Five Distinct Deleted Regions on Chromosome 17 Defining Different Subsets of Human Primary Breast Tumors
Bibliographic record
Abstract
In this study, we analyzed 105 paired sporadic primary breast tumor and normal tissue samples for loss of heterozygosity (LOH) on chromosome 17, using 12 polymorphic markers. We have identified partial or interstitial LOH in five separate regions of chromosome 17. Two of the deleted regions lie on the short arm of the chromosome, the first (region I, D17S5) in the telomeric part, distal to TP53 and the second spanning the TP53 gene (region II). Three of the five deleted regions lie on the long arm of chromosome 17: region III, on the proximal long arm between D17S250 and THRA1; region IV, between D17S776 and D17S579, including the BRCA1 gene, and region V, located distal to D17S733. No statistically significant correlations were observed between clinicopathological characteristics or steroid hormone receptor status and deletion of either region I or II. However, patients whose tumors had LOH for region I showed relapse or death more frequently than patients with tumors informative for this region but without LOH (p = 0.002). Statistically significant correlations between LOH at each of the three deleted regions of 17q and a high mitotic index were observed (region III, p = 0.005; region IV, p = 0.02, and region V, p = 0.004). In addition, LOH at region IV showed a significant association with paucity of estrogen receptors (p = 0.01). Our results show a complex pattern of LOH on chromosome 17 in breast cancer and a correlation of these events with different clinical parameters. This pattern suggests that particular subsets of allele loss may contribute specifically to different clinically defined subsets of sporadic breast tumors.
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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".