Vascular Endothelial Growth Factor Concentration as a Predictive Marker: Ready for Primetime?
Bibliographic record
Abstract
To the Editors: The article by Hanrahan et al. in the May issue of Clinical Cancer Research (1) describes the clinical utility of baseline vascular endothelial growth factor (VEGF) to identify subjects who may benefit from treatment with vandetanib (a VEGF receptor/epidermal growth factor receptor/RET inhibitor; ref. 1). However, important issues, such as preanalytic, analytic, and postanalytic interpretation for VEGF concentrations, need to be addressed before a VEGF cutoff can be “applied to clinical practice” as the authors conclude. First, an important preanalytic issue is the choice of sample type (e.g., matrix). Hanrahan and colleagues indicate that sample type (serum versus EDTA plasma) is a major factor in the concentrations observed, which cannot be easily extrapolated when considering reference intervals and cutoffs. For example, despite using the matrix-specific cutoffs in their study groups (e.g., study groups 3, 6, and 7), only the low VEGF group in study groups 3 and 6 (both with EDTA plasma) had significant lower hazard ratios ( P Second, the analytic performance of the VEGF assay was not reported; only the limit of detection and analytic range were stated. Without knowledge of the precision across the analytic range, it cannot be assumed that adequate performance was obtained at the different cutoffs used in the study. Third, the cutoffs chosen are likely inappropriate. The population where the cutoffs are derived is not characterized (e.g., sex, age, and biochemical indices not provided) and the sample size is too small ( n = 37; ref. 1). Minimally, 120 healthy individuals are required to establish a reference interval, and more if subgrouping is required (3). This type of reference interval study has previously been done for VEGF in EDTA plasma ( n = 304 children; n = 540 adults), which showed that VEGF concentrations are age dependent, with positive associations existing with platelet count, alanine aminotransferase, and oral contraceptive use (4). Unfortunately, Hanrahan et al. (1) did not include these important covariates in their models. We believe that future prospective studies assessing VEGF measurement should incorporate these important preanalytic, analytic, and postanalytic issues. Disclosure of Potential Conflicts of Interest P. Kavsak, commercial research grant and honoraria, Beckman Coulter; commercial research support, Randox Ltd.
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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 | 0.009 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.005 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".