A Case of Complete Response to Letrozol Treatment in a Postmenopausal Woman With Breast Cancer Who has Progressed After Multiple Lines of Chemotherapy
Bibliographic record
Abstract
Approximately 60% of all breast cancers are endocrine dependent. Postmenopausal patients who have positive hormone receptor status are eligible for aromatase inhibitor treatment. Letrozole is a potent, selective, non-steroidal, third-generation aromatase inhibitor which reduces oestrogen biosynthesis approximately 99% at the dose of 2.5 mg/day. We report a 54-years-old female patient diagnosed with grade 2 invasive ductal carcinoma of the breast. She received adjuvant chemotherapy, followed by 5 years of tamoxifen. After 8 years, recurrence appeared in lung, supraclavicular lymph nodes and brain. She had many cycles of cytotoxic chemotherapeutic agents, trastuzumab and lapatinib previously. After the progression (lung and brain), palliative therapy was thought due to very poor performance status of the patient. (ECOG: 3) Letrozole was added in the treatment and we obtained near-complete remission from her lung and brain metastasis with 2.5 mg/day dose of letrozole. This study might support successfully use of aromatase inhibitors in patients who has been previously treated with multiple lines of chemotherapy and had still progressive disease.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| 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".