Abstract 3935: Runt related transcription factor-1 (runx1) plays a central role in vessel co-option of colorectal cancer liver metastases
Bibliographic record
Abstract
Abstract Colorectal cancer liver metastasis (CRCLM) has two major morphological growth pattern subtypes including desmoplastic (DHGP) and replacement (RHGP). The DHGP tumors depend on angiogenesis for their growth. Conversely, RHGP tumors are non-angiogenic and obtain their blood supply through vessel co-option, which the cancer cells hijacking pre-existing blood vessels of the surrounding liver tissue. Therefore, anti-angiogenic therapies have shown modest efficacy in CRCLM patients with RHGP lesions. In this study, we found overexpression of Runt Related Transcription Factor-1 (RUNX1) in the cancer cells of RHGP lesions. Upregulation of RUNX1 is positively correlated with cancer cell motility and epithelial mesenchymal transition (EMT) in vitro. Our results also showed that RUNX1 regulated by Transforming Growth Factor Beta-1 (TGFβ1) through TGFβ Receptor II (TGFβRII). Significantly, RUNX1 knockdown induced conversion RHGP lesions to DHGP in vivo. Collectively, this study suggests RUNX1 as a potential target therapy to overcome resistance to anti-angiogenic therapy in CRCLM. Citation Format: Miran Rada, Audrey Kapelanski-Lamoureux, Stephanie Petrillo, Sébastien Tabariès, Peter Siegel, Anthoula Lazaris, Peter Metrakos. Runt related transcription factor-1 (runx1) plays a central role in vessel co-option of colorectal cancer liver metastases [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3935.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".