A Case Report on Prolonged Response with Trastuzumab Emtansine (T-DM1) in Recurrent Advance Breast Cancer Setting
Bibliographic record
Abstract
Breast cancer holds the dubious distinction of being the most prevalent malignant tumor among women worldwide the 5 year survival rate for patients with advanced or metastatic forms of the disease is estimated at a mere 23%, with approximately 20% of cases exhibiting an amplification of the human epidermal growth factor receptor 2 (HER2). HER2 overexpression was linked to a dismal prognosis prior to the advent of targeted HER2 therapies. The introduction of ado-trastuzumab emtansine (T-DM1) has emerged as one of the standard treatment options for HER2-positive breast cancer patients who experience a recurrence or progression of the disease. This case concerns a patient with recurrent metastatic breast cancer who achieved an unusually extended period of time without the disease progressing while on T-DM1 treatment. After experiencing disease progression on multiple treatment lines involving trastuzumab, the patient achieved a nearly complete clinical remission (cCR) with T-DM1 therapy. The availability of cost-effective biosimilars has expanded access to advanced biologic therapies, which were previously limited to a small segment of the population due to the cost barrier.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.008 |
| 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".