ArticleJournal of materials chemistry. B2022
Comparison of the uptake of untargeted and targeted immunostimulatory nanoparticles by immune cells in the microenvironment of metastatic breast cancer.
Article in Journal of materials chemistry. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 16 citations in OpenAlex.
- Review
- Rutin-encapsulated manganese carbonate nanoparticles for 'liver-dark/tumor-bright' magnetic resonance imaging and inhibition of breast cancer with liver metastases.Regenerative biomaterials · 2026Article
- Targeting the redox-programmed cell death axis in breast cancer: from molecular mechanisms to therapeutic resistance.Cell death discovery · 2025Review
- Lipid Nanoparticles and PEG: Time Frame of Immune Checkpoint Blockade Can Be Controlled by Adjusting the Rate of Cellular Uptake of Nanoparticles.Molecular pharmaceutics · 2025Article
- For and against tumor microenvironment: Nanoparticle-based strategies for active cancer therapy.Materials today. Bio · 2025Review
- Nanoparticle delivery of innate immune agonists combined with senescence-inducing agents promotes T cell control of pancreatic cancer.Science translational medicine · 2024Article
- Breast Cancer Treatment Strategies Targeting the Tumor Microenvironment: How to Convert "Cold" Tumors to "Hot" Tumors.International journal of molecular sciences · 2024Review
- Engineering approaches for innate immune-mediated tumor microenvironment remodeling.Immuno-oncology technology · 2024Review
- Nanomaterial-encapsulated STING agonists for immune modulation in cancer therapy.Biomarker research · 2024Review
- Review
- Metallic Nanoparticles: Their Potential Role in Breast Cancer Immunotherapy via Trained Immunity Provocation.Biomedicines · 2023Review
- Targeting the stimulator of interferon genes (STING) in breast cancer.Frontiers in pharmacology · 2023Review
- Chemical and Biomolecular Strategies for STING Pathway Activation in Cancer Immunotherapy.Chemical reviews · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
To alter the immunosuppressive tumor microenvironment (TME), we developed an immunostimulatory nanoparticle (NP) to reprogram a tumor's dysfunctional and inhibitory antigen-presenting cells (APCs) into properly activated APCs that stimulate tumor-reactive cytotoxic T cells. Importantly, systemic delivery allowed NPs to efficiently utilize the entire microvasculature and gain access into the majority of the perivascular TME, which coincided with the APC-rich tumor areas leading to uptake of the NPs predominantly by APCs. In this work, a 60 nm NP was loaded with a STING agonist, which triggered robust production of interferon β, resulting in activation of APCs. In addition to untargeted NPs, we employed 'mainstream' ligands targeting fibronectin, α
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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.