# RNA sequencing enables neoantigen discovery and vaccine validation in breast and lung cancer

**Authors:** Hongye Hu, Yicheng Xiong, Danhong Lu, Weihong Sun, Xiaoping Su, Danni Mo, Lu Chen, Guan Wang, Jiayan Wang, Xiaohua Zhang, Mingdong Lu, Guanli Huang

PMC · DOI: 10.3389/fimmu.2025.1682312 · Frontiers in Immunology · 2025-10-08

## TL;DR

This study shows that RNA sequencing alone can identify cancer-specific targets for vaccines, which could lead to more efficient and personalized cancer immunotherapy.

## Contribution

The study introduces a streamlined neoantigen identification pipeline using only RNA sequencing, enabling faster and more cost-effective vaccine development.

## Key findings

- RNA sequencing alone successfully identified neoantigens in breast and lung cancer models.
- Neoantigen vaccines based on RNA sequencing elicited specific T-cell responses and antitumor effects in mice.
- CD3+/CD137+ T cells were increased in RNA-derived neoantigen groups and infiltrated tumor tissues.

## Abstract

Neoantigens have emerged as promising targets for personalized cancer immunotherapy due to their tumor-specific immunogenicity. However, current neoantigen prediction methods relying on combined DNA/RNA sequencing are costly and time-consuming, limiting clinical applicability. This study aimed to establish a streamlined neoantigen identification pipeline using RNA sequencing alone, evaluating its efficacy in breast and lung cancer models.

We conducted neoantigen profiling of human and mice cancers using an in silico prediction pipeline based only on RNA sequencing. We also performed neoantigen-specific T responses experiments using autologous BMDCs and PBMCs with the predicted neoantigen peptides, and ultimately demonstrating significant antitumor efficacy in murine models through in vivo therapeutic evaluation.

We identified neoantigens in mice breast cancer cell 4T1, lung cancer cell LLC and one breast cancer patient based only on RNA sequencing. In vitro experiments demonstrated that these neoantigens triggered specific T-cell responses in BALB/c mice and the patient. Mechanistic studies revealed an increased proportion of CD3+/CD137+ T cells in the RNA-derived neoantigen peptide group, with significant infiltration of CD3+/CD137+ T cells into tumor tissues.

RNA sequencing alone enables efficient neoantigen prediction and vaccine design, and the neoantigen vaccine can elicit an antitumor reaction against mouse breast cancer and lung cancer. The study showed that neoantigen prediction using RNA sequencing alone holds promise as a novel immunotherapeutic approach for cancer patients.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989), lung cancer (MONDO:0005138)
- **Species:** Mus musculus (taxon 10090), Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** Cd247 (CD247 antigen) [NCBI Gene 12503] {aka 4930549J05Rik, A430104F18Rik, Cd3, Cd3-eta, Cd3-zeta, Cd3h}, Tnfrsf9 (tumor necrosis factor receptor superfamily, member 9) [NCBI Gene 21942] {aka 4-1BB, A930040I11Rik, CDw137, Cd137, ILA, Ly63}
- **Diseases:** breast and lung cancer (MESH:D001943), cancer (MESH:D009369), lung cancer (MESH:D008175)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** 4T1 — Mus musculus (Mouse), Malignant neoplasms of the mouse mammary gland, Cancer cell line (CVCL_0125), LLC — Mus musculus (Mouse), Malignant tumors of the mouse pulmonary system, Cancer cell line (CVCL_5653)

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12540381/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/PMC12540381/full.md

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Source: https://tomesphere.com/paper/PMC12540381