Molecular Characterization of Distinct Hot Spot Regions on Chromosome 7q in Myeloid Leukemias.
Bibliographic record
Abstract
Abstract In recent years several groups initiated the molecular characterization of deletion and translocation breakpoints affecting the long arm of chromosome 7 (7q−) to identify genes that are involved in the pathogenesis of myeloid leukemias. Based on these studies a commonly deleted segment (CDS) of approximately 2 Mb in size was identified in chromosomal band 7q22 flanked by the microsatellite markers D7S1503 and D7S1841. Recently, the MLL5 gene (mixed lineage leukemia 5) has been cloned and mapped to the CDS as an interesting candidate gene for chromosome 7q associated leukemias. However, the pathogenic role of MLL5 in myeloid leukemias has not been demonstrated yet. In addition, for the less frequent deletion/translocation breakpoints affecting the distal part of chromosome 7q a 4 to 5 Mb sized CDS was defined encompassing chromosomal bands 7q35 to q36. The heterogeneity of deletion/translocation breakpoints on 7q suggests the existence of more than one disease-related gene. We aimed to identify and characterize translocation and deletion breakpoints in a large series of myeloid leukemias with chromosome 7q aberrations using fluorescence in situ hybridisation (FISH) and array-based comparative genomic hybridization (array CGH). Once, novel hot spot regions were identified, transcriptional map(s) were constructed allowing the identification of candidate genes, expressed sequences or miR-sites. FISH with a physical map of well defined YAC/BAC/PAC clones covering the long arm of chromosome 7 was performed on a series of 105 myeloid leukemias [acute myeloid leukaemia, (AML); myelodysplastic syndrome (MDS); myeloproliferative disorders, (MPD)] exhibiting chromosome 7q aberrations on banding analysis. Selected patients were analysed by array CGH and results were confirmed by hybridisation of the corresponding DNA clones. Transcriptional map(s) were constructed using public databases. While most of the deletions were large encompassing the previously published CDS, we identified a distinct 2 Mb sized CDS in the proximal part of 7q22 that was defined by five patients all exhibiting small deletions. This segment contains several candidate genes including the putative tumor-suppressor genes CUTL1, RASA4, EPO and FBXL13. Interestingly, this CDS is located close to multiple miR-sites, which usually indicate common fragile sites in the human genome. In chromosomal bands 7q35–q36 we localized the breakpoint of an unbalanced translocation from a patient with secondary AML between the markers D7S1925 and D7S1395. This region was recently characterized as a common fragile site in the human genome, named FRA7I. Furthermore, the translocation breakpoint t(3;7)(p13;q35) of a second patient with therapy-related AML was cloned into a 100 kb sized genomic segment located centromeric the CNTNAP2-gene close to the proximal border of the CDS. Our data further indicate the remarkable heterogeneity of deletion and translocation breakpoints on 7q supporting the hypothesis of multiple genes involved in 7q-associated myeloid leukemias. Using techniques such as FISH and array CGH known CDS as well as novel hot spot regions were identified. Transcriptional maps from those regions may serve as important starting points for the identification of pathogenetically relevant genes.
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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 | 0.001 |
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".