ArticleMolecular pharmaceutics2017
Self-Assembling Peptide Epitopes as Novel Platform for Anticancer Vaccination.
Article in Molecular pharmaceutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Review
- Review
- Self-assembled peptide/polymer hybrid nanoplatform for cancer immunostimulating therapies.Drug delivery and translational research · 2024Article
- Peptide Assemblies for Cancer Therapy.ChemMedChem · 2023Review
- Liposomal Formulations of a Polyleucine-Antigen Conjugate as Therapeutic Vaccines against Cervical Cancer.Pharmaceutics · 2023Article
- Antitumor Peptide-Based Vaccine in the Limelight.Vaccines · 2022Review
- Emerging prospects of protein/peptide-based nanoassemblies for drug delivery and vaccine development.Nano research · 2022Article
- From design to clinic: Engineered peptide nanomaterials for cancer immunotherapy.Frontiers in chemistry · 2022Review
- Peptide-Based Nanovaccines in the Treatment of Cervical Cancer: A Review of Recent Advances.International journal of nanomedicine · 2022Review
- Cationic Nanoparticle-Based Cancer Vaccines.Pharmaceutics · 2021Review
- Self-Assembly as a Molecular Strategy to Improve Immunotherapy.Accounts of chemical research · 2020Article
- Direct Identification of Amyloid Peptide Fragments in Human α-Synuclein Based on Consecutive Hydrophobic Amino Acids.ACS omega · 2020Article
- Poly(amino acids) as a potent self-adjuvanting delivery system for peptide-based nanovaccines.Science advances · 2020Article
- A supramolecular protein chaperone for vaccine delivery.Theranostics · 2020Article
- Advances in intracellular delivery through supramolecular self-assembly of oligonucleotides and peptides.Theranostics · 2019Review
- Multicomponent peptide assemblies.Chemical Society reviews · 2018Review
- Active immunotherapy for TNF-mediated inflammation using self-assembled peptide nanofibers.Biomaterials · 2017Article
- Toward Personalized Peptide-Based Cancer Nanovaccines: A Facile and Versatile Synthetic Approach.Bioconjugate chemistry · 2017Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to improve the immunogenicity of peptide epitope vaccines using novel nanocarriers based on self-assembling materials. Several studies demonstrated that peptide antigens in nanoparticulate form induce stronger immune responses than their soluble forms. However, several issues such as poor loading and risk of inducing T cell anergy due to premature release of antigenic epitopes have challenged the clinical success of such systems. In the present study, we developed two vaccine delivery systems by appending a self-assembling peptide (Ac-AAVVLLLW-COOH) or a thermosensitive polymer poly(N-isopropylacrylamide (pNIPAm) to the N-terminus of different peptide antigens (OVA
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.