A phase II trial of neoadjuvant doxorubicin plus cyclophosphamide followed by lapatinib plus docetaxel sequential with adjuvant trastuzumab for treatment of early HER2 positive breast cancers
Bibliographic record
Abstract
Background: The use of HER2 targeting therapy has revolutionized the treatment of HER2 positive breast cancers. Here, we investigate whether a sequential approach to dual HER2 blockade of lapatinib followed by trastuzumab will result in improved clinical outcomes.Methods: This was a single institution, open label, single arm, phase II trial in women with HER2 positive breast cancer. Volunteers were treated with sequential neoadjuvant doxorubicin (60 mg/m2) and cyclophosphamide (600 mg/m2) (AC) for 4 cycles followed by docetaxel (100 mg/m2) concurrent with lapatinib (1,250 mg) (TL) daily for 21 days for four cycles before definitive surgery. The primary end point was pathologic complete response (pCR).Results: The study accrued only 21 of the 71 planned patients from 2/28/2007 to 5/25/2010. All patients (100%) experienced down staging. The pCR rate was 41% (7/18). 11 patients had tumor size of T3 or greater, 3 of which experienced pCR and only 1 underwent breast conservation (lumpectomy). The most common hematologic AE (all grades) was anemia 17/21 (81%). There were no incidences of grade 3 or 4 anemia. 10 of 21 (48%) patients experience a non-hematologic grade 3 AE. The most common non-hematologic AEs (all grades) were irregular menses 20/21 (95%) and hand-foot-skin reactions 20/21 (95%). No increase cardiac abnormalities were noted. The DFS at data cut off was 87.5%.Conclusion: The provocative pCR and DFS results in this high risk locally advanced patient population should be viewed with caution given results of the Adjuvant Lapatinib And/Or Trastuzumab Treatment Optimisation study (ALTTO) clinical trial.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".