Breast Disease Research Articles

Endogenous osteoprotegerin (OPG) represses ERα and promotes stemness and chemoresistance in breast cancer cells

Breast cancer (BC) is the most prevalent cancer and the leading cause of death among women worldwide. The osteoprotegerin (OPG) cytokine, a decoy receptor for RANKL and a key player in bone homeostasis, has pro-and anti-carcinogenic effects in various types of cancer, including breast neoplasms. In the present study, we have shown that ectopic expression of OPG in breast epithelial/cancer cells promotes the pro-metastatic processes epithelial-to-mesenchymal transition (EMT), stemness, angiogenesis as well as the activation of breast stromal fibroblasts. Furthermore, proteomics analysis, which allows the identification and quantification of a plethora of known and unknown proteins, has shown a strong and significant correlation between OPG upregulation and the expression of proteins with functions in EMT and stemness. On the other hand, OPG knockdown in triple-negative breast cancer (TNBC) cells inhibited the formation of cancer stem cells. Importantly, while OPG upregulation significantly enhanced the resistance of luminal BC cells to cisplatin and docetaxel, OPG downregulation sensitized TNBC cells to these chemotherapeutic drugs. We have also shown that OPG negatively controls estrogen receptor α (ERα), and OPG upregulation correlated well with the expression of genes related to ER-negative claudin low cells. Collectively, these results show that OPG promotes stemness and the consequent chemoresistance of breast cancer cells.

Incorrect and Sex-Inconsistent Mapping of Disorders: Identification of Sex Biases in the ICD-10, ICD-11 and SNOMED CT and How to Work Around Them.

In the international classifications ICD-10-WHO and ICD-11-WHO, many sex-specific diseases have incomplete coding. It is possible to further enhance semantic interoperability using SNOMED CT additionally to ICD. Part of the analysis of semantic interoperability of diagnoses in the ICD are Sexual Dysfunctions, Postpartum Depression, Sexual Assault, Premenstrual Tension Syndrome and Premenstrual Dysphoric Disorder, Female Genital Mutilation and Cutting, Gender Incongruence and Disorders of Breast. Labeling biases have been identified in all diagnoses, either in SNOMED CT or ICD. For mental disorders associated with pregnancy, gender incongruence and sexual violence the use of the GPS of SNOMED CT can help enhance semantic interoperability additionally to ICD.

Network medicine based approach for identifying the type 2 diabetes, osteoarthritis and triple negative breast cancer interactome: Finding the hub of hub genes

The increasing prevalence of multi-morbidities, particularly the incidence of breast cancer in diabetic/osteoarthritic patients emphasize on the need for exploring the underlying molecular mechanisms resulting in carcinogenesis. To address this, present study employed a systems biology approach to identify switch genes pivotal to the crosstalk between diseased states resulting in multi-morbid conditions. Hub genes previously reported for type 2 diabetes mellitus (T2DM), osteoarthritis (OA), and triple negative breast cancer (TNBC), were extracted from published literature and fed into an integrated bioinformatics analyses pipeline. Thirty-one hub genes common to all three diseases were identified. Functional enrichment analyses showed these were mainly enriched for immune and metabolism associated terms including advanced glycation end products (AGE) pathways, cancer pathways, particularly breast neoplasm, immune system signalling and adipose tissue. The T2DM-OA-TNBC interactome was subjected to protein-protein interaction network analyses to identify meta hub/clustered genes. These were prioritized and wired into a three disease signalling map presenting the enriched molecular crosstalk on T2DM-OA-TNBC axes to gain insight into the molecular mechanisms underlying disease-disease interactions. Deciphering the molecular bases for the intertwined metabolic and immune states may potentiate the discovery of biomarkers critical for identifying and targeting the immuno-metabolic origin of disease.

Promoting Standardization of Clinical Evidence With Severity-Guided Treatments for Idiopathic Granulomatous Mastitis: A Narrative Review.

Idiopathic granulomatous mastitis (IGM) is a benign disease of the breast which causes a great deal of discomfort for patients. More comparable data and greater consensus in treatment are needed to better understand the disease and help with evidence-based clinical decision making. This narrative review aims to discuss the literature available on IGM and illustrate the need for consensus on treatment. We highlight the existing severity scores for this disease in the literature and discuss the value of severity-guided treatment. In our review, 81 studies out of 319 reviewed publications met established criteria. With the selected results from our search results, the available research on IGM etiology, risk factors, diagnosis, and treatment is summarized with an emphasis on the existing severity scores. A total of four proposed severity scores were found in our review. Consensus on the treatment of IGM must be established. There are varying severity scores on IGM severity. We suggest using an established standardized severity score to guide treatment and recommend one such score.

Cytokine levels in breast cancer are highly dependent on cytomegalovirus (CMV) status

PurposeBreast cancer accounts for 30% of all female cancers in the US. Cytomegalovirus (CMV), a herpesvirus that establishes lifelong infection, may play a role in breast cancer. CMV is not oncogenic, yet viral DNA and proteins have been detected in breast tumors, indicating possible contribution to tumor development. CMV encodes cmvIL-10, a homolog of human cellular IL-10 (cIL-10) with potent immunosuppressive activities. We investigated the relationship between CMV infection, cytokines, and breast cancer.MethodsWe evaluated CMV serostatus and cytokine levels in plasma of women with benign breast disease (n = 38), in situ carcinoma (n = 41), invasive carcinoma, no lymph node involvement (Inv/LN−; n = 41), and invasive with lymph node involvement (Inv/LN+; n = 37).ResultsFifty percent of the patient samples (n = 79) were CMV seropositive. There was no correlation between CMV status and diagnosis (p = 0.75). For CMV+ patients, there was a trend toward higher CMV IgG levels in invasive disease (p = 0.172). CmvIL-10 levels were higher in CMV+ in situ patients compared to the Inv/LN− and Inv/LN+ groups (p = 0.020). Similarly, cIL-10 levels were higher in CMV+ in situ patients compared to the Inv/LN− and Inv/LN+ groups (p = 0.043). The results were quite different in CMV− patients where cIL-10 levels were highest in Inv/LN− compared to benign, in situ, or Inv/LN+ (p = 0.019). African American patients were significantly associated with CMV+ status (p = 0.001) and had lower cmvIL-10 levels than Caucasian patients (p = 0.046).ConclusionNo association was observed between CMV IgG and diagnosis, but CMV infection influences cytokine production and contributes to altered cytokine profiles in breast cancer.

Trends and Reasons of Referral of Benign Breast Disease Patients in a Tertiary Hospital in India

Trends and Reasons of Referral of Benign Breast Disease Patients in a Tertiary Hospital in India

Patients' perceptions of targeted breast ultrasound and digital breast tomosynthesis in the diagnostic setting: A mixed methods study.

Although DBT is the standard initial imaging modality for women with focal breast symptoms, the importance of ultrasound has grown rapidly in the past decades. Therefore, the Breast UltraSound Trial (BUST) focused on assessing the diagnostic value of ultrasound and digital breast tomosynthesis (DBT) for the evaluation of breast symptoms by reversing the order of breast imaging; first performing ultrasound followed by DBT. This side-study of the BUST evaluates patients' perceptions of ultrasound and DBT in a reversed setting. After imaging, 1181/1276 BUST participants completed a survey consisting of open and closed questions regarding both exams (mean age 47.2, ±11.74). Additionally, a different subset of BUST participants (n = 29) participated in six focus group interviews 18-24 months after imaging to analyze their imaging experiences in depth. A total of 55.3% of women reported reluctance to undergoing DBT, primarily due of pain, while the vast majority also find bilateral DBT reassuring (87.3%). Thematic analysis identified themes related to 1) imaging reluctance (pain/burden, result, and breast harm) and 2) ultrasound and DBT perceptions. Regarding the latter, the theme comfort underscores DBT as burdensome and painful, while ultrasound is largely perceived as non-burdensome. Ultrasound is also particularly valued for its interactive nature, as highlighted in the theme interaction. Perceived effectiveness reflects women's interest in bilateral breast evaluation with DBT and the visibility of lesions, while they express more uncertainty about the reliability of ultrasound. Emotional impact portrays DBT as reassuring for many women, whereas opinions on the reassurance provided by ultrasound are more diverse. Additional themes include costs, protocols and privacy. Ultrasound is highly tolerated, and particularly valued is the interaction with the radiologist. Nearly half of women express reluctance towards DBT; nevertheless, a large portion report feeling more confident after undergoing bilateral DBT, reassuring them of the absence of abnormalities. Understanding patients' perceptions of breast imaging examinations is of great value when optimizing diagnostic pathways.

Comparison of the differential effect of participation in breast cancer screening program versus opportunistic screening or symptomatic detection on tumour characteristics.

The success of a breast cancer screening program is highly dependent on adherence. We aimed to compare the differential effect of participation in breast cancer screening program versus opportunistic screening or symptomatic detection on tumour characteristics. We included women referred to our Breast Centre in 2015-2021: 321 from the breast cancer screening group (group 1) and 422 through opportunistic screening or due to symptomatic detection (group 2). We compared data on sociodemographics, breast cancer detection, clinical features and tumour characteristics. A total of 10.6% of women in group 1 had breast symptoms and 63.8% had breast signs, with group 2 presenting higher proportions (57.6 and 77.8%, respectively, P < 0.001). The median tumour size in group 1 was smaller compared with group 2 (14 vs 17 mm, P < 0.001). A total of 8.7% of women in group 1 had nodal involvement whereas in group 2 the proportion corresponded to 19.0% (P < 0.001). No women in group 1 were diagnosed with metastasis, while metastases were found in 2.4% of those from group 2 (P = 0.005). There were no significant differences in molecular subtype of invasive tumours between the two groups. The tumour characteristics of women who participated in the breast cancer screening program showed in almost all characteristics more favourable results in comparison with the group who underwent opportunistic screening or sought care due to symptoms. The lower clinical stage observed in those referred from the organised program reaffirms that it is an effective measure for early detection, diagnosis, and treatment.

Adipocytes promote metastasis of breast cancer by attenuating the FOXO1 effects and regulating copper homeostasis

BackgroundObesity and the forkhead box O1(FOXO1) affect the survival of breast cancer patients, but the underlying mechanism remains unclear. We aimed to investigate the role of FOXO1 in obesity-associated-breast cancer.MethodsWe screened 383 breast disease patients from the first affiliated hospital with Nanjing Medical University in 2020. We performed wound healing, transwell, matrigel assays to assess the metastatic ability of cancer cells. We adopted mRNAs sequencing to select the differentially expressed transcripts in breast cancer. We applied immunohistochemistry, western blot, tissue microarrays to assess the level of FOXO1 and epithelial-mesenchymal transition (EMT) pathways. We conducted bioinformatic analysis to investigate interactions between FOXO1 and miR-135b. We used fluorescence in situ hybridization, RT-qPCR to confirm the characteristics of circCNIH4. We conducted luciferase reporter assay, rescue experiments to investigate interactions between circCNIH4 and miR-135b.ResultsObesity was positively correlated with the incidence and progression of breast cancer. Adipocytes enhanced the migration of breast cancer and attenuated the effects of FOXO1. MiR-135b was a binding gene of FOXO1 and was regulated by circCNIH4. CircCNIH4 exhibited antitumor activity in vitro and in vivo.ConclusionAdipocytes might accelerate the progression of breast cancer by modulating FOXO1/miR-135b/ circCNIH4 /EMT axis and regulating copper homeostasis.

Uptake of Breast Cancer Screening Practices in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis.

Breast cancer is the most prevalent cancer worldwide and the leading cause of cancer mortality in women. Uptake of breast cancer screening and early-detection practices in low- and middle-income countries (LMICs) has not been synthesized. We aimed to systematically quantify uptake of breast cancer screening in LMICs. We performed a systematic review and meta-analysis of observational population-based studies that reported the uptake of screening or early-detection practices. We searched PubMed, Scopus, Embase, and Web of Knowledge databases to January 2024. We pooled data using random-effects meta-analysis, and explored heterogeneity using subgroup analyses. 174 population-based studies encompassing >78 million women were included. Pooled prevalence of self-reported uptake of screening mammography, self-reported having had clinical breast examination for screening, and self-reported regular breast self-examination (relevant for breast awareness in LMICs) were 22.7% (95% CI: 18.6-27.2), 23.1% (95% CI: 19.5-27.0), and 14.6% (95% CI: 11.6-17.9) respectively. Uptake of breast cancer screening practices was lowest in Africa and low and lower-middle income countries. Uptake of breast cancer screening practices remained stable over time or slightly decreased. Women who lived in rural area, were single, had lower income level, had low educational attainment, were unemployed, were uninsured and had no family history of breast cancer were generally least likely to self-report uptake of breast cancer screening. This meta-analysis identified concerningly low uptake of breast cancer screening practices in LMICs. Governments should prioritize developing context-appropriate strategies to address this low uptake to support population-level stage-shifting of breast cancer in LMICs.

Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan

ABSTRACT The rapid identification and categorisation of breast cancers using low-contrast MRI images presents a significant challenge due to the disease’s prevalence among women of all ages. Nowadays, it is very difficult to classify and generalise models from low-contrast MRI datasets due to the prevalence of class imbalance caused by a wide range of symptoms and untrustworthy data sources. Using ensemble learning with optimised k-means helps with these problems; it reduces overfitting and improves reliability by using methods like k-means clustering, frog feap algorithm (FLA), boosting, and bagging to balance datasets and show the complexity of symptoms. In this research, we present a new strategy that makes use of a hybrid optimised K-Means algorithm combined with the FLA, along with thresholding and morphological approaches, and ensemble learning. There are two main stages to our work. In the initial phase, we preprocess low-contrast MRI images and delineate the breast tumour area from the segmented MRI images. Furthermore, we employ Discrete Wavelet Transformation (DWT) to extract the most salient features. In the next step, the retrieved features will be used as input parameters for an ensemble-learned breast tumour classifier. To determine whether a low-contrast breast tumour MRI picture has a benign or malignant tumour after model training, we use a variety of classifiers, such as k-nearest neighbours (KNN), decision trees (DT), gradient boosting (GB), random forests (RF), and artificial neural networks (ANN). Through a voting mechanism that averages the accuracy of all models, our suggested framework achieves a remarkable 98.8% accuracy rate. In addition, proposed model is quite efficient & reliable to detect the kind of breast tumour or cancer with a sensitivity of 98.02% and a specificity of 97.5%.

The clinical efficacy of Lou's Wentong method in the treatment of lactational mastitis: A retrospective self-control study with 158 cases

BackgroundAs a common breast disease in lactating women, lactational mastitis is clinically manifested as painful breast lumps and systemic symptoms. To a certain extent, this disease may affect the physical and mental health of lactating women and even the breastfeeding of infants. ObjectiveThis study was conducted to evaluate the clinical efficacy of Lou's Wentong Method in the comprehensive treatment of lactational mastitis and its effects on relevant symptoms. MethodsA total of 158 patients who were diagnosed with lactational mastitis in The First Affiliated Hospital of Zhejiang Chinese Medical University from January 2022 to January 2024 were included in this study to conduct a retrospective analysis. The treatment method comprised oral administration of traditional Chinese medicine prescriptions guided by the concept of “Wentong zhi yong” (warming and dispersing therapy for treating abscesses), puncture and pus extraction for patients with abscess formation, and milk drainage for patients with milk stagnation. The clinical symptoms of these patients were collected according to the seven indexes in Lou's quantitative scorecard for evaluating the condition of canker sores before and after treatment. Additionally, the improvement of each symptom after treatment, the total effective rate of the clinical treatment, and the total symptom evaluation score before and after treatment were also analyzed. ResultsIt was demonstrated that there were significant differences in the overall distribution of different severity symptoms (skin erythema, breast pain, number of lumps, size of lumps, breast abscesses, and body temperature) at three time points (P < 0.01). The evaluation of these symptoms at different time points revealed that all symptoms were effectively mitigated over time. Meanwhile, the efficacy was assessed according to the efficacy index to evaluate the efficacy of Lou's Wentong Method in the comprehensive treatment of lactational mastitis. The results corroborated the pronounced efficacy of Lou's Wentong Method in treating lactational mastitis, exhibiting statistical significance (P < 0.01). ConclusionLou's Wentong Method has significant therapeutic effects in the comprehensive treatment of lactational mastitis. Furthermore, this method is conducive to alleviating the clinical symptoms of these patients as soon as possible and can reduce the pain of patients, thus promoting their recovery.

Advocate-BREAST: advocates and patients’ advice to enhance breast cancer care delivery, patient experience and patient centered research by 2025

PurposeThe aims of the Advocate-BREAST project are to study and improve the breast cancer (BC) patient experience through education and patient-centered research.MethodsIn December 2021, an electronic REDCap survey was circulated to 6,918 BC survivors (stage 0–4) enrolled in the Mayo Clinic Breast Disease Registry. The questionnaire asked about satisfaction with BC care delivery, and education and support receive(d) regarding BC linked concerns. Patients also ranked Quality Improvement (QI) proposals.ResultsThe survey received 2,437 responses. 18% had Ductal Carcinoma in Situ, 81% had early breast cancer (EBC), i.e. stage 1–3, and 2% had metastatic breast cancer (MBC). Mean age was 64 (SD 11.8), and mean time since diagnosis was 93 months (SD 70.2). 69.3% of patients received all care at Mayo Clinic. The overall experience of care was good (> 90%). The main severe symptoms recalled in year 1 were alopecia, eyebrow/eyelash thinning, hot flashes, sexual dysfunction, and cognitive issues. The main concerns recalled were fear of BC recurrence/spread; loved ones coping; fear of dying, and emotional health. Patients were most dissatisfied with information regarding sexual dysfunction, eyebrow/eyelash thinning, peripheral neuropathy, and on side effects of immunotherapy/targeted therapies. Top ranking QI projects were: i) Lifetime access to concise educational resources; ii) Holistic support programs for MBC and iii) Wellness Programs for EBC and MBC.ConclusionsPatients with early and advanced BC desire psychological support, concise educational resources, and holistic care.ImplicationsFocused research and QI initiatives in these areas will improve the BC patient experience.

Comparison of the modified Masood's scoring index versus international academy of cytology Yokohama system in the categorization of breast fine needle aspirates.

The Modified Masood Scoring Index (MMSI) categorizes breast fine needle aspirates into four categories non-proliferative breast diseases (PBD), PBD without atypia, PBD with atypia and carcinoma insitu/carcinoma. The International Academy of Cytology Yokohama System classifies the aspirates into five categories - inadequate, benign, atypical, suspicious, and malignant. Very few studies have been conducted so far to compare the diagnostic accuracy of this system. The objectives of the study were to classify breast fine needle aspirates according to the MMSI and IAC Yokohama and assess their risk of malignancy (ROM) and performance parameters. All breast FNAs received from June 2020 to May 2023 were classified according to the MMSI and IAC Yokohama. Using histopathological diagnosis as the gold standard, ROM and performance parameters were calculated. Out of the 559 breast fine needle aspirates, the histopathological correlation was available for 337 cases. The ROM for non-PBD, PBD without atypia, PBD with atypia and carcinoma insitu/carcinoma categories were 0%, 1.2%, 9.1% and 93%, respectively. The ROM for each of the categories of Yokohama system was 16.6%, 1.1%, 4.3%, 86.2% and 97.6%, respectively. The values for the sensitivity, specificity, PPV, NPV and diagnostic accuracy were slightly higher for IAC Yokohama (97.3%, 97.2%, 94.7%, 98.6% and 97.2%, respectively) than the MMSI (96.4%, 96.2%, 93%, 98.1% and 96.3%, respectively). Furthermore, another shortfall of MMSI is the inability to compare the Inadequate category of the Yokohama system. Overall Yokohama system proved to be a better system for categorizing breast lesions on FNAB as the scoring system provides more objective categorization and minimizes false positive and false negative cases.

Automated system utilizing non-invasive technique mammograms for breast cancer detection

In order to increase the likelihood of obtaining treatment and achieving a complete recovery, early illness identification and diagnosis are crucial. Artificial intelligence is helpful with this process by allowing us to rapidly start the necessary protocol for treatment in the early stages of disease development. Artificial intelligence is a major contributor to the improvement of medical treatment for patients. In order to prevent and foresee this problem on the individual, family, and generational levels, Monitoring the patient's therapy and recovery is crucial. This study's objective is to outline a non-invasive method for using mammograms to detect breast abnormalities, classify breast disorders, and identify cancerous or benign tumor tissue in the breast. We used classification models on a dataset that has been pre-processed so that the number of samples is balanced, unlike previous work on the same dataset. Identifying cancerous or benign breast tissue requires the use of supervised learning techniques and algorithms, such as random forest (RF) and decision tree (DT) classifiers, to examine up to thirty features, such as breast size, mass, diameter, circumference, and the nature of the tumor (solid or cystic). To ascertain if the tissue is malignant or benign, the examination's findings are employed. These features are mostly what determines how effectively anything may be categorized. The DT classifier was able to get a score of 95.32%, while the RF satisfied a far higher 98.83 percent.

A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms.

Artificial intelligence (AI) systems can improve cancer diagnosis, yet their development often relies on subjective histologic features as ground truth for training. Herein, we developed an AI model applied to histologic whole-slide images using CDH1 biallelic mutations, pathognomonic for invasive lobular carcinoma (ILC) in breast neoplasms, as ground truth. The model accurately predicted CDH1 biallelic mutations (accuracy = 0.95) and diagnosed ILC (accuracy = 0.96). A total of 74% of samples classified by the AI model as having CDH1 biallelic mutations but lacking these alterations displayed alternative CDH1 inactivating mechanisms, including a deleterious CDH1 fusion gene and noncoding CDH1 genetic alterations. Analysis of internal and external validation cohorts demonstrated 0.95 and 0.89 accuracy for ILC diagnosis, respectively. The latent features of the AI model correlated with human-explainable histopathologic features. Taken together, this study reports the construction of an AI algorithm trained using a genetic rather than histologic ground truth that can robustly classify ILCs and uncover CDH1 inactivating mechanisms, providing the basis for orthogonal ground truth utilization for development of diagnostic AI models applied to whole-slide image. Significance: Genetic alterations linked to strong genotypic-phenotypic correlations can be utilized to develop AI systems applied to pathology that facilitate cancer diagnosis and biologic discoveries.

Bioenergetic analysis and anthropometric evaluation of bra-breast interface for improved design and breast health

Bioenergetics analysis of bra-breast Interface is an important technique for improving the design of bras and promoting breast health and comfort during physical activity. The objective of this study is to evaluate the compatibility between the anatomy of the breasts and bra. The study encompasses breast anthropometry via measurement. A measurement topology was proposed to determine breast mass, volume, shape, and asymmetry under loading (with-bra) and unloading (without-bra). Using the anthropometric data, the bioenergetics of the breasts were determined and compared to the rest of the body. From the bioenergetic analysis, a larger breast could require up to 69 J of energy during walking. The average mass of a breast ranges from 500 to 1000 g. Assuming breast shape to be standard, semi-conical, semi-spherical and semi-elliptical, breast volume was determined where semi conical and semi spherical breast shapes consistently predicted lower bound volume for each breast, whereas the standard and semi elliptical breast shapes predicted higher volume for the same breasts measurements. Mathematically, the medial-lateral boundaries of the breast were described by a secant of a curve, aligned on the coronal plane, causing eccentric loading when the two breast nipples were on different transverse planes. When this variation was more than 5% volume change, asymmetric breast shapes occurred and was responsible to displace bra heterogeneously compromising fit and support. A non-linear, leaf-function describing the relationship between the breast radius and volume invoked at a given body weight. In general, the current design for a bra assumes that the breasts are symmetrical, though the current investigation proves that this is not the case. The bra needs to be redesigned to better fit women, since left and right sides are not symmetrical. This is a significant problem today, as it is estimated that nearly 80% of women wear incorrectly- sized bras; 70% wore bras that are too small, and 10% wore bras that are too big. Current investigation highlights the crucial importance of incorporating the distance between the nipples into bra design to achieve optimal support, comfort, symmetry, and minimize breast movement. It ensures that the bra cups are positioned optimally to provide effective support and enhance the natural shape of the breasts. If the current bra models are redesigned, the amount of discomfort in women could potentially decrease.

Known and unknown hymecromone. A review

Hymecromone (4-MU) is a recognized agent currently used in clinical practice. Since 1960, hymecromone has been used in many countries as a choleretic and cholespasmolytic, a drug approved for use in humans with biliary tract disorders. The review presents both traditional European and Russian studies of the selective antispasmodic and choleretic properties of hymecromone, due to which hymecromone is the drug of choice for the treatment of biliary tract diseases, as well as new fundamental and clinical studies of numerous pleiotropic effects of 4-MU associated with inhibition of hyaluronic acid and many other properties of this exciting molecule. These include antibacterial, antiviral, and nonspecific anti-inflammatory effects. Positive results have been demonstrated in carbohydrate and lipid metabolism disorders, autoimmune diseases, as well as liver, heart, and kidney diseases. Numerous in vitro and in vivo studies have been presented in pancreatic, prostate, skin, esophagus, breast, liver, ovary, bone cancers, metastatic lesions, leukemia, autoimmune and inflammatory diseases. Hymecromone is indicated not only as a choleretic and cholespasmolytic but also as a choleseptic in cholangitis and chronic cholecystitis, including opisthorchiasis, which does not disagree with its label. Odecromone® (hymecromone, tablets 200 mg) is available on the Russian market; it replaced the originator drug and is its fully equivalent generic.

Investigation of the Relationship Between Breast Cancer Awareness and Health Literacy in Female Textile Workers

Introduction: The level of breast cancer awareness among female may vary depending on their level of health literacy. Aim: It was aimed to investigate the relationship between breast cancer awareness and health literacy among female textile workers. Method: This study was a cross-sectional study. The study population consisted of female employed as workers in a textile company. The sample included 360 female workers as participants. The Information Form, the Breast Cancer Awareness Scale, and the Health Literacy Scale are the data collection instruments used in the study. Independent samples t-test, ANOVA, and regression analyses were used to evaluate the data. Results: The results were that 73.6% of the participants did not perform regular breast self-examination, and 55.3% had information on early diagnosis and treatment. Signifiant positive correlations were observed between women's breast cancer awareness and the functional (r = 0.135; p = 0.011), interactive (r = 0.145; p = 0.006), and critical (r = 0.156; p = 0.003) sub-scales of health literacy. According regression analysis to the established model, an increase in health literacy scores corresponded to increased breast cancer awareness, explaining 3.9% of the variation. Conclusion: It was revealed that as the health literacy of working female increases, breast cancer awareness will increase. Therefore, the focus should be on supporting the health literacy of women in the risk group, reaching more women in collective institutions and breast cancer awareness activities.

Granulomatous mastitis and other inflammatory mastitis simulating breast neoplasms – A retrospective study in the fine needle aspiration cytology clinic of a tertiary care center in eastern India

Background: Fine needle aspiration cytology (FNAC) is an important diagnostic modality in palpable breast lesions. This together with imaging modality is important in distinguishing benign from malignant lesions of the breast. Granulomatous/inflammatory mastitis forms a small subset of breast lesions that may present as a breast lump. Clinical and radiological features in these cases may mimic malignant breast pathology. Aims and Objectives: The aim of this study was to study the frequency of granulomatous mastitis and other inflammatory mastitis with respect to other neoplastic lesions of the breast, presented in FNAC clinics and to correlate the cytological findings with the clinical presentation of granulomatous and other inflammatory mastitis. Materials and Methods: A retrospective study was conducted in the Department of Pathology in a tertiary care center in Eastern India for duration of 4 years 5 months. Details of all patients who underwent FNAC for breast lesions during the study period were recorded in terms of their clinical presentation, cytological findings, imaging, and ancillary investigations. The findings were then tabulated in a master sheet and analysis done by descriptive statistics using SPSS 25. Results: A total of 154 cases were included with 5 cases (3.2%) of granulomatous and 12 cases (7.8%) of inflammatory mastitis. Age range for granulomatous/inflammatory mastitis was 20–70 years. Lump and pain were the most common complaints followed by inflammatory skin changes and nipple discharge. Very few cases also showed nipple retractions and very occasional systemic symptoms like fever. History of lactation was seen among five cases. Three cases showed positive acid-fast bacilli in Ziehl–Neelsen stain. Radiology was discordant with cytological findings in three cases, where the former suggested a breast neoplastic process. Conclusion: Granulomatous/inflammatory mastitis is a rarely diagnosed entity in breast cytopathology with no standard guidelines for management. Antibiotics antitubercular therapy and corticosteroids are some proposed lines of medical management. In treatment-resistant cases, wide local excision may be done depending on available resources and surveillance opportunities.