Abstract A028: Growth factor signaling and kinase inhibitors regulate oncogenesis in desmoid fibromatosis by modulating activity of the beta-catenin transcription target ABL1
Bibliographic record
Abstract
Abstract Introduction: While activation of beta-catenin is associated with desmoid fibromatosis (DF), mechanisms by which this oncogene initiates tumorigenesis are unclear as are factors underlying variable biologic behavior in the disease and vulnerability to targeted therapies. This study sought to define downstream pathways dysregulated by beta-catenin that may be modulated to potentially affect patient outcome. Methods: Multiple primary DF cell lines were developed from surgical specimens, validated by Sanger sequencing, and immortalized by ectopic expression of TERT. Gene expression was assessed in DF tumors (n=45) with U133A arrays and by RNA-seq in cells. Direct targets of beta-catenin were identified by CHIP-seq. Lentiviral systems were used to deliver shRNA (or scramble control) and overexpression constructs. Cell proliferation, protein levels/phosphorylation and gene expression were assessed by CyQuant DNA quantification, immunoblot, and RT-PCR, respectively. Endothelial cell (HUVEC) tube formation was quantitated using light microscopy. Results: Gene set enrichment analysis performed on RNA-seq data comparing DF cells treated with shRNA directed against CTNNB1 showed downregulation of hypoxia-regulated genes, and unsupervised analysis clustered 45 DF tumors separately from normal mesenchymal tissue based on the expression levels of these genes. CTNNB1 knockdown (KD) was associated with reduction in HIF1A and ability of DF cells to induced endothelial tube formation in HUVEC co-cultures (71%, p<0.001); ectopic expression of HIF1A in CTNNB1 KDs rescued this effect. HIF1A KD itself inhibited DF induction of HUVEC tube formation (49%, p<0.001), but did not affect DF cell proliferation. CHIP-seq nominated ABL1, a known regulator of HIF1 translation, as a direct target of beta-catenin. CTNNB1 KD caused 65% (p=0.01) decrease in ABL1 expression, and reduction in levels of c-ABL, its downstream target p-CRKL, and HIF1-alpha. Unlike HIF1A, ABL1 KD also reduced proliferation in multiple DF cell lines (up to 90%) as did direct inhibition of c-ABL with its inhibitor dasatinib (IC50 <50nM). Dasatinib and sorafenib, a PDGFR-beta inhibitor of clinical benefit in DF, both reduced cellular levels of p-ABL, p-CRKL and HIF1a expression in DF cells. Sorafenib also inhibited HUVEC tube-formation (59% at 1uM, p<0.05) induced by DF. Conversely, exogenous PDGF-BB stimulated DF proliferation (53% increase at 20ng/ml, p<0.05), increased p-ABL, p-CRKL and HIF1a in DF and promoted endothelial cell tube formation (2-fold, p<0.05) when added to DF and HUVEC co-cultures but not HUVEC cell cultures alone. Conclusion: ABL1 is a transcriptional target of beta-catenin in DF cells and is necessary for proliferation and maintenance of HIF1-alpha levels. Regulation of c-ABL activity by PDGFR-beta and targeted therapies modulates DF cell proliferation and paracrine signaling, suggesting a reason for variable biologic behavior between tumors and a mechanism for sorafenib activity in DF. This finding may point to markers predictive of outcome in patients. Citation Format: Jia Hu, Anthony Villano, Rachael O'Connor, Yuliy Rozenberg, Alankrta Venkatesh, Mrinal Gounder, Nicholas Socci, Samuel Singer, Meera Hameed, Aimee M. Crago. Growth factor signaling and kinase inhibitors regulate oncogenesis in desmoid fibromatosis by modulating activity of the beta-catenin transcription target ABL1 [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A028.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".