Outcomes of patients treated with capecitabine and temozolamide for advanced pancreatic neuroendocrine tumors (PNETs) and non-PNETs.
Bibliographic record
Abstract
BACKGROUND: Retrospective studies have demonstrated high response rates among patients with advanced pancreatic neuroendocrine tumors (PNETs) treated with capecitabine and temozolamide (CapTem), while responses are infrequently seen among non-PNETs. The objective of the study was to describe progression free survival (PFS) among neuroendocrine tumor (NET) patients treated with CapTem, and to identify factors associated with better activity. METHODS: Patients who were referred to one of five provincial cancer treatment centers between 2009 and 2013 for advanced NETs and initiated CapTem were included. Patients received Cap 1,500 mg/m(2) on days 1-14 and TMZ 200 mg/m(2) on days 10-14 every 28 days. Their characteristics and outcomes were retrospectively analyzed. RESULTS: In our cohort, 29 patients (16 males) with a median age of 59 (range 26-76) received palliative CapTem, 15 of them as first-line chemotherapy. Primary tumors included pancreas (48.3%), small bowel (20.7%), lung (10.3%), unknown (10.3%), rectum (6.9%) and appendix (3.4%). Median number of cycles was three. Fifteen patients (51.7%) received CapTem as first-line chemotherapy and 14 (48.3%) as subsequent lines. Median PFS for the entire cohort was 4.7 months. PNETs had a median PFS of 4.9 months compared to 2.8 months for non-PNETs (P=0.178). Patients with PNETs who received CapTem in the first-line setting had a median PFS of 15.9 months as compared to only 3.1 months for the remainder [P=0.047, hazard ratios (HR) 0.342]. Patients with Ki67 above 5% and ≤5% had median PFS of 4.0 and 4.7 months, respectively (P=0.260). CONCLUSIONS: CapTem showed good activity among PNETs, but its broader role in the treatment of carcinoid tumors remains unclear.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".