Senescent Carcinoma-Associated Fibroblasts Upregulate IL8 to Enhance Prometastatic Phenotypes
Bibliographic record
Abstract
Carcinoma-associated fibroblasts (CAF) represent a significant component of pancreatic cancer stroma and are biologically implicated in tumor progression. However, evidence of both cancer-promoting and -restraining properties amongst CAFs suggests the possibility of multiple phenotypic subtypes. Here, it is demonstrated that senescent CAFs promote pancreatic cancer invasion and metastasis compared with nonsenescent control CAFs using in vitro Transwell invasion models and in vivo xenograft mouse models. Screening by gene expression microarray and cytokine ELISA assays revealed IL8 to be upregulated in senescent CAFs. Experimental modulation through IL8 overexpression or receptor inhibition implicates the IL8 pathway as a mediator of the proinvasive effects of senescent CAFs. In a cohort of human pancreatic cancer cases, more abundant stromal senescence as indicated by p16 immunohistochemistry correlated with decreased survival in patients with early-stage disease. These data support senescent fibroblasts as a pathologically and clinically relevant feature of pancreatic cancer. The inhibition of senescent stroma-cancer signaling pathways has the potential to restrain pancreatic cancer progression. IMPLICATIONS: Findings show that senescent cancer-associated fibroblasts secret excess IL8 to promote pancreatic cancer invasion and metastasis; thus, senescent CAFs represent a phenotypic subtype, challenging conventional assumptions that CAFs are a homogeneous population. Mol Cancer Res; 15(1); 3-14. ©2016 AACR.
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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) | 0.002 | 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".