (MR) analysis was performed using MR Egger regression, weighted median, inverse variance weighted (IVW) random effects model, simple mode, weighted mode, maximum likelihood, penalized weighted median, IVW radial, IVW fixed effects, and robust adjusted profile scores (RAPS) method. Results The MR in this study demonstrated a modest reverse causal relationship between TN and BN but a significant positive causal relationship between BN and TN. Conclusions The MR of this study provided genetic evidence suggesting an association between BN and TN; however, further research is warranted to explore the potential mechanism of interaction between these two malignancies. Moreover, general breast screening should be performed in individuals with TN, but TN screening should be reinforced in individuals with BN.
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Affiliation(s)
- Zhenqi Li
- School of Clinical Medicine, Dali University, Dali, China
| | - Lu Xia
- School of Clinical Medicine, Dali University, Dali, China,*Correspondence: Lu Xia,
| | - Xiangzhi Li
- College of Life Science, Shaanxi Normal University, Xi’an, China
| | - Hongyang He
- Department of General Surgery, The First Affiliated Hospital of Dali University, Dali, China
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Jiang Q, He J, Wu J, He M, Bartley E, Ye G, Christakos G. Space‐Time Characterization and Risk Assessment of Nutrient Pollutant Concentrations in China's Near Seas. JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS 2019; 124:4449-4463. [DOI: 10.1029/2019jc015038] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 06/06/2019] [Indexed: 10/10/2024]
Abstract
AbstractHuman activities interacting with coastal waters lead to large amounts of nutrient loading and severe water pollution in China's near Seas. In this context, a comprehensive quantitative characterization of the spatiotemporal variation of nutrient pollutant concentrations is a key component of any reliable seawater quality assessment and integrated coastal management plan. The present work combines the Bayesian maximum entropy method with stochastic site indicators to estimate monthly nitrate and phosphate concentrations in China's near seas during 2015, explore their spatiotemporal variation, and provide an explicit quantitative assessment of seawater quality in conditions of in situ uncertainty. This makes it the first study of space‐time nutrient pollutant characterization at a national‐scale in a coastal seawater environment. The results showed that nitrate and phosphate distributions exhibit the same spatial trends along China's near seas, whereas high nutrient pollution levels are found in the Yangtze River, Liaohe River, and Pearl River estuaries. Local differences of temporal trends exist between nitrate and phosphate distributions, which suggest that distinct remediation strategies are needed to properly satisfy the required seawater quality standards. The average nitrate and phosphate concentrations across space‐time were found to be equal to 0.271 and 0.015 mg/L, respectively. The nitrate and phosphate concentrations exceeding the fourth grade seawater quality standard during 2015 were about 11% and 2.6%, respectively. The study of both the seasonal changes in human activities along the coastal cities and the temporal marine hydrodynamics can offer a better understanding of the seawater quality and the biogeochemical process of nutrient transport and distribution.
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Affiliation(s)
- Qutu Jiang
- Ocean College Zhejiang University Zhoushan China
| | - Junyu He
- Ocean College Zhejiang University Zhoushan China
| | - Jiaping Wu
- Ocean College Zhejiang University Zhoushan China
| | - Mingjun He
- Ocean College Zhejiang University Zhoushan China
| | - Evan Bartley
- Department of Geography San Diego State University San Diego CA USA
| | - Guanqiong Ye
- Ocean College Zhejiang University Zhoushan China
| | - George Christakos
- Ocean College Zhejiang University Zhoushan China
- Department of Geography San Diego State University San Diego CA USA
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Fei X, Chen W, Zhang S, Liu Q, Zhang Z, Pei Q. The spatio-temporal distribution and risk factors of thyroid cancer during rapid urbanization-A case study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 630:1436-1445. [PMID: 29554762 DOI: 10.1016/j.scitotenv.2018.02.339] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 02/26/2018] [Accepted: 02/27/2018] [Indexed: 05/25/2023]
Abstract
BACKGROUND Incidences of thyroid cancer (TC) have been increasing worldwide in recent decades. In this research, we aimed to analyze the spatiotemporal pattern of TC and explore relevant environmental risk factors in Hangzhou (HZ), which is rapidly urbanizing and home to the highest TC incidence in China. METHODS Spatial scan statistic was employed to analyze the spatiotemporal pattern of TC in HZ from 2008 to 2012. The geographically weighted regression model (GWR) was implemented to explore environmental risk factors. Its performance was compared to the traditional ordinary least squares model (OLS). RESULTS A total of 7147 TC cases (5385 female and 1762 male) were diagnosed in HZ from 2008 to 2012. High TC clusters were detected in the northeast, urban areas and expanded outwards while low clusters were located in the southwest rural areas. The GWR model generally performed better than the OLS in analyzing the associations between TC incidence and environmental factors. The industrial density, chemical oxygen demand of wastewater (COD) and the percentage of building area had a strong positive influence on the TC in the northeastern suburb areas of HZ, while the elevation, slope and the percentage of forest area had a significant negative correlation with TC in the middle, rural areas of HZ. Meanwhile, the accessibility to health care might have an impact on the TC incidence. CONCLUSION High clusters were mostly located in the northeastern urban areas and showed an expansion process from the center urban area to the suburb area, especially for female TC. Intensive industrial activities and the emission of organic pollutants, which positively correlated with the high TC clusters in the northeast suburb areas of HZ, should get proper attention.
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Affiliation(s)
- Xufeng Fei
- Zhejiang Academy of Agriculture Sciences, Hangzhou, China; Information Traceability for Agricultural Products, Ministry of Agriculture of China, China
| | - Wanzhen Chen
- Department of Social Work, East China University of Science and Technology, Shanghai, China.
| | - Shuqing Zhang
- Tengzhou Maternal and Child Health Hospital, Tengzhou, China
| | - Qingmin Liu
- Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Zhonghao Zhang
- Institute of Urban Studies, Shanghai Normal University, Shanghai, China; Northwest Institute of Eco-Environment Resources, Chinese Academy of Sciences, Lanzhou, China; Department of Social Sciences, The Education University of Hong Kong, Hong Kong
| | - Qing Pei
- Department of Social Sciences, The Education University of Hong Kong, Hong Kong
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Fei X, Lou Z, Christakos G, Liu Q, Ren Y, Wu J. Contribution of industrial density and socioeconomic status to the spatial distribution of thyroid cancer risk in Hangzhou, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 613-614:679-686. [PMID: 28938210 DOI: 10.1016/j.scitotenv.2017.08.270] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 08/11/2017] [Accepted: 08/27/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND The thyroid cancer (TC) incidence in China has increased dramatically during the last three decades. Typical in this respect is the case of Hangzhou city (China), where 7147 new TC cases were diagnosed during the period 2008-2012. Hence, the assessment of the TC incidence risk increase due to environmental exposure is an important public health matter. METHODS Correlation analysis, Analysis of Variance (ANOVA) and Poisson regression were first used to evaluate the statistical association between TC and key risk factors (industrial density and socioeconomic status). Then, the Bayesian maximum entropy (BME) theory and the integrative disease predictability (IDP) criterion were combined to quantitatively assess both the overall and the spatially distributed strength of the "exposure-disease" association. RESULTS Overall, higher socioeconomic status was positively correlated with higher TC risk (Pearson correlation coefficient=0.687, P<0.01). Compared to people of low socioeconomic status, people of median and high socioeconomic status showed higher TC risk: the Relative Risk (RR) and associated 95% confidence interval (CI) were found to be, respectively, RR=2.29 with 95% CI=1.99 to 2.63, and RR=3.67 with 95% CI=3.22 to 4.19. The "industrial density-TC incidence" correlation, however, was non-significant. Spatially, the "socioeconomic status-TC" association measured by the corresponding IDP coefficient was significant throughout the study area: the mean IDP value was -0.12 and the spatial IDP values were consistently negative at the township level. It was found that stronger associations were distributed among residents mainly on a stripe of land from northeast to southwest (consisting mainly of sub-district areas). The "industrial density-TC" association measured by its IDP coefficient was spatially non-consistent. CONCLUSIONS Socioeconomic status is an important indicator of TC risk factor in Hangzhou (China) whose effect varies across space. Hence, socioeconomic status shows the highest TC risk effect in sub-district areas.
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Affiliation(s)
- Xufeng Fei
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China; Zhejiang Academy of Agriculture Sciences, Hangzhou, China
| | - Zhaohan Lou
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China
| | - George Christakos
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China; Department of Geography, San Diego State University, San Diego, CA, USA
| | - Qingmin Liu
- Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yanjun Ren
- Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jiaping Wu
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China.
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Plonczak AM, DiMarco AN, Dina R, Gujral DM, Palazzo FF. Breast cancer metastases to the thyroid gland - an uncommon sentinel for diffuse metastatic disease: a case report and review of the literature. J Med Case Rep 2017; 11:269. [PMID: 28934992 PMCID: PMC5609028 DOI: 10.1186/s13256-017-1441-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 08/29/2017] [Indexed: 12/22/2022] Open
Abstract
Background Metastases to the thyroid are rare. The most common primary cancer to metastasize to the thyroid is renal cell carcinoma, followed by malignancies of the gastrointestinal tract, lungs, and skin, with breast cancer metastases to the thyroid being rare. Overall, the outcomes in malignancies that have metastasized to the thyroid are poor. There are no prospective studies addressing the role of surgery in metastatic disease of the thyroid. Isolated thyroidectomy has been proposed as a local disease control option to palliate and prevent the potential morbidity of tumor extension related to the airway. Here, we present a case of a patient with breast cancer metastases to the thyroid gland and discuss the role of thyroidectomy in the context of the current literature. Case presentation A 62-year-old Afro-Caribbean woman was diagnosed as having bilateral breast carcinoma in 2004, for which she underwent bilateral mastectomy. The pathology revealed multifocal disease on the right, T2N0(0/20)M0 grade 1 and 2 invasive ductal carcinoma, and on the left side, T3N1(2/18)M0 grade 1 invasive ductal carcinoma. Surgery was followed by adjuvant chemotherapy and regional radiotherapy. The disease was under control on hormonal therapy until 2016, when she developed cervical lymphadenopathy. The fine-needle aspiration cytology of the thyroid was reported as papillary thyroid cancer; and the fine-needle biopsy of the left lateral nodal disease was more suggestive of breast malignancy. She underwent a total thyroidectomy and a clearance of the central compartment lymph nodes and a biopsy of the lateral nodal disease. The histopathological analysis was consistent with metastatic breast cancer in the thyroid and lymph nodes with no evidence of a primary thyroid malignancy. Conclusions A past history of a malignancy elsewhere should raise the index of suspicion of metastatic disease in patients presenting with thyroid lumps with or without cervical lymphadenopathy. Detection of metastases to the thyroid generally indicates poor prognosis, obviating the need of surgery in an already compromised patient. An empirical thyroidectomy should be considered in select patients for local disease control.
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Affiliation(s)
- Agata M Plonczak
- Department of Thyroid & Endocrine Surgery, Hammersmith Hospital, Imperial College Hospitals NHS Trust, London, W12 0HS, UK.
| | - Aimee N DiMarco
- Department of Thyroid & Endocrine Surgery, Hammersmith Hospital, Imperial College Hospitals NHS Trust, London, W12 0HS, UK
| | - Roberto Dina
- Department of Histopathology, Hammersmith Hospital, Imperial College Hospitals NHS Trust, London, W12 0HS, UK
| | - Dorothy M Gujral
- Department of Oncology, Charing Cross Hospital, Imperial College Hospitals NHS Trust, London, W6 8RF, UK
| | - Fausto F Palazzo
- Department of Thyroid & Endocrine Surgery, Hammersmith Hospital, Imperial College Hospitals NHS Trust, London, W12 0HS, UK
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Lou Z, Fei X, Christakos G, Yan J, Wu J. Improving Spatiotemporal Breast Cancer Assessment and Prediction in Hangzhou City, China. Sci Rep 2017; 7:3188. [PMID: 28600508 PMCID: PMC5466684 DOI: 10.1038/s41598-017-03524-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 05/08/2017] [Indexed: 11/21/2022] Open
Abstract
Breast cancer (BC) is the main cause of death of female cancer patients in China. Mainstream mapping techniques, like spatiotemporal ordinary kriging (STOK), generate disease incidence maps that improve our understanding of disease distribution. Yet, the implementation of these techniques experiences substantive and technical complications (due mainly to the different characteristics of space and time). A new spatiotemporal projection (STP) technique that is free of the above complications was implemented to model the space-time distribution of BC incidence in Hangzhou city and to estimate incidence values at locations-times for which no BC data exist. For comparison, both the STP and the STOK techniques were used to generate BC incidence maps in Hangzhou. STP performed considerably better than STOK in terms of generating more accurate incidence maps showing a closer similarity to the observed incidence distribution, and providing an improved assessment of the space-time BC correlation structure. In sum, the inter-connections between space, time, BC incidence and spread velocity established by STP allow a more realistic representation of the actual incidence distribution, and generate incidence maps that are more accurate and more informative, at a lower computational cost and involving fewer approximations than the incidence maps produced by mainstream space-time techniques.
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Affiliation(s)
- Zhaohan Lou
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China
| | - Xufeng Fei
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - George Christakos
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China. .,Department of Geography, San Diego State University, San Diego, CA, USA.
| | - Jianbo Yan
- Zhoushan Center for Disease Control and Prevention, Zhoushan, China
| | - Jiaping Wu
- Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China.
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