<i>SMPD3</i> suppresses IDH mutant tumor growth via dual autocrine-paracrine roles
Bibliographic record
Abstract
Abstract Isocitrate dehydrogenase (IDH) mutant gliomas, including oligodendroglioma (IDH-O) and astrocytoma (IDH-A), have signature slow-growth rates that are poorly understood. Here, we reveal that SMPD3, a ceramide-producing sphingomyelinase implicated as a tumor suppressor gene and involved in extracellular vesicle biogenesis, suppresses IDH-mutant tumor growth via autocrine and paracrine actions. In patients with IDH-mutant gliomas, higher SMPD3 expression levels correlate with longer survival, consistent with ceramide acting as an anti-oncometabolite. SMPD3 knock-down in patient-derived IDH-O cells enhances proliferation cell-autonomously in 2D-culture and 3D-human cerebral organoids, and accelerates tumor growth in mouse orthotopic xenografts. Supporting paracrine actions, IDH-O-derived extracellular vesicles, enriched in ribosomal proteins, induce astrocytic death in vitro . Furthermore, non-neoplastic glia in IDH-O tumors proliferate abnormally yet undergo apoptosis, concomitant with the acquisition of a translation-enriched transcriptional signature by tumor-associated oligodendrocytes. SMPD3 thus suppresses IDH-mutant glioma growth cell-autonomously and phenotypically alters normal glia via extracellular vesicle biogenesis and paracrine actions.
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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 | 0.000 |
| 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".