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Faithfull S, Greenfield D. Cancer survivor late-effects, chronic health problems after cancer treatment: what's the evidence from population and registry data and where are the gaps? Curr Opin Support Palliat Care 2024; 18:55-64. [PMID: 38170192 DOI: 10.1097/spc.0000000000000692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
PURPOSE OF REVIEW Improvements in cancer treatment have led to more people living with and beyond a cancer diagnosis but survivors may have increased health problems as they age. The purpose of this review is to critically evaluate population data exploring incidence of late effects for cancer survivors. RECENT FINDINGS 18 studies were identified between 2013 and 2023 that explored the impact on survivors' physical and emotional health. Patients who had been treated at least 2 years previously for cancer had significant cardiovascular risk factors compared with age-matched controls. Women with breast cancer were more likely to have cardiovascular disease, including hypertension, arrythmias and congestive heart failure. This was associated with anthracyclines and/or trastuzumab as part of systemic anti-cancer therapy. Survivors of colorectal cancer were three times more likely to have acute kidney injury than age-matched controls. Stress and mood disorders were higher in survivors of testicular cancer and prostate cancer. SUMMARY Population studies are important to identify the 'real world' consequences of cancer and its treatment beyond clinical trials. Knowledge is critical for managing an ageing cancer population. Data to personalise cancer survivorship care, not only helps determine potential health risks, but can improve secondary prevention, emotional health, recovery, and long-term outcomes.
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Affiliation(s)
- Sara Faithfull
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
- Discipline of Radiation Therapy, School of Medicine, Trinity College Dublin, the University of Dublin, Trinity Centre for Health Sciences St. James's Hospital Campus Dublin 8, Ireland
| | - Diana Greenfield
- Specialised Cancer Services, Sheffield Teaching Hospitals NHS Foundation Trust
- Medicine and Population Health, University of Sheffield, Sheffield, UK
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Park YI, Cho MS, Chang JS, Kim JS, Kim YB, Lee IJ, Hong CS, Choi SH. Normal tissue complication probability models of hypothyroidism after radiotherapy for breast cancer. Clin Transl Radiat Oncol 2024; 45:100734. [PMID: 38317677 PMCID: PMC10839258 DOI: 10.1016/j.ctro.2024.100734] [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: 12/13/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 02/07/2024] Open
Abstract
Purpose We aimed to develop Lyman-Kutcher-Burman (LKB) and multivariable normal tissue complication probability (NTCP) models to predict the risk of radiation-induced hypothyroidism (RIHT) in breast cancer patients. Materials and methods A total of 1,063 breast cancer patients who underwent whole breast irradiation between 2009 and 2016 were analyzed. Individual dose-volume histograms were used to generate LKB and multivariable logistic regression models. LKB model was fit using the thyroid radiation dose-volume parameters. A multivariable model was constructed to identify potential dosimetric and clinical parameters associated with RIHT. Internal validation was conducted using bootstrapping techniques, and model performance was evaluated using the area under the curve (AUC) and Hosmer-Lemeshow (HL) goodness-of-fit test. Results RIHT developed in 4 % of patients with a median follow-up of 77.7 months. LKB and multivariable NTCP models exhibited significant agreement between the predicted and observed results (HL P values > 0.05). The multivariable NTCP model outperformed the LKB model in predicting RIHT (AUC 0.62 vs. 0.54). In the multivariable model, systemic therapy, age, and percentage of thyroid volume receiving ≥ 10 Gy (V10) were significant prognostic factors for RIHT. The cumulative incidence of RIHT was significantly higher in patients who exceeded the cut-off values for all three risk predictors (systemic therapy, age ≥ 40 years, and thyroid V10 ≥ 26 %, P < 0.005). Conclusions Systemic therapy, age, and V10 of the thyroid were identified as strong risk factors for the development of RIHT. Our NTCP models provide valuable insights to clinicians for predicting and preventing hypothyroidism by identifying high-risk patients.
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Affiliation(s)
- Ye-In Park
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Min-Seok Cho
- Department of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi do, South Korea
| | - Jee Suk Chang
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
- BC Cancer - Vancouver Centre, Vancouver, British Columbia, Canada
| | - Jin Sung Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Yong Bae Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Ik Jae Lee
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Chae-Seon Hong
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Seo Hee Choi
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
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Jiang X, Zhang MJ, Zhang Y, Durvasula A, Inouye M, Holmes C, Price AL, McVean G. Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk. Nat Genet 2023; 55:1854-1865. [PMID: 37814053 PMCID: PMC10632146 DOI: 10.1038/s41588-023-01522-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 08/31/2023] [Indexed: 10/11/2023]
Abstract
The analysis of longitudinal data from electronic health records (EHRs) has the potential to improve clinical diagnoses and enable personalized medicine, motivating efforts to identify disease subtypes from patient comorbidity information. Here we introduce an age-dependent topic modeling (ATM) method that provides a low-rank representation of longitudinal records of hundreds of distinct diseases in large EHR datasets. We applied ATM to 282,957 UK Biobank samples, identifying 52 diseases with heterogeneous comorbidity profiles; analyses of 211,908 All of Us samples produced concordant results. We defined subtypes of the 52 heterogeneous diseases based on their comorbidity profiles and compared genetic risk across disease subtypes using polygenic risk scores (PRSs), identifying 18 disease subtypes whose PRS differed significantly from other subtypes of the same disease. We further identified specific genetic variants with subtype-dependent effects on disease risk. In conclusion, ATM identifies disease subtypes with differential genome-wide and locus-specific genetic risk profiles.
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Affiliation(s)
- Xilin Jiang
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
- Department of Statistics, University of Oxford, Oxford, UK.
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
| | - Martin Jinye Zhang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yidong Zhang
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Chinese Academy of Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Arun Durvasula
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Cambridge, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Michael Inouye
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Research Excellence, Department of Clinical Medicine, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- The Alan Turing Institute, London, UK
| | - Chris Holmes
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Department of Statistics, University of Oxford, Oxford, UK
- The Alan Turing Institute, London, UK
| | - Alkes L Price
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Gil McVean
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
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Solmunde E, Falstie-Jensen AM, Lorenzen EL, Ewertz M, Reinertsen KV, Dekkers OM, Cronin-Fenton DP. Breast cancer, breast cancer-directed radiation therapy and risk of hypothyroidism: A systematic review and meta-analysis. Breast 2023; 68:216-224. [PMID: 36868138 PMCID: PMC9996441 DOI: 10.1016/j.breast.2023.02.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 02/17/2023] [Indexed: 02/21/2023] Open
Abstract
OBJECTIVE Breast cancer and breast cancer-directed radiation therapy (RT) may increase the risk of late effects, such as hypothyroidism. We conducted a systematic review and meta-analysis to investigate the association between breast cancer, RT, and risk of hypothyroidism in breast cancer survivors. METHODS Through February 2022, we searched PubMed, EMBASE, and references of relevant articles, to identify papers on breast cancer and breast cancer-directed RT and subsequent risk of hypothyroidism. Articles were screened by title and abstract and reviewed for eligibility. We used a pre-formed data extraction sheet and identified key design elements that could potentially introduce bias. The main outcome was the confounder-adjusted relative risk (RR) of hypothyroidism in breast cancer survivors versus women without breast cancer, and in breast cancer survivors according to the receipt of RT to the supraclavicular lymph nodes. We used a random-effects model to calculate pooled RRs and associated 95% confidence intervals (95% CI). RESULTS From 951 papers screened by title and abstract, 34 full-text papers were reviewed for eligibility. We included 20 studies published between 1985 and 2021-19 were cohort studies. Compared with women without breast cancer, the pooled RR of hypothyroidism in breast cancer survivors was 1.48 (95% CI: 1.17, 1.87), with highest risk associated with RT to the supraclavicular region (RR = 1.69, 95% CI: 1.16, 2.46). The most important limitations of the studies were small sample size yielding estimates with low precision, and lack of data on potential confounders. CONCLUSION Breast cancer and radiation therapy to the supraclavicular lymph nodes is associated with an increased risk of hypothyroidism.
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Affiliation(s)
- Elisabeth Solmunde
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Denmark
| | - Anne Mette Falstie-Jensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Denmark
| | - Ebbe L Lorenzen
- Department of Oncology, Odense University Hospital, Denmark; Institute of Clinical Research, University of Southern Denmark, Denmark
| | - Marianne Ewertz
- Department of Clinical Research, University of Southern Denmark, Denmark
| | - Kristin V Reinertsen
- National Advisory Unit on Late Effects After Cancer Treatment, Department of Oncology, Oslo University Hospital, Norwegian Radium Hospital, Norway
| | - Olaf M Dekkers
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Denmark; Department of Epidemiology, Leiden University Medical Center, Netherlands
| | - Deirdre P Cronin-Fenton
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Denmark.
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Zhao XR, Fang H, Jing H, Tang Y, Song YW, Liu YP, Jin J, Chen B, Qi SN, Tang Y, Lu NN, Li N, Li YX, Wang SL. Radiation-Induced Hypothyroidism in Patients With Breast Cancer After Hypofractionated Radiation Therapy: A Prospective Cohort Study. Int J Radiat Oncol Biol Phys 2023; 115:83-92. [PMID: 36306978 DOI: 10.1016/j.ijrobp.2022.04.052] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/04/2022] [Accepted: 04/07/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE Our objective was to assess the incidence and risk factors of radiation-induced hypothyroidism (RHT) after adjuvant hypofractionated radiation therapy (RT) in patients with breast cancer. METHODS AND MATERIALS Eligible patients with breast cancer who were treated with hypofractionated RT were prospectively evaluated. Thyroid function tests were performed before and at regular times after RT. RHT was defined as twice elevated serum thyroid-stimulating hormone (TSH) with decreased or normal free thyroxin after RT. The patient, tumor, and treatment factors were evaluated for possible associations with the risk of RHT. RESULTS Five hundred patients were analyzed. All patients underwent chest wall/breast with or without regional nodal irradiation. Among them, 369 (73.8%) patients received supraclavicular nodal radiation (SCRT). Eighty-two (16.4%) patients had elevated TSH before RT. At a median follow-up of 21.9 months, 131 (26.2%) patients developed RHT, and 59 (11.8%) patients received thyroid hormone-replacement therapy. Patients with SCRT had a significantly increased 2-year cumulative incidence of RHT compared with patients without SCRT (31.5% and 11.4%, P<.001). The peak incidence of RHT occurred around 6 to 12 months after RT. Multivariate analysis revealed that elevated baseline TSH and increased thyroid mean dose (Dmean) were independent risk factors for developing RHT. After adjusted for baseline TSH, there was a nonlinear relationship between thyroid Dmean and the risk of RHT. Dmean >21 Gy was the threshold value for predicting RHT (hazard ratio, 2.2; P<.001). CONCLUSIONS The incidence of RHT was high in patients with breast cancer. Thyroid function test should be started no later than 6 months after RT. We recommend that the Dmean of the thyroid should be kept lower than 21 Gy for hypofractionated RT.
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Affiliation(s)
- Xu-Ran Zhao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hui Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong-Wen Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yue-Ping Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu-Nan Qi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning-Ning Lu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye-Xiong Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Shu-Lian Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Karimijavid MR, Pashaki AS, Borzouei S, Khanlarzadeh E, Gholami MH, Nikzad S. Hypothyroidism Evaluation after Radiotherapy of Breast and Supraclavicular in Patients with Breast Cancer. Adv Biomed Res 2023; 12:44. [PMID: 37057230 PMCID: PMC10086662 DOI: 10.4103/abr.abr_218_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 07/04/2022] [Accepted: 07/11/2022] [Indexed: 04/15/2023] Open
Abstract
Background This study aims to evaluate the risk of hypothyroidism (HT) after radiotherapy (RT) of breast and supraclavicular in patients with breast cancer (BC). Materials and Methods In a historical cohort study, the records of all patients with BC who had been referred to the Mahdieh radiotherapy Center of Hamadan from 2017 to 2019 were reviewed. Demographic characteristics, clinical information, previous and current used treatment methods (surgery, radiotherapy, chemotherapy), number of RT sessions and doses, and HT (TSH >5 mIU/L) were extracted from the patient's documents. Data were analyzed using SPSS software version 16. Results Out of 304 patients referred to the Center, 266 patients were investigated. The mean TSH was 6.3 ± 7.9 ml/L (1.5 to 65.4). Approximately half of the patients were in Stage 2 of the disease. 37 (16.4%) patients were diagnosed with HT, of which 8.8% were clinical, and 7.5% were subclinical. The mean total dose of HT patients (5621.62 ± 491.67) was significantly higher than other patients (5304.76 ± 937.98). 21 patients (56.8%) in Stage 3 and 4 and 16 (43.2%) patients in Stages 1 and 2 had HT (P = 0.006). Spearman correlation coefficient showed that there was a significant relationship between total dose and TSH hormone (r = 0.624), the number of RT sessions with TSH hormone (r = 0.237), and total dose with T4 hormone (r = -0.232). Conclusion The findings of this study showed that the risk of HT increases significantly in patients with BC who undergo RT of breast and supraclavicular. Patients with higher stage, more radiation, and more RT sessions are at higher risk of HT.
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Affiliation(s)
| | - Abdolazim S. Pashaki
- Department of Radiooncology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Shiva Borzouei
- Clinical Research Development Unit, Shahid Beheshti Hospital, Hamadan University of Medical Science, Hamadan, Iran
| | - Elham Khanlarzadeh
- Department of Community Medicine, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | | | - Safoora Nikzad
- Department of Medical Physics, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
- Address for correspondence: Dr. Safoora Nikzad, Department of Medical Physics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran. E-mail:
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McVicker L, Cardwell CR, McIntosh SA, McMenamin ÚC. Cancer-specific mortality in breast cancer patients with hypothyroidism: a UK population-based study. Breast Cancer Res Treat 2022; 195:209-221. [PMID: 35908274 PMCID: PMC9374643 DOI: 10.1007/s10549-022-06674-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 07/04/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE Epidemiological studies have indicated a higher prevalence of hypothyroidism in breast cancer patients, possibly related to shared risk factors and breast cancer treatments. However, few studies have evaluated how hypothyroidism impacts survival outcomes in breast cancer patients. We aimed to determine the association between hypothyroidism and breast cancer-specific and all-cause mortality. METHODS We conducted a population-based study using the Scottish Cancer Registry to identify women diagnosed with breast cancer between 2010 and 2017. A matched comparison cohort of breast cancer-free women was also identified. Using hospital diagnoses and dispensed prescriptions for levothyroxine, we identified hypothyroidism diagnosed before and after breast cancer diagnosis and determined associations with breast cancer-specific and all-cause mortality. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI) adjusted for potential confounders. RESULTS A total of 33,500 breast cancer patients were identified, of which 3,802 had hypothyroidism before breast cancer diagnosis and 565 patients went on to develop hypothyroidism after. Breast cancer patients had higher rates of hypothyroidism compared with cancer-free controls (HR 1.14, 95% CI 1.01-1.30). Among breast cancer patients, we found no association between hypothyroidism (diagnosed before or after) and cancer-specific mortality (before: HR 0.99, 95% CI 0.88-1.12, after: HR 0.97, 95% CI 0.63-1.49). Similar associations were seen for all-cause mortality. CONCLUSION In a large contemporary breast cancer cohort, there was little evidence that hypothyroidism, either at diagnosis or diagnosed after breast cancer, was associated with cancer-specific or all-cause mortality.
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Affiliation(s)
- Lauren McVicker
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
| | | | - Stuart A McIntosh
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, UK
- Breast Surgery Department, Belfast City Hospital, Belfast Health and Social Care Trust, Belfast, Northern Ireland, UK
| | - Úna C McMenamin
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
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Park J, Kim C, Ki Y, Kim W, Nam J, Kim D, Park D, Jeon H, Kim DW, Joo JH. Incidence of hypothyroidism after treatment for breast cancer: A Korean population-based study. PLoS One 2022; 17:e0269893. [PMID: 35709221 PMCID: PMC9202953 DOI: 10.1371/journal.pone.0269893] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 05/29/2022] [Indexed: 11/19/2022] Open
Abstract
This Korean population-based study aimed to describe the patterns of hypothyroidism after adjuvant radiation therapy (RT) in patients with breast cancer. The Korean Health Insurance Review and Assessment Service database was searched for patients with invasive breast carcinomas. We calculated the cumulative incidence and incidence rates per 1,000 person-years of subsequent hypothyroidism and compared them using the log-rank test and the Cox proportional hazards model. Between 2007 and 2018, 117,135 women diagnosed with breast cancer with a median follow-up time of 4.6 years were identified. The 8-year incidence of hypothyroidism was 9.3% in patients treated with radiation and 8.6% in those treated without radiation (p = 0.002). The incidence rates per 1,000 person-years in the corresponding treatment groups were 6.2 and 5.7 cases, respectively. The hazard ratio (HR) in patients receiving RT was 1.081 (95% confidence interval [CI], 1.013–1.134; p = 0.002). After mastectomy, RT showed a trend toward a higher risk of hypothyroidism (HR = 1.248; 95% CI, 0.977–1.595; p = 0.076). Our study provides one of the largest population-based data analyses regarding the risk of hypothyroidism among Korean patients with breast cancer. The adjusted risk for patients treated with RT exceeded that for patients with breast cancer treated without RT. The effect was evident immediately after treatment and lasted up to approximately 9 years.
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Affiliation(s)
- Jongmoo Park
- Department of Radiation Oncology, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Choongrak Kim
- Department of Statistics, Pusan National University, Busan, Korea
| | - Yongkan Ki
- Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, Korea
- Department of Radiation Oncology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Wontaek Kim
- Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, Korea
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
| | - Jiho Nam
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
| | - Donghyun Kim
- Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, Korea
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
| | - Dahl Park
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
| | - Hosang Jeon
- Department of Radiation Oncology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Dong Woon Kim
- Department of Radiation Oncology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Ji Hyeon Joo
- Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, Korea
- Department of Radiation Oncology, Pusan National University Yangsan Hospital, Yangsan, Korea
- * E-mail:
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Kohnepoushi P, Dehghanbanadaki H, Mohammadzedeh P, Nikouei M, Moradi Y. The effect of the polycystic ovary syndrome and hypothyroidism on the risk of fibrocystic breast changes: a meta-analysis. Cancer Cell Int 2022; 22:125. [PMID: 35305643 PMCID: PMC8933953 DOI: 10.1186/s12935-022-02547-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 03/11/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractThis meta-analysis aimed to determine the pooled association between polycystic ovary syndrome (PCOS), hypothyroidism, and fibrocystic breast changes. We searched important databases, including PubMed (Medline), Scopus, Web of Science, and Embase to retrieve all relevant studies published from 1990 to April 2021. The bias risk of selected articles was assessed based on the JBI checklist. Our search strategy yielded a total of 487 articles from the international databases. After screening their full-texts, 6 articles met the inclusion criteria and were considered for meta-analysis. The effect of PCOS on the incidence of fibrocystic breast changes was 2.49 (95% CI 1.85–3.34). Also, the effect of hypothyroidism on the incidence of fibrocystic breast changes was 1.90 (95% CI 0.92–3.93). The results showed that women with PCOS were at higher risks to develop fibrocystic breast changes.
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Mireștean CC, Iancu RI, Iancu DPT. An Underestimated Toxicity Radiation-Induced Hypothyroidism in Patients Multimodally Treated for Breast Cancer. J Clin Med 2021; 10:jcm10235503. [PMID: 34884204 PMCID: PMC8658069 DOI: 10.3390/jcm10235503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/15/2021] [Accepted: 11/20/2021] [Indexed: 11/16/2022] Open
Abstract
Radiation therapy is part of the therapeutic arsenal for breast cancer, whether it is adjuvant treatment after lumpectomy or radical mastectomy, or it is used as a palliative option in the case of metastatic or recurrent disease. Significant advances in diagnostic and therapeutic stratification of breast cancers have significantly prolonged survival, even in the metastatic stage. Exposure of patients during the course of the disease in a multidisciplinary therapeutic approach including chemotherapy, hormone therapy, targeted anti-HER therapies or CDK4/6 inhibitors had led to improved survival but with the price of additional toxicity. Among them, hypothyroidism is a well-known consequence of external radiation therapy, especially in the case of cervical region irradiation, including supraclavicular and infra-clavicular nodal levels. In this situation, the thyroid gland is considered as an organ at risk (OAR) and receives a significant dose of radiation. Subclinical hypothyroidism is a common endocrine disorder characterized by elevated TSH levels with normal levels of FT4 (free T4) and FT3 (free T3), and as a late effect, primary hypothyroidism is one of the late effects that significantly affects the quality of life for patients with breast cancer receiving multimodal treatment. Hypothyroidism has a significant impact on quality of life, most often occurring as late clinical toxicity, secondary to thyroid irradiation at doses between 30 and 70 Gy. Dose-volume parameters of irradiation, gland function at the beginning of the treatment and associated systemic therapies may be factors that alter thyroid radio-sensitivity and affect thyroid gland tolerance. In the case of head and neck tumor pathology, in which doses of >50 Gy are routinely used, the thyroid gland is generally considered as an OAR, the rate of radio-induced hypothyroidism being estimated at rates of between 20% and 52%. For breast cancer, the thyroid is often neglected in terms of dosimetry protection, the rate of late dysfunction being 6–21%.
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Affiliation(s)
- Camil Ciprian Mireștean
- Department of Oncology and Radiotherapy, University of Medicine and Pharmacy Craiova, 200349 Craiova, Romania;
- Department of Surgery, Railways Clinical Hospital Iasi, 700506 Iași, Romania
| | - Roxana Irina Iancu
- Oral Pathology Department, Faculty of Dental Medicine, “Gr. T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania
- Department of Clinical Laboratory, “St. Spiridon” Emergency Universitary Hospital, 700111 Iași, Romania
- Correspondence: ; Tel.: +40-232-301-603
| | - Dragoș Petru Teodor Iancu
- Oncology and Radiotherapy Department, Faculty of Medicine, “Gr. T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania;
- Department of Radiation Oncology, Regional Institute of Oncology, 700483 Iași, Romania
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Effect of change in neck position on thyroid dose and volume in supraclavicular irradiation for breast cancer using conformal technique. JOURNAL OF RADIOTHERAPY IN PRACTICE 2021. [DOI: 10.1017/s1460396920001144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractBackground and aim:Radiation exposure to the thyroid gland during breast irradiation can lead to hypothyroidism and this can impact on the quality of life. The aim of this study was to analyse if there is any difference in the radiation dose received by the thyroid gland during supraclavicular irradiation for breast cancer, with two different neck positions—straight or when the head is turned to the contralateral side to the breast being treated, when using a conformal technique.Materials and methods:All patients who received chest wall/breast and supraclavicular irradiation for breast cancer in 2019 in our department were divided into two groups based on the neck position as SN (neck positioned straight) and TN (neck tilted to contralateral side). The volume of thyroid gland, the radiation dose and volume parameters for Dmax, Dmean, and V5 to V40 of the thyroid were tabulated.Results:There were 72 patients included in the study with a mean age of 59 years, with 39 in the SN group and 33 in the TN group. There was no significant difference in thyroid volume between the two groups. Dmean, V15, V20, V25, V30 and V35 were significantly lower in tilted neck patients as compared to straight neck patients.Conclusion:Neck positioned to the contralateral side of the breast primary may be recommended for conformal CT-based radiation planning.
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