Preparation and Characterization of New Anti-PSMA Monoclonal Antibodies with Potential Clinical Use
Bibliographic record
Abstract
Monoclonal antibodies with high specificity for prostate cancer tissue are of interest for diagnostic and therapeutic applications employing targeted therapy. The prostate-specific membrane antigen (PSMA) is a protein predominantly found in epithelial cells of prostate tissue origin and its expression correlates with tumor aggressiveness. Here, we report the development and characterization of new antibodies against PSMA. Murine monoclonal antibodies (MAb) were obtained by immunizing mice with a peptide corresponding to PSMA extracellular residues 490-500 -- GKSLYESWTKK (PSMA(490-500)). The MAbs react specifically to PSMA and to the prostate cancer cell line LNCaP with an affinity for PSMA in the low nanomolar range. This study also demonstrates the potential use of these antibodies for targeted drug delivery to prostate cancer cells. Nanomolar concentrations of PSMA-specific MAb in association with a molecule with cytotoxic potential were sufficient to allow for binding and uptake by LNCaP cells within minutes, leading to complete cell death within 3 days. These MAbs have potential clinical value in the development of diagnostic and therapeutic applications for prostate cancer.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".