Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Lunch and Poster Display session

165P - From bench to bedside: Functional domains of BRCA mutations for personalized medicine in breast cancer

Date

16 May 2024

Session

Lunch and Poster Display session

Presenters

Pablo Torres-Mozas

Citation

Annals of Oncology (2024) 9 (suppl_4): 1-9. 10.1016/esmoop/esmoop103181

Authors

P. Torres-Mozas1, F. Galvez Montosa1, R. Arenas Sola1, J. REQUENA AGUILAR1, J. Plata Fernández1, N. Luque Caro1, J.Z. Benoit Perejón1, A.L.O. Ortega Granados1, P. Sánchez-Rovira2

Author affiliations

  • 1 Hospital Universitario de Jaén, Jaén/ES
  • 2 Hospital Universitario de Jaén, 23007 - Jaén/ES

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 165P

Background

BRCA mutations are associated with a significant risk of breast cancer. Although there are data on the fact that different alterations in the genes can modulate this risk, they do not carry sufficient weight to modify the recommendations for follow-up or treatment, both because of the excessive fractionation of the data by specific mutations. The association by functional domains could represent an approach to the personalization of recommendations and patient follow-up, for which it is necessary to define and characterize these populations appropriately in order to look for differences between them.

Methods

We analyze 1987 germline studies performed in the Genetic Counseling Unit of the Hospital Universitario de Jaén. The domains are defined as follows: BRCA1: RING (8-96) DBD (452-1092) y BRCT (1650-1863) BRCA2: PALB2-BD (21-39) RAD51 (900-2085) y DBD (2459-3190).

Results

357 carriers were identified. 66% were female. 51.2% of BRCA1 mut. 22.4% had breast cancer, with 2 cases in males. The median age at diagnosis was 42 yr (24-76). The table shows epidemiological and clinical data of the patients, according to the affected domain. Median age at diagnosis was 42 yr in BRCA1 and 45 yr in BRCA2, with no statistically significant differences by domain. In BRCA1, 64% of luminal were BRCT-mut versus 48% of triple-negative, who showed a heterogeneous pattern in terms of mut distribution. Although a rare event, the majority of Her-2-positive patients had BRCA2 mutations (71%). As for patients with more than one tumor, ovarian cancer was detected in 7 cases, 4 due to mutations in RAD51. 8 more cases of second neoplasms were identified, 19% of the total. (Table). Table: 165P

BRCA 1 BRCA 2 TOTAL
RING DBD BRCT Others Total PALB2-BD RAD51 DBD Others Total
Intrinsic subtypes
Luminal 1 0 9 4 14 0 14 2 1 17 31
TN 2 2 14 11 29 0 5 1 2 8 37
Her2 0 0 1 1 2 1 3 0 1 5 7
Total 3 (6.38%) 2 (4.25%) 25 (52.12%) 19 (37.23%) 49 1 (3.27%) 23 (73.77 %) 3 (9.83%) 4 (13.11%) 31 80
Age at diagnosis
Media 42.33 59.5 41.54 42.42 42.4 51 46 43 39.83 45 43
Median 38 (36-56) 47 and 72 39.5 (26-68) 45 (24-70) 41 (24-72) 51 44 (30-76) 42 (29-60) 41.5 (32-47) 44 (29-76) 42 (24-76)

Conclusions

Characterization by functional domains can be a simple way to refine genetic counseling of patients carrying BRCA mut. There is evidence of trends towards different behaviors within each gene, although the data should be endorsed in multicenter real-life studies and yield data in less frequent mutations as well as in a wider range of tumors

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.