Shared APC Neoantigen Data for Self-Amplifying RNA Cancer Vaccine Development

Over 80% of colorectal cancer cases are caused by mutations in the APC gene. Alfred J. Simmons used bioinformatics to identify shared neoantigen epitopes from the mutational cluster region of the APC gene in multiple patients. The dataset, last updated in June 2026, serves as proof-of-concept for a saRNA-expressed cancer vaccine against APC-associated colorectal cancer.

Use Cases

• Identifying shared neoantigen targets based on APC gene mutation analysis described in the study
• Designing virus-like particle delivery systems based on the described chimeric VLP and saRNA replicon construct
• Evaluating T-cell mediated immune responses based on the in vitro activation and restimulation assays mentioned
• Assessing in vivo vaccine immunogenicity based on the mouse model serum IgG titer results

Strengths

• The dataset is focused on a specific, high-impact target, as over 80% of colorectal cancer cases involve APC gene mutations.
• It includes in vitro and in vivo validation data, such as T-cell activation assays and significant IgG titers in mouse models.
• The work is shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is a 110.5 KB PDF file; the underlying structured data (e.g., specific epitope sequences, raw assay results) is not directly accessible.
• Column-level documentation is absent; field semantics must be inferred from the publication text.
• Row count is unknown, which may limit suitability assessment for large-scale computational analysis.

Provenance

Source

figshare

Collection Method

Bioinformatics analysis of patient data to identify shared neoantigens, followed by experimental development and testing in mouse models.

Freshness

Last updated 2026-06-04 05:19:32; freshness should be verified.