scholarly journals Participation of low-income women in genetic cancer risk assessment and BRCA 1/2 testing: the experience of a safety-net institution

2015 ◽  
Vol 7 (3) ◽  
pp. 177-183 ◽  
Author(s):  
Ian K. Komenaka ◽  
Jesse N. Nodora ◽  
Lisa Madlensky ◽  
Lisa M. Winton ◽  
Meredith A. Heberer ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Cancer Risk ◽  
Low Income ◽  
Safety Net ◽  
Cancer Risk Assessment ◽  
Brca 1 ◽  
Low Income Women

Prevalence & pathogenic features of hereditary breast/ovarian cancer syndromes: Implementation of a genetic/familiar cancer risk assessment unit.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13645-e13645
Author(s):  
Jorge Ramón ◽  
Laura Rodriguez Rey ◽  
Luis Eduardo García ◽  
Darío Sánchez Cabrero ◽  
Oliver Higuera ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Risk Assessment ◽  
Cancer Risk ◽  
Ductal Carcinoma ◽  
Locally Advanced ◽  
Cancer Risk Assessment ◽  
Prophylactic Surgery ◽  
High Grade ◽  
Brca 1 ◽  
Cancer Syndromes

e13645 Background: Currently studies found more than 25 genes associated with inherited Breast/Ovarian cancer. This syndrome shows morphologic, immunophenotic and molecular differences in comparison with sporadic ones. For example, BRCA1/2 are commonly ductal invasive carcinomas, with high grade of differentiation and high mitotic index, showing expression of basal o myoepithelial markers and overexpression of cell cycle proteins. Our study describe the outcomes since the implementation of Genetic/Familiar cancer risk assessment a tertiary hospital. Methods: A retrospective chart review was performed among all patients evaluated in Genetic counseling clinic in our hospital, since September 2008 to March 2019. Patients who fulfill criteria for Breast/Ovarian Cancer syndromes were included. We were specially interested in those with pathogenic, likely pathogenic or uncertain significance variants. All variants were named according to the practice of the BIC database, and the GenBank entries. Description on clinical features of tumor and frequency of implicated genes are considered for statistical analysis. All data were calculated in Stata IC 15. Results: 320 patients were eligible, 62,2% (n = 199) had cancer diagnosis. The most frequent tumor diagnosis was breast, 68,8% (n = 137), featured by: ductal carcinoma (82,5%), high grade differentiation (55,2%), triple negative (22,6%), local/locally advanced stage (86,13%) and bilateral component (16,1%). 11,6% had Breast cancer and 3,4% Ovarian cancer as second malignancies, respectively. Variant alterations were found in 24 different genes. BRCA 2 had the highest frequency (40,9%; n = 139 variants detected), BRCA 1 (24,7%; n = 84), ATM(7,4%; n = 25), PALB2(5,3%;n = 18) and BRIP1(2,9%, n = 10). 230 variants (68,3%) were pathogenic or likely pathogenic variants. Pathogenic mutation variant distribution in BRCA2 were c.3264dupT (n = 12); c.6275_6276delTT (n = 8); c.9026_9030delATCAT (n = 8). The most frequent mutations in BRCA1 were: c.1674delA (n = 7); c.302-1G > A (n = 4); c.3331_3334delCAAG(n = 4). Among all patient with BRCA 1/2 mutations, 30,7% were undergone to prophylactic surgery, without statistical association with survival (p = 0,310). Conclusions: Our findings support literature about highly relation between BRCA1/2 and Breast/Ovarian Cancer. In our population, BRCA2 showed high frequency of pathogenic mutations. Patients with BRCA mutations and prophylactic mastectomy did not show statistical benefit in survival.

Breast Cancer Risk Assessment: Moving Beyond BRCA 1 and 2

2016 ◽  
Vol 26 (1) ◽  
pp. 3-8 ◽  
Author(s):  
Jennifer Scalia-Wilbur ◽  
Bradley L. Colins ◽  
Richard T. Penson ◽  
Don S. Dizon
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Risk Assessment ◽  
Breast Cancer Risk Assessment ◽  
Brca 1

Risk assessment of ethyl carbamate in alcoholic beverages in Korea using the margin of exposure approach and cancer risk assessment

Food Control ◽  
2021 ◽  
Vol 124 ◽  
pp. 107867
Author(s):  
Sunghyeon Jung ◽  
Seungmin Kim ◽  
Inhwan Kim ◽  
Myung-Sub Chung ◽  
BoKyung Moon ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Cancer Risk ◽  
Ethyl Carbamate ◽  
Alcoholic Beverages ◽  
Cancer Risk Assessment ◽  
Margin Of Exposure

scholarly journals Towards radiologist-level cancer risk assessment in CT lung screening using deep learning

2021 ◽  
pp. 101883
Author(s):  
Stojan Trajanovski ◽  
Dimitrios Mavroeidis ◽  
Christine Leon Swisher ◽  
Binyam Gebrekidan Gebre ◽  
Bastiaan S. Veeling ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Deep Learning ◽  
Cancer Risk ◽  
Cancer Risk Assessment ◽  
Lung Screening
Sign in / Sign up

Export Citation Format

Share Document