Identification of prognostic inflammatory factors in colorectal liver metastases
Bibliographic record
Abstract
BACKGROUND: The modified Glasgow Prognostic Score (mGPS) has been reported to be an important prognostic indicator in a number of tumor types, including colorectal cancer (CRC). The features of the inflammatory state thought to accompany elevated C-reactive protein (CRP), a key feature of mGPS, were characterized in patients with colorectal liver metastases. Additional inflammatory mediators that contribute to prognosis were explored. METHODS: In sera from 69 patients with colorectal liver metastases, a panel of 42 inflammatory mediators were quantified as a function of CRP levels, and as a function of disease-free survival. Multivariate statistical methods were used to determine association of each mediator with elevated CRP and truncated disease-free survival. RESULTS: Elevated CRP was confirmed to be a strong predictor of survival (HR 4.00, p = 0.001) and recurrence (HR 3.30, p = 0.002). The inflammatory state associated with elevated CRP was comprised of raised IL-1β, IL-6, IL-12 and IL-15. In addition, elevated IL-8 and PDGF-AB/BB and decreased eotaxin and IP-10 were associated with worse disease-free and overall survival. CONCLUSIONS: Elevated CRP is associated with a proinflammatory state. The inflammatory state is an important prognostic indicator in CRC liver metastases. The individual contributions of tumor biology and the host to this inflammatory response will require further investigation.
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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) | 0.000 | 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) | 0.000 | 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".