Disruption of integrin alpha-5/beta-1-dependent transforming growth factor beta-1 signaling pathway attenuates vessel co-option in colorectal cancer liver metastases
Bibliographic record
Abstract
Abstract Colorectal cancer liver metastases (CRCLM) have two major histopathological growth patterns (HGPs) including angiogenic desmoplastic HGP (DHGP) and non-angiogenic replacement HGP (RHGP). The RHGP lesions obtain their blood supply through vessel co-option, where the cancer cells hijack the pre-existing blood vessels of the surrounding liver tissue. Consequently, anti-angiogenic therapies are less efficacious in CRCLM patients with RHGP lesions. Recently, we identified a positive correlation between the expression of Angiopoietin1 (Ang1) and the development of vessel co-opted CRCLM lesions in vivo. However, the mechanisms underlying Ang1 upregulation in vessel co-opting CRCLM lesions are unclear. Herein, we demonstrated that transforming growth factor β1 (TGFβ1) modulates the expression of Ang1 in hepatocytes in vitro. Significantly, pharmaceutical inhibition of integrin alpha-5/beta-1 (ITGα5β1) through ATN-161 impaired TGFβ1-dependent Ang1 expression in vitro and in vivo. Moreover, blocking ITGα5β1 attenuated the formation of vessel co-opting lesions. Furthermore, treatment with ATN-161 significantly improved survival in tumour-bearing mice. Taken together, our results suggest the molecular mechanism of Ang1 upregulation in vessel co-opting CRCLM and targeting this pathway may serve as promising therapeutic strategy to overcome the development of vessel co-option in CRCLM.
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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) | 0.001 | 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".