Cystatin C is glucocorticoid-responsive, directs recruitment of Trem2+ macrophages and predicts failure of cancer immunotherapy
Bibliographic record
Abstract
Summary Cystatin C (CyC) is a secreted cysteine protease inhibitor and its biological functions remain insufficiently characterized. Plasma CyC is elevated in many patients, especially when receiving glucocorticoid (GC) treatment. Endogenous GCs are essential for life and are appropriately upregulated in response to systemic stress. Here we empirically connect GCs with systemic regulation of CyC. We used genome-wide association and structural equation modeling to determine the genetics of the latent trait CyC production in UK Biobank. CyC production and a polygenic score (PGS) capturing germline predisposition to CyC production predicted elevated all-cause and cancer-specific mortality. We then demonstrated that CyC is a direct target of GC receptor, with GC-responsive CyC secretion exhibited by macrophages and cancer cells. Using isogenic CyC-knockout tumors, we discovered a markedly attenuated tumor growth in vivo and found abrogated recruitment of Trem2+ macrophages, which have been previously linked to failure of cancer immunotherapy. Finally, we showed that the CyC-production PGS predicted checkpoint immunotherapy failure in a combined clinical trial cohort of 685 metastatic cancer patients. Taken together, our results demonstrate that CyC may be a direct effector of GC-induced immunosuppression, acting through recruitment of Trem2+ macrophages, and therefore could be a target for combination cancer immunotherapy.
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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 | 0.001 |
| 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) | 0.003 | 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".