Large B cell lymphoma microenvironment archetype profiles
Bibliographic record
Abstract
Large B cell lymphomas (LBCL) are clinically and biologically heterogeneous lymphoid malignancies with complex microenvironments that are central to disease etiology. Here, we have employed single-nucleus multiome profiling of 232 tumor and control biopsies to characterize diverse cell types and subsets that are present in LBCL tumors, effectively capturing the lymphoid, myeloid, and non-hematopoietic cell compartments. Cell subsets co-occurred in stereotypical lymphoma microenvironment archetype profiles (LymphoMAPs) defined by; (1) a sparsity of T cells and high frequencies of cancer-associated fibroblasts and tumor-associated macrophages (FMAC); (2) lymph node architectural cell types with naive and memory T cells (LN); or (3) activated macrophages and exhausted CD8 + T cells (TEX). Divergent patterns of cell-cell communication underpinned the transcriptional phenotypes of archetype-defining cell subsets resulting in exclusion, support, or suppression of T cells, respectively. Consistent with this, LymphoMAPs were associated with significantly different clinical outcomes following CD19 chimeric antigen receptor (CAR) T cell therapy.
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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) | 0.011 | 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".