Prognostic significance of TIE2‐expressing monocytes in hilar cholangiocarcinoma
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Angiopoietins (Angs) play a pivotal role in angiogenesis and inflammation, and are associated with prognosis in malignancies. Monocyte express Ang-receptor TIE2 and correlate with prognosis in cancer. We aimed to investigate the prognostic value of Angs and TIE2-expressing monocytes (TEMs) in cholangiocarcinoma. METHODS: We analyzed surgically resected tumor specimens of hilar cholangiocarcinoma (n = 47) for distribution of Angs (Ang 1/Ang 2) and TEMs, as defined by co-expression of CD14 and Ang receptor TIE2. Ang expression and abundance of TEMs were correlated with clinicopathologic characteristics, tumor recurrence and patients' survival. RESULTS: High Ang 1 expression correlated with reduced metastasis (P < 0.05). Patients characterized by invading Ang-receptor bearing TEMs in tumor showed lower tumor recurrence (P < 0.05). Furthermore, TEMs in tumor and tumor invasive front correlated with increased survival (P < 0.05). TEMs in tumor invasive front were confirmed as independent prognosticator in multivariate survival analysis (P < 0.05). CONCLUSIONS: High Ang 1 expression in hilar cholangiocarcinoma and infiltration of TEMs defines a subgroup of patients with beneficial tumor characteristics and prolonged survival. Besides suggested functional links between Ang expression and recruitment of TEMs, our data have possible clinical implications as novel diagnostic tools. J. Surg. Oncol. 2016;114:91-98. © 2016 Wiley Periodicals, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".