Serum biomarker CD163 predicts overall survival in patients with pancreatic ductal adenocarcinoma
Bibliographic record
Abstract
Abstract The serum soluble CD163 (sCD163) is elevated in patients with inflammatory disease and several types of cancer. However, the prognostic value of serum sCD163 in pancreatic ductal adenocarcinoma (PDAC) has not yet been investigated. In this study, serum level of sCD163 was measured by using the peripheral blood of 54 patients with PDAC, 20 patients with benign tumor of pancreas, and 30 healthy volunteers (healthy controls). The association between serum sCD163 level and overall survival was analyzed. Receiver operating characteristic (ROC) curves were generated, and areas under the curve (AUC) were compared to evaluate the diagnostic accuracy, including CA 19-9, CEA, CA 125, CA 153, and serum sCD163 level. Serum sCD163 level of patients with PDAC was significantly higher than patients with benign tumor ( P = .002) and health controls ( P < .001). Using ROC curves, we found that the AUC values of serum sCD163 were higher than those of CA 125 and CA 153, but lower than those of CA 19-9 and CEA. Serum sCD163 was negatively correlated with lymphocyte to monocyte ratio (LMR; r = −0.428, P = .001). In addition, the prognosis of PDAC patients with sCD163 ≥ median was worse than sCD163 < median by using univariate analysis ( P = .027). Further, multivariate analysis showed that higher level of serum sCD163 was still associated with poorer overall survival ( P = .020). In conclusion, the serum sCD163 has the potential as a new promising parameter to predict the prognosis in PDAC patients.
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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) | 0.002 | 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 | 0.001 |
| 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".