CXCL12-Targeted Immunomodulatory Gene Therapy Reduces Radiation-Induced Fibrosis in Healthy Tissues
Bibliographic record
Abstract
Radiation-induced fibrosis (RIF) is a progressive pathology deleteriously impacting cancer survivorship. CXCL12 is an immune-stromal signal implicated in fibrosis and innate response. We hypothesized that modulation of CXCL12 would phenotypically mitigate RIF. CXCL12 expression was characterized in a rodent model of RIF and its expression modulated by the intravascular delivery of lentiviral vectors encoding small hairpin RNA to silence (LVShCXCL12) or overexpress (LVOeCXCL12) CXCL12. Multimodal fibrotic outcomes were quantified, and flow cytometry and Y-chromosome lineage-tracking studies performed to examine cellular recruitment and activation after radiotherapy. Whole-tissue RNA sequencing was used to examine matrisomal response. MATBIII tumors were engrafted within tissues with differing levels of CXCL12 expression, and tumoral response to RT was evaluated. CXCL12 was upregulated in irradiated fibroblasts demonstrating DNA damage after radiotherapy, which led to the recruitment of CD68+ macrophages. Silencing CXCL12 with LVShCXCL12 demonstrated reduced RIF phenotype as a result of decreased macrophage recruitment. Transcriptomic profiling identified osteopontin (OPN; SPP1) as being highly differentially expressed in LVShCXCL12-treated tissues. Tumors growing in tissues devoid of CXCL12 expression responded better after RT because of reductions in peritumoral fibrosis as a result of decreased CXCL12 and OPN expression at the tumor/normal tissue interface. This was also associated with greater CD8+ T-cell infiltration in tumors with less fibrosis. Antibody-mediated OPN blockade slowed tumor growth by increased intratumoral CD8+ T-cell activation. The CXCL12/OPN axis is an important node of immune/matrisomal cross-talk in the development of fibrosis. Therapeutic manipulation of this axis may offer greater antitumor efficacy while also reducing adverse effects.
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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 | 0.000 |
| 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) | 0.000 | 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".