Accelerating drug access from advanced to early breast cancer: the special case of oral selective estrogen receptor degraders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: For hormone receptor positive breast cancer, the development of endocrine resistance commonly occurs, presenting as either disease progression in the metastatic setting or recurrence during or following adjuvant endocrine therapy. Various mechanisms of resistance have been described. In order to reduce or overcome endocrine resistance, there has been substantial interest in developing potent and orally bioavailable selective estrogen receptor degraders (SERDs) for metastatic disease and select patients with early-stage estrogen receptor positive breast cancer. RECENT FINDINGS: At least 11 oral SERDs have entered clinical development. We review current studies in both the metastatic and neoadjuvant/adjuvant setting and present the available evidence of benefit and toxicity for these novel agents. Further characterization of changes to tissue-based biomarkers such as estrogen receptor, progesterone receptor and Ki67 expression and blood-based biomarkers such as ctDNA and estrogen receptor 1 mutation may help to refine therapeutic strategies, combinations, and patient selection to identify women who are most likely to benefit from these novel endocrine agents. SUMMARY: Although SERDs have clear therapeutic potential based on nonclinical studies and have demonstrated early signs of activity in phase I and II studies in the metastatic setting, ongoing research is needed to clarify when and in whom these agents may have greatest clinical benefit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it