The Kisspeptin and GPR54 ligand-receptor pair are associated with favorable prognosis and clear cell subtype in human ovarian carcinoma
Bibliographic record
Abstract
B73 GPR54 is a G-protein coupled receptor that stimulates release of GnRH upon binding with its secreted ligands, the Kisspeptins. The Kisspeptins have also been credited with inducing an anti-metastatic phenotype in tumor cells in vitro. This study characterizes expression of Kisspeptin and GPR54 in clinical ovarian tumor samples using the immunohistochemical method on a tissue microarray (TMA). The TMA consisted of 518 early stage ovarian carcinomas, all with linked clinical outcome data and was scored using a staining intensity scale of 0 (negative), +1 (mild-moderate), and +2 (strong). For statistical analysis, strong staining cases were considered either Kisspeptin or GPR54 positive and designated as 1, while all other cases were considered negative and designated 0. Kisspeptin positive and GPR54 positive cases show a favorable prognosis in univariable disease specific survival (p=0.0023, p=0.0092), as well as in overall survival (p=0.0006, p=0.0002). Further, Kissspeptin is an independent marker for favorable prognosis is disease specific and overall survival (p=0.0046, p=0.0170), while GPR54 is independent in overall survival only (p=0.0303). Both Kisspeptin and GPR54 positive cases are strongly associated with the ovarian carcinoma clear cell subtype (p
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".