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The impact of antigenic molecular mimicry on anti-cancer T-cell immune response

Authors: Tagliamonte, Maria; Buonaguro, Luigi;

The impact of antigenic molecular mimicry on anti-cancer T-cell immune response

Abstract

Individuals are exposed to intracellular pathogens (i.e. viruses and intracellular bacteria) and intestinal microbiota, collectively microorganisms (MOs), which enter the body during the host’s lifetime. Altogether, MOs are a natural source of non-self antigens (MoAs) expressed by host’s cells in the context of the HLA class I molecules, inducing a wide pool of specific memory CD8+ T cell clones. Such MoAs have been shown in selected cases to share sequence and structural homology with cellular self-antigens (molecular mimicry), possibly inducing autoimmune reactions leading to autoimmune diseases (ADs). We have recently shown that a molecular mimicry may be found also to self-antigens presented by cancer cells (i.e. tumor-associated antigens, TAAs). Consequently, memory CD8+ T cell clones specific for the MoAs may turn out to be a natural “anti-cancer vaccination” if a nascent tumor lesion should express TAAs similar or identical to MoAs. We postulate that selecting MoAs with high homology to TAAs would greatly improve the efficacy of cancer vaccines in both preventive and therapeutic settings. Indeed, non-self MoAs are potently immunogenic because not affected by central immune tolerance. Unravelling the impact of the antigenic molecular mimicry between MoAs and TAAs might pave the way for novel anti-cancer immunotherapies with unprecedented efficacy.

Keywords

Oncology, microbiota, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, molecular mimicry, virus, anti-cancer immune response, cancer vaccine, RC254-282, cross-reacting T cells

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
7
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Average
Top 10%
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