Abstract PO-117: The role of Hippo signaling in stromal-epithelial interactions in acinar-to-ductal metaplasia and pancreatic cancer initiation
Bibliographic record
Abstract
Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer deaths with a 5-year survival rate of approximately 7%. PDAC may originate from acinar cell trans-differentiation into ductal-like cells, termed acinar-to-ductal metaplasia (ADM), triggered by chronic pancreatitis and/or mutations in K-Ras. The progression to PDAC is associated with a dense fibrotic stroma, including cancer-associated fibroblasts (CAFs). YAP is a tension-stimulated CAF activator that promotes ECM stiffening, creating a permissive microenvironment for cancer progression. We hypothesize that the Hippo pathway may coordinate fibroinflammatory signals emanating from the stromal compartment during regenerative responses to acinar cell injury and progression towards PDAC. Methods: To resolve the transcriptional changes occurring during the transition to ADM and PDAC, we mapped the in situ expression of over 1800 RNA targets in patient-derived tissues using NanoString Technologies’ Digital Spatial Profiling (DSP) technology. We also performed immune-profiling and evaluated Yap expression in human ADM by immunohistochemistry. To study the in vivo role of Hippo signaling in stromal cells, we conditionally deleted Yap/Taz in Collagen1a2-producing cells in a murine model of caerulein-induced pancreatitis, which recapitulates many of the features associated with human ADM. I will analyze the resulting phenotype by immunostaining for metaplastic, proliferative, immune and stromal markers. Results: DSP analysis revealed genes implicated in fibroblast activation, epithelial-to-mesenchymal transition (EMT), neutrophil activation and IFNγ signaling as potential key drivers of ADM. I will further evaluate the expression of candidate genes and survey Yap expression at the single cell level in human ADM tissue by multiplexed RNAscope in situ hybridization. We found up-regulation of CD4+ and CD8+ T cells in ADM, and an increasing trend of neutrophil and macrophage accumulation in the progression from normal parenchyma to ADM to PDAC. Conclusions: This work will provide an in-depth understanding of epithelial-stroma crosstalk in ADM and a foundation for the development of new therapeutic strategies for treating non-invasive precursor lesions like ADM, thereby preventing pancreatic cancer progression. Source of Funding: This research is supported by the Fonds de Recherce du Quebec – Santé (FRQS), Canadian Institutes of Health Research (CIHR) and the Research Institute of the McGill University Health Centre (RI-MUHC). Citation Format: Julia Messina-Pacheco, Yasser Riazalhosseini, Zu-hua Gao, Alex Gregorieff. The role of Hippo signaling in stromal-epithelial interactions in acinar-to-ductal metaplasia and pancreatic cancer initiation [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2021 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2021;81(22 Suppl):Abstract nr PO-117.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.003 | 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".