Delineation of a minimal region of deletion at 6q16.3 in follicular lymphoma and construction of a bacterial artificial chromosome contig spanning a 6‐megabase region of 6q16–q21
Bibliographic record
Abstract
Regional deletions of 6q are frequent karyotypic alterations in malignant lymphoma and are associated with an adverse clinical outcome. One such region of recurrent deletion is 6q16-q21; however, the specific genes affected have not been identified. Our objective in this study was to identify cases with deletion of 6q16-q21 in follicular lymphoma and to define a minimal region of deletion. A physical map of 6q16.2-q21 was constructed using map information from both sequence-based and bacterial artificial chromosome (BAC) fingerprint-based maps. Forty-three BAC clones spanning a 6-Mb region of 6q16.2-q21 were identified and obtained from the RP-11 library. Selected BACs were fluorescence-labeled and hybridized to a series of 34 follicular lymphomas with a regional 6q deletion detected by G banding. Twenty-four cases with deletion of the 6q16.3 region were detected. A minimal deletion of 2.3 Mb was defined. Our study has identified a limited region of deletion of 6q16.3 that may implicate four known genes in follicular lymphoma and possibly in other cancers. A BAC contig spanning a 6-Mb region has been anchored to the 6q16.2-q21 region. This map represents a useful resource for gene identification in this region, not only in lymphoma but also in other neoplasms with 6q alterations.
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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 | 0.001 |
| 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".