Deletion mapping on the long arm of chromosome 7 in splenic lymphoma with villous lymphocytes
Bibliographic record
Abstract
Splenic lymphoma with villous lymphocytes (SLVL) is a low-grade lymphoproliferative disorder characterized by splenomegaly and circulating villous lymphocytes in the peripheral blood. It is considered to be the leukemic form of splenic marginal zone lymphoma (SMZL). The genetic basis of this lymphoma type remains unknown. Conventional cytogenetic studies have identified frequent structural abnormalities of chromosome 7, in the form of translocations, mainly unbalanced, and 7q deletions. In this current study, we undertook deletion mapping of the long arm of chromosome 7 in a series of cases with SLVL. Metaphase fluorescence in situ hybridization (FISH) was used in the first instance, followed by a study of loss of heterozygosity (LOH). The common area of deletion identified by FISH spanned from the YAC clone HSC7E1289 (mapping to 7q32.1) to in between YACs HSC7E195 and HSC7E648 (7q32-3). By application of 50 microsatellite markers mapping to the FISH-CDR and to areas of deletion reported in other studies, four distinct hotspot loci were identified, with abnormalities present in 29-55% cases. In three of them, both LOH and biallelic deletions were found. The LOH in the majority of patients was noncontiguous. The presence of a high incidence of abnormalities in the established hotspot areas and in particular the finding of biallelic deletions is indicative of the existence of genes important for the pathogenesis of SLVL in these areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".