Lysophosphatidic Acid (LPA) Protects Primary Chronic Lymphocytic Leukemia (CLL) Cells from Apoptosis: Role for LPA as a Survival Factor in CLL.
Bibliographic record
Abstract
Abstract Chronic lymphocytic leukemia (CLL) is characterized by the accumulation of CD19+/CD5+ lymphocytes, and this is achieved primarily through a block in apoptosis. The mechanisms underlying this defect are not fully understood. Several proteins have been shown to protect CLL cells from apoptosis and one of these is albumin that solublizes lipids in the plasma. A lipid found in plasma, lysophosphatidic acid (LPA), protects epithelial and fibroblast cells from apoptosis. We investigated whether LPA could be a survival factor in CLL. Herein, we demonstrate that LPA effectively protects the B cell line BJAB and the CLL-like cell line I-83 from etoposide, fludarabine, and chlorambucil-induced apoptosis. In primary CLL cells, plasma from either healthy or CLL patients significantly reduces spontaneous and drug-induced apoptosis. However, delipidation of the plasma reduces its protective effect. In addition, LPA protects primary CLL cells but not healthy lymphocytes from apoptosis. By western blotting, the LPA receptor 1 (LPA1) expression is increased in primary CLL cells compared to normal lymphocytes. Treatment of primary CLL cells with the LPA receptor antagonist diacylglycerol pyrophosphate (DGPP) reverses the protective effect of LPA against apoptosis. Over expression of the LPA1 receptor protects cells from apoptosis and downregulation of the receptor blocks LPA mediated protection against spontaneous apoptosis. The protective effect of LPA is inhibited by blocking activation of the PI-3K/AKT signaling pathway. These results indicate that LPA is a survival factor in primary CLL cells and that drugs targeting the LPA receptors might be an effective therapy for this disease.
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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 | 0.000 |
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".