Abstract 5728: DNA demethylating agents and interferons as modulators of Wnt/β-catenin signaling in colorectal cancer
Bibliographic record
Abstract
Abstract p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px 'Times New Roman'} Colorectal cancer (CRC) is the second leading cause of death from cancer in men and the third in women in Canada. There is accumulating evidence suggesting that CRC is organized in a hierarchical manner, at the apex of which are the Cancer-Initiating Cells (CIC). Furthermore, results from xenograft models and human clinical trials indicate a selective enrichment of CICs in tumours that are resistant to therapy, suggesting that targeting CICs may represent a new paradigm in cancer treatment. We have previously reported the treatment with low dose of the DNA demethylating agent, 5-Aza-2'-deoxycytidine (5-AZA-CdR), can target CICs through the activation of the RIG1-MDA5 viral sensing sensing pathway, leading to an anti-viral response in cancer cells. Although it is now known that 5-AZA-CdR induces a state of “viral mimicry” in these cancer cells, the mechanism by which 5-AZA-CdR can specifically target CICs is not well understood. In this study, we propose a novel intersection between RIG1-MDA5-IRF7 and Wnt/β-catenin pathways. We found that treatment of CIC enriched cancer cells with both 5-AZA-CdR and type I and III interferons reduced canonical Wnt/β-catenin signalling. Furthermore, treatment with type I and III interferons showed a reduced CIC frequency in colorectal cancer cells in vitro. Mechanistically, we found that IRF7 and β-catenin interact in the nucleus, giving rise to a novel, non-canonical pathway that can modulate WNT signalling. These findings may explain a novel pathway by which 5-AZA-CdR can specifically target CIC enriched populations in colorectal cancer, and highlights the importance of innate immune pathways in epigenetic therapy. Citation Format: Ilias Ettayebi, Parinaz Mehdipour, Rajat Singhania, Ankur Chakravarthy, Tiago Medina, Shu Yi Shen, Charles Ishak, David Roulois, Daniel De Carvalho. DNA demethylating agents and interferons as modulators of Wnt/β-catenin signaling in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5728.
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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) | 0.008 | 0.002 |
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".