Abstract GS1-08: Association between risk-reducing surgeries and survival in young BRCA carriers with breast cancer: results from an international cohort study
Bibliographic record
Abstract
Abstract Background: In carriers of germline pathogenic/likely pathogenic variants (PVs) in BRCA1 and/or BRCA2 genes, cancer risk management strategies are widely recommended. While risk-reducing salpingo-oophorectomy (RRSO) has shown to improve overall survival (OS), bilateral risk-reducing mastectomy (RRM) reduces the risk of developing breast cancer (BC) but has no proven OS benefit. Very limited evidence exists on RRSO and/or RRM specifically in BRCA carriers with prior BC diagnosis at a young age. Here we investigated the association between RRM and/or RRSO with survival outcomes in the largest global cohort of young BRCA carriers with BC. Methods: The BRCA BCY Collaboration (NCT03673306) is an international, multicenter, hospital-based, retrospective cohort study including women harboring germline BRCA1 and/or BRCA2 PVs and diagnosed between January 2000 and December 2020 with stage I-III invasive BC at the age of 40 years or younger. Patients with no information on uptake or timing of RRM and/or RRSO, or their uptake before BC diagnosis and BRCA healthy carriers were excluded. Primary endpoint was OS. Disease-free survival (DFS) and BC-free interval (BCFI) were secondary endpoints. Survival endpoints were computed from BC diagnosis. To account for potential lead time bias, in the primary analysis Cox models were used to explore the association between RRM and RRSO both included as time-dependent covariates and survival outcomes. Stratification factors were year at BC diagnosis, region/country and nodal status; OS models were also adjusted by development of distant recurrences/second primary malignancies as time-dependent covariates. In addition, sensitivity analyses were performed including a 3-year landmark analysis and a subgroup analysis including only patients tested for BRCA before or within 6 months from BC diagnosis. Results: From 109 centers in 5 continents, 5290 patients were included. Median age at BC diagnosis was 35 years (IQR 31-38). A total of 3361 (63.5%) patients were BRCA1 carriers, 2708 (51.2%) had node-negative and 2421 (45.8%) hormone receptor-positive (HR+) BC. A total of 2910 (55.0%) patients underwent RRM and 2782 (52.6%) RRSO. Median time from BC diagnosis to RRM was 0.8 years (IQR 0.5-2.7) and to RRSO was 3.0 years (IQR 1.3-6.8); median follow-up was 5.1 years (IQR 2.7-8.3) after RRM and 4.9 years (IQR 2.3-8.1) after RRSO. At a median follow-up of 8.2 years (IQR, 4.7-12.8), 686 (13.0%) OS, 1923 (36.3%) DFS and 1751 (33.1%) BCFI events were observed. RRM was associated with a significantly reduced risk of OS events (adjusted HR [aHR] 0.65, 95% CI 0.53-0.78). This association was observed irrespective of specific BRCA gene, age at BC diagnosis, tumor subtype, tumor size and nodal status. RRM was also associated with a significantly reduced risk of DFS (aHR 0.58, 95% CI 0.52-0.65) and BCFI (aHR 0.55, 95% CI 0.48-0.62) events. RRSO was associated with a significantly reduced risk of OS events (aHR 0.58, 95% CI 0.48-0.71). This association was observed irrespective of age at BC diagnosis, tumor size and nodal status. A significant interaction was observed according to specific BRCA gene (BRCA1 carriers: aHR 0.44, 95% CI 0.34-0.57; BRCA2 carriers: aHR 0.85, 95% CI 0.64-1.15) and tumor subtype (triple-negative BC: aHR 0.44, 95% CI 0.33-0.58; HR+ BC: aHR 0.80, 95% CI 0.60-1.05). RRSO was also associated with a significantly reduced risk of DFS (aHR 0.68, 95% CI 0.61-0.77) and BCFI (aHR 0.65, 95% CI 0.57-0.74) events. Sensitivity analyses provided consistent results. Conclusions: In this unique international cohort of BRCA carriers with prior BC diagnosis at a young age, RRM and RRSO were both associated with a significant improvement in OS, DFS and BCFI. These findings are critical for improving the counseling of young BRCA carriers with BC on cancer risk management strategies. Citation Format: Matteo Lambertini, Amir Sonnenblick, Elisa Agostinetto, Raphaëlle Bas, Hee Jeong Kim, Maria Alice Franzoi, Rinat Bernstein Molho, Sabine Linn, Ava Kwong, Katarzyna Pogoda, Judith Balmana, Ann Smeets, Jyoti Bajpai, Halle C.F. Moore, Ann H. Partridge, Kelly-Anne Phillips, Angela Toss, Christine Rousset-Jablonski, Fedro A. Peccatori, Tiphaine Renaud, Alberta Ferrari, Shani Paluch-Shimon, Pablo Mando, Jeong Eon Lee, Robert Fruscio, Wanda Cui, Stephanie M. Wong, Claudio Vernieri, Kathryn J. Ruddy, Maria Vittoria Dieci, Alexios Matikas, Mariya Rozenblit, Deniz Can Guven, Minna Lee, Cynthia Villarreal-Garza, Shelley E. Hwang, Laura De Marchis, Fabio Puglisi, Zoe Kemp, Pedro A. Meireles, Anastasia Parokonnaya, Gustavo Werutsky, Maiko Okano, Hatem A. Azim, Kleida Mati, Shoshana Rosenberg, Richard Gelber, Luca Boni, Eva Blondeaux. Association between risk-reducing surgeries and survival in young BRCA carriers with breast cancer: results from an international cohort study [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2024; 2024 Dec 10-13; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(12 Suppl):Abstract nr GS1-08.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".