Immunotherapy‐induced reprogramming of cancer‐associated fibroblasts can promote tumor progression
Bibliographic record
Abstract
Use of immune checkpoint inhibitors (ICIs) as cancer immunotherapy has advanced rapidly in the clinic; however, ICI initiation can also cause an unexpectedly rapid acceleration of cancer progression in some patients. Here, we used a murine syngeneic melanoma model to conduct mechanistic analysis of cancer-associated fibroblast (CAF) function in cancer progression in the context of immunotherapy. We found that after ICI treatment CAFs acquire inflammatory properties, which can promote tumor progression. Mechanistically, we show that T-cell-derived interferon-γ (IFN-γ) stimulates production of tumor necrosis factor-α (TNF-α) by macrophages, facilitating CAF conversion to inflammatory CAFs. Our findings suggest that CAF/immune cell crosstalk plays an essential role in ICI-associated tumor progression.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".