ArticleInternational journal of nanomedicine2025
A Novel Systemic siDR6 Delivery System Based on DP7-C for the Treatment of Metastatic Lung Cancer.
Article in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Multi-Target Antitumor Effects of Natural Products and Approved Drug Repurposing in Non-Small Cell Lung Cancer: Advances in Mechanisms, Combination Regimens, Delivery System Optimization, and Clinical Challenges.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The treatment of metastatic lung cancer, a common complication of many primary cancers, has historically been a significant clinical challenge. Once lung metastasis occurs, patients' survival is often significantly shortened. Therefore, prevention and treatment of lung metastases is an important aspect of cancer treatment. In this study, a simple, low-toxicity, cholesterol-modified cationic cell-penetrating peptide DP7 (DP7-C), in combination with siDR6 was used for intravenous administration for the treatment of lung metastases. Methods: Initially, clinical databases were analyzed to determine the expression levels of death receptor 6 (DR6) in metastatic tumors and the correlation between DR6 expression and patient survival times. The DP7-C/siDR6 micelles were prepared by a self-assembly method. By cultivating 293T, B16F10 and LL2 cells, the in vitro experiments were performed to assess the transfection efficiency, safety and anti-cancer ability of DP7-C/siDR6, while its targeting efficiency and prevention of lungs were investigated by mouse experiments. Furthermore, the therapeutic efficacy of DP7-C/siDR6 was demonstrated in the LL2 model of lung cancer in situ, the B16F10 model of artificial lung metastasis, and the 4T1 model of spontaneous lung metastasis. Results: The clinical data analysis revealed that DR6 was highly expressed in the majority of metastatic tumors and that patients with high DR6 expression exhibited significantly shorter survival times. The DP7-C/siDR6 showed high transfection efficiency, and it could inhibit tumor cell growth by suppressing the STAT3 signaling pathway. Subsequent mouse experiments demonstrated that intravenous administration of DP7-C/siDR6 resulted in efficient lung targeting. The inhibition of DR6 expression on lung endothelial cells was found to prevent metastasis-induced primary necrosis of lung endothelial cells, thereby preventing tumor metastasis. And the DP7-C/siDR6 treatment showed excellent therapeutic efficacy in the tumor models. Conclusion: The systemic delivery of DP7-C micelles carrying siDR6 provide an alternative therapeutic strategy to halt cancer lung metastasis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.