Multi-omics and AI-driven immune subtyping to optimize neoantigen-based vaccines for colorectal cancer.

doi:10.1038/s41598-025-01680-1

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Article

Multi-omics and AI-driven immune subtyping to optimize neoantigen-based vaccines for colorectal cancer.

Scientific reports - 2 Jun 2025

Vasudevan Karthick, T Dhanushkumar, Hebbar Sripad Rama, Selvam Prasanna Kumar, Rambabu Majji, Anbarasu Krishnan, Rohini Karunakaran

Abstract excerpt

Colorectal cancer (CRC) presents significant challenges due to limited targeted therapeutic options. This study integrates multi-omics analysis and AI to identify tumor antigens and immune gene targets for personalized immunotherapy. Using TCGA, differential expression and mutation analysis, we identified overexpressed and mutated genes in CRC. Among these, 62 neoantigens were shortlisted as potential tumor...

Read the complete abstract on PubMed

Topics

Humans
Colorectal Neoplasms
Antigens, Neoplasm
Cancer Vaccines
Immunotherapy
Kinesins

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Gene Expression Regulation, Neoplastic

Machine Learning

Biomarkers, Tumor

Prognosis

Artificial Intelligence

Mutation

Multiomics

Source

Open in PubMed Open full text

Identifiers

PMID: 40456769
DOI: 10.1038/s41598-025-01680-1
PMCID: PMC12130252

Genes

KIF4A
TTK

Provenance

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