Improvement in neoantigen prediction via integration of RNA sequencing data for variant calling

通过整合 RNA 测序数据进行变异调用来改进新抗原预测

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作者:Bui Que Tran Nguyen, Thi Phuong Diem Tran, Huu Thinh Nguyen, Thanh Nhan Nguyen, Thi Mong Quynh Pham, Hoang Thien Phuc Nguyen, Duc Huy Tran, Vy Nguyen, Thanh Sang Tran, Truong-Vinh Ngoc Pham, Minh-Triet Le, Minh-Duy Phan, Hoa Giang, Hoai-Nghia Nguyen, Le Son Tran

Discussion

This integrative approach holds great potential for improving the selection of neoantigens for personalized cancer immunotherapy, ultimately leading to enhanced treatment outcomes and improved survival rates for cancer patients.

Methods

In this study, we characterize the mutation profiles identified from DNAseq and/or RNAseq data in tumor tissues of 25 patients with colorectal cancer (CRC). Immunogenicity was then validated by ELISpot assay using long synthesis peptides (sLP).

Results

We detected only 22.4% of variants shared between the two methods. In contrast, RNAseq-derived variants displayed unique features of affinity and immunogenicity. We further established that neoantigen candidates identified by RNAseq data significantly increased the number of highly immunogenic neoantigens (confirmed by ELISpot) that would otherwise be overlooked if relying solely on DNAseq data.

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