ArticleAdvanced healthcare materials2023
Dual-Targeting Nanoliposome Improves Proinflammatory Immunomodulation of the Tumor Microenvironment.
Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Pre-treatment of cabozantinib prior to hypofractionated radiotherapy increases immunomodulatory effects and tumor size reduction in a 4T1 breast cancer murine model.Scientific reports · 2026Article
- Nano-Immunotherapy Targeting TAMs: Precisely Regulating TAMs to Reverse Immunosuppressive TME.International journal of nanomedicine · 2026Review
- Smart delivery vehicles for cancer: categories, unique roles and therapeutic strategies.Nanoscale advances · 2024Review
- Biopolymer-Based Nanomedicine for Cancer Therapy: Opportunities and Challenges.International journal of nanomedicine · 2024Review
- Nanotherapeutics for Macrophage Network Modulation in Tumor Microenvironments: Targets and Tools.International journal of nanomedicine · 2024Review
- Dual-Targeting Nanoliposome Improves Proinflammatory Immunomodulation of the Tumor Microenvironment.Advanced healthcare materials · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunotherapies targeting immune checkpoints have revolutionized cancer treatment by normalizing the immunosuppressive microenvironment of tumors and reducing adverse effects on the immune system. Indoleamine 2,3-dioxygenase (IDO) inhibitors have garnered attention as a promising therapeutic agent for cancer. However, their application alone has shown limited clinical benefits. Cabozantinib, a multitarget tyrosine kinase inhibitor, holds immunomodulatory potential by promoting infiltration and activation of effector cells and inhibiting suppressive immune cells. Despite its potential, cabozantinib as a monotherapy has shown limited efficacy in terms of objective response rate. In this study, IDO-IN-7 and cabozantinib are coencapsulated into liposomes to enhance tumor accumulation and minimize adverse effects. The liposomal combination exhibits potent cytotoxicity and inhibits the function of IDO enzyme. Furthermore, the dual-targeted treatment effectively inhibits tumor development and reverses the suppressive tumor microenvironment by regulating both adaptive and innate branch of immune system. This is evidenced by pronounced infiltration of T cells and B cells, a decrease of regulatory T lymphocytes, a shift to a proinflammatory phenotype of tumor-associated macrophages, and increases levels of neutrophils. This is the first developed of a liposome-delivered combination of IDO inhibitors and cabozantinib, and holds great potential for future clinical application as a promising anticancer strategy.
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.