Drug repurposing: isosorbide mononitrate enhances tumor accumulation to augment sonodynamic therapy for hepatocellular carcinoma
Bibliographic record
Abstract
Hepatocellular carcinoma (HCC) remains a leading cause of cancer death worldwide. Sonodynamic therapy (SDT) offers a non-invasive, deep-penetrating approach by using ultrasound to activate sonosensitizers and generate cytotoxic reactive oxygen species (ROS). Yet poor intratumoral delivery and low ROS quantum yields of existing agents have stalled clinical translation. Here, we present a synergistic SDT platform that overcomes these barriers by combining transient vasodilation of tumor microvessels with the clinically widely used Antianginal drug isosorbide mononitrate and an acceptor-donor-acceptor-donor-acceptor type organic nanosonosensitizer (BTz) engineered for a narrow bandgap and enhanced ultrasound responsiveness. Isosorbide mononitrate increases nanosonosensitizer accumulation by ~ 1.8-fold. Under ultrasound irradiation, nanosonosensitizer produced high ROS generation, resulting in 78% tumor growth inhibition in murine HCC models-nearly double that of SDT alone-without detectable systemic toxicity. Crucially, the near-infrared fluorescence of nanosonosensitizer enabled real-time, image-guided tracking of sonosensitizer uptake and therapeutic response. By repurposing a safe vasodilator and integrating it with a high-performance organic sonosensitizer, this work establishes a readily translatable, minimally invasive paradigm for precise SDT of localized, inoperable or metastatic HCC.
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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 | 0.001 | 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) | 0.000 | 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".