Breast Cancer Screening

Breast cancer is a common malignancy worldwide. It is considered top cancer in women and about 13% of women in the general population will develop breast cancer sometimes during their lives, with a gradual increase in incidence as survival increases. Primary prevention of breast cancer is directed toward promoting a healthy lifestyle and reversing modifiable risk factors; these factors include smoking cessation, physical activity, alcohol, and dietary modification. Imaging plays an important role in the diagnosis and management of breast cancer, it is also considered the most valuable tool in screening breast cancer. Mammogram is the most widely used method; it is recommended by many societies and committees as a useful method for early detection of breast cancer. False-positive and over-diagnosis constitute a problem in using screening mammogram. The implementation of a screening program faces many issues that may adversely affect its success such as personal factors, social factors, and accessibility issues. These issues should be identified as the initial step in program implementation. The role of Magnetic Resonance Imaging and Ultrasound is mainly in high-risk patients. The introduction of Artificial Intelligence in Mammogram may add beneficial effects in time and efforts improving its efforts.

Understanding Breast Health Awareness Among Nurses during conflict in Yemen

PURPOSE: The aim of this study was to determine the knowledge of risk factors and symptoms of breast cancer among Yemeni nurses during the conflict. METHODOLOGY: A cross-sectional design was carried out among 392 randomly selected participants. The instrument consists of 20 items, 12 general awareness statements, and 8 curability statements with a 0.711 reliability coefficient. Data analysis was performed using SPSS version 25. RESULTS: Most of the nurses were female (69.5%), with a mean age of 28.54, with monthly income less than 200 USD (54.3%). About 21.4% of the participants were smokers. Among all participants, the most frequently mentioned risk factor were breastfeeding, reducing the risk of breast development (86.2%), followed by physical activities lowers the developing risk of breast cancer (79.1%). Over time, the myth of the constant irritation due to the tight bra may cause breast cancer reported by women more than male nursing students. In this respect, men were better knowledgeable than women (P=0.001). Females, however, were more aware than males that women who bear their first child before 30 are more to develop breast cancer (P=0.017). Income is significantly associated with the level of knowledge among nurses. The most frequently mentioned breast symptoms among all participants were a pain in the breast (82.9%), followed by changes in the breast shape (79.1%). CONCLUSIONS: Income is significantly associated with the level of knowledge among nurses. The myth about breast cancer is dominant among nurses in Yemen. Therefore, there is an urgent need to educate nurses on breast health.

Mammographic density as marker of increased risk of breast cancer

‘Mammographic density’ (MD) is a concept that has entered medical practice since 2017. as a marker of breast cancer risk factor (BC) according to the international classifiation of NCCN. The term reflcts the degree of severity of benign diffuse breast dysplasia in women of post-reproductive age. MD is determined by the ratio of stromal, epithelial, and adipose tissue. According to the literature, in young women, high MD limits the possibilities of X-ray mammography, reducing its effectiveness in oncomammoscreening, leading to the detection of advanced forms of breast cancer. Post-reproductive women with high MD are more likely to develop breast cancer than those with low MD. In this regard, MD is of particular interest for studying its role in oncogenesis. Recent molecular genetic studies of the differences between high and low MD explain the main biological reasons why post-reproductive women with dense breast structure are at a higher risk of developing breast cancer. The aim is to identify the factors that inflence the relationship of MD with the risk of developing breast cancer based on a comparative analysis of molecular genetic studies and radiological manifestations of MD of different severity and to identify the factors that contribute to the formation of MD variants.

Hereditary breast cancer associated with the CHEK2 gene: Study through NGS in a Spanish cohort.

e22502 Background: Inherited mutations in the CHEK2 gene have been associated with an increased lifetimerisk of develop breast cancer (BC). The main objective of the study is to identify in our population the prevalence of mutations in the CHEK2 gene in diagnosed BC patients, as well as to evaluate the phenotypic characteristics of the tumour and family history. Methods: A genetic study was performed in 396 patients diagnosed of BC at the University Hospital Lozano Blesa of Zaragoza (Spain). We selected 9 patients with genetic variants in the CHEK2 gene and performed a descriptive analysis of the clinical variables, a bibliographic review of the genetic variants and a co-segregation study. Results: We identified 2 pathogenic variants ( CHEK2 c.349 A>G and c.507delT) and 6 variants of uncertain significance (VUS). The genotypic characteristics of the VUS are summarized in the table. In all cases there was a family history of BC in first and /or second degree relatives. The variant cosegregated with the disease in one of the families. Conclusions: The pathogenic missense variant c.349A>G was found in two families. This is a rare missense variant. Studies have shown that this variant had a significant impact on the protein based on in silico prediction and has been associated with BC. In our study, this variant was found in a patient with renal carcinoma and was identified in a proband with a strong family history of pancreatic and ovarian cancer (OC). However, there aren’t exist data about the risk of developing other cancer, different of BC, with this specific mutation. The other pathogenic variant detected was CHEK2 c.507delT in a family with history of BC and OC. This variant is a frameshift mutation, predicted to cause loss of normal protein function. CHEK2 507delT was reported in one of 12 BC families in one series and is possible its relation with OC. With regard to the VUS the cosegregation analysis in selected families may help understand if a variant could have played a role in developing cancer. In conclusion, CHEK2 mutations have been associated with increased risk for BC. However, the frequency of carriers may vary depending on the population, and different mutations may be associated with different cancer risks. More studies are needed to establish a complete range of risks associated with CHEK2 mutations. [Table: see text]

Effect of Non-Coding Region RNA Gene XIST (X-Inactive Specific Transcript) on Human Breast Cancer

X chromosome is a sex chromosome found in both women and men. The inactivation of the X chromosome is linked to a non-coding region of RNA known as the XIST gene (X-inactive specific transcript). This gene is located in the X inactivation center (XIC X-inactive center). The XIST gene is a region that belongs to the RNA group, non-coding transcripts (NCT), also known as microRNA. Breast cancer (Breast Cancer) is a type of cancer that commonly affects women, but men can develop breast cancer, but the chances are small, about 1 in 1000. Breast cancer is a cancerous neoplasm that is malignant, and occurs in the mammary gland. The presence of a specific XIST gene on the X chromosome and the prevalence of breast cancer, which is mostly in women, raises the idea that there is an influence of this gene on breast cancer (breast cancer) in the epigenetic process. The XIST gene related to microRNA has an opportunity to be looked at because certain microRNAs have a greater or lesser level (concentration) in cancer cells than normal cells. This is a new opportunity to continue to be developed as a consideration for a new treatment method involving gene therapy.

FORECASTING OF BREAST CANCER USING VOTING CLASSIFIER

Breast cancer is the most diagnosed and the leading cause of death in women. among women is breast cancer. Between 1 in 8 and 1 in 12 women in the developed world will experience breast cancer throughout their lives. The risk of breast cancer is of two primary types. The first type is that a person is likely to develop breast cancer over a specified time period. The second type reflects the likelihood of a high-risk gene mutation. Earlier work has shown that it has been better to predict the risk of breast cancer by adding input into the wide-spread Gail model. The main objective is to predict analytics model to diagnose breast cancer stages of patients. The main objective of this work is to detect and analyze breast cancer. It predicts the stages of the cancer and gives as the accurate result. In this work, to investigate a dataset of medical patient records for hospital sector using machine learning technique and to identify patients having breast cancer stages from given dataset attributes. Then the accurate result is found by naive Bayesian algorithm with precision, recall, F1score.

Dual Aromatase-Sulphatase Inhibitors (DASIs) for the Treatment of Hormone Dependent Breast Cancer

: Breast cancer is the most frequent diagnosed cancer in women and the second most common form of cancer, causing death after lung cancer, all across the globe at an alarming rate. The level of estrogens, in breast cancer tissues of postmenopausal women is 10-40 folds higher than the non-carcinogenic breast tissues. As a result of this greater level of estrogen, breast tissue becomes more prone to develop breast cancer; mainly estradiol plays a significant role in the initiation and development of hormone dependent breast cancer. Androstenedione, Adrenal dehydroepiandrosterone sulfate and estrone-sulfate also plays an important role of precursor for estrogen biosynthesis. Estrogens deprivation exhibits an attractive phenomena in the advancement of most ideal therapeutics for the treatment of breast cancer. Inhibition of aromatase and sulphatase emerged as attractive therapy for the treatment of hormone dependent breast cancer via deprivation of estrogen by different pathways. The cocktail of aromatase and sulphatase inhibitors known as dual aromatase-sulphatase inhibitors (DASIs) emerged as an attractive approach for the effective estrogen deprivation. The present review article focused on the journey of dual aromatase-sulphatase inhibitors from the beginning to till date (2020). Keeping in view the key observations, this review may be helpful for medicinal chemists to design and develop new and efficient dual aromatase-sulphatase inhibitors for the possible treatment of hormone-related breast cancer.

MEMBANGUN KESADARAN DAN PERILAKU HIDUP SEHAT MAHASISWI GUNA MENCEGAH KANKER PAYUDARA

Breast cancer is the second highest prevalence after cervical cancer. In recent years cases of breast tumors that are at risk of becoming cancer are found in women aged 25 years and under. This risk will increase in adolescent girls who have a history of tumors, so there is a 4.37 times more risk of developing breast cancer. Similarly, young women who experience menarche (first menstruation) at the age of <12 years are more likely to develop breast cancer than those who experience menarche aged> 12 years. Busyness undergoing daily routine is also one of the causes of teenagers / young women paying less attention to the health of their breasts. Based on this there have been many campaigns and movements to foster women's awareness of breast cancer such as the BSE movement (Breast Self-Check) and SADANIS (aware of clinical examination). It is unfortunate that this campaign has not been able to touch all circles, especially among students who are very busy with campus life and do not have the awareness to take care of their health. This dedication activity is carried out to increase the awareness of students / young women to maintain breast health. Keywords: breast cancer, health, increase student awareness.

Psychosocial Issues in Genetic Testing for Breast/Ovarian Cancer

Approximately 10% of all breast cancers are due to hereditary factors, with the majority caused by mutations in two autosomal dominant breast cancer genes, BRCA1 and BRCA2. Mutations in these genes are associated with cumulative risks of breast cancer of 72% in BRCA1 mutation carriers and 69% in BRCA2 mutation carriers by age 80. Mutation carriers who develop breast cancer have elevated risk for contralateral breast cancer. BRCA1/2 mutations also place women at elevated risk for ovarian cancer. Genetic counseling and testing are available to individuals, with or without cancer, to inform health-related decision-making. While genetic knowledge offers opportunities for prevention, including prophylactic risk-reducing surgery, a number of psychological and social challenges have been identified in the BRCA1/2 population. This chapter provides a broad overview of seminal research on the psychosocial impacts of genetic testing in BRCA1/2 with the goal of helping readers better identify, evaluate, and treat psychosocial challenges stemming from the process of genetic testing. Identifiable risk factors for psychosocial distress during the genetic counseling process are summarized. The chapter points toward key psychometric instruments designed to support psychosocial screening in cancer genetic populations. Further, a summary of intervention strategies to support psychosocial adaptation to genetic testing is provided.