Albumin-binding dendritic siRNA improves delivery and efficacy to solid tumors in a melanoma model
Bibliographic record
Abstract
Small interfering RNA (siRNA) therapeutics are a new class of drugs that is rapidly expanding to tackle various diseases. Extrahepatic delivery of siRNAs, especially to the parenchyma of solid tumors, is challenging with multiple strategies being explored such as lipid nanoparticle based delivery and ligand conjugation strategies. Here, we report that an albumin-binding dendritic siRNA (D-siRNA) boosts blood circulation time following systemic administration, leading to improved delivery and silencing activity in a melanoma tumor model, in comparison to non-albumin binding lipophilic siRNAs. D-siRNAs increased the tumor-to-liver delivery ratio, including both immune and non-immune cell types within the tumor parenchyma. Using D-siRNAs to target JAK1 expression as an adjuvant to immune checkpoint inhibitors, we found that D-siRNAs was able to enhance PD1 antibody treatment and slow tumor progression of melanoma. Thus, this work demonstrates the utility of D-siRNAs as a systemically administered tumor delivery strategy, enabling the use of siRNAs as chemotherapeutic agents. Further mechanistic studies into the role of JAK1 in melanoma pathology and progression may expand this into additional targets as potential treatments.
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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".