Activity of T-DM1 in HER-2 positive central nervous system breast cancer metastases
Bibliographic record
Abstract
A 55-year-old woman with metastatic human epidermal growth factor receptor 2 (HER-2) positive breast cancer (BC) to the lungs and bones was diagnosed with central nervous system (CNS) metastases in November 2011. The MRI showed a right parietal lobe mass with adjacent leptomeningeal disease and several small bilateral cerebellar metastases. She was treated with whole brain irradiation (WBI), followed by capecitabine and lapatinib (December 2011-March 2013) and trastuzumab and lapatinib (May 2013-August 2013). Then, the brain MRI showed progression. In the absence of significant neurological symptoms, we postponed WBI and closely monitored for the development of neurological symptoms. Systemic treatment with trastuzumab emtansine (T-DM1), an antibody-drug conjugate composed of the cytotoxic agent DM1 conjugated to trastuzumab, was initiated in September 2013 to control systemic disease. Unexpectedly, after two cycles of treatment the brain MRI showed a decrease in size of CNS metastases. This case report suggests possible activity of T-DM1 in HER-2 positive BC with CNS metastases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".