Unfavorable Prognostic Value of Human Kallikrein 7 Quantified by ELISA in Ovarian Cancer Cytosols
Bibliographic record
Abstract
BACKGROUND: Human tissue kallikrein 7 (gene, KLK7; protein, hK7) is a member of the kallikrein family of secreted serine proteases. Reports indicate that in ovarian cancer, KLK7 is significantly up-regulated at the mRNA level. The aim of this study was to determine whether hK7, measured quantitatively by ELISA in ovarian cancer cytosols, is a prognostic biomarker for ovarian cancer. METHODS: We used a newly developed ELISA with 2 monoclonal antibodies to quantify hK7 production in 260 ovarian tumor cytosols and correlated these data with various clinicopathologic variables and patient outcomes [progression-free survival (PFS) and overall survival (OS)] over a median follow-up period of 52 months. RESULTS: Median (range) hK7 concentration in ovarian tumor cytosols was 2.84 (0-32.8) ng/mg of total protein. Compared with healthy and benign ovarian tissues and nonovarian tumors that metastasized to the ovary, malignant ovarian tumor cytosols highly overproduced hK7 (P <0.001). We used the median value as the cutoff value to categorize tumors as hK7-positive and hK7-negative. Women with hK7-positive tumors most frequently had advanced-stage disease, higher tumor grade (G3), suboptimal debulking, and serous or undifferentiated histotype (P <0.001). Univariate analysis showed that hK7 positivity was associated with significantly shorter PFS (P = 0.01) but not OS. Kaplan-Meier survival curves confirmed an increased risk of relapse in women with hK7-positive tumors (P = 0.009). In multivariate analysis, hK7 was not significantly associated with either PFS or OS. CONCLUSIONS: hK7 is associated with other unfavorable characteristics of ovarian cancer, but it is not an independent prognosticator for ovarian cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".