Specific Targeting of Recombinant Human Pancreatic Ribonuclease 1 using Gonadotropin-Releasing Hormone Targeting Peptide toward Gonadotropin-Releasing Hormone Receptor-Positive Cancer Cells.
Bibliographic record
Abstract
Background: Targeted drug delivery is a novel method to specifically deliver anticancer therapeutics to tumor sites. Gonadotropin-releasing hormone (GnRH) is a decapeptide, and its target binding property has attracted attention as a means of targeted drug delivery. Human pancreatic ribonuclease 1 (hpRNase1) has been shown to exert anticancer properties, when fused to a targeting moiety. The goal of the present study was to add a GnRH targeting peptide to the N-terminus of hpRNase1 to specifically target GnRH receptor (GnRH-R) expressing cells. Methods: tests were performed to determine the significant differences between the study groups. Results: GnRH-hpRNase1 chimeric protein specifically inhibited the proliferation of PC-3 (P=0.021), LNCaP (P=0.034), and AD-Gn (P=0.041) cells, while the growth of negative cells (AD-293) was not significantly affected (P=0.081). GnRH-hpRNase1 decreased the IC50 values more than non-fused hpRNase1, by approximately 26.5-fold (P=0.036) for PC-3 cells, and exerted its growth inhibitory effects through apoptosis induction. Conclusion: Fusion of GnRH to hpRNase1 structure produced an enzyme, which could specifically target tumor cells. This approach can be used to eliminate tumors that harbor GnRH-R.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".