Genomic Instability: The Driving Force behind Refractory/Relapsing Hodgkin’s Lymphoma
Bibliographic record
Abstract
In classical Hodgkin's lymphoma (HL) the malignant mononuclear Hodgkin (H) and multinuclear, diagnostic Reed-Sternberg (RS) cells are rare and generally make up <3% of the total cellular mass of the affected lymph nodes. During recent years, the introduction of laser micro-dissection techniques at the single cell level has substantially improved our understanding of the molecular pathogenesis of HL. Gene expression profiling, comparative genomic hybridization analysis, micro-RNA expression profiling and viral oncogene sequencing have deepened our knowledge of numerous facets of H- and RS-cell gene expression deregulation. The question remains whether disturbed signaling pathways and deregulated transcription factors are at the origin of refractory/relapsing Hodgkin's lymphoma or whether these hallmarks are at least partially related to another major factor. We recently showed that the 3D nuclear organization of telomeres and chromosomes marked the transition from H- to RS-cells in HL cell lines. This transition is associated with progression of telomere dysfunction, shelterin disruption and progression of complex chromosomal rearrangements. We reported analogous findings in refractory/relapsing HL and identified the shelterin proteins TRF1, TRF2 and POT1 as targets of the LMP1 oncogene in post-germinal center B-cells. Here we summarize our findings, including data not previously published, and propose a model in which progressive disruption of nuclear integrity, a form of genomic instability, is the key-player in refractory/relapsing HL. Therapeutic approaches should take these findings into account.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".