Bibliographic record
Abstract
Anti-aromatase agents now have a central role in the management of breast cancer in postmenopausal women; they are superior to megestrol acetate as second-line therapy and to tamoxifen for initial therapy of metastatic disease. They also are highly active as neoadjuvant therapy. Two classes of anti-aromatase agents are available: steroidal (eg, exemestane) and nonsteroidal (eg, anastrozole, letrozole). Although both types of agents act on the aromatase enzyme, they do so by different mechanisms and have different effects on cellular aromatase activity. Nonsteroidal agents are associated with increased aromatase enzyme content and steroidal agents are associated with decreased content. The increase in aromatase content seen with the nonsteroidal agents may in part explain the development of resistance with these agents and the ability of the steroidal agent exemestane to induce a response when nonsteroidal agents fail. Because the anti-aromatase agents almost completely eliminate endogenous estrogen production, they not only affect breast cancer tissues, but also may alter the function of other estrogen-responsive tissues. However, preclinical data show that the steroidal agent exemestane may actually improve bone and lipid metabolism. In addition, no increase in clinical fracture rate has been noted in women treated with exemestane in metastatic trials; the fracture risk has not yet been studied following prolonged exposure in healthy women. Exemestane associated beneficial effects on these end organs may be due to the steroidal nature of both the parent compound and its principal metabolite, 17-hydroexemestane. Similar benefits have not been reported with nonsteroidal antiaromatase agents. Based on their excellent activity in the metastatic setting, anti-aromatase agents are now being evaluated in the adjuvant setting and in pilot studies for chemoprevention. These studies will provide long-term data in healthy women and will help to differentiate anti-aromatase agents, in terms of their efficacy in the treatment of breast cancer and their effects on end organs.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".