Cold-inducible RNA-binding protein as a context-specific functional mediator of breast cancer metastasis.
Bibliographic record
Abstract
3136 Background: Cold-inducible RNA-binding protein (CIRBP) is a stress-induced mRNA-binding protein associated with clinical outcomes in a variety of human disease states. CIRBP’s role as a prognostic biomarker in breast cancer (BC) has yet to be established. Methods: We describe a clinically annotated tissue micro-array cohort of 1406 hormone receptor positive (HR+) and 281 triple negative primary breast cancers (TNBC) stained by immunohistochemistry (IHC) for CIRBP. Statistical analyses were performed with the Kaplan-Meier estimator, as well as univariate and multivariate Cox proportional-hazards models. Multivariate models incorporated tumor size, lymph node status, grade and CIRBP expression levels. Co-primary endpoints were overall survival (OS) and progression-free survival (PFS). MDA-MB-231 TNBC cells and MDA-MB-361 HR+ cells were used for CIRBP knockout (KO) by CRISPR/Cas9, and subsequent mammary fat pad injections were performed in immunocompromised mice. Results: In N=281 primary TNBCs, high levels of CIRBP expression by IHC was associated with poor prognosis in multivariate analysis (OS: adjusted hazard ratio (aHR) 2.05, 95% confidence interval (CI) 1.24-3.41, P=0.005. PFS: aHR 2.46, 95% CI 1.33-4.57, P=0.004). However, in N=1406 HR+ primary BC, CIRBP expression was correlated with favorable prognosis (OS: aHR 0.927, 95% CI 0.88-0.98, P=0.05. PFS: aHR 0.904, 95% CI 0.85-0.96, P=0.002). CIRBP KO had minimal impact on mammary fat pad primary tumor growth in both MDA-MB-231 and MDA-MB-361 cell models. However, CIRBP KO resulted in the inhibition of efficient spontaneous metastasis to the liver and lungs in TNBC MDA-MB-231 cells but not HR+ MDA-MB-361 cells. Conclusions: CIRBP expression is associated with poor prognosis in TNBC but not HR+ BC patients, a finding validated with CRISPR/Cas9 KO in representative model systems. This finding highlights the prognostic significance of CIRBP in TNBC and suggests differential underlying mRNA targets bound and modulated by CIRBP in TNBC and HR+ BC, respectively.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".