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Published on: January 19, 2019
Identifying novel tumor-related antigens and immune phenotypes for developing mRNA vaccines in lung adenocarcinoma
Bolun Zhou1, Ruochuan Zang1, Moyan Zhang1
1Thoracic Surgery Department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Abstract:
The mRNA vaccines have been a novel strategy of immunotherapies for multiple cancers. Although several types of mRNA vaccines have been investigated and validated in some studies, their efficacy among patients with lung adenocarcinoma (LUAD) remains largely unknown. The number of tumor-associated antigens is not enough and no study focuses on stratifying the subgroup of LUAD patients suitable for vaccination. Based on the expression profiles of immune-related genes, consensus clustering was performed to identify the most appropriate phenotype for vaccination. The immune landscape of LUAD was shown via the graph learning-based dimensionality reduction analysis. We screened for five mutated and upregulated LUAD-related antigens (CCNB1, KIAA0101, PBK, OIP5 and PLEK2) that were highly correlated with immune infiltrating cells and unfavorable clinical outcomes. And three distinct immune phenotypes were identified in the TCGA and GSE72094 cohorts. Group S1 was an immunological "hot" cluster and related to a better prognosis, whereas Group S2&S3 was an immunological "cold" cluster and associated with a poorer prognosis. At last, the results revealed heterogeneity of LUAD patients in the immune landscape. We identified five potential cancer-related antigens for mRNA vaccines, and Group S2&S3 were the most suitable phenotypes for vaccination.
Insights
Messenger RNA (mRNA) vaccines show promise for lung adenocarcinoma (LUAD) immunotherapy. Researchers identified five antigens and found that patients with "cold" immune phenotypes (Groups S2&S3) are most suitable for mRNA vaccination.
Area of Science:
- Oncology
- Immunology
- Vaccine Development
Background:
- Messenger RNA (mRNA) vaccines represent a novel immunotherapy strategy for various cancers.
- The efficacy of mRNA vaccines in lung adenocarcinoma (LUAD) patients is largely undetermined.
- Identifying suitable patient subgroups and sufficient tumor-associated antigens is crucial for LUAD mRNA vaccine development.
Purpose of the Study:
- To stratify lung adenocarcinoma (LUAD) patients based on immune profiles for potential mRNA vaccination.
- To identify novel tumor-associated antigens suitable for LUAD mRNA vaccine development.
- To explore the immune landscape of LUAD.
Main Methods:
- Consensus clustering based on immune-related gene expression profiles to identify LUAD phenotypes.
- Graph learning-based dimensionality reduction to analyze the LUAD immune landscape.
- Screening for mutated and upregulated LUAD-related antigens correlated with immune infiltration and clinical outcomes.
Main Results:
- Five mutated and upregulated LUAD-related antigens (CCNB1, KIAA0101, PBK, OIP5, PLEK2) were identified.
- Three distinct immune phenotypes (Groups S1, S2, S3) were discovered across TCGA and GSE72094 cohorts.
- Group S1 exhibited an "hot" immune phenotype with better prognosis, while Groups S2&S3 showed a "cold" immune phenotype associated with poorer prognosis.
Conclusions:
- Lung adenocarcinoma (LUAD) patients display significant heterogeneity in their immune landscape.
- Five novel cancer-related antigens were identified as potential targets for mRNA vaccines.
- Patients with "cold" immune phenotypes (Groups S2&S3) are the most suitable candidates for mRNA vaccination in LUAD.
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