Improved Survival of HER2-Positive Metastatic Breast Cancer in Routine Care
Bibliographic record
Abstract
Purpose: Targeted therapy directed against HER2 has improved the outcome of patients with HER2-positive metastatic breast cancer in prospective clinical trials. No data are available how anti-HER2-therapy has influenced survival of unselected patients with HER2-positive metastatic breast cancer who receive treatment in routine care. Methods: Data of 118 subsequent patients with HER2-positive metastatic breast cancer who were treated in a community-based oncology group practice between 1995 and 2010 were analyzed retrospectively. Results: Median age at initial diagnosis of metastasis was 58 years (33-92). Twenty-two percent were metastasized at diagnosis of breast cancer, seventy-eight percent developed metastases in the course of the disease. Distribution of metastatic sites at initial diagnosis of metastasis was: 23% bone, 58% visceral, 5% CNS, 10% lymph nodes, 4% other. Hormone receptor was positive in 68% and negative in 31%. Palliative treatment consisted of antihormonal therapy in 56%, chemotherapy in 90% and radiotherapy in 50%. Seventy-five percent received anti-HER2-therapy consisting of trastuzumab in 80% and lapatinib in 1%, 19% received trastuzumab + lapatinib sequentially. Twenty-five percent received no anti-HER2-therapy. Median overall survival since initial diagnosis of metastasis was 34 months (0-277+). Conclusion: It could be shown that, compared to historical controls, targeted therapy against HER2 prolongs overall survival of patients with HER2-positive metastatic breast cancer who receive treatment in routine care.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".