[A method of screening highly common neoantigens with immunogenicity in colorectal cancer based on public somatic

Li Li Qin1,2, Yi Jian Li1, Zhao Rui Liang1

  • 1BGI-Shenzhen, Shenzhen 518083, China.

Yi Chuan = Hereditas
|July 23, 2020
PubMed

Insights

Researchers identified 25 common neoantigens in colorectal cancer (CRC) that can trigger immune responses. This discovery offers potential for developing broader immunotherapies beyond personalized treatments for CRC and other cancers.

Area of Science:

  • Oncology
  • Immunology
  • Bioinformatics

Background:

  • Colorectal cancer (CRC) presents significant global health challenges due to high incidence and mortality.
  • Current neoantigen-based immunotherapies are largely personalized, limiting their broad applicability.
  • Identifying common neoantigens associated with frequent mutations could expand treatment accessibility.

Purpose of the Study:

  • To investigate the feasibility of identifying common neoantigens in colorectal cancer.
  • To screen for immunogenic common neoantigens in CRC patients.
  • To establish a method for developing broadly applicable cancer immunotherapies.

Main Methods:

  • Utilized somatic mutation data from 321 CRC patients.
  • Applied a filtering standard and seven prediction algorithms to screen neoantigens.
  • Validated immunogenicity using in vitro stimulated cytotoxic lymphocytes (CTLs) and analyzed immune repertoire profiles via single-cell RNA sequencing.

Main Results:

  • Identified 25 HLA-A*1101-restricted common neoantigens with high binding affinity and presentation scores.
  • Eleven of these neoantigens, including KRAS_G12V8-16, induced interferon-gamma (IFN-γ) secretion in CTLs.
  • Validated T-cell receptor engineered T cells (TCR-T) targeting specific neoantigens (C1orf170_S418G413-421 and KRAS_G12V8-16) demonstrated recognition and IFN-γ secretion.

Conclusions:

  • Developed a robust method for screening immunogenic common neoantigens in CRC using public mutation data.
  • The identified neoantigens and associated T-cell receptor (TCR) information are valuable for developing peptide, dendritic cell (DC) vaccines, and TCR-T therapies.
  • This approach holds significant clinical potential for CRC and other cancers, moving beyond solely personalized treatments.

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