Breast Cancer and Ovarian Cancer Genetics

AbstractThe aim of this study was to evaluate the knowledge and educational needs with regard to hereditary breast and ovarian cancer among nurses working in breast cancer care in the Nagasaki Prefecture. In breast cancer care, the identification of patients at risk for hereditary breast and ovarian cancer is necessary for the implementation of genetic testing and counseling. Nurses should be involved in this process, since they play a crucial role in the care of patients with breast cancer. However, the knowledge regarding hereditary breast and ovarian cancer among nurses working in oncology care in Japan has not been assessed. The design of this study is cross-sectional design. We distributed 597 surveys to nurses working in breast cancer care. The surveys assessed the nurses’ demographic data, their current knowledge and practices regarding cancer genetics and hereditary breast and ovarian cancer, and their attitude and preferences regarding learning about the condition. We received 317 valid replies. Nurses had limited knowledge about hereditary breast and ovarian cancer characteristics: 41.6% reported that they do not know about the condition, whereas less than 10% knew its characteristics. However, nurses were aware of hereditary breast and ovarian cancer significance and were willing to learn about it: 91% wished to learn about the condition, and 88.6% wanted to participate in study group meetings. Further, nurses’ preferences regarding educational programs were clarified. Overall, our results show that educational programs should be implemented to advance nurses’ knowledge of hereditary breast and ovarian cancer characteristics.

Download Full-text

Breast Cancer and Ovarian Cancer Genetics: An Update

Journal of Environmental Pathology Toxicology and Oncology ◽

10.1615/jenvironpatholtoxicoloncol.v27.i4.10 ◽

2008 ◽

Vol 27 (4) ◽

pp. 245-256 ◽

Cited By ~ 2

Author(s):

Richard Edlich ◽

Catherine L. Cross ◽

Courtney A. Wack ◽

Margot E. Chase ◽

Kant Y. Lin ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Cancer Genetics

Download Full-text

Breast cancer genetics and biology

European Journal of Cancer ◽

10.1016/s0959-8049(01)80221-5 ◽

2001 ◽

Vol 37 ◽

pp. 175-178

Keyword(s):

Breast Cancer ◽

Cancer Genetics ◽

Breast Cancer Genetics

Download Full-text

Chemosensitivity testing in Ovarian Cancer and Breast Cancer

Experimental and Clinical Endocrinology & Diabetes ◽

10.1055/s-2004-819321 ◽

2004 ◽

Vol 112 (S 1) ◽

Author(s):

S Albrecht ◽

T Köppen ◽

K Deutschmann ◽

T Zimmermann ◽

R Findeisen ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Chemosensitivity Testing

Download Full-text

Perbandingan CART dan Random Forest untuk Deteksi Kanker berbasis Klasifikasi Data Microarray

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ◽

10.29207/resti.v4i5.2083 ◽

2020 ◽

Vol 4 (5) ◽

pp. 805-812

Author(s):

Riska Chairunisa ◽

Adiwijaya ◽

Widi Astuti

Keyword(s):

Breast Cancer ◽

Lung Cancer ◽

Ovarian Cancer ◽

Random Forest ◽

Classification And Regression Tree ◽

Classification Method ◽

Discrete Wavelet ◽

Prostate Tumors ◽

Cancer Data ◽

Colon Tumors

Cancer is one of the deadliest diseases in the world with a mortality rate of 57,3% in 2018 in Asia. Therefore, early diagnosis is needed to avoid an increase in mortality caused by cancer. As machine learning develops, cancer gene data can be processed using microarrays for early detection of cancer outbreaks. But the problem that microarray has is the number of attributes that are so numerous that it is necessary to do dimensional reduction. To overcome these problems, this study used dimensions reduction Discrete Wavelet Transform (DWT) with Classification and Regression Tree (CART) and Random Forest (RF) as classification method. The purpose of using these two classification methods is to find out which classification method produces the best performance when combined with the DWT dimension reduction. This research use five microarray data, namely Colon Tumors, Breast Cancer, Lung Cancer, Prostate Tumors and Ovarian Cancer from Kent-Ridge Biomedical Dataset. The best accuracy obtained in this study for breast cancer data were 76,92% with CART-DWT, Colon Tumors 90,1% with RF-DWT, lung cancer 100% with RF-DWT, prostate tumors 95,49% with RF-DWT, and ovarian cancer 100% with RF-DWT. From these results it can be concluded that RF-DWT is better than CART-DWT.

Download Full-text

A Case Report of Germline Compound Heterozygous Mutations in the BRCA1 Gene of an Ovarian and Breast Cancer Patient

International Journal of Molecular Sciences ◽

10.3390/ijms22020889 ◽

2021 ◽

Vol 22 (2) ◽

pp. 889

Author(s):

Ava Kwong ◽

Cecilia Y. S. Ho ◽

Vivian Y. Shin ◽

Chun Hang Au ◽

Tsun Leung Chan ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Brca1 Gene ◽

Pathogenic Mutation ◽

Compound Heterozygous ◽

Strong Family History ◽

Breast And Ovarian Cancer ◽

Pathogenic Mutations ◽

Increased Risk ◽

History Of

The germline carrier of the BRCA1 pathogenic mutation has been well proven to confer an increased risk of breast and ovarian cancer. Despite BRCA1 biallelic pathogenic mutations being extremely rare, they have been reported to be embryonically lethal or to cause Fanconi anemia (FA). Here we describe a patient who was a 48-year-old female identified with biallelic pathogenic mutations of the BRCA1 gene, with no or very subtle FA-features. She was diagnosed with ovarian cancer and breast cancer at the ages of 43 and 44 and had a strong family history of breast and gynecological cancers.

Download Full-text

A Collaborative Model to Implement Flexible, Accessible and Efficient Oncogenetic Services for Hereditary Breast and Ovarian Cancer: The C-MOnGene Study

Cancers ◽

10.3390/cancers13112729 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2729

Author(s):

Julie Lapointe ◽

Michel Dorval ◽

Jocelyne Chiquette ◽

Yann Joly ◽

Jason Robert Guertin ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Genetic Counseling ◽

Evidence Base ◽

Annual Number ◽

Breast And Ovarian Cancer ◽

Patient Centered ◽

Collaborative Model ◽

Counseling And Testing ◽

Number Of Patients

Medical genetic services are facing an unprecedented demand for counseling and testing for hereditary breast and ovarian cancer (HBOC) in a context of limited resources. To help resolve this issue, a collaborative oncogenetic model was recently developed and implemented at the CHU de Québec-Université Laval; Quebec; Canada. Here, we present the protocol of the C-MOnGene (Collaborative Model in OncoGenetics) study, funded to examine the context in which the model was implemented and document the lessons that can be learned to optimize the delivery of oncogenetic services. Within three years of implementation, the model allowed researchers to double the annual number of patients seen in genetic counseling. The average number of days between genetic counseling and disclosure of test results significantly decreased. Group counseling sessions improved participants’ understanding of breast cancer risk and increased knowledge of breast cancer and genetics and a large majority of them reported to be overwhelmingly satisfied with the process. These quality and performance indicators suggest this oncogenetic model offers a flexible, patient-centered and efficient genetic counseling and testing for HBOC. By identifying the critical facilitating factors and barriers, our study will provide an evidence base for organizations interested in transitioning to an oncogenetic model integrated into oncology care; including teams that are not specialized but are trained in genetics.

Download Full-text

A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families

Statistical Methods in Medical Research ◽

10.1177/09622802211008945 ◽

2021 ◽

pp. 096228022110089

Author(s):

Yun-Hee Choi ◽

Hae Jung ◽

Saundra Buys ◽

Mary Daly ◽

Esther M John ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Competing Risks ◽

Brca1 Mutation ◽

Prophylactic Surgery ◽

Time Varying ◽

Cancer Risks ◽

Competing Risks Model ◽

Time Varying Covariates ◽

Risk Reducing

Mammographic screening and prophylactic surgery such as risk-reducing salpingo oophorectomy can potentially reduce breast cancer risks among mutation carriers of BRCA families. The evaluation of these interventions is usually complicated by the fact that their effects on breast cancer may change over time and by the presence of competing risks. We introduce a correlated competing risks model to model breast and ovarian cancer risks within BRCA1 families that accounts for time-varying covariates. Different parametric forms for the effects of time-varying covariates are proposed for more flexibility and a correlated gamma frailty model is specified to account for the correlated competing events.We also introduce a new ascertainment correction approach that accounts for the selection of families through probands affected with either breast or ovarian cancer, or unaffected. Our simulation studies demonstrate the good performances of our proposed approach in terms of bias and precision of the estimators of model parameters and cause-specific penetrances over different levels of familial correlations. We applied our new approach to 498 BRCA1 mutation carrier families recruited through the Breast Cancer Family Registry. Our results demonstrate the importance of the functional form of the time-varying covariate effect when assessing the role of risk-reducing salpingo oophorectomy on breast cancer. In particular, under the best fitting time-varying covariate model, the overall effect of risk-reducing salpingo oophorectomy on breast cancer risk was statistically significant in women with BRCA1 mutation.

Download Full-text

Assessment of genetic referrals and outcomes for women with triple negative breast cancer in regional cancer centres in Australia

Hereditary Cancer in Clinical Practice ◽

10.1186/s13053-021-00176-z ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Lucie G. Hallenstein ◽

Carol Sorensen ◽

Lorraine Hodgson ◽

Shelly Wen ◽

Justin Westhuyzen ◽

...

Keyword(s):

Breast Cancer ◽

Genetic Testing ◽

Triple Negative Breast Cancer ◽

Triple Negative ◽

Cancer Genetics ◽

Eligibility Criteria ◽

Pathogenic Variants ◽

Genetics Services ◽

Age Of Diagnosis ◽

Over Time

Abstract Background Guidelines for referral to cancer genetics service for women diagnosed with triple negative breast cancer have changed over time. This study was conducted to assess the changing referral patterns and outcomes for women diagnosed with triple negative breast cancer across three regional cancer centres during the years 2014–2018. Methods Following ethical approval, a retrospective electronic medical record review was performed to identify those women diagnosed with triple negative breast cancer, and whether they were referred to a genetics service and if so, the outcome of that genetics assessment and/or genetic testing. Results There were 2441 women with newly diagnosed breast cancer seen at our cancer services during the years 2014–2018, of whom 237 women were diagnosed with triple negative breast cancer. Based on age of diagnosis criteria alone, 13% (31/237) of our cohort fulfilled criteria for genetic testing, with 81% (25/31) being referred to a cancer genetics service. Of this group 68% (21/31) were referred to genetics services within our regions and went on to have genetic testing with 10 pathogenic variants identified; 5x BRCA1, 4x BRCA2 and × 1 ATM:c.7271 T > G. Conclusions Referral pathways for women diagnosed with TNBC to cancer genetics services are performing well across our cancer centres. We identified a group of women who did not meet eligibility criteria for referral at their time of diagnosis, but would now be eligible, as guidelines have changed. The use of cross-discipline retrospective data reviews is a useful tool to identify patients who could benefit from being re-contacted over time for an updated cancer genetics assessment.

Download Full-text

Case series: Breast and ovarian cancer syndrome

10.1055/s-0039-1685348 ◽

2016 ◽

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Brca Mutation ◽

Family Members ◽

Case Series ◽

Second Primary ◽

Time Interval ◽

Breast And Ovarian Cancer ◽

Ovarian Carcinomas ◽

Increased Risk

Aims and Objectives: To report a series of cases with breast and ovarian carcinomas either in same patient or in a family and identifying the importance of BRCA 1,2 genetic testing in such individuals. Materials and Methods: The medical records of breast and ovarian cancer patients operated over past 3 years at a single institute were reviewed retrospectively and their clinical profile, family history, final pathological reports and follow up data was collected. Results: 8 patients were found to have breast and ovarian malignancies, out of which 3 had synchronous breast and ovarian cancers, 4 had metachronous and 1 patient with ovarian cancer had history of breast cancer in family. Median age of presentation to the hospital was 47 years and median time interval in metachronous disease patients was 5.5 years. Conclusion: About 5% of people who have breast cancer and about 10% of women who have ovarian cancer have HBOC, caused by germline mutation in BRCA1, 2 gene. These individuals have increased risk of developing breast cancer at younger age, TNBC, or developing a second primary in breast or ovary plus an overall risk of breast/ovarian/prostate/pancreatic malignancies in other family members due to inheritable mutation. Identification of BRCA mutation in such individuals can help family members to undergo genetic counseling and follow different screening and prevention guidelines from general population thus reducing the cancer risks.

Download Full-text