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Xu L, Cao ZX, Weng X, Wang CF. Global thyroid cancer incidence trend and age-period-cohort model analysis based on Global Burden of Disease Study from 1990 to 2019. Front Endocrinol (Lausanne) 2023; 14:1133098. [PMID: 37124740 PMCID: PMC10130642 DOI: 10.3389/fendo.2023.1133098] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 03/31/2023] [Indexed: 05/02/2023] Open
Abstract
Background In view of the rapid increase in the incidence of thyroid cancer (TC) and the spread of overdiagnosis around the world, the quantitative evaluation of the effect of age, period and birth cohort on the incidence of TC, and the analysis of the role of different factors in the incidence trend can provide scientific basis and data support for the national health departments to formulate reasonable prevention and treatment policies. Methods The study collated the global burden disease study data of TC incidence from 1990 to 2019, and used APC model to analyze the contribution of age, period and birth cohort to the incidence trend of TC. Results There was an obvious unfavorable upward trend in terms of age and cohort effect all over the world. Since 2007, the growth rate of risk slowed down and the risk in female even decreased since 2012, which mainly contributed to the developed countries. In all SDI countries, 2002 is the dividing point of risk between male and female. In 2019, The global age-standardized incidence rate (ASIR) of TC in the 5 SDI countries all showed a significant upward trend, with the largest upward trend in the middle SDI countries. Conclusion The trend of rapid increase in the incidence of TC has begun to slow down, but the global incidence of TC has obvious gender and regional/national heterogeneity. Policy makers should tailor specific local strategies to the risk factors of each country to further reduce the burden of TC.
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Affiliation(s)
- Le Xu
- Department of Head and Neck Surgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhe Xu Cao
- Department of Thyroid Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xin Weng
- Department of Pathology, The First Affiliated Hospital, Nanhua University, Hengyang, Hunan, China
| | - Can Fei Wang
- Department of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Can Fei Wang,
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Zhang J, Zhang F, Zhao C, Xu Q, Liang C, Yang Y, Wang H, Shang Y, Wang Y, Mu X, Zhu D, Zhang C, Yang J, Yao M, Zhang L. Dysbiosis of the gut microbiome is associated with thyroid cancer and thyroid nodules and correlated with clinical index of thyroid function. Endocrine 2019; 64:564-574. [PMID: 30584647 DOI: 10.1007/s12020-018-1831-x] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 12/12/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE Thyroid cancer and thyroid nodules are the most prevalent form of thyroid endocrine disorder. The balance of gut microbiome is highly crucial for a healthy human body, especially for the immune and endocrine system. However, the relationship between gut microbiome and the thyroid endocrine disorders such as thyroid cancer and thyroid nodules has not been reported yet. METHODS A cohort of 74 patients was recruited for this study. Among them, 20 patients had thyroid cancer, 18 patients had thyroid nodules, and 36 were matched healthy controls. Gut microbiome composition was analyzed by 16S rRNA (16S ribosomal RNA) gene-based sequencing protocol. RESULTS We compared the gut microbiome results of 74 subjects and established the correlation between gut microbiome and thyroid endocrine function for both thyroid cancer and thyroid nodules. The results inferred that alpha and beta diversity were different for patients with thyroid tumor than the healthy controls (p < 0.01). In comparison to healthy controls, the relative abundance of Neisseria (p < 0.001) and Streptococcus (p < 0.001) was significantly higher for thyroid cancer and thyroid nodules. Butyricimonas (p < 0.001) and Lactobacillus (p < 0.001) displayed notably lower relative abundance for thyroid cancer and thyroid nodules, respectively. It was also found that the clinical indexes were correlated with gut microbiome. CONCLUSION Our results indicate that both thyroid cancer and thyroid nodules are associated with the composition of gut microbiome. These results may support further clinical diagnosis to a great extent and help in developing potential probiotics to facilitate the treatment of thyroid cancer and thyroid nodules.
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Affiliation(s)
- Jiaming Zhang
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
- College of Life Science, Shandong Normal University, Shandong Province, Jinan, 250014, China
| | - Fanghua Zhang
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
| | - Changying Zhao
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
- College of Life Science, Shandong Normal University, Shandong Province, Jinan, 250014, China
| | - Qian Xu
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
| | - Cheng Liang
- School of Information Science and Engineering, Shandong Normal University, Shandong Province, Jinan, 250014, China
| | - Ying Yang
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
| | - Huiling Wang
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
| | - Yongfang Shang
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
| | - Ye Wang
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
- Clinical Laboratory and Core Research Laboratory, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao 266042, China
| | - Xiaofeng Mu
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
- Clinical Laboratory and Core Research Laboratory, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao 266042, China
| | - Dequan Zhu
- Microbiological Laboratory, Lin Yi People's Hospital, Shandong Province, Linyi 276003, China
| | - Chunling Zhang
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China
| | - Junjie Yang
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China.
- College of Life Science, Qilu Normal University, Shandong Province, Jinan, 250200, China.
| | - Minxiu Yao
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China.
- Department of Endocrinology, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China.
| | - Lei Zhang
- Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Shandong Province, Qingdao, 266042, China.
- Microbiological Laboratory, Lin Yi People's Hospital, Shandong Province, Linyi 276003, China.
- Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan, 250022, China.
- Shandong Institutes for Food and Drug Control, Xinluo Street 2749, Jinan, Shandong Province, 250101, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Chemistry and Environment, Beihang University, Beijing, 100191, China.
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Albasri A, Sawaf Z, Hussainy AS, Alhujaily A. Histopathological patterns of thyroid disease in Al-Madinah region of Saudi Arabia. Asian Pac J Cancer Prev 2015; 15:5565-70. [PMID: 25081665 DOI: 10.7314/apjcp.2014.15.14.5565] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES This study aimed to characterize the histopathological pattern of thyroid lesions among Saudi patients and to highlight the age and gender variations of these lesions as base line data. MATERIALS AND METHODS We retrospectively analyzed the data from thyroid specimens received at the Department of Pathology, King Fahad Hospital, Madinah, Saudi Arabia from January 2006 to December 2013. RESULTS The 292 thyroidectomy specimens received during the study period came from 230 (78.8%) females and 62 (21.2%) males giving a female: male ratio of 3.7:1. Age of the patients ranged from 14 to 95 years with a mean age 39.7 years. Two hundred and eleven (72.3%) cases were found to be non-neoplastic and 81 (27.7%) cases were neoplastic. The non-neoplastic group included: colloid goiter, including both diffuse and nodular goiter (170 cases; 58.2%), nodular hyperplasia (28 cases; 9.6%), Hashimoto/chronic lymphocytic thyroiditis (12 cases; 4.1%), and Grave's disease (1 case; 0.3%). In neoplastic lesions, there were 7 benign tumors and 74 malignant tumors. Among the benign tumors, 5 were follicular adenomas and 2 were Hurthle cell adenomas. Papillary carcinoma was the commonest malignant tumor accounting for 87.8% of all thyroid malignancies, followed by lymphoma, follicular carcinoma and medullary carcinoma. The size of papillary carcinoma was more than 2 cm in 40 cases (76.9%). CONCLUSIONS Non-neoplastic thyroid lesions were more common than neoplastic ones. Colloid goiter was the most common lesion. Follicular adenoma was the commonest benign tumor and papillary carcinoma was the commonest malignant lesion. There appears to be a slightly increased trend of papillary carcinoma diagnosis, most being diagnosed at an advanced stage.
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Affiliation(s)
- Abdulkader Albasri
- Department of Pathology, Taibah University, Madinah, Saudi Arabia E-mail :
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