Abstract 1276: Pannexin 1 regulates rhabdomyosarcoma tumor growth: a potential novel therapeutic target
Bibliographic record
Abstract
Abstract Rhabdomyosarcoma (RMS) is a skeletal muscle-derived soft tissue sarcoma for which a novel therapeutic strategy is greatly needed. RMS cells have lost the ability to terminally differentiate thus proliferating indefinitely. Promoting their redifferentiation to skeletal muscle tissue is thus a promising therapeutic approach. We have recently shown that levels of Pannexin 1 (Panx1) are below detectable limits in undifferentiated myoblasts, but become highly upregulated during their differentiation and indeed promote this process. We thus hypothesize that the levels of Panx1 are deregulated in RMS and that restoration of Panx1 levels may induce differentiation of RMS cells thereby alleviating their malignant properties. Briefly, our results demonstrate that both Panx1 transcript and protein are at very low levels in, both embryonal and alveolar RMS tumor specimens and patient-derived cell lines similar to that seen in fetal skeletal muscle tissue and undifferentiated myoblasts, respectively. In vitro functional analyses have revealed that while re-introduction of Panx1 in RMS cell lines led to their partial differentiation, it significantly inhibited their rate of proliferation and migration. Moreover, re-expression of Panx1 in RMS cell lines prevented both spheroid formation and growth, and induced RMS cell apoptosis. Based on this in vitro data, pre-clinical orthotopic xenograft studies are currently underway to assess the ability of Panx1 to inhibit tumor onset and growth, and induce tumor regression in vivo. Our preliminary results thus far have shown that Panx1 over-expression significantly suppresses RMS xenograft tumor growth. Taken together, these results indicate that restoration of Panx1 levels in RMS reduces its malignant properties. This, together with further investigation into the tumor-suppressive mechanism by which Panx1 mediates its effects, will establish Panx1 as a novel therapeutic target for RMS. Citation Format: Xiao Xiang, Stephanie Langlois, Marie-Eve St-Pierre, Jessica Barre, Tammy Le Pham, Kyle N. Cowan. Pannexin 1 regulates rhabdomyosarcoma tumor growth: a potential novel therapeutic target. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1276.
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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".