Identification in CLL of circulating intraclonal subgroups with varying B-cell receptor expression and function
Bibliographic record
Abstract
Chronic lymphocytic leukemia (CLL) is a tumor of circulating B cells, variably stimulated and anergized following exposure to antigen in lymphoid tissues. Down-modulation of surface IgM (sIgM) occurs, but expression and signal capacity can recover in vitro and apparently in vivo during recirculation. We have now dissected individual circulating clones of CLL cases according to sIgM expression level by differential binding to bead-bound anti-IgM. Four clear subgroups (SG1-4) with increasing sIgM were identified in 37/37 cases. Engagement of sIgM induced phosphorylation of PLCγ2 and ERK1/2 at levels ranging from very low in SG1 to high in SG4. Phosphorylation was suppressed by the BTK inhibitor ibrutinib. Expression of CXCR4 also increased from SG1 to SG4, but markers of previous activation and proliferation were dominant in SG1. Incubation of whole CLL populations in vitro led to striking increases in CXCR4 expression as well as recovery of sIgM. Clonal analysis reveals dynamic SGs following presumed antigen stimulation in tissues. SG4 represents a fully recovered, potentially dangerous population equipped to migrate to tissue and receive a proliferative stimulus. SG1 likely represents a postmitotic unresponsive "resting" population. The effect of ibrutinib on the small SG4 population may be the critical factor in therapeutic success.
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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 | 0.001 |
| 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".