Abstract PR018: Inflammation-induced mechanotransduction is necessary and sufficient to create pre-cancerous squamous lung metaplasias and necessary to drive progression to dysplasia
Bibliographic record
Abstract
Abstract Chronic exposure to tobacco smoke triggers chronic inflammation, fostering a fibrotic microenvironment and promoting the focal replacement of columnar human bronchial epithelial cells (hBECs) with cells exhibiting squamous morphology, termed metaplasia. How squamous metaplasia progresses to squamous dysplasia and, ultimately, squamous lung carcinoma is under intense investigation. Using human bronchial tissues, we demonstrate that, both in vitro and in vivo, cellular stress associated with chronic inflammation (e.g., oxidative stress, DNA damage) enhances TGF-β signaling and creates a fibroblast state exhibiting upregulated HSP47 expression, driving increased collagen fiber alignment, elevated tissue stiffness, and subsequent activation of YAP-dependent mechanotransduction in adjacent hBECs. These Stress/Tension-producing Instructive Fibroblasts (STIFs) alone were sufficient to induce hBECs to squamous metaplasia, precursors to tumor formation. Furthermore, when tumor suppressor function was compromised in hBECs, STIFs induced dysplastic phenotypes. Mechanistically, STIFs act in a dominant manner modulating epithelial cell identity and malignant phenotypes via extracellular matrix (ECM)-dependent mechanotransduction. Inhibition of HSP47-dependent collagen processing effectively prevented fibroblast-induced squamous metaplasia and dysplasia and was capable of reversing fibroblast-induced metaplasia, restoring bronchial epithelial cell identity. Citation Format: Thea D. Tisty, Deng Pan, Philippe Gascard, Joseph Caruso, Lorenzo Ferri, Chira Chen-Tanyolac. Inflammation-induced mechanotransduction is necessary and sufficient to create pre-cancerous squamous lung metaplasias and necessary to drive progression to dysplasia [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr PR018.
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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) | 0.020 | 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".