A Review of Breast Development in Cisgender Women and Implications for Transgender Women

Objective: The objective of this article is to describe the hormonal pathways required for breast development in cisgender women and to review the current available literature describing breast growth and breast cancer risk in transgender women.Methods: Literature review and discussion.Results: Early mammary tissue development occurs prenatally. This process is hormone-independent and occurs similarly in males and females. Breast tissue is quiescent until puberty, at which time surging estrogen levels in cisgender girls mediate breast development and growth. Adult breast tissue composition further evolves in cisgender women during pregnancy, lactation, and menopause, revealing the ever-changing interplay between breast structure and hormonal environment.Conclusion: Breast growth is a significant physical endpoint in the hormonal treatment of transgender women. Transgender hormone regimens, which typically pair an estrogen with an anti-androgen, can help achieve this goal.     

Automatic Detection and Classification of Mammograms Using Improved Extreme Learning Machine with Deep Learning

Background and objectiveBreast cancer, the most intrusive form of cancer affecting women globally. Next to lung cancer, breast cancer is the one that provides a greater number of cancer deaths among women. In recent times, several intelligent methodologies were come into existence for building an effective detection and classification of such noxious type of cancer. For further improving the rate of early diagnosis and for increasing the life span of victims, optimistic light of research is essential in breast cancer classification. Accordingly, a new customized method of integrating the concept of deep learning with the extreme learning machine (ELM), which is optimized using a simple crow-search algorithm (ICS-ELM). Thus, to enhance the state-of-the-art workings, an improved deep feature-based crow-search optimized extreme learning machine is proposed for addressing the health-care problem. The paper pours a light-of-research on detecting the input mammograms as either normal or abnormal. Subsequently, it focuses on further classifying the type of abnormal severities i.e., benign type or malignant.Materials and methodsThe digital mammograms for this work are taken from the Curated Breast Imaging Subset of DDSM (CBIS-DDSM), Mammographic Image Analysis Society (MIAS), and INbreast datasets. Herein, the work employs 570 digital mammograms (250 normal, 200 benign and 120 malignant cases) from CBIS-DDSM dataset, 322 digital mammograms (207 normal, 64 benign and 51 malignant cases) from MIAS database and 179 full-field digital mammograms (66 normal, 56 benign and 57 malignant cases) from INbreast dataset for its evaluation. The work utilizes ResNet-18 based deep extracted features with proposed Improved Crow-Search Optimized Extreme Learning Machine (ICS-ELM) algorithm.ResultsThe proposed work is finally compared with the existing Support Vector Machines (RBF kernel), ELM, particle swarm optimization (PSO) optimized ELM, and crow-search optimized ELM, where the maximum overall classification accuracy is obtained for the proposed method with 97.193% for DDSM, 98.137% for MIAS and 98.266% for INbreast datasets, respectively.ConclusionThe obtained results reveal that the proposed Computer-Aided-Diagnosis (CAD) tool is robust for the automatic detection and classification of breast cancer.     

钼靶和超声检查在乳腺癌临床诊断的准确性的比较分析

摘要 目的：比较与分析钼靶和超声检查在乳腺癌临床诊断的准确性。方法：2018年8月到2021年1月选择在本院进行诊治的乳腺肿瘤患者110例作为研究对象,所有患者都给予钼靶和超声检查,记录影像学特征并判断诊断价值。结果：在110例患者中,病理诊断为乳腺良性肿瘤76例、乳腺癌34例。恶性组钼靶的分叶征、钙化、大角征、毛刺征等比例高于良性组,病灶大小也高于良性组(P<0.05)。恶性组超声的形态不规则、边缘不光整、高回声晕、回声衰减、微钙化等比例高于良性组(P<0.05)。钼靶乳腺影像报告及数据系统(Breast imaging report and data system,BI-RADS)判断为乳腺良性肿瘤72例,乳腺癌38例;超声BI-RADS判断为乳腺良性肿瘤75例,乳腺癌35例,钼靶鉴别诊断乳腺癌的敏感性为93.4%,特异性为97.1%,准确性为94.5%;超声鉴别诊断乳腺癌的敏感性为98.7%,特异性为100.0%,准确性为99.1%。多因素logistic回归分析显示病灶大小、分叶征、回声衰减、毛刺征为导致误诊的重要因素(P<0.05)。结论：乳腺癌在钼靶和超声检查中都有明显的征象特征,超声诊断的准确性更高,病灶大小、分叶征、回声衰减、毛刺征为影响诊断效果的很重要因素。     

Association of Epstein Barr Virus Infection (EBV) with Breast Cancer in Rural Indian Women

Introduction

Breast cancer is the most common malignancy affecting females worldwide but conventional risk factors are able to explain only a small proportion of these cases. A possible viral etiology for breast cancer has been proposed and Epstein-Barr Virus (EBV) is a widely researched candidate virus. The aim of the present study, first one of its kind from India, was to determine if there is a greater association of EBV infection with breast cancer patients as compared to patients with benign breast diseases.

Methods

We looked for expression of Epstein-Barr Virus Nuclear Antigen-1 (EBNA-1) in breast cancer tissue specimens by employing immunohistochemistry (IHC). We also measured levels of anti-EBNA-1 Immunoglobulin (IgG) antibodies in stored sera of these patients using commercial Enzyme linked Immunosorbent Assay (ELISA) kit. Patients with benign breast diseases were used as a comparison group for both immunohistochemical and serological analysis.

Results

58 cases of malignant breast disease and 63 of benign breast disease (controls) were included in the study. Using manufacturer determined cut-off of 3 IU/ml, 50/55 tested (90.9%) cases and 27/33 tested (81.8%) controls were seropositive for anti-EBNA-1 IgG. Mean antibody levels were significantly higher for cases (54.22 IU/ml) as compared to controls (18.68 IU/ml). IHC for EBNA-1 was positive in 28/51 cases (54.9%). No IHC positivity was noted in the tested 30 controls. Our results show that EBNA-1 expression is seen in a significant proportion of breast cancer tissue specimens from rural India and as compared to patients with benign breast diseases these patients also have a higher immunological response against EBNA-1.     

A novel metformin derivative,HL010183, inhibits proliferation and invasion of triple-negative breast cancer cells

Mounting evidence suggests that metformin (N,N-dimethylbiguanide), a widely prescribed drug for the treatment of type II diabetes, exerts an anti-tumor effect on several cancers including breast cancer. Breast cancer has been estimated as one of the most commonly diagnosed types of cancer among women. In particular, triple-negative breast cancers are associated with poor prognosis and metastatic growth. In the present study, we synthesized a novel metformin derivative 5 (HL010183) and metformin salts, 9a, 9b, and 9c (metformin gamma-aminobutyric acid (GABA) salt, metformin pregabalin salt and metformin gabapentin salt), which exerted more potent inhibitory effects on the proliferation and invasiveness of Hs578T triple-negative breast carcinoma cells than metformin. Importantly, 5 showed approximately 100-fold more potent effects compared to metformin. In a triple-negative breast cancer xenograft model, 5 showed a comparable degree of inhibitory effect on in vivo tumor growth at the 100 mg/kg dose to that of metformin at 500 mg/kg. Our results clearly demonstrate that 5 exerts a potent anti-tumor effect both in vitro and in vivo, paving the way for a strategy for treatment of triple-negative breast cancer.     

Fine needle aspiration cytology of mammary carcinoma with choriocarcinomatous features: a report of 2 cases

BACKGROUND: Neoplasms of the breast containing multinucleated giant cells (MGCs) include both benign and malignant entities, such as benign soft tissue giant cell tumors, atypical fibrous histiocytoma, sarcomas, metaplastic carcinomas and the uncommon carcinomas containing osteoclast-like giant cells (OGC). Breast carcinoma with choriocarcinomatous features (BCCF) is a distinct variant of breast cancer. CASES: We report the cytologic features, pathologic findings and immunohistochemical profile in 2 cases of this unusual variant of breast carcinoma. Two women aged 53 and 50 years women presented with a history of left and right breast lump but no local lymphadenopathy, respectively. Fine needle aspiration cytology (FNAC) of both cases revealed abundant MGC with highly pleomorphic tumor cells in the hemorrhagic necrotic background. Both of the cases were histopathologically diagnosed as BCCF. CONCLUSION: Choriocarcinomatous differentiation with multinucleated syncytiotrophoblast-like giant cells is extremely rare in breast tumors. Although rare, FNAC of breast cancer with pleomorphic MGC requires careful search for differential diagnosis; breast carcinoma with giant cell features (choriocarcinomatous features, OGC features) must be differentiated from metastatic tumors and other breast lesions containing giant cells.     

Meta-analysis of transforming growth factor β receptor I 6A/9A gene polymorphism and breast cancer risk: the picture remains murky

Abstract

Breast cancer is currently the second most common cancer worldwide and the most frequent malignant tumor among women. However, the exact contribution of various allelic alterations remains unclear. This meta-analysis was conducted to evaluate the association of the transforming growth factor β receptor I 6A/9A (TβR-I 6A/9A) gene polymorphism with breast cancer risk. Relevant studies were identified from PubMed and Cochrane Library on 1 October 2013, and eligible reports were recruited and synthesized. Eleven reports that included a total of 12 studies were recruited into this meta-analysis for the association of the TβR-I 6A/9A gene polymorphism and breast cancer risk. The results indicated that overall the TβR-I 6A allele was associated with breast cancer risk (OR?=?1.33, 95% CI: 1.02–1.73, p?=?0.04). However, the TβR-I 6A/6A and 9A/9A genotypes were not associated with an increased risk of developing breast cancer (6A/6A: OR?=?1.71, 95% CI: 0.95–3.08, p?=?0.07; 9A/9A: OR?=?0.82, 95% CI: 0.66–1.02, p?=?0.08). In the Caucasian population, no such association could be established. In conclusion, the TβR-I 6A allele might represent a risk factor for breast cancer risk, but significantly larger data sets from a larger number of studies, including studies that allow ethnicity, subgroup analysis and environmental impact evaluation, are required to maximize statistical significance and meta-analysis robustness.     

Outpatient screening and its place in better detection of breast tumors

The authors state their opinion on this problem by analyzing their 5-year use of their programme specially developed for detection of breast disease, mainly cancer, among females visiting specialized rooms of non-mammological profiles (gastroenterology, endocrinology, rheumatology, pulmonology, neurology, cardiology, hematology, nephrology, etc.) in the consulting polyclinics of regional (territorial) hospitals and large city hospital-polyclinic complexes. In this period, mammographic studies were made in 9169 women included into a breast cancer-risk group. Of them 1370 young female patients with well-developed glandular tissue that makes mammographic diagnosis of presumed masses difficult underwent breast ultrasonography. Abnormalities were found in 6092 (66.44%) patients. Breast cancer and nodal benign masses (including cysts and fibroadenomas) were detected in 278 (3.03%) and 669 (7.30%) women, respectively. The detection rates of unpalpable breast malignant and benign masses carcinomas were 0.4 and 3.03%, respectively. The findings allow the authors to recommend their proposed screening programme for wide use in large regional (territoreal), city, and town polyclinic complexes.     

Fuzzy knowledge- and data-based models of damage to reeds by grazing of Greylag Geese

This paper describes a fuzzy and neuro-fuzzy approach to modelling feeding intensity of Greylag Geese on reed. As a consequence of the presence of some non-measurable or random factors and the heterogeneity of reed and goose behaviour, the relationships between the model variables are often not well known and the data collected have a high degree of uncertainty. A fuzzy approach was selected which can be applied with vague knowledge and data of high uncertainty. Fuzzy logic can be used to handle inexact reasoning in knowledge-based models with fuzzy rules and fuzzy sets to handle uncertainty in data. The neural network technique was applied to develop the fuzzy data-based models. For training, several dataset combinations of three lakes in North Germany were used. The generalisation capability of these models was checked for other lakes. The performance of these models was compared with the results of the fuzzy knowledge-based model developed in the next step. The knowledge base of this model contains the Mamdani-type rules formulated by a domain expert. All models were implemented using the Fuzzy Logic Toolbox of MATLAB^®.     

Does consanguinity lead to decreased incidence of breast cancer?

Background: In the Middle East region, consanguinity remains to be a central feature where it has shown an increasing trend. Breast cancer is an extremely complex disease, characterized by a progressive multistep process caused by interactions of both environmental and genetic factors. Aim: The aim of this study was to examine the possible effect of consanguinity on the risk of breast cancer in a population with a high rate of consanguinity and find the associated risk-modifying factors. Subjects and methods: The study included 167 Qatari and other Arab expatriates women with breast cancer and 341 age and ethnicity matched control women. A questionnaire that included the socio-demographic information, type of consanguinity, medical history, life style habits, dietary intake and tumor grade was designed to collect, the information of cases and controls. A total number of 214 breast cancer patients were approached and 167 cases completed the questionnaires with a response rate of 78%. Of the 417 healthy women who agreed to participate in this study, 341 responded to the questionnaire (81.8%). Results: The study revealed that the rate of parental consanguinity was lower in breast cancer patients (24%) than in controls (32.3%) (p = 0.062). Female controls were slightly younger (46.5 ± 11.9) than breast cancer patients (48.4 ± 10.7). Breast cancer incidence was significantly higher in Qatari women (34.1%) compared to other Arab women (65.9%) (p = 0.034). A significant difference was noted only in occupation of the studied women between cases and controls (p < 0.001). Overweight (46.7%) and obesity (32.9%) were significantly higher in female breast cancer patients compared to controls (p = 0.028). Overall, the mean coefficient of consanguinity was lower in breast cancer patients (0.014) than in controls (0.018) (p = 0.0125). Family history of breast cancer was significantly more often in breast cancer patients (14.4%) than in controls (6.2%) (p = 0.002). However, the family history of breast cancer was more often positive in cases of non-consanguineous parents (15.7%) than cases of consanguineous parents (10.0%). Conclusion: The present study revealed the lack of association between of breast cancer and the parental consanguinity in Arab women residing in Qatar. The family history of breast cancer and the body mass index (BMI) are highly associated with breast cancer.     

剪切波弹性成像定量参数对乳腺肿块良恶性的鉴别价值及其与组织Ki-67和C-erbB-2表达的关系研究

摘要 目的：探讨剪切波弹性成像（SWE）定量参数对乳腺肿块良恶性的鉴别价值,分析其与组织Ki-67和表皮生长因子受体2（C-erbB-2）表达的关系。方法：选择2021年1月至2022年1月于湖南省妇幼保健院超声医学科行乳腺SWE检查的106例乳腺肿块患者,根据术后或组织活检的病理检查结果分为恶性组59例和良性组47例。对比恶性组和良性组SWE参数的差异以及不同Ki-67和C-erbB-2表达乳腺癌病灶SWE参数的差异。Spearman分析乳腺癌病灶SWE参数与乳腺癌组织Ki-67和C-erbB-2表达的相关性。绘制受试者工作特征（ROC）曲线分析乳腺病灶SWE参数鉴别乳腺肿块良恶性的价值。结果：恶性组AE-max、Shell1 E _max 、Shell2 E _max 、Shell3 E _max 高于良性组（P＜0.05）。联合AE-max、Shell1 E _max 、Shell2 E _max 、Shell3 E _max 鉴别乳腺肿块良恶性的曲线下面积为0.841,高于单独参数鉴别的0.657、0.599、0.642、0.609（P＜0.05）。Ki-67阳性组、C-erbB-2阳性组AE-max、Shell1 E _max 、Shell2 E _max 、Shell3 E _max 高于阴性组（P＜0.05）。乳腺癌病灶AE-max、Shell1 E _max 、Shell2 E _max 、Shell3 E _max 与Ki-67和C-erbB-2表达均呈正相关（P＜0.05）。结论：乳腺恶性肿块与良性肿块的SWE参数存在明显差异,且与乳腺癌组织的Ki-67、C-erbB-2阳性表达有关,乳腺SWE检查有助于鉴别乳腺肿块良恶性。     

Selection of DNA aptamers for breast cancer

A method of selection of DNA aptamers to breast tumor tissue based on the use of postoperative material has been developed. Breast cancer tissues were used as the positive target; the negative targets included benign tumor tissue, adjacent healthy tissues, breast tissues from mastopathy patients, and also tissues of other types of malignant tumors. During selection a pool of DNA aptamers demonstrating selective binding to breast cancer cells and tissues and insignificant binding to breast benign tissues has been obtained. These DNA aptamers can be used for identification of protein markers, breast cancer diagnostics, and targeted delivery of anticancer drugs.     

超声造影联合超声弹性成像组织弥散定量分析在乳腺癌诊断中的应用

摘要 目的：探讨超声造影联合超声弹性成像组织弥散定量分析在乳腺癌诊断中的应用价值。方法：2019年1月至2020年5月选择在本院诊治的乳腺肿瘤患者148例,所有患者都给予超声造影联合超声弹性成像组织弥散定量分析,记录影像学特征。结果：在148例患者中,病理诊断为乳腺癌32例(恶性组),良性乳腺肿瘤116例(良性组)。良性组与恶性组的超声病灶形状、边缘、回声、微钙化等特征对比差异有统计学意义(P<0.05)。恶性组的超声造影增强模式、强度与良性组对比差异都有统计学意义(P<0.05)。恶性组的造影灌注参数曲线下面积(Area under the curve,AUC)、峰值强度(Peak intensity,PI)、上升支斜率(Wash in slope,WIS)值都高于良性组,达峰时间(Time To Peak,TTP)值低于良性组,对比差异都有统计学意义(P<0.05)。恶性组的组织弥散定量参数蓝色区域面积百分比(area ratio,%AREA)低于良性组,标准差(standard deviation,SD)、应变均值(mean,MEAN)值高于良性组,对比差异都有统计学意义(P<0.05)。结论：超声造影联合超声弹性成像组织弥散定量分析在乳腺癌诊断中的应用作为一种经济快捷、实时无创、重复性好的检查方法,能够定量评估乳腺癌的影像学特征,可为乳腺癌的临床治疗提供更多有价值的信息。     

Noninvasive Evaluation of Nuclear Morphometry in Breast Lesions Using Multispectral Diffuse Optical Tomography

Breast cancer is the most prevalent cancer and the main cause of cancer-related death in women worldwide. There are limitations associated with the existing clinical tools for breast cancer detection and alternative modalities for early detection and classification of breast cancer are urgently needed. Here we describe an optical imaging technique, called multispectral diffuse optical tomography (DOT), and demonstrate its ability of non-invasively evaluating nuclear morphometry for differentiating benign from malignant lesions. Photon densities along the surface of the breast were measured to allow for the extraction of three statistical parameters including the size, elongation and density of nuclei inside the breast tissue. The results from 14 patients (4 malignant and 10 benign lesions) show that there exist significant contrasts between the diseased and surrounding normal nuclei and that the recovered nuclear morphological parameters agree well the pathological findings. We found that the nuclei of cancer cells were less-spherical compared with those of surrounding normal cells, while the nuclear density or volume fraction provided the highest contrast among the three statistical parameters recovered. This pilot study demonstrates the potential of multispectral DOT as a cellular imaging method for accurate determination of breast cancer.     

Body composition and breast cancer in postmenopausal women: a Danish prospective cohort study

Objective: To assess the importance of body fat mass (BFM) and fat free mass (FFM) for the established positive association between BMI and breast cancer among post‐menopausal women. Research Methods and Procedures: A prospective cohort of 23,788 postmenopausal women included in the Danish study Diet, Cancer, and Health during 1993 to 1997 was linked to the Danish Cancer Registry to identify all cases of breast cancer occurring during 1993 to 2002. Breast cancer incidence rate ratios for anthropometric measurements with adjustment for known risk factors for breast cancer were calculated by Cox regression analyses. Results: Among the most commonly used anthropometric measurements, BMI was positively associated with breast cancer among never users of hormone replacement therapy (HRT). By splitting BMI into two indices, BFM index and FFM index, we found that the incidence rate ratio with each 1 kg/m² among never users of HRT was 0.98 (95% confidence interval, 0.93 to 1.03) for BFM index and 1.12 (95% confidence interval, 1.00 to 1.26) for FFM index after mutual adjustment. Discussion: The finding for BMI was in accordance with previous findings. Our results indicate that the FFM component of BMI may play a role for development of breast cancer among never users of HRT.     

Breast pathology and reduction mammaplasty

Breast cancer is the tumor with the highest prevalence and incidence in women. Reduction mammaplasty is one of the most common procedures performed in Brazil by the plastic surgeon, and it is not uncommon for the surgeon to find a breast tumor during the operation or afterward, when the histopathological report is received. In this study, 2488 patient files were reviewed retrospectively. All patients had undergone reduction mammaplasty at the senior author's private clinic (the Ivo Pitanguy Clinic) between January of 1957 and December of 2002. Resected breast tissue was examined histopathologically. The objective of this study was to verify the occurrence of breast carcinoma found accidentally postoperatively. The senior author's team performed all of the operations and the same pathologist performed every histopathological examination. The histopathological test results were divided into two groups: benign lesions and tumors. The highest frequency of breast pathology was benign lesions, and of them, 80.8 percent involved fibrocystic changes and fibroadiposity. The tumor group was subdivided into benign tumors and malignant tumors. Among the benign tumors, fibroadenoma was the one most common, in 2.2 percent. The frequency of malignant tumors was 0.5 percent of all patients. Most of the histopathological lesions were found in patients between 30 and 50 years of age. A reduced number of patients had no lesions (3.7 percent). Lack of a pathological investigation or a cursory or hurried examination of any mammary tissue by the pathologist may overlook important lesions. In the analysis of these statistics, the concept of normal breast tissue was questioned.     

彩色多普勒超声应用于乳腺癌诊断及其新辅助化疗疗效评价的临床价值研究

目的:探讨彩色多普勒超声对乳腺良恶性肿瘤的鉴别诊断价值以及其对乳腺癌患者新辅助化疗疗效的评估价值。方法:选取2017年1月到2018年11月期间在我院接受治疗的乳腺癌患者88例作为乳腺癌组,另选取同期在我院接受治疗的乳腺良性肿瘤患者60例作为良性对照组,良性对照组在治疗前,乳腺癌患者在化疗前后采用彩色多普勒超声进行检查,记录所有患者的二维超声表现、彩色多普勒超声表现。结果:乳腺癌组的形态不规则、边界不清晰、内部回声不均匀、后方回声异常的比例均高于良性对照组,差异有统计学意义(P<0.05),两组患者的血流分级分布情况整体比较差异有统计学意义(P<0.05),乳腺癌组的血流阻力指数(RI)高于良性对照组(P<0.05)。化疗后,治疗有效组的乳腺肿瘤体积小于治疗无效组,治疗有效组的形态不规则、边界不清晰、内部回声不均匀、后方回声异常的比例低于治疗无效组(P<0.05),治疗有效组的血流分级分布情况及RI与治疗无效组比较差异亦有统计学意义(P<0.05)。结论:彩色多普勒超声对乳腺良恶性肿瘤具有较高的鉴别诊断价值,同时也可用于乳腺癌患者新辅助化疗疗效的评估。     

Marked increase in breast cancer incidence in young women: A 10-year study from Northern Iran, 2004–2013

IntroductionBreast cancer is the most frequent cancer among women worldwide. Breast cancer incidence in young women is a health issue of concern, especially in middle-income countries such as Iran. The aim of this study is to report the breast cancer incidence variations in Golestan province, Iran, over a 10-year period (2004–2013).MethodsWe analyzed data from the Golestan Population-based Cancer Registry (GPCR), which is a high-quality cancer registry collecting data on primary cancers based on standard protocols throughout the Golestan province. Age-standardized incidence rates (ASRs) and age-specific incidence rates per 100,000 person-years were calculated. Time trends in ASRs and age-specific rates were evaluated using Joinpoint regressions. The average annual percentage change (AAPC) with correspondence 95% confidence intervals (95%CIs) were calculated.ResultsA total of 2106 new breast cancer cases were diagnosed during the study period. Most cases occurred in women living in urban areas: 1449 cases (68%) versus 657 cases (31%) in rural areas. Statistically significant increasing trends were observed over the 10-year study period amongst women of all ages (AAPC = 4.4; 95%CI: 1.2–7.8) as well as amongst women in the age groups 20–29 years (AAPC = 10.0; 95%CI: 1.7–19.0) and 30–39 years (AAPC = 5.1; 95%CI: 1.4–9.0).ConclusionThe incidence of breast cancer increased between 2004 and 2013 in Golestan province amongst all age groups, and in particular amongst women aged 20–39 years. Breast cancer should be considered a high priority for health policy making in our community.     

Study Of The Prevalence Of Autoimmune Thyroid Disease In Women With Breast Cancer

Objective: The aim of this study was to analyze the prevalence of thyroid disorders in patients with a positive biopsy for breast cancer prior to specific antitumor treatment.Methods: The frequency and pattern of thyroid disorders were evaluated in 112 patients with breast cancer (G1) and 125 control patients (G2) by analyzing serum thyroid-stimulating hormone (TSH), anti–thyroid peroxidase antibodies, and anti-thyroglobulin antibodies. In addition, the expression of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2) was assessed in the breast biopsies by immunohistochemistry.Results: The frequency of thyroid disorders, such as changes in TSH levels and/or the presence of thyroid antibodies, was not different between the 2 groups examined (30.4% in G1 versus 28.0% in G2) (P = .69). However, a family history of thyroid disease was more frequent in patients with breast cancer (50.5% in G1 versus 28.2% in G2) (P = .001). Regarding the clinical stage of breast cancer, there was no difference between women with autoimmune thyroiditis and those without thyroid dysfunction (P = .316). Similarly, there were no differences in hormone receptor (estrogen or progesterone) and HER2 expression between patients who tested positive and those who tested negative for anti-thyroid antibodies (P = .052 and P = .549, respectively).Conclusion: The data obtained in this study did not reveal a higher frequency of autoimmune thyroid disease in patients with breast cancer compared to controls. A family history of thyroid disease was more common in those with breast cancer.Abbreviations:anti-Tg = anti-thyroglobulinanti-TPO = anti–thyroid peroxidaseBIRADS = Breast Imaging-Reporting and Data SystemER = estrogen receptorFT₄ = free thyroxineG1 = study groupG2 = final control groupHER2 = human epidermal growth factor receptor 2PR = progesterone receptorTSH = thyroid-stimulating hormone