Identification of Five Tumor Antigens for Development and Two Immune Subtypes for Personalized Medicine of mRNA Vaccines in Papillary Renal Cell Carcinoma

Increasing evidence has revealed the promise of mRNA-type cancer vaccines as a new direction for cancer immune treatment in several solid tumors, however, its application in papillary renal cell carcinoma (PRCC) remains unclear. The purpose of this study was to identify potential tumor antigens and...

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Bibliographic Details
Published in:	Journal of personalized medicine Vol. 13; no. 2; p. 359
Main Authors:	Hu, Jianpei, Yuan, Zhongze, Jiang, Yifen, Mo, Zengnan
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 18-02-2023 MDPI
Subjects:	Algorithms Analysis Antigen (tumor-associated) Antigen-presenting cells Antigens Antimitotic agents Antineoplastic agents B cells Cancer Cancer vaccines Carcinoma, Renal cell Care and treatment Dendritic cells Gene expression Genetic aspects Genomes Genomics Kidney cancer LIM kinase Lymphocytes Medical prognosis Medical research Medicine, Experimental Messenger RNA Metastases mRNA mRNA vaccines Mutation Papillary renal cell carcinoma Patients Phenotypes Precision medicine Solid tumors Tumor antigens Vaccination Vaccines immune landscape papillary renal cell carcinoma tumor antigens mRNA vaccine personalized medicine
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Summary:	Increasing evidence has revealed the promise of mRNA-type cancer vaccines as a new direction for cancer immune treatment in several solid tumors, however, its application in papillary renal cell carcinoma (PRCC) remains unclear. The purpose of this study was to identify potential tumor antigens and robust immune subtypes for the development and appropriate use of anti-PRCC mRNA vaccines, respectively. Raw sequencing data and clinical information of PRCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The cBioPortal was utilized for the visualization and comparison of genetic alterations. The TIMER was used to assess the correlation between preliminary tumor antigens and the abundance of infiltrated antigen presenting cells (APCs). Immune subtypes were determined by the consensus clustering algorithm, and clinical and molecular discrepancies were further explored for a deeper understanding of immune subtypes. Five tumor antigens, including ALOX15B, HS3ST2, PIGR, ZMYND15 and LIMK1, were identified for PRCC, which were correlated with patients' prognoses and infiltration levels of APCs. Two immune subtypes (IS1 and IS2) were disclosed with obviously distinct clinical and molecular characteristics. Compared with IS2, IS1 exhibited a significantly immune-suppressive phenotype, which largely weakened the efficacy of the mRNA vaccine. Overall, our study provides some insights for the design of anti-PRCC mRNA vaccines and, more importantly, the selection of suitable patients to be vaccinated.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors contributed equally to this work.
ISSN:	2075-4426 2075-4426
DOI:	10.3390/jpm13020359