C1QTNF Related protein 8 (CTRP8) is a marker of myeloid derived innate immune cell populations in the human breast cancer microenvironment
Bibliographic record
Abstract
Innate immune cells in the tumor microenvironment (TME) play an important role in breast cancer (BC) metastatic spread and influence patient survival. Macrophages differentiate along a proinflammatory M1 to protumorigenic M2 phenotype spectrum which affects distinct functions, like angiogenesis and cytokine production, and modulates BC aggressiveness and affects patient survival. Mast cells (MCs) are myeloid derived cells that serve as the first line of innate immune defense but their role in the TME of BC is not well understood. In this study, we have identified a subpopulation of innate immune cells that shows strong immunopositivity for the least studied adipokine CTRP8. Using a new and highly specific polyclonal antiserum on patient BC tissues, we identify a subset of tryptase + MCs and CD68 + macrophages co-expressing immunoreactive CTRP8. In M1 polarized THP-1 myeloid cells, this adipokine stimulated increased secretion of pro-inflammatory cytokines and elevated expression of the relaxin/ CTRP8 receptor RXFP1. Comparative analysis of secreted cytokine profiles in THP-1 M1 macrophages exposed to either CTRP8, relaxin-2 (RLN2), or the small molecule RXFP1 agonist ML-290 revealed ligand-specific cytokine signatures. Our study identified novel subsets of CTRP8 + myeloid derived innate immune cells and links this adipokine to pro-inflammatory events in the TME of BC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".