Experience of BRCA1/2 mutation-negative young women from families with hereditary breast and ovarian cancer: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Little is known about the experience of young women who become aware of their parent's BRCA1 or BRCA2 (BRCA) mutation status as adolescents or young adults. There is also currently a gap in the literature pertaining to those who are found to be negative for their familial mutation. We aimed to investigate the experience of these mutation-negative young women from hereditary breast and ovarian cancer (HBOC) families. METHODS: Using a semi-structured questionnaire we interviewed 8 women. All of the women were non-carriers of their familial mutation and had learned of the mutation in their family as adolescents or young adults at least 6 months prior to undergoing genetic testing. All interviews were audio recorded, transcribed, and independently analyzed by the investigators. This was followed by an in-depth cross-case analysis, enabling the formulation of emergent themes. RESULTS: The women's age ranged from 22 to 37 years old and all were of Ashkenazi Jewish descent. Prominent emergent themes from the interviews included the impact of how and when the familial mutation status was disclosed, the factors influencing when a young woman chooses to undergo predictive genetic testing, the predictors of post-test adjustment and risk perception, as well as the impact of familial cancer experience versus the familial mutation. CONCLUSIONS: By eliciting detailed patient narratives we have begun to show that this generation of BRCA mutation-negative young women is likely still affected by the degree of cancer history in their family, even with their understanding of the genetic contribution to disease. Larger studies with tightened participant characteristics, as well as studies involving women from different cultural backgrounds, are needed to further define the experience and needs of true negative young women from HBOC families.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".