<i>Cooperative Super-Enhancer Inactivation through Loss of Crebbp and KMT2D Skews B Cell Fate Decisions and Yields T Cell-Depleted Lymphomas</i>
Bibliographic record
Abstract
Mutations in chromatin modifiers are a hallmark of many tumors, especially lymphomas arising from germinal center (GC) B cells. Given that most of these lymphoma mutations induce aberrant gene repression, it is surprising that they often co-occur in individual patients. The most common pairing are mutations affecting CREBBP and KMT2D, even though regulating overlapping gene enhancers and pathways. Hence their co-occurrence is especially puzzling. Herein, we report that combined haploinsufficiency of Crebbp and Kmt2d (C+K) do indeed induce a more severe lymphoma phenotype (vs either allele alone) and unexpectedly conferred an immune evasive phenotype manifesting as reduced CD8+ T cell infiltration. This was linked to profound repression of immune synapse genes that provide costimulatory effects to T-cells and others. Repression of immune synapse genes was reflected in impaired response to T-cell directed cell fate decisions and weakening of costimulatory signals. From the epigenetic perspective we observed interaction and mutually dependent cooperative binding of C+K to chromatin. Notably loss of C+K cooperativity was selectively severe at superenhancers (vs enhancers), especially those driving expression of immune synapse signaling genes and pointing to a particular dependency for both co-activators at these specialized regulatory elements. Therefore, we show that critical features of the lymphoma microenvironment are shaped by specific combinations of chromatin modifier somatic mutations, induced by the dependency of immune synapse superenhancers on cooperative actions of CREBBP and KMT2D.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".