C-reactive protein as a prognostic marker for men with androgen-independent prostate cancer (AIPC): Results from the ASCENT trial
Bibliographic record
Abstract
5074 Background: Concentrations of blood proteins such as PSA, hemoglobin (HGB), and LDH are associated with survival in men with AIPC. We sought to identify additional blood proteins associated with prognosis in chemotherapy-treated AIPC patients. Methods: Baseline plasma samples were stored (-80°C) from 160 patients enrolled in the ASCENT trial, a randomized placebo-controlled phase 2 trial comparing weekly docetaxel plus DN-101, an oral high-dose formulation of calcitriol, to weekly docetaxel. Multiplex immunoassays measured 16 cytokine/chemokine or cardiovascular/inflammation markers including IL-1a, IL-1β, IL-2, IL-6, IL-8, IL-10, TNFa, MCP-1, EGF, VEGF, PAI-1, MMP-9, sE-Selectin, sICAM-1, sVCAM-1 and C-reactive protein (CRP). Cox’s proportional hazard model was used to assess association between baseline biomarkers and survival or skeletal-related event (SRE)-free survival, and logistic regression for PSA Working Group Criteria response. Results: Baseline characteristics were similar to those of the 90 patients without samples, except for age (mean 68.0 vs. 70.6 yrs) and HGB (12.8 vs. 12.2 g/dL). CRP was the only biomarker that significantly predicted shorter overall survival (HR 1.41, 95% CI 1.20–1.65, p < 0.0001). When CRP (continuous) was entered into a multivariate model using 13 baseline variables (including PSA, LDH, alkaline phosphatase, HGB, ECOG Performance Status, age) only elevated CRP remained a significant predictor (p<0.0001) of shorter survival. When categorized as normal (= 8 mg/L) or abnormal (> 8 mg/L), elevated CRP was a significant predictor of shorter survival (HR 2.96 95% CI 1.52–5.77, p = 0.001) as was HGB (p=0.007). Elevated CRP was also associated with a lower probability of PSA response (OR 0.74, 95% CI 0.60–0.92, p = 0.007) and a shorter SRE-free survival (HR 1.30, 95% CI 1.15–1.48, p < 0.0001). Conclusions: Elevated levels of plasma CRP appear to be a strong predictor of poor survival and development of SREs in AIPC patients receiving docetaxel-based therapy. The use of CRP as a risk marker and its potential as a surrogate marker of treatment effect should be prospectively evaluated in future clinical trials in advanced prostate cancer. [Table: see text]
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".