Bibliographic record
Abstract
A monoclonal antibody (Mab) designated as GHR106 was generated against the extracellular domain (N1-29 synthetic peptide) of human gonadotropin releasing hormone (GnRH) receptor. It is a first-in-class GnRH analog and can serve as a drug candidate for potential applications in the treatment of human cancers and/or fertility regulations. Both Mabs in murine (mGHR106) or humanized (hGHR106) forms were shown to have comparable specificity and affinity to intact GnRH receptor on cancer cells or to N1-29 synthetic peptides from humans and monkeys. Similar to decapeptide GnRH analogs, both Mabs were shown to induce apoptosis to cultured cancer cells of various tissue origins, including those from the ovary, breast, prostate, and lung. However, both Mabs were also found to induce complement-dependent cytotoxicity (CDC) reaction for lysis of cancer cells, an immune property which is not shared by peptide analogs of GnRH. By using semi-quantitative reverse transcriptase polymerase chain reaction (RT-PCR), both GHR106 Mabs and the GnRH decapeptide antagonist, Antide, were shown to be bioequivalent in terms of their respective effects on genes involved in the proliferation and apoptosis of cancer cells. In addition, GHR106 Mabs have a much longer circulating half-life than GnRH peptide analogs (days versus hours). Based on the results of these studies, it can be concluded that both mGHR106 and hGHR106 are bioequivalent to the GnRH decapeptide antagonist, Antide, in many biological and functional properties. Therefore, hGHR106 can serve as a long-acting alternative to the current decapeptide GnRH antagonists for therapeutic treatments in the immunotherapy of human cancers, including those of gynecologic origin.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".