Ability of C‐reactive protein to complement multiple prognostic classifiers in men with metastatic castration resistant prostate cancer receiving docetaxel‐based chemotherapy
Bibliographic record
Abstract
UNLABELLED: What's known on the subject? and What does the study add? Serum C-reactive protein (C-reactive protein) is emerging as a potential novel prognostic factor in metastatic castration-resistant prostate cancer (mCRPC). In the present study, a prospective trial was investigated retrospectively and a significant prognostic impact for C-reactive protein that was independent of multiple published prognostic models was identified in men receiving docetaxel-based chemotherapy for mCRPC. Prospective validation is warranted. OBJECTIVE: • Given the recent emergence of C-reactive protein levels as a novel prognostic factor in men with metastatic castration-resistant prostate cancer (mCRPC), we sought to evaluate the independent prognostic ability of C-reactive protein in the context of published prognostic nomograms, risk grouping and disease state models in men receiving docetaxel-based chemotherapy for mCRPC. PATIENTS AND METHODS: • A large randomized phase II trial (CS-205) of mCRPC patients who received docetaxel-prednisone + AT-101 (Bcl-2 inhibitor) or docetaxel-prednisone + placebo was analyzed retrospectively (n= 220). • Overall survival (OS), progression-free survival (PFS) and measures of discriminatory ability were assessed in a hypothesis-generating analysis using Cox regression and concordance probabilities. • Patients from both treatment groups were combined for this analysis because no significant differences in outcomes were observed. • Because some factors used in nomograms were not collected or defined differently, risk was estimated based on slightly modified versions of nomograms. RESULTS: • C-reactive protein was independently prognostic for OS and PFS (P ≤ 0.002) after adjusting for all modeled risk estimates and classifiers. • C-reactive protein showed a concordance probability of 0.65 for both OS and PFS. • A 10-factor modified prognostic model based on the TAX327 trial had the greatest observed discrimination ability for OS and PFS (concordance probability = 0.623 and 0.603, respectively) among the modified nomograms or classifiers. • Adding the TAX327 model risk estimates to C-reactive protein did not substantially increase discrimination ability over C-reactive protein alone. CONCLUSIONS: • Current prognostic classifications provide modest discrimination of outcomes in mCRPC receiving docetaxel-based chemotherapy, highlighting the need for improved risk-based models. • Baseline C-reactive protein appears to be an useful, independent prognostic factor and prospective external validation is warranted.
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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 | 0.001 | 0.000 |
| 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".