Role of myofibroblasts in innate chemoresistance of pancreatic carcinoma—Epigenetic downregulation of caspases
Bibliographic record
Abstract
We recently reported on continuous tumor-stroma interactions essentially contributing to chemoresistance of pancreatic ductal adenocarcinoma (PDAC) cells. As demonstrated here, long-term coculture with pancreatic myofibroblasts representing the main stromal compartment of PDAC resulted in a chemoresistant phenotype in the pancreatic ductal epithelial cell line H6c7 as well as in the chemosensitive PDAC cell line T3M4. This involved a reduced expression of caspases and the caspase inducing transcription factor STAT1, both caused by diminished gene transcription. The DNA-methylation inhibitor 5-azadeoxycytidine enhanced caspase and STAT1 expression in cocultured H6c7 and T3M4 cells along with an increased chemosensitivity, indicating a role for CpG DNA-hypermethylation in the downregulation of these crucial apoptosis mediators. Cocultured H6c7 and T3M4 cells exhibited elevated nuclear levels of DNA-methyltransferase-1 (DNMT1). Silencing of DNMT1 expression by siRNA increased expression of caspases and STAT1 and restored chemosensitivity. In SCID mice, tumors arising from coinoculated T3M4 cells and myofibroblasts (co-tumors) responded less towards chemotherapy than mono-tumors, exhibiting decreased apoptosis, no remission and reduced expression of caspases and STAT1. These data underscore the role of myofibroblasts in chemoresistance of PDAC and point to the importance of caspases as central target structures of epigenetic regulation in this scenario. Furthermore, an activated microenvironment might apparently promote the manifestation of chemoresistance already in premalignant precursor cells at early stages of PDAC tumorigenesis.
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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 | 0.000 |
| 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".