Predominance of BRCA2 mutation and estrogen receptor-positive breast cancer among BRCA1/2 mutation carriers.
Bibliographic record
Abstract
Abstract Background: PARP inhibitor (PARPi) agents can improve progression-free survival of patients with breast cancer (BC) who carry a germline BRCA1 or BRCA2 pathogenic or likely pathogenic variant (gBRCA1/2) in both the metastatic and adjuvant setting. Therefore, we need to redefine the criteria of women and tumor phenotype that should be tested for gBRCA1/2. Objective: We studied the relative distribution of gBRCA1 and gBRCA2 in unselected populations of women with BC and in unaffected individuals. We also analyzed the proportion of estrogen receptor (ER)-positive (ER+) tumors in unselected BC patients with gBRCA1/2.Design: We performed a meta-analysis of studies of unselected BC that analyzed the relative contribution of gBRCA1 versus gBRCA2 and ER+ tumors among gBRCA1/2 carriers. We then performed a meta-analysis of gBRCA1/2 carriage in unaffected individuals, from genome-wide population studies, the gnomAD databank, and case–control studies. Results: The BRCA2 gene was involved in 54% of BC in unselected patients with gBRCA1/2 (n=108,699) and 59% of unaffected individuals (n=238,973) as compared with 38% of gBRCA1/2 family cohorts (n=29,700). The meta-analysis showed that 1.66% (95% CI 1.08-2.54) and 1.71% (95% CI 1.33-2.2) of unselected BC patients carried a gBRCA1 and gBRCA2, respectively. In unaffected individuals, the frequency of heterozygosity for gBRCA1 and gBRCA2 was estimated at 1/434 and 1/288, respectively. Nearly 0.5% of unaffected individuals in the studied populations carried a gBRCA1/2. Overall, 58% of breast tumors occurring in women carrying a gBRCA1/2 were ER+ (n=86,870).Conclusion: This meta-analysis showed that gBRCA2 carriage is predominant in unselected BC and in unaffected individuals. ER+ tumors among women with gBRCA1/2-related BC is predominant and has been underestimated. Because PARPi agents improve progression-free survival with ER+ gBRCA1/2 BC in both the adjuvant and metastatic setting, BC should be considered regardless of ER status for BRCA1/2 screening for therapeutic purposes.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.009 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".