Up‐regulation of cathepsin X in prostate cancer and prostatic intraepithelial neoplasia
Bibliographic record
Abstract
BACKGROUND: Evidence is accumulating that several proteases are involved in prostate cancer progression. A locus which is often amplified in prostate cancer is the chromosomal region 20q13. Interestingly, one of the genes encoding the cysteine protease cathepsin X maps to this region. The aim of this study was to assess the expression pattern of cathepsin X in malignant and non-malignant prostatic tissue samples. METHODS: Matched malignant and non-malignant tissue specimens were obtained from 56 men after radical prostatectomy. Cathepsin X was quantified at both protein and mRNA levels using several detection methods: Western blotting, immunohistochemistry, quantitative RT-PCR, and in situ hybridization. Furthermore, genomic DNA was analyzed by PCR for possible gene amplification. RESULTS: Immunohistochemical analysis of formalin-fixed, paraffin-embedded sections of radical prostatectomy specimens was performed utilizing a polyclonal antibody against human procathepsin X and revealed staining of acinar basal cells in normal prostate glands. Prostatic intraepithelial neoplasias (PINs) and prostate carcinomas stained highly positive for cathepsin X, showing a significant difference to the staining of normal prostate glands. In contrast, relatively weak and heterogeneous staining was observed for cathepsins F, B, and L. Up-regulation of cathepsin X at the protein level was confirmed by Western blotting. No statistically significant difference was observed at the mRNA level. PCR of genomic DNA revealed that cathepsin X up-regulation most likely occurs in the absence of genomic amplification. CONCLUSIONS: The high expression levels of cathepsin X both in PIN and invasive adenocarcinomas of the prostate suggest that cathepsin X may play a role in the early tumorigenesis of prostate cancer. Further studies are needed to define the utility of this cysteine protease as a diagnostic marker for the early detection of prostate cancer.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".