GPX1 expression promotes stemness and aggressiveness in myxoid liposarcomas
Bibliographic record
Abstract
The sarcomagenic process initiates when mesenchymal stromal/stem cells (MSCs) or MSC-derived cells undergo tumoral transformation.Besides, sarcoma evolution is partly driven by the emergence of subpopulations of cancer stem cells (CSCs), which are strongly associated with more aggressive behaviors.Therefore, the characterization of CSC will contribute to the development of more effective therapies against sarcomas.Here, we compared the proteomes of adherent and CSC-enriched tumorsphere cultures in a tumor progression model of myxoid liposarcoma composed of three cell lines showing increasing aggressiveness after being serially transplanted in mice.We found that the expression of the antioxidant enzyme GPX1 increased constantly during the CSC-enrichment process in this model and other sarcoma lines.Depletion of GPX1 resulted in decreased proliferation and tumorsphere-forming potential and dramatically reduced tumor-formation ability in vivo.Conversely, GPX1 overexpression resulted in increased proliferation and tumorsphere formation.According to these findings, GPX1 expression in sarcoma patients was associated with aggressive phenotypes and worse prognosis.A proteomic analysis revealed that these effects were associated with the downregulation of interferon-mediated response, the IL6/JAK/STAT3 axis and the NFκB-mediated signaling in GPX1-silenced cells.Overall, these results suggest that GPX1 expression may serve as a functional marker of aggressive CSC subpopulations in sarcomas.
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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) | 0.000 | 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".