Modulation of fibronectin extracellular matrix enhances anti-tumor efficacy of immune checkpoint blockade
Bibliographic record
Abstract
The success of immune checkpoint inhibitors is limited by multiple factors, including poor T cell infiltration and function within tumors, partly due to a dense extracellular matrix (ECM). Here, we investigate modulating the ECM by targeting integrin α5β1, a major fibronectin-binding and organizing integrin, to improve immunotherapy outcomes. Use of a function-blocking murinized α5β1 antibody reduces fibronectin fibril formation, enhances CD8 + T cell transendothelial migration, increases vascular permeability, and decreases vessel-associated collagen. These changes culminate in improving the effectiveness of PD-L1 blockade, alone or with chemotherapy, in the E0771 breast cancer model. Clinically, high integrin alpha 5 (ITGA5) expression correlates with worse survival in patients treated with atezolizumab as monotherapy or combined with chemotherapy or anti-angiogenic therapies in numerous clinical trials. Overall, our studies suggest that ECM-modulating approaches could be used as a future strategy to increase the proportion of patients who respond to immune checkpoint inhibition and other immunotherapies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".