Variation in risk management choice for women with different high risk breast cancer gene mutations in a single UK centre Wattoo G, Morgan J, Dyer C, Wyld L, Langdale B.

2021 ◽  
Vol 47 (2) ◽  
pp. e1
Author(s):  
Ghulam Wattoo
Keyword(s):  
Breast Cancer ◽  
Risk Management ◽  
High Risk ◽  
Gene Mutations ◽  
Cancer Gene ◽  
High Risk Breast Cancer ◽  
High Risk Breast ◽  
Risk Breast Cancer ◽  
Management Choice ◽  
Breast Cancer Gene

scholarly journals Prevalence of BRCA1 and BRCA2 gene mutations in Chinese patients with high‐risk breast cancer

2019 ◽  
Vol 7 (6) ◽  
Author(s):  
Xiaozhen Wang ◽  
Haimeng Liu ◽  
Amina Maimaitiaili ◽  
Gang Zhao ◽  
Sijie Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Gene Mutations ◽  
Brca2 Gene ◽  
Chinese Patients ◽  
Brca1 And Brca2 ◽  
High Risk Breast Cancer ◽  
High Risk Breast ◽  
Risk Breast Cancer

Are ATM Mutations 7271T→G and IVS10-6T→G Really High-Risk Breast Cancer-Susceptibility Alleles?

2004 ◽  
Vol 64 (3) ◽  
pp. 840-843 ◽  
Author(s):  
Csilla I. Szabo ◽  
Mieke Schutte ◽  
Annegien Broeks ◽  
Jeanine J. Houwing-Duistermaat ◽  
Yvonne R. Thorstenson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
High Risk Breast Cancer ◽  
High Risk Breast ◽  
Risk Breast Cancer

Abstract PS1-06: High-risk breast cancer in oldest old: Exploring the effect of different treatments on outcomes

2021 ◽  
Author(s):  
Abdulla Al-Rashdan ◽  
Yuan Xu ◽  
Lisa Barbera ◽  
Jeffrey Cao ◽  
Winson Cheung ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Oldest Old ◽  
High Risk Breast Cancer ◽  
High Risk Breast ◽  
Risk Breast Cancer

Predicting reattendance at a high-risk breast cancer clinic

2015 ◽  
Vol 13 (5) ◽  
pp. 1441-1448 ◽  
Author(s):  
Sarah R. Ormseth ◽  
David K. Wellisch ◽  
Adam E. Aréchiga ◽  
Taylor L. Draper
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Perceived Risk ◽  
Depressive Symptomatology ◽  
High Risk Breast Cancer ◽  
High Risk Breast ◽  
Risk Breast Cancer ◽  
Cancer Clinic ◽  
High Risk Clinic

AbstractObjective:The research about follow-up patterns of women attending high-risk breast-cancer clinics is sparse. This study sought to profile daughters of breast-cancer patients who are likely to return versus those unlikely to return for follow-up care in a high-risk clinic.Method:Our investigation included 131 patients attending the UCLA Revlon Breast Center High Risk Clinic. Predictor variables included age, computed breast-cancer risk, participants' perceived personal risk, clinically significant depressive symptomatology (CES–D score ≥ 16), current level of anxiety (State–Trait Anxiety Inventory), and survival status of participants' mothers (survived or passed away from breast cancer).Results:A greater likelihood of reattendance was associated with older age (adjusted odds ratio [AOR] = 1.07, p = 0.004), computed breast-cancer risk (AOR = 1.10, p = 0.017), absence of depressive symptomatology (AOR = 0.25, p = 0.009), past psychiatric diagnosis (AOR = 3.14, p = 0.029), and maternal loss to breast cancer (AOR = 2.59, p = 0.034). Also, an interaction was found between mother's survival and perceived risk (p = 0.019), such that reattendance was associated with higher perceived risk among participants whose mothers survived (AOR = 1.04, p = 0.002), but not those whose mothers died (AOR = 0.99, p = 0.685). Furthermore, a nonlinear inverted “U” relationship was observed between state anxiety and reattendance (p = 0.037); participants with moderate anxiety were more likely to reattend than those with low or high anxiety levels.Significance of Results:Demographic, medical, and psychosocial factors were found to be independently associated with reattendance to a high-risk breast-cancer clinic. Explication of the profiles of women who may or may not reattend may serve to inform the development and implementation of interventions to increase the likelihood of follow-up care.

scholarly journals Gene Panel Sequencing in a Chinese High-risk Breast Cancer Cohort

2019 ◽  
Author(s):  
Xianyu Zhang ◽  
Xiaohong Wang ◽  
Bingbing Song ◽  
Kang Shao ◽  
Guibo Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Gene Sequencing ◽  
Multiple Gene ◽  
Brca Gene ◽  
Pathogenic Variants ◽  
Cancer Susceptibility Genes ◽  
High Risk Breast Cancer ◽  
High Risk Breast ◽  
Risk Breast Cancer

AbstractCurrently, over 20 genes have been defined that can confer susceptibility for high-risk breast cancer. Although research has proved the utility of multiple-gene sequencing in the assessment of breast cancer risk, there is little data from China patients. Here, we use a multiple-gene sequencing panel to identify the variant spectrum in Chinese high-risk breast cancer subjects.A total of 829 Chinese high-risk breast cancer patients participated in the research. The coding regions of 115 hereditary cancer susceptibility genes were sequenced using a next generation sequencing platform. In total, 193 pathogenic variants were identified in 45 genes from 177 patients. The pathogenic variant carrier rate is 21.4%: with 10.5% patients carrying a BRCA1 or BRCA2 mutation only, 10.0% of patients carried non-BRCA gene mutations only, while 1.0% of patients carried both a BRCA1/2 and a non-BRCA gene mutation. Variants of uncertain significance (VUS) totaling 2632 were identified in 115 genes from 787 of 829 patients: 82.5% patients carried more than one VUS, and only 5.1% patients did not carry any VUS. Families carrying pathogenic variants were tracked and adenoma was founded in three of them. Our data provide a comprehensive analysis of potential susceptibility variations of high-risk for breast cancer in a Chinese population. This data will be useful for the comparison of the susceptibility variation spectrum between different populations and to discover potential pathogenic variants to improve the prevention and treatment of high-risk breast cancer.

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