AI Article Synopsis

  • The study focuses on identifying tumor-associated antigens (TAA) and neoantigens in melanoma to enhance cancer immunotherapy.
  • By using a neoantigen prediction pipeline and analyzing the immune response of tumor-infiltrating lymphocytes (TIL) in samples from seven patients, researchers found significant similarities in the immune profiles of tumor metastases from the same patient.
  • The results suggest that a small number of neoantigen-specific T cells are highly effective in targeting and killing melanoma cells, indicating that personalized immunotherapy could benefit from identifying key neoantigens.

Article Abstract

The quest for tumor-associated antigens (TAA) and neoantigens is a major focus of cancer immunotherapy. Here, we combine a neoantigen prediction pipeline and human leukocyte antigen (HLA) peptidomics to identify TAAs and neoantigens in 16 tumors derived from seven patients with melanoma and characterize their interactions with their tumor-infiltrating lymphocytes (TIL). Our investigation of the antigenic and T-cell landscapes encompassing the TAA and neoantigen signatures, their immune reactivity, and their corresponding T-cell identities provides the first comprehensive analysis of cancer cell T-cell cosignatures, allowing us to discover remarkable antigenic and TIL similarities between metastases from the same patient. Furthermore, we reveal that two neoantigen-specific clonotypes killed 90% of autologous melanoma cells, both and , showing that a limited set of neoantigen-specific T cells may play a central role in melanoma tumor rejection. Our findings indicate that combining HLA peptidomics with neoantigen predictions allows robust identification of targetable neoantigens, which could successfully guide personalized cancer immunotherapies. As neoantigen targeting is becoming more established as a powerful therapeutic approach, investigating these molecules has taken center stage. Here, we show that a limited set of neoantigen-specific T cells mediates tumor rejection, suggesting that identifying just a few antigens and their corresponding T-cell clones could guide personalized immunotherapy. .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453138PMC
http://dx.doi.org/10.1158/2159-8290.CD-17-1418DOI Listing

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