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Research Paper|Volume 15, Issue 11|pp 5190—5214

Identification of neoantigens and immunological subtypes in clear cell renal cell carcinoma for mRNA vaccine development and patient selection

Daoqi Zhu1, Jiabin Yang1, Minyi Zhang2, Zhongxiao Han1, Meng Shao3, Qin Fan1, Yun Ma4, Dandan Xie5, Wei Xiao1
  • 1School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China
  • 2Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, Guangdong, China
  • 3Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China
  • 4Department of pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China
  • 5The Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou 510130, Guangdong, China
* Equal contribution
Received: December 30, 2022Accepted: May 26, 2023Published: June 13, 2023

Copyright: © 2023 Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Clear cell renal cell carcinoma (ccRCC) is a common urological malignancy with diverse histological types. This study aimed to detect neoantigens in ccRCC to develop mRNA vaccines and distinguish between ccRCC immunological subtypes for construction of an immune landscape to select patients suitable for vaccination. Using The Cancer Genome Atlas SpliceSeq database, The Cancer Genome Atlas, and the International Cancer Genome Consortium cohorts, we comprehensively analysed potential tumour antigens of ccRCC associated with aberrant alternative splicing, somatic mutation, nonsense-mediated mRNA decay factors, antigen-presenting cells, and overall survival. Immune subtypes (C1/C2) and nine immune gene modules of ccRCC were identified by consistency clustering and weighted correlation network analysis. The immune landscape as well as molecular and cellular characteristics of immunotypes were assessed. Rho-guanine nucleotide exchange factor 3 (ARHGEF3) was identified as a new ccRCC antigen for development of an mRNA vaccine. A higher tumour mutation burden, differential expression of immune checkpoints, and immunogenic cell death were observed in cases with the C2 immunotype. Cellular characteristics increased the complexity of the immune environment, and worse outcomes were observed in ccRCC cases with the C2 immunotype. We constructed the immune landscape for selecting patients with the C2 immunotype suitable for vaccination.