Melphalan as a treatment for <i>BRCA</i> -related ovarian carcinoma: can you teach an old drug new tricks?: Figure 1
Bibliographic record
Abstract
Late-stage ovarian carcinoma is almost universally fatal. BRCA mutations are associated with an improved outcome and enhanced sensitivity to platinum chemotherapy, yet recurrence and platinum resistance remain a major problem and highly effective regimens following platinum failure do not yet exist. Here we report a remarkable case of cure following platinum-resistant stage III ovarian carcinoma in a woman with a BRCA2 mutation. The patient was subsequently treated with oral melphalan therapy and has not recurred in over 25 years. Melphalan is a bifunctional alkylator that creates inter- and intra-strand DNA cross-links. In a pharmaceutical screen, melphalan was shown to be selectively toxic to BRCA2-deficient breast cancer cell lines and produced a longer relapse-free survival in mice than did cisplatin or olaparib. There is increasing evidence to consider BRCA mutation status when selecting chemotherapy regimens, and melphalan treatment for BRCA-related ovarian cancer merits further investigation. Focusing attention on long-term survivors may provide new mechanistic insights into the biology of chemo-responsiveness.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".