Randomized Phase III Study of Trastuzumab, Paclitaxel, and Carboplatin Compared With Trastuzumab and Paclitaxel in Women With HER-2–Overexpressing Metastatic Breast Cancer
Bibliographic record
Abstract
PURPOSE: This randomized, multicenter, phase III trial evaluated the efficacy and safety of trastuzumab and paclitaxel with or without carboplatin as first-line therapy for women with HER-2-overexpressing metastatic breast cancer (MBC). PATIENTS AND METHODS: HER-2 overexpression was defined as immunohistochemical staining scores of 2+ or 3+. Between November 1998 and May 2002, 196 women with HER-2-overexpressing MBC were randomly assigned to six cycles of either trastuzumab 4 mg/kg loading dose plus 2 mg/kg weekly thereafter with paclitaxel 175 mg/m2 every 3 weeks (TP), or trastuzumab 4 mg/kg loading dose plus 2 mg/kg weekly thereafter with paclitaxel 175 mg/m2 and carboplatin area under the time-concentration curve = 6 every 3 weeks (TPC) followed by weekly trastuzumab alone. RESULTS: Baseline characteristics of the 196 patients were well balanced between study arms. Objective response rate (ORR) was 52% (95% CI, 42% to 62%) for TPC versus 36% (95% CI, 26% to 46%) for TP (P = .04). Median progression-free survival (PFS) was 10.7 months for TPC and 7.1 months for TP (hazard ratio [HR], 0.66; 95% CI, 0.59 to 0.73; P = .03). Improved clinical outcomes with TPC were most evident in HER-2 3+ patients, with an ORR of 57% (95% CI, 45% to 70%) v 36% (95% CI, 25% to 48%; P = .03) and median PFS of 13.8 v 7.6 months (P = .005) for TPC and TP, respectively (HR, 0.55; 95% CI, 0.46 to 0.64). Both regimens were well tolerated, and febrile neutropenia and neurotoxicity occurred infrequently; grade 4 neutropenia occurred more frequently with TPC (P < .01). CONCLUSION: The addition of carboplatin to paclitaxel and trastuzumab improved ORR and PFS in women with HER-2-overexpressing MBC. This well-tolerated regimen represents a new therapeutic option.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".