The human KLK8 (neuropsin/ovasin) gene: identification of two novel splice variants and its prognostic value in ovarian cancer.
Bibliographic record
Abstract
UNLABELLED: KLK8 (neuropsin/ovasin) is a new member of the human kallikrein gene family, which consists of enzymes with serine protease enzymatic activity. Recent reports have implicated KLK8 in ovarian cancer. KLK8 may have potential clinical value for disease diagnosis or prognosis and it may also be a useful therapeutic target. PURPOSE: We undertook this study to evaluate the prognostic value of KLK8 in ovarian carcinoma by examining its expression in ovarian tumors. EXPERIMENTAL DESIGN: The KLK8 gene was analyzed by reverse transcription-PCR and direct sequencing in several human normal tissues. Subsequently, its expression was studied in a set of ovarian tumors, and statistical analysis was performed. RESULTS: We have identified two novel mRNA splice variants of the KLK8 gene, which are abundantly expressed in many tissues. These new variants were named KLK8 type 3 and type 4. Study of the expression of the KLK8 gene and its spliced variants in ovarian tumors indicated that the new variants were expressed very frequently and that full-length KLK8 expression is an independent and favorable prognostic marker for ovarian cancer. Patients with higher KLK8 expression in the tumor have lower grade disease, lower residual tumor left after surgery, live longer, and relapse less frequently. In multivariate analysis, higher KLK8 expression was significantly associated with longer disease-free survival. CONCLUSIONS: These results suggest that KLK8 is a novel, favorable prognostic marker in ovarian cancer. Because KLK8 encodes for a predicted secreted protein, its detection in serum may aid in ovarian cancer diagnosis.
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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 | 0.000 | 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 | 0.000 |
| 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 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".