Immunofluorometric activity-based probe analysis of active KLK6 in biological fluids
Bibliographic record
Abstract
Immunoassay measurements of human kallikrein-related peptidases (KLKs) such as prostate-specific antigen (KLK3) are of great value as diagnostic indices of cancer. Despite extensive knowledge of the abundance of immunoreactive KLKs in normal and cancer-related settings, there is little information available about the proportion of immunoreactive KLK that represents active enzyme in such samples. Using KLK6 as a prototype enzyme, we have developed an assay using a serine proteinase-targeted activity-based probe coupled to antibody capture. By employing activity-based labeling, we were able to quantify the proportion of enzymatically active relative to total immunoreactive KLK6 in crude cerebrospinal fluid from routine analyses and ascites fluid from ovarian cancer patients, as well as in supernatants from cancer cell lines. Our approach allowed monitoring of pro-KLK6 conversion to its active enzyme species and demonstrated that up to 5% of immunoreactive KLK6 detected in clinical samples represents active enzyme. We suggest that this new activity-based probe assay will prove of value as a complement to routine KLK immunoassay measurements for validating KLKs as cancer biomarkers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 0.001 |
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".