Prostatic secretory protein (PSP94) expression in human female reproductive tissues, breast and in endometrial cancer cell lines
Bibliographic record
Abstract
PSP94 (beta microseminoprotein, beta MSP) is one of the three major proteins secreted by the normal human prostate gland. Using reverse transcriptase polymerase chain reaction (RT-PCR) and Southern blotting, PSP94 transcripts were shown in human endometrium, myometrium, ovary, breast, placenta and in the human endometrial cancer cell lines KLE and AN3 CA. Primers used in these studies were specific for human prostate PSP94, and were derived from its flanking non-coding regions. The results were confirmed by sequence analysis of two independently derived clones from normal human breast tissues and the other two from KLE cells respectively. The sequences were identical with the coding sequence of human prostate PSP94 cDNA. Using RNA from the endometrial tissues, two different transcripts of approximately 487 bp, equivalent to prostate PSP94 and approximately 381 bp, corresponding to prostate PSP57, its alternately spliced form, were amplified by RT-PCR. Human ovary, breast, placenta and endometrial cancer cell lines (KLE, AN3 CA), however, showed only the full length, approximately 487 bp, PSP94 transcript. We further demonstrated by in situ hybridization that PSP94 mRNA is expressed specifically in the glandular epithelial cells, and not in the stroma of both the human endometrial and breast tissues. Further, using image analysis of in situ hybridization data, the levels of PSP94 mRNA in the cycling endometrial tissues and in breast confirmed the differential levels of expression in the cycling endometrium (P<0.005). This study distinctly demonstrated significant expression of PSP94 mRNA in human uterine, breast and other female reproductive tissues as well in the endometrial cancer cell lines, suggesting that it may have a role in these tissues as a local autocrine paracrine factor.
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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) | 0.000 | 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 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".