Back

Germline Mutations Associated with Triple Negative Breast Cancer in US Hispanic and Guatemalan Women using Hospital and Community-Based Recruitment Strategies

Godinez Paredes, J.; Rodriguez, I.; Ren, M.; Orozco, A.; Ortiz, J.; Albanez, A.; Jones, C.; Nahleh, Z.; Barreda, L.; Garland, L.; Torres Gonzalez, E.; Wu, D.; Luo, W.; Liu, J.; Argueta, V.; Orozco, R.; Gharzouzi, E.; Dean, M.

2023-07-03 oncology
10.1101/2023.07.01.23292051 medRxiv
Show abstract

PurposeIdentify optimum strategies to recruit Latin American and Hispanic women into genetic studies of breast cancer. We evaluated hospital and community-based recruitment strategies. MethodsWe used targeted gene sequencing to identify mutations in DNA from unselected Hispanic breast cancer cases from community and hospital-based recruitment in the US and Guatemala. ResultsWe recruited 287 Hispanic US women, 38 (13%) from community-based and 249 (87%) from hospital-based strategies. In addition, we ascertained 801 Guatemalan women using hospital-based recruitment. In our experience, a hospital-based approach was more efficient than community-based recruitment. In this study, we sequenced 103 US and 137 Guatemalan women and found 11 and 10 pathogenic variants, respectively. The most frequently mutated genes were BRCA1, BRCA2, CHEK2, and ATM. In addition, an analysis of 287 US Hispanic patients with pathology reports showed a significantly higher percentage of triple-negative disease in patients with pathogenic mutations (41% vs. 15%). Finally, an analysis of mammography usage in 801 Guatemalan patients found reduced screening in women with a lower socioeconomic status (P<0.001). ConclusionsGuatemalan and US Hispanic women have rates of hereditary breast cancer mutations similar to other populations and are more likely to have early age at diagnosis, a family history, and a more aggressive disease. Patient recruitment was higher using hospital-based versus community enrollment. This data supports genetic testing in breast cancer patients to reduce breast cancer mortality in Hispanic women.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Cancer Epidemiology, Biomarkers & Prevention
17 papers in training set
Top 0.1%
14.5%
2
JNCI Cancer Spectrum
10 papers in training set
Top 0.1%
12.6%
3
PLOS ONE
4510 papers in training set
Top 22%
8.5%
4
Cancers
200 papers in training set
Top 0.5%
8.5%
5
JAMA Network Open
127 papers in training set
Top 0.3%
6.9%
50% of probability mass above
6
Cancer Medicine
24 papers in training set
Top 0.2%
4.9%
7
Annals of Oncology
13 papers in training set
Top 0.1%
4.3%
8
Scientific Reports
3102 papers in training set
Top 44%
2.8%
9
Breast Cancer Research
32 papers in training set
Top 0.2%
2.4%
10
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.5%
2.1%
11
BMC Cancer
52 papers in training set
Top 1%
1.9%
12
Diagnostics
48 papers in training set
Top 0.8%
1.9%
13
Frontiers in Oncology
95 papers in training set
Top 2%
1.8%
14
npj Genomic Medicine
33 papers in training set
Top 0.4%
1.7%
15
International Journal of Cancer
42 papers in training set
Top 0.7%
1.7%
16
npj Breast Cancer
18 papers in training set
Top 0.1%
1.5%
17
JCO Precision Oncology
14 papers in training set
Top 0.3%
1.2%
18
Genetics in Medicine
69 papers in training set
Top 0.8%
1.1%
19
JNCI: Journal of the National Cancer Institute
16 papers in training set
Top 0.5%
1.0%
20
Annals of Epidemiology
19 papers in training set
Top 0.4%
0.9%
21
European Journal of Human Genetics
49 papers in training set
Top 1%
0.8%
22
BMC Research Notes
29 papers in training set
Top 0.5%
0.8%
23
International Journal of Epidemiology
74 papers in training set
Top 2%
0.8%
24
Human Mutation
29 papers in training set
Top 0.7%
0.8%
25
Human Molecular Genetics
130 papers in training set
Top 3%
0.8%
26
PeerJ
261 papers in training set
Top 15%
0.8%
27
BMJ Open
554 papers in training set
Top 13%
0.8%
28
JCO Clinical Cancer Informatics
18 papers in training set
Top 0.8%
0.8%
29
Nature Communications
4913 papers in training set
Top 62%
0.8%
30
PLOS Medicine
98 papers in training set
Top 5%
0.7%