Abstract 2355: Full-length wild-type CD99 increases the migration and invasiveness of human malignant glioma cells
Bibliographic record
Abstract
Abstract The malignant glioma is the most common primary human brain tumor, and its migration and invasiveness away from the primary tumor mass is considered a leading cause of tumor recurrence and treatment failure. Recently, gene expression profiling revealed CD99, which is a transmembrane glycoprotein, is more expressed in malignant glioma than in normal brain. It has been implicated in cell adhesion and migration in various cells, even if the function of this gene is not understood clearly. This gene has two isoforms of wild-type and splicing variant. We revealed that only wild-type CD99 is expressed in human glioma cells and tissues. Through MTS, colony-forming, and anoikis assays, we found that wild-type CD99 in glioma cells has enough resistance for anoikis and ability to survive and grow in anchorage independence, as is opposed to previous reports in other tumors. Using tissue microarray, we validated that CD99 demonstrates higher expression in gliomas compared to non-neoplastic brain. We inhibited CD99 expression by siRNA and demonstrated decreased glioma cell migration and invasion. In contrast, when CD99 was over-expressed in glioma cells, we observed enhancement of cell migration and invasiveness. Orthotopic brain tumor model with nude mice harboring CD99 overexpressing glioma cells results in significant decreased survival rate, compared to control mice. Moreover, higher invasiveness is observed in overexpressing mice by pathological review. Taken together, our findings suggest that CD99 play an important role in the migration and invasion of human gliomas. CD99 could be a target to inhibit migration and invasion especially in CD99-expressing gliomas. 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 2355. doi:10.1158/1538-7445.AM2011-2355
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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) | 0.004 | 0.001 |
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".