Human Equilibrative Nucleoside Transporter 1 and Human Concentrative Nucleoside Transporter 3 Predict Survival after Adjuvant Gemcitabine Therapy in Resected Pancreatic Adenocarcinoma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Gemcitabine is a promising adjuvant treatment for patients with resected pancreatic adenocarcinoma and its use in combination with radiotherapy is under exploration. Human equilibrative nucleoside transporter 1 (hENT1) and human concentrative nucleoside transporter (hCNT) 1 and 3 are the major transporters responsible for 2',2'-difluoro-2-deoxycytidine (gemcitabine) uptake into cells. The aim of this study was to determine patients' outcome according to the expression of hENT1 and hCNT3 in tumoral cells after postoperative gemcitabine-based chemoradiation regimen. EXPERIMENTAL DESIGN: We studied tumor blocks from 45 pancreatic adenocarcinoma patients treated with gemcitabine-based chemoradiation after curative resection and assessed hENT1 and hCNT3 expression using immunohistochemistry. RESULTS: When adjusted for the effects of lymph node ratio and tumor diameter, patients with high hENT1 expression had significantly longer disease-free survival and overall survival (OS) than patients with low expression, whereas high hCNT3 expression was only associated with longer OS. In a combined analysis, patients with two favorable prognostic factors (hENT1(high)/hCNT3(high) expression) had a longer survival (median OS, 94.8 months) than those having one (median OS, 18.7 months) or no (median OS, 12.2 months) favorable prognostic factor. CONCLUSIONS: Pancreatic adenocarcinoma patients with a high expression of hENT1 and hCNT3 immunostaining have a significantly longer survival after adjuvant gemcitabine-based chemoradiation. These biomarkers deserve prospective evaluation in patients receiving gemcitabine-based adjuvant therapy.
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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 | 0.001 |
| 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 it