Abstract LB-101: Y-box binding protein-1 (YB-1) inhibition triggers differentiation of normal and cancer stem cells from the brain
Bibliographic record
Abstract
Abstract The Y-box-binding protein-1 (YB-1) is up-regulated in many human malignancies including glioblastoma (GBM). It is also essential for normal brain development, suggesting that YB-1 is part of a neural stem cell (NSC) network. Here we show that YB-1 was highly expressed in the subventricular zone (SVZ) of mouse fetal brain tissues but not in terminally differentiated primary astrocytes. Conversely, YB-1 knock-out mice had reduced Sox-2, nestin and musashi expression in the SVZ. While primary murine neurospheres were rich in YB-1, its expression was lost during glial differentiation. Likewise, YB-1, Sox-2, mushashi, Bmi-1 and nestin are coordinately expressed in SF188 cells and 9/9 GBM patient-derived primary CSCs. Silencing YB-1 with small interfering RNA attenuated the expression of these NSC markers, reduced neurosphere growth and triggered differentiation via coordinate loss of GSK3-β. Further, differentiation of CSCs with 1% serum or bone morphogenetic protein-4 (BMP-4) suppressed YB-1 protein expression. Likewise, YB-1 expression was lost during differentiation of normal human NSCs. Consistent with these observations, YB-1 was preferentially expressed in highly undifferentiated primary gliomas based on the analysis of WHO grade 1-IV tumors (n=49 cases). YB-1 was also co-expressed with Bmi-1 (Spearmans 0.80, p>0.001) and Sox-2 (Spearmans 0.66, p>0.001) based on the analysis of 282 cases of high-grade gliomas. These CSC markers were also highly expressed in 10/15 (67%) of GBM patients that subsequently relapsed. In conclusion, YB-1 is a key feature of stem cells where it functions to suppress differentiation. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-101. doi:10.1158/1538-7445.AM2011-LB-101
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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".