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Identification of Tumor Antigens and Immune Subtypes of Esophageal Squamous Cell Carcinoma for mRNA Vaccine Development.
Lu, Tong; Xu, Ran; Wang, Cheng-Hao; Zhao, Jia-Ying; Peng, Bo; Wang, Jun; Zhang, Lin-You.
Afiliação
  • Lu T; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Xu R; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang CH; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhao JY; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Peng B; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang J; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhang LY; Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Genet ; 13: 853113, 2022.
Article em En | MEDLINE | ID: mdl-35734437
ABSTRACT

Purpose:

The applicability of mRNA vaccines against esophageal squamous cell carcinoma (ESCC) remains unclear. Here, we identified potential antigens for developing mRNA vaccines against ESCC and characterized immune subtypes to select appropriate patients for vaccination.

Methods:

RNA-seq, genetic alteration data, and corresponding clinical information of ESCC patients were obtained from the Cancer Genome Atlas (TCGA) database. The RNA-seq data of normal esophageal tissue were obtained from the Genotype-Tissue Expression (GTEx) database. Potential tumor antigens were screened by analyzing differentially expressed and mutated genes and potential antigens with significant differences in prognosis were screened using the Kaplan-Meier method. The proportion of immune cell infiltration in the tumor microenvironment was estimated using CIBERSORT and MCPcounter, and the correlation of potential antigens with antigen-presenting cells and major histocompatibility complex class II was analyzed. Subsequently, immune subtypes were constructed using consensus clustering analysis and characterized by single-sample gene set enrichment analysis and weighted gene co-expression network analysis (WGCNA). The Genomics of Drug Sensitivity in Cancer (GDSC) database was used to analyze the drug sensitivity of different immune subtypes.

Results:

Four overexpressed and mutated tumor antigens associated with antigen presentation and poor prognosis were identified in ESCC, including NLRC5, FCRL4, TMEM229B, and LCP2. By consensus clustering, we identified two immune-associated ESCC subtypes, immune subtype 1 (IS1) and immune subtype 2 (IS2); the prognosis of the two subtypes was statistically different. In addition, the two immune subtypes had distinctly different cellular, molecular, and clinical characteristics. IS1 patients have a distinct immune "hot" phenotype with strong immune tolerance, whereas patients with IS2 have an immune "cold" phenotype. Differential expression of immune checkpoints and immunogenic cell death modulators was observed between the different immune subtypes. Finally, we found that IS1 and IS2 patients showed different drug sensitivities to common anti-tumor drugs, possibly facilitating the development of individualized treatment regimens for patients.

Conclusion:

NLRC5, LCP2, TMEM229B, and FCRL4 are potential antigens for ESCC mRNA vaccines, and such vaccines may be more suitable for IS2 patients. This study provides a theoretical basis for mRNA vaccines against ESCC, by identifying the critical characteristics to predict ESCC prognosis and select suitable patients for vaccination.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article