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Omics · study · 2026

In vivo engineering tumor cells to a universal ‘all-in-one’ cancer vaccine with full antigen spectrum [scRNA-Seq]

Listed in NCBI GEO

Cancer vaccines offer a promising strategy to initiate de novo T cell responses or enhance existing ones, either functioning independently or synergizing with T cell-modulating therapeutics to reduce tumor burden.

Description

The clinical development of cancer vaccines faces challenges such as limited antigen coverage, insufficient antigen presentation, immune suppressive microenvironment, and the availability of personalized vaccines.

In this study, we developed a Universal ‘all-in-one’ Cancer cell-derived Vaccine (UniCVac) with comprehensive antigen spectrum coverage by programming tumor cells into antigen-presenting cells (APCs) through the co-delivery of CIITA, NLRC5, CD80, and IL-2. This reprogramming mimics the professional APC phenotype, providing simultaneous HLA-I and HLA-II antigen presentation, co-stimulation, and T cell proliferation signals.

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These tumor-derived UniCVac can directly activate both CD4+ and CD8+ T cells in vitro, independent of APCs. Additionally, their co-stimulation and T cell growth-stimulating capabilities result in superior CD4+ and CD8+ T cell activation and proliferation comparable to traditional APCs, with enhanced PI3K-AKT pathways activation. Single cell transcriptome analysis confirmed the similarity in cellular subtypes between UniCVac and traditional APCs activated T cells.

In mouse models, the UniCVac vaccination reprogramed the tumor microenvironment from immunosuppressive to immune-permissive, induced robust CD4+ and CD8+ T cell expansion in both preventive and therapeutic tumor models and achieved complete tumor regression in vivo. Our approach provides a platform for the development of universal cancer vaccines with full antigen spectrum coverage and the ability to directly activate both CD4+ and CD8+ T cells, offering potential combinatorial opportunities with existing T cell-based immunotherapies against cancer.

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Life Sciences
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Cancer 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32740415 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title