Topographical analysis of telomere length and correlation with genomic instability in whole mount prostatectomies
Bibliographic record
Abstract
11107 Background: Many critical events in prostatic carcinogenesis appear to relate to the emergence of chromosomal instability and acquisition of genomic rearrangements. Characteristic abnormalities such as 8p loss, 8q gain, trisomy 7, PTEN microdeletions and TMPRSS2-ERG gene fusions appear to mediate mechanisms to increase neoplastic transformation in prostate cancer. Current evidence suggests that telomere dysfunction is a likely causative factor for some of these abnormalities on the basis of its relationship to mechanisms such as the break-fusion-bridge cycle that can lead to the onset of chromosomal instability. Methods: In this study, we correlated telomere length in various prostatic histologies by quantitative FISH with genomic markers of chromosomal instability by standard FISH and immunohistochemical measures of proliferation in 3 whole mount prostatectomies. Results: After analysing approximately 25,000 cells, we found that telomere shortening was correlated with an increase in the number of cells with abnormalities on chromosome 8, such as an increase in the average number of c-myc signals (r∼0.35, p∼0.02). However, there were no significant correlations with abnormalities such as trisomy 7 or abnormalities of the PTEN locus in any sample. Additional findings included; associations found with the probability of C-MYC aberrations in stroma with greater proximity to cancer (<1,000 um), a correlation between telomere length in a number of prostatic histologies (normal, atrophy, HPIN and cancer) with the adjacent stroma, and a lack of correlation between the Ki67 index of various histologies and their telomere length - all suggesting the importance of microenvironmental effects on telomere maintenance in the prostate. Finally, we also report significant telomere shortening in BPH in 2 cases, a phenomenon that has not been noted previously. Conclusions: This is the first study to directly link a mechanism of chromosomal instability with specific chromosomal abnormalities in prostatic carcinogenesis and also suggests that the microenvironmental milieu is of critical importance in the evolution of in vivo telomere homeostasis. No significant financial relationships to disclose.
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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) | 0.002 | 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".