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Liu M, Hu C, Li J, Zhou B, Lam PKS, Chen L. Thyroid Endocrine Disruption and Mechanism of the Marine Antifouling Pollutant 4,5-Dichloro-2-n-octyl-4-isothiazolin-3-one. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:19189-19198. [PMID: 39344067 DOI: 10.1021/acs.est.4c07614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
The antifoulant 4,5-dichloro-2-n-octyl-4-isothiazolin-3-one (DCOIT) is an emerging pollutant in the marine environment, which may disrupt the thyroid endocrine system. However, DCOIT toxicity in relation to thyroid endocrine disruption and the underlying mechanisms remains largely unclear. In this study, in vivo, in silico, in vitro, and ex vivo assays were performed to clarify DCOIT's thyroid toxicity. First, marine medaka (Oryzias melastigma) were exposed to environmentally realistic concentrations of DCOIT for an entire life cycle. The results demonstrated that DCOIT exposure potently stimulated the hypothalamic-pituitary-thyroid axis, characterized by hyperthyroidism symptom induction and prevalent key gene and protein upregulation in the brain. Moreover, the in silico and in vitro results evidenced that DCOIT could bind to thyroid hormone receptor β (TRβ) and interact synergistically with triiodothyronine, thus promoting GH3 cell proliferation. The CUT&Tag experiment found that DCOIT interfered with the affinity fingerprint of TRβ to target genes implicated in thyroid hormone signaling cascade regulation. Furthermore, ex vivo, Chem-seq revealed that DCOIT directly bound to the genomic sequences of thyrotropin-releasing hormone receptor b and thyroid-stimulating hormone receptor in marine medaka brain tissues. In conclusion, the current multifaceted evidence confirmed that DCOIT has a strong potency for thyroid endocrine system disruption and provided comprehensive insights into its toxicity mechanisms.
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Affiliation(s)
- Mengyuan Liu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenyan Hu
- School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430072, China
| | - Jiali Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Bingsheng Zhou
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Paul K S Lam
- Office of the President, Hong Kong Metropolitan University, 30 Good Shepherd Street, Hong Kong SAR, China
| | - Lianguo Chen
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
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Sun Y, Wan B, Liu X, Dong J, Yin S, Wu Y. Breast cancer and neoplasms of the thyroid gland: a bidirectional two-sample Mendelian randomization study. Front Oncol 2024; 14:1422009. [PMID: 39469634 PMCID: PMC11513776 DOI: 10.3389/fonc.2024.1422009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 09/30/2024] [Indexed: 10/30/2024] Open
Abstract
Background With the rising incidence of breast cancer (BC) and neoplasms of the thyroid gland, a potential link between the two has drawn increasing attention. However, the causal relationship remains unclear due to various confounding factors. This study aims to investigate the causality between BC and thyroid tumors using Mendelian Randomization (MR) analysis. Methods We conducted a bidirectional two-sample MR analysis, utilizing breast cancer-associated single nucleotide polymorphisms (SNPs) from the Breast Cancer Association Consortium (BCAC) and thyroid tumor-related SNPs from the FinnGen (https://www.finngen.fi/) database. First, we performed univariable MR (UVMR) to assess the causal relationship between BC and both malignant and benign thyroid tumors, followed by reverse causality analysis. To account for potential confounders, we applied multivariable MR (MVMR). The inverse-variance weighted (IVW) method was primarily used, with secondary analyses performed using the weighted median and MR-Egger regression approaches. Results UVMR analysis revealed a significant positive causal relationship between BC and malignant thyroid tumors (odds ratio [OR] and 95% confidence interval [CI]: 1.291, 1.143-1.458, P = 3.90×10-5). No causal relationship was found between BC and benign thyroid tumors. The MVMR analysis, adjusting for confounding factors such as smoking, drinking, and body mass index (BMI), confirmed the robustness of the results. Conclusion This study provides genetic evidence supporting a causal relationship between BC and malignant thyroid tumors. These findings highlight the importance of thyroid cancer screening in BC patients. However, further MR studies or randomized controlled trials (RCTs) are necessary to assess small effects accurately.
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Affiliation(s)
- Yiqi Sun
- Department of Pathology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Bohan Wan
- Department of Pathology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xin Liu
- Department of Pathology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jianguo Dong
- Department of Pathology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Shengjie Yin
- Department of Medical Oncology, Municipal Hospital of Chifeng, Chifeng, Inner Mongolia, China
| | - Yiqi Wu
- Department of Pathology, Harbin Medical University, Harbin, Heilongjiang, China
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Xu JX, Chen YY, Qi LN, Peng YC. Investigation of the causal relationship between breast cancer and thyroid cancer: a set of two-sample bidirectional Mendelian randomization study. Endocrine 2024:10.1007/s12020-024-03976-0. [PMID: 39075276 DOI: 10.1007/s12020-024-03976-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 07/21/2024] [Indexed: 07/31/2024]
Abstract
PURPOSE A potential association between breast (BC) and thyroid cancer (TC) has been observed. We investigated if the relationship between BC and TC is causal using bidirectional Mendelian randomization (MR) in Asian and European populations. METHODS BC-linked single nucleotide polymorphisms (SNPs) were acquired from a genome-wide association study (GWAS) conducted by the Breast Cancer Association Consortium and Biobank Japan. The most recent TC GWAS data were obtained from the FinnGen Project and National Biobank of Korea. We assessed the potential causal relationship between BC and TC using various MR methods, including inverse-variance-weighting (IVW). Sensitivity, heterogeneity, and pleiotropic tests were performed to assess reliability. RESULTS We found a bidirectional causal association between BC and TC within Europeans (IVW, TC on BC: odds ratio [OR] 1.090, 95% confidence interval [CI]: 1.012-1.173, P = 0.023; BC on TC: OR 1.265, 95% CI: 1.158-1.381, P < 0.001). A one-way causal relationship between BC susceptibility and TC risk was found in Asians (IVW BC on TC: OR 2.274, 95% CI: 2.089-2.475, P < 0.001). Subsequently, we identified a noteworthy bidirectional causal relationship between estrogen receptor (ER)-positive BC and TC (IVW, TC on ER-positive BC: OR 1.104, 95% CI: 1.001-1.212, P = 0.038; ER-positive BC on TC: OR 1.223, 95%CI: 1.072-1.395, P = 0.003), but not ER-negative BC and TC in Europeans. CONCLUSION We revealed a reciprocal causal association between ER-positive BC and TC. These findings establish a theoretical framework for the simultaneous surveillance and treatment of BC and TC.
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Affiliation(s)
- Jing-Xuan Xu
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Province, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency tumour, Ministry of Education, Nanning, 530021, Guangxi Province, China
| | - Yuan-Yuan Chen
- Department of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - Lu-Nan Qi
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Province, China.
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency tumour, Ministry of Education, Nanning, 530021, Guangxi Province, China.
| | - Yu-Chong Peng
- Department of General Surgery, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400021, Chongqing, China.
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Chen LH, Xie T, Lei Q, Gu YR, Sun CZ. A review of complex hormone regulation in thyroid cancer: novel insights beyond the hypothalamus-pituitary-thyroid axis. Front Endocrinol (Lausanne) 2024; 15:1419913. [PMID: 39104813 PMCID: PMC11298353 DOI: 10.3389/fendo.2024.1419913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/08/2024] [Indexed: 08/07/2024] Open
Abstract
Like the ovaries and prostate, the thyroid exhibits characteristic hormone secretion and regulation. Thyroid cancer (TC), especially differentiated thyroid carcinoma, has typical sex-specific and age-specific hormone-driven clinical features. Previous research has primarily focused on the effects of thyroid stimulating hormone, thyroid hormones, and estrogens on the onset and progression of TC, while the roles of growth hormone (GH), androgens, and glucocorticoids have largely been overlooked. Similarly, few studies have investigated the interactions between hormones and hormone systems. In fact, numerous studies of patients with acromegaly have shown that serum levels of GH and insulin-like growth factor-1 (IGF-1) may be associated with the onset and progression of TC, although the influences of age, sex, and other risk factors, such as obesity and stress, remain unclear. Sex hormones, the GH/IGF axis, and glucocorticoids are likely involved in the onset and progression of TC by regulating the tumor microenvironment and metabolism. The aim of this review was to clarify the roles of hormones and hormone systems in TC, especially papillary thyroid carcinoma, as references for further investigations.
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Affiliation(s)
| | | | | | | | - Chuan-zheng Sun
- Department of Head and Neck Surgery section II, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
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Tang Y, Zhu B, Wen X, Chen Y. Development of a prediction model for the association between thyroid dysfunction and breast cancer. Transl Cancer Res 2024; 13:2790-2798. [PMID: 38988922 PMCID: PMC11231781 DOI: 10.21037/tcr-23-2164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 05/07/2024] [Indexed: 07/12/2024]
Abstract
Background Thyroid dysfunction is associated with the risk of benign and malignant breast tumors, but currently there is a lack of model studies to demonstrate the predictive role of thyroid dysfunction in benign and malignant breast tumors. This study aims to establish a model for predicting the association between thyroid dysfunction and breast cancer. Methods This retrospective study enrolled breast tumor patients from the Affiliated Tumor Hospital of Xinjiang Medical University from 2015 to 2019. Their baseline data and laboratory data were collected. Python was used for data processing and analysis. Data preparation, feature selection, model construction, and model evaluation were conducted. We utilized the classification probabilities generated by the model as scores and further conducted a least absolute shrinkage and selection operator analysis. Results Analysis of the laboratory data revealed statistically significant differences in thyroid-stimulating hormone, thyroxine, free thyroxine, free triiodothyronine, and thyronine levels between patients with benign and malignant tumors. Based on age, ethnicity, thyroid function, and estrogen levels, the predictive model for breast tumor malignancy indicated that the factors with the greatest importance ranking were age > follicle-stimulating hormone > luteinizing hormone > prolactin > thyroxine > testosterone > ethnicity. The model showed an accuracy rate of 83.70%, precision of 90.69%, sensitivity of 84.74%, and specificity of 81.50%. The area under the receiver operating characteristic curve was 0.9012, close to 1, indicating good predictive performance of the model. Conclusions The predictive model based on factors such as age, ethnicity, thyroid function, and estrogen levels performs well in predicting the occurrence and development of benign and malignant breast tumors.
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Affiliation(s)
- Yuehong Tang
- Department of Human Resources, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
- School of Public Health, Xinjiang Medical University, Urumqi, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, Urumqi, China
| | - Bilin Zhu
- Obstetrics Department, People's Hospital of Yunyang County, Chongqing, China
| | - Xuelian Wen
- School of Public Health, Xinjiang Medical University, Urumqi, China
| | - Yan Chen
- Medical College, Jiaxing University, Jiaxing, China
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Lukasiewicz M, Zwara A, Kowalski J, Mika A, Hellmann A. The Role of Lipid Metabolism Disorders in the Development of Thyroid Cancer. Int J Mol Sci 2024; 25:7129. [PMID: 39000236 PMCID: PMC11241618 DOI: 10.3390/ijms25137129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/21/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
Thyroid cancer (TC) is a neoplasm with an increasing incidence worldwide. Its etiology is complex and based on a multi-layered interplay of factors. Among these, disorders of lipid metabolism have emerged as an important area of investigation. Cancer cells are metabolically reprogrammed to promote their rapid growth, proliferation, and survival. This reprogramming is associated with significant changes at the level of lipids, mainly fatty acids (FA), as they play a critical role in maintaining cell structure, facilitating signaling pathways, and providing energy. These lipid-related changes help cancer cells meet the increased demands of continued growth and division while adapting to the tumor microenvironment. In this review, we examine lipid metabolism at different stages, including synthesis, transport, and oxidation, in the context of TC and the effects of obesity and hormones on TC development. Recent scientific efforts have revealed disturbances in lipid homeostasis that are specific to thyroid cancer, opening up potential avenues for early detection and targeted therapeutic interventions. Understanding the intricate metabolic pathways involved in FA metabolism may provide insights into potential interventions to prevent cancer progression and mitigate its effects on surrounding tissues.
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Affiliation(s)
- Martyna Lukasiewicz
- Department of General, Endocrine and Transplant Surgery, Faculty of Medicine, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Agata Zwara
- Department of Environmental Analytics, Faculty of Chemistry, University of Gdansk, 80-309 Gdansk, Poland
| | - Jacek Kowalski
- Department of Pathomorphology, Faculty of Medicine, Medical University of Gdansk, 80-211 Gdansk, Poland
- International Centre for Cancer Vaccine Science, University of Gdansk, 80-309 Gdansk, Poland
| | - Adriana Mika
- Department of Environmental Analytics, Faculty of Chemistry, University of Gdansk, 80-309 Gdansk, Poland
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Andrzej Hellmann
- Department of General, Endocrine and Transplant Surgery, Faculty of Medicine, Medical University of Gdansk, 80-211 Gdansk, Poland
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Wu JY, Shyu YK, Lee YK, Wang YC, Chiang CJ, You SL, Liao LJ, Hsu WL, Chen YC. Secular Increasing Trends in Female Thyroid Cancer Incidence in Taiwan. Life (Basel) 2024; 14:809. [PMID: 39063564 PMCID: PMC11278399 DOI: 10.3390/life14070809] [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: 06/03/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Thyroid cancer incidence has increased globally in recent decades, especially in females, although its trends in Taiwan have not been studied extensively. This study aimed to investigate changes in female incidence and possible causes of thyroid cancer in Taiwan. METHODS Using the Taiwan Cancer Registry (TCR) Database, age-standardized incidence rates, age-specific incidence rates and birth cohorts were calculated. Correlation between female thyroid cancer incidence and cohort fertility rates were examined. RESULTS Thyroid cancer incidence increased in Taiwanese female, with age-adjusted rates per 100,000 people increasing from 7.37 during 1995-1999 to 20.53 during 2015-2019; the annual percentage change (APC) was 5.9% (95% CI, 5.3-6.5). Age-specific incidence rates increased with age, with peak rates occurring at younger ages. The APCs in the 50-54 age group were the highest (6.8%, 95% CI, 6.1-7.5). Incidence rates also increased with later birth cohorts. We observed a significant negative correlation between thyroid cancer incidence and fertility rates in the same birth cohort. CONCLUSIONS We hypothesize that overdiagnosis may be a main reason for the rapidly increasing thyroid cancer incidence in Taiwanese females. Notably, we observed a strong negative correlation between fertility and thyroid cancer incidence. However, our study is limited by the absence of individual-level cancer data in the TCR database. These associations with fertility will be an important subject for future thyroid cancer research.
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Affiliation(s)
- Jiun-Yan Wu
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan; (J.-Y.W.); (S.-L.Y.)
| | - Yuh-Kae Shyu
- Department of Nursing, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
| | - Yu-Kwang Lee
- Division of General Surgery, Department of Surgery, National Taiwan University Hospital, Taipei 100, Taiwan;
| | - Yu-Chiao Wang
- Master Program of Big Data in Medical Healthcare Industry, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan;
| | - Chun-Ju Chiang
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan;
| | - San-Lin You
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan; (J.-Y.W.); (S.-L.Y.)
- Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan
| | - Li-Jen Liao
- Otolaryngology Head and Neck Surgery, Far Eastern Memorial Hospital, Taipei 100, Taiwan;
- Head and Neck Cancer Surveillance and Research Group, Far Eastern Memorial Hospital, New Taipei City 242, Taiwan
- Department of Electrical Engineering, Yuan Ze University, Taoyuan 320, Taiwan
| | - Wan-Lun Hsu
- Master Program of Big Data in Medical Healthcare Industry, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan;
- Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan
| | - Yong-Chen Chen
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan; (J.-Y.W.); (S.-L.Y.)
- Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan
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Jin J, Li J, Liu Y, Shi Q, Zhang B, Ji Y, Hu P. Thyroid Hormone Changes Correlate to Combined Breast Cancer with Primary Thyroid Cancer. BREAST CANCER (DOVE MEDICAL PRESS) 2024; 16:15-22. [PMID: 38223235 PMCID: PMC10787567 DOI: 10.2147/bctt.s442707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/21/2023] [Indexed: 01/16/2024]
Abstract
Background Breast cancer and thyroid cancer are two prevalent malignancies in women, and a potential association between the two diseases has been suggested. Methods This retrospective case-control study was conducted involving 97 patients with breast cancer and thyroid cancer (BC-TC group) and 97 age-matched patients with breast cancer alone (BC group). Thyroid hormone levels, including triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4) and thyroid-stimulating hormone (TSH), were analyzed in healthy controls, BC patients, and BC-TC patients. Results BC-TC patients exhibited a higher rate of estrogen receptor (ER) and progesterone receptor (PR) positivity compared to BC patients. Serum T3 levels were significantly decreased in BC and BC-TC patients compared to healthy controls. However, there was no significant difference in T3 levels between BC and BC-TC patients. Serum TSH levels were significantly higher in BC-TC patients compared to BC patients. Conclusion ER positivity, PR positivity, and serum TSH levels greater than 4.45 mU/L were independent risk factors for primary thyroid cancer in breast cancer patients.
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Affiliation(s)
- Jian Jin
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
| | - Jie Li
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
| | - Yonghong Liu
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
| | - Qingfeng Shi
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
| | - Bo Zhang
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
| | - Yanting Ji
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
| | - Pengfei Hu
- Thyroid and Breast Surgery Department, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, People’s Republic of China
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Liu J, Liang L. The association between thyroid and breast cancers: a bidirectional mendelian randomization study. Front Endocrinol (Lausanne) 2023; 14:1185497. [PMID: 37955011 PMCID: PMC10634417 DOI: 10.3389/fendo.2023.1185497] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 10/09/2023] [Indexed: 11/14/2023] Open
Abstract
Background Thyroid and breast cancers are the two most frequent types of endocrine-related tumors among women worldwide, and their incidence is still on the rise. Observational studies have shown a relationship between thyroid and breast cancers. Nevertheless, many confounders predispose the results to interference. Accordingly, we performed a two-sample Mendelian randomization (MR) study to investigate the causal association between thyroid and breast cancers. Methods We acquired breast cancer data from the UK Biobank (13,879 breast cancer cases and 198,523 controls) and the Breast Cancer Association Consortium (BCAC; 122,977 breast cancer cases and 105,974 controls), and thyroid cancer data from FinnGen Biobank (989 thyroid cancer and 217,803 controls). Then, the multiplicative random effects inverse variance weighting (IVW), weight median (WM), and MR Egger methods were executed for MR analysis. Results Overall, IVW showed a causal effect of breast cancer on thyroid cancer using the BCAC dataset (odds ratio [OR] = 1.17; 95% confidence interval [CI] = 1.036-1.322; P = 0.011), and this relationship was also supported by the UK Biobank dataset (OR = 23.899; 95% CI = 2.331-245.003; P = 0.007), which showed that breast cancer patients were more likely to be diagnosed with thyroid cancer. On the whole, the reverse MR analysis did not show a causal effect of breast cancer on thyroid cancer. However, IVW showed a causal effect of thyroid cancer on estrogen receptor -negative breast cancer using the BCAC dataset (OR = 1.019; 95% CI = 1.001-1.038; P = 0.043), which suggested that people with thyroid cancer were more likely to develop breast cancer. Conclusions Breast cancer represents a possible risk factor for thyroid cancer and thyroid cancer also represents a possible risk factor for ER-negative breast cancer. Future studies using powerful genetic tools to determine the causal relationship between breast and thyroid cancers are required.
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Affiliation(s)
- Jinchi Liu
- Department of Oncology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People’s Hospital of Yulin, Guangxi, China
- China Medical University, Shenyang, China
| | - Leifeng Liang
- Department of Oncology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People’s Hospital of Yulin, Guangxi, China
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Zeng Y, Zhang D, Fu N, Zhao W, Huang Q, Cui J, Chen Y, Liu Z, Zhang X, Zhang S, Mansoor KM. Risk Factors for Granulomatous Mastitis and Establishment and Validation of a Clinical Prediction Model (Nomogram). Risk Manag Healthc Policy 2023; 16:2209-2222. [PMID: 37881167 PMCID: PMC10596285 DOI: 10.2147/rmhp.s431228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023] Open
Abstract
Background This study aimed to explore the risk factors and clinical characteristics of granulomatous mastitis (GM) using a case-control study and establish and validate a clinical prediction model (nomogram). Methods This retrospective case-control study was conducted in three hospitals in China from June 2017 to December 2021. A total of 1634 GM patients and 186 healthy women during the same period were included and randomly divided into the modeling and validation groups in a 7:3 ratio. To identify the independent risk factors of GM, univariate and multivariate logistic analyses were conducted and used to develop a nomogram. The prediction model was internally and externally validated using the Bootstrap technique and validation cohort. The receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the discrimination and calibration of the prediction model. Decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the clinical significance of the model. Results The average age of GM patients was 33.14 years (mainly 20-40). The incidence was high within five years from delivery and mainly occurred in the unilateral breast. The majority of the patients exhibited local skin alterations, while some also presented with systemic symptoms. On multivariate logistic analysis, age, high prolactin level, sex hormone intake, breast trauma, nipple discharge or invagination, and depression were independent risk factors for GM. The mean area under the curve (AUC) in the modeling and validation groups were 0.899 and 0.889. The internal and external validation demonstrated the model's predictive ability and clinical value. Conclusion Lactation-related factors are the main risk factors of GM, leading to milk stasis or increased ductal secretion. Meanwhile, hormone disorders could affect the secretion and expansion of mammary ducts. All these factors can obstruct or injure the duct, inducing inflammatory reactions and immune responses. Additionally, blunt trauma, depressed mood, and diet preference can accelerate the process. The nomogram can effectively predict the risk of GM.
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Affiliation(s)
- Yifei Zeng
- Department of Galactophore, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
- Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Dongxiao Zhang
- Department of Galactophore, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Na Fu
- Department of Galactophore, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Wenjie Zhao
- Department of Galactophore, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Qiao Huang
- Department of Galactophore, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Jianchun Cui
- Liaoning Provincial People’s Hospital (Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University), Shenyang, People’s Republic of China
| | - Yunru Chen
- Centre for Evidence-Based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Zhaolan Liu
- Centre for Evidence-Based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Xiaojun Zhang
- Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China
| | - Shiyun Zhang
- Guang’ Anmen Hospital, China Academy of Chinese Medical Science, Beijing, People’s Republic of China
| | - Khattak Mazher Mansoor
- Liaoning Provincial People’s Hospital (Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University), Shenyang, People’s Republic of China
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An J, Kwon H, Kim YJ. The Role of Blood Microbiome in the Development of Thyroid Cancer in Breast Cancer Survivors. Cancers (Basel) 2023; 15:4492. [PMID: 37760462 PMCID: PMC10526815 DOI: 10.3390/cancers15184492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/03/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Patients diagnosed with breast cancer are likely to be diagnosed with thyroid cancer as a second primary cancer. Similarly, patients with thyroid cancer are likely to develop breast cancer. In this study, we found an association between these two types of cancers in the microbiomes of patients with breast cancer. Blood samples were collected from 96 patients with breast cancer, their bacterial extracellular vesicles were isolated, and their microbiomes were analyzed. After microbiome analysis, researchers performed thyroid function tests, estrogen levels, and thyroid ultrasound results of these patients, and the relationships among these parameters were analyzed. Based on the thyroid ultrasonography results, differences in the microbiome were confirmed in the normal, cyst, nodule, and thyroid lobectomy groups. We investigated the microbiome differences between normal thyroid and thyroid cancer. In particular, the abundance of the genus Bacillus is related to estrogen levels, which could affect thyroid abnormalities and increase thyroid-stimulating hormone levels. This study explains the causes of thyroid cancer in patients with breast cancer using microbiomes and serological tests for thyroid hormones and estrogen. These can be used as basic data for preventing thyroid cancer in patients with breast cancer.
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Affiliation(s)
- Jeongshin An
- Institute of Convergence Medicine Research, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea
- Department of Surgery, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea
| | - Hyungju Kwon
- Department of Surgery, Ewha Womans University Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea
| | - Young Ju Kim
- Department of Obstetrics and Gynecology, Ewha Medical Institute, College of Medicine, Ewha Womans University, Seoul 07804, Republic of Korea
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Gong Z, Yang Y, Liu Z. Ectopic thyroid tissue in the breast: A case report. Open Life Sci 2023; 18:20220628. [PMID: 37333484 PMCID: PMC10276541 DOI: 10.1515/biol-2022-0628] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/01/2023] [Accepted: 05/15/2023] [Indexed: 06/20/2023] Open
Abstract
Ectopic thyroid tissue is a rare condition manifested as the appearance of thyroid tissue outside the thyroid gland. Here, we report a case of ectopic thyroid tissue in the breast. A 48-year-old Chinese woman who was diagnosed with breast cancer received modified radical mastectomy. A thyroid tissue was found on subsequent pathological examination. The ectopic thyroid tissue was confirmed by immunohistochemistry staining of thyroid biomarkers, including thyroglobulin, thyroid transcription factor-1, and thyroid peroxidase. Currently, abnormal thyroid anlage descent is the main theory to explain ectopic thyroid tissue, especially lingual thyroid. However, it is far-fetched to explain the pathogenesis of ectopic thyroid tissues existed in organs or tissues far from thyroid such as iris, cardiac, pulmonary, duodenal, adrenal, and vertebral. Here, we reviewed the previous cases of ectopic thyroid tissue in breast and proposed a "entoderm migration" theory to explain distant ectopic thyroid tissues based on embryonic development perspective.
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Affiliation(s)
- Zheng Gong
- Department of Thoracic Surgery, The Affiliated Hospital of Yunnan University, Kunming, China
| | - Yan Yang
- Department of General Surgery, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China
| | - Zegang Liu
- Department of General Surgery, 920th Hospital of Joint Logistics Support Force, PLA, Kunming, China
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13
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Tan H, Wang S, Huang F, Tong Z. Association between breast cancer and thyroid cancer risk: a two-sample Mendelian randomization study. Front Endocrinol (Lausanne) 2023; 14:1138149. [PMID: 37288296 PMCID: PMC10242035 DOI: 10.3389/fendo.2023.1138149] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 05/03/2023] [Indexed: 06/09/2023] Open
Abstract
Background Breast and thyroid cancer are increasingly prevalent, but it remains unclear whether the observed associations are due to heightened medical surveillance or intrinsic etiological factors. Observational studies are vulnerable to residual confounding, reverse causality, and bias, which can compromise causal inference. In this study, we employed a two-sample Mendelian randomization (MR) analysis to establish a causal link between breast cancer and heightened thyroid cancer risk. Methods We obtained the single nucleotide polymorphisms (SNPs) associated with breast cancer from a genome-wide association study (GWAS) conducted by the Breast Cancer Association Consortium (BCAC). The FinnGen consortium's latest and largest accessible GWAS thyroid cancer data at the summary level. We performed four MR analyses, including the inverse-variance-weighted (IVW), weighted median, MR-Egger regression, and weighted mode, to evaluate the potential causal connection between genetically predicted breast cancer and higher risk for thyroid cancer. Sensitivity analysis, heterogeneity and pleiotropy tests were used to ensure the reliability of our findings. Results Our study revealed causal relationship between genetically predicted breast cancer and thyroid cancer (IVW method, odds ratio (OR) = 1.135, 95% confidence interval (CI): 1.006 to 1.279, P = 0.038). However, there was no causal association between genetically predicted triple-negative breast cancer and thyroid cancer (OR = 0.817, 95% CI: 0.610 to 1.095, P = 0.177). There was no directional pleiotropy or horizontal pleiotropy in the present study. Conclusion This two-sample MR study supports a causal link between ER-positive breast cancer and heightened the risk of thyroid cancer. Our analysis did not reveal a direct correlation between triple-negative breast cancer and thyroid cancer.
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Affiliation(s)
- Hong Tan
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Sisi Wang
- Department of Medical Laboratory, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, Hunan, China
| | - Feifei Huang
- Department of Pathology, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong, China
| | - Zhongyi Tong
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
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14
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Liu Q, Ma B, Song M, Sun W, Zhang H. Age-dependent changes in the prognostic advantage of papillary thyroid cancer in women: A SEER-based study. Clin Endocrinol (Oxf) 2023. [PMID: 36806120 DOI: 10.1111/cen.14896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/20/2023]
Abstract
BACKGROUND Papillary thyroid cancer (PTC) is more prevalent in women, and women show a better prognosis than men; however, the factors contributing to this prognostic difference are confounding. Therefore, we aimed to investigate the effect of the interaction between sex and age on the prognosis of PTC. METHODS A total of 108,459 patients with PTC were retrospectively analysed, and Cox-regression models were used to assess differences in disease specific survival (DSS) by sex, with inverse probability of treatment weighting (IPTW) to control for between-group differences in prognosis by sex due to age change. Restricted cubic splines were used to analyse prognostic differences between sexes for papillary thyroid microcarcinoma (PTMC) and PTC. Multiple mediation analyses were used to assess the direct or indirect effect of sex on DSS. RESULTS The DSS was higher for women than men (98.6% vs. 95.4%, χ2 = 458.57, p < .001). After IPTW adjustment, the DSS of women was better than that of men (HR = 0.67, 0.60-0.76). In the subgroup analysis, women had an advantage in DSS across most age intervals (crude HR = 0.166 [0.082-0.337], p < .001, IPTW-adjusted HR = 0.331 [0.161-0.681], p < .001). The difference between the two gradually narrowed with increasing age, and the prognosis of women was better than that of men in PTMC, while this advantage was not obvious in PTC. CONCLUSIONS The overall PTC prognosis of women is better than that of men, but the prognostic advantage of women diminishes with age and tumour growth. These differences in prognosis may be due to some indirect factors caused by different sexes.
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Affiliation(s)
- Qi Liu
- Department of Thyroid Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Bing Ma
- Department of Clinical Epidemiology and Evidence-Based Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Mingyuan Song
- Department of Thyroid Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Wei Sun
- Department of Thyroid Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Hao Zhang
- Department of Thyroid Surgery, The First Hospital of China Medical University, Shenyang, China
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15
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Wang Y, Zhang Y, Xin S. Letter to the Editor From Wang et al.: "Hormonal Crosstalk Between Thyroid and Breast Cancer". Endocrinology 2023; 164:7034462. [PMID: 36772947 DOI: 10.1210/endocr/bqad009] [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] [Received: 11/30/2022] [Indexed: 02/12/2023]
Affiliation(s)
- Yinghou Wang
- Department of General Surgery, The First Hospital of China Medical University, Shenyang 110002, Liaoning, China
| | - Yajie Zhang
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning, China
| | - Shijie Xin
- Department of General Surgery, The First Hospital of China Medical University, Shenyang 110002, Liaoning, China
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