A randomized phase II study of two different schedules of RAD001C in patients with recurrent/metastatic breast cancer
Bibliographic record
Abstract
3513 Background: RAD001C exerts antiproliferative and antiangiogenic effects by mTOR (mammalian target of rapamycin) inhibition. mTOR is critical in the transduction of proliferative signals mediated via the PI3K/Akt pathway. This signal transduction pathway is relevant to HER2 and ER signaling, and in PTEN mutated tumors, thus mTOR may be a central and relevant factor in breast cancer. Methods: Multi-center randomized phase II study assessing two oral schedules of RAD001C: Arm A (A)_10 mg daily, or Arm B (B)_70 mg weekly, assessed clinically each 4 weeks, imaged each 8 weeks. Eligibility: Patients (pts) with measurable metastatic breast cancer (MBC) who may have received adjuvant chemotherapy (CT), with up to one prior CT for advanced/recurrent disease. Stratification factors: 0 or 1 prior CT for MBC; presence/absence of visceral metastases. Primary endpoint: clinical/radiologic response and early progression (<8 wks). Two-stage accrual design with 15 evaluable pts in each arm in first phase. If =1 response and <10 early PD, add 15 pts. Arm B was discontinued after stage 1 as no responses were seen. A higher than expected occurrence of pneumonitis (Pn) occurred in both arms, higher in arm A. Results: Median age was 60yrs, 32 pts had prior CT, 20 pts had liver metastases. The most common drug related toxicities were fatigue, rash, anorexia, diarrhea, stomatitis, cough and pneumonitis; pulmonary effects appeared schedule related. (See results table below) Conclusions: Daily oral RAD001C has activity in MBC. The final results of this randomized Phase II trial will provide data to plan future breast cancer trials of RAD001C. [Table: see text] [Table: see text]
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".