Higher human kallikrein gene 4 (KLK4) expression indicates poor prognosis of ovarian cancer patients.
Bibliographic record
Abstract
PURPOSE: Kallikrein gene 4 (KLK4, also known as prostase/KLK-L1), located on chromosome 19q13.4, is one of the newly discovered members of the human KLK-like gene family. This gene is up-regulated by androgens in the LNCaP prostatic carcinoma cell line and by androgens and progestins in the BT-474 breast cancer cell line. On the basis of its apparent association with hormonally regulated tissues, we have undertaken to examine the prognostic value of KLK4 expression in 147 malignant ovarian tissues. EXPERIMENTAL DESIGN: Tumors were pulverized, total RNA was extracted, and cDNA was prepared by reverse transcription. KLK4 was amplified by PCR using gene-specific primers, and its identity was verified by sequencing. Ovarian tissues were then classified as KLK4-positive or -negative, based on ethidium bromide visualization of the PCR product on agarose gels. RESULTS: KLK4 was found to be expressed in 69 (55%) of 147 of ovarian cancer samples. We found a strong positive association between KLK4 expression and tumor grade (P = 0.02) and clinical stage (P < 0.001). Univariate survival analysis revealed that patients with ovarian tumors positive for KLK4 expression had an increased risk for relapse and death (P = 0.003 and 0.001, respectively). Whereas knowledge of KLK4 status did not significantly increase the prognostic power of the multivariate models, additional analyses did determine that KLK4 was an independent unfavorable prognostic factor in patients with grade 1 and 2 tumors. CONCLUSIONS: Our findings indicate that KLK4 expression is associated with more aggressive forms of 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 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) | 0.002 | 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".