Metastatic Breast Cancer in a Patient with Fanconi Anemia
Bibliographic record
Abstract
Abstract Fanconi anemia (FA) is a rare inherited disorder characterized by progressive bone marrow failure, congenital malformations and a propensity for developing malignancies at an early age. The underlying genetic defect in FA creates a state of cellular hypersensitivity to many traditional chemotherapy agents, making the treatment of malignancies in this population particularly challenging. We describe a 42-year-old female who presented with a solitary mass in her left breast. Core biopsy revealed an invasive ductal carcinoma that did not express estrogen (ER) or progesterone receptors (PR), but did express human epidermal growth factor receptor 2 (HER2). Staging work-up revealed diffuse skeletal metastatic disease. At her initial consultation with medical oncology, she was discovered to be pancytopenic. Further history revealed a sibling with aplastic anemia and that she had undergone chromosomal breakage testing for FA in the past, which was subsequently confirmed to be positive. She underwent a bone marrow aspirate and biopsy that showed metastatic marrow infiltration by non-hematopoietic cells. In addition there was morphological evidence of dyserythropoiesis and cytogenetic abnormalities on karyotyping, features suggestive of FA. She was initially started on trastuzumab monotherapy. Low dose radiation therapy was added due to local tumor progression. Combined HER2 directed therapy was to be implemented, but was held due to a functional decline in the patient. To date, she has not received definitive genetic testing to determine which FA subgroup she belongs to. This case highlights two important aspects of FA. The first is the inherent increase in susceptibility to neoplasms in this group, including solid tumors such as breast cancer. The genes associated with FA are involved in deoxyribonucleic acid (DNA) repair pathways, including mutations in the breast cancer susceptibility gene, BRCA2. The second is the heightened sensitivity to the toxic effects of many standard chemotherapy and radiation treatments. This creates unique challenges in the treatment of malignancies in this population and stresses the importance of targeted therapies. Disclosures No relevant conflicts of interest to declare.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".