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      Cross-reactive CD8 + T cell responses to tumor-associated antigens (TAAs) and homologous microbiota-derived antigens (MoAs)

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          Abstract

          Background

          We have recently shown extensive sequence and conformational homology between tumor-associated antigens (TAAs) and antigens derived from microorganisms (MoAs). The present study aimed to assess the breadth of T-cell recognition specific to MoAs and the corresponding TAAs in healthy subjects (HS) and patients with cancer (CP).

          Method

          A library of > 100 peptide-MHC (pMHC) combinations was used to generate DNA-barcode labelled multimers. Homologous peptides were selected from the Cancer Antigenic Peptide Database, as well as Bacteroidetes/Firmicutes-derived peptides. They were incubated with CD8 + T cells from the peripheral blood of HLA-A*02:01 healthy individuals ( n = 10) and cancer patients ( n = 16). T cell recognition was identified using tetramer-staining analysis. Cytotoxicity assay was performed using as target cells TAP-deficient T2 cells loaded with MoA or the paired TuA.

          Results

          A total of 66 unique pMHC recognized by CD8+ T cells across all groups were identified. Of these, 21 epitopes from microbiota were identified as novel immunological targets. Reactivity against selected TAAs was observed for both HS and CP. pMHC tetramer staining confirmed CD8+ T cell populations cross-reacting with CTA SSX2 and paired microbiota epitopes. Moreover, PBMCs activated with the MoA where shown to release IFNγ as well as to exert cytotoxic activity against cells presenting the paired TuA.

          Conclusions

          Several predicted microbiota-derived MoAs are recognized by T cells in HS and CP. Reactivity against TAAs was observed also in HS, primed by the homologous bacterial antigens. CD8+ T cells cross-reacting with MAGE-A1 and paired microbiota epitopes were identified in three subjects. Therefore, the microbiota can elicit an extensive repertoire of natural memory T cells to TAAs, possibly able to control tumor growth (“natural anti-cancer vaccination”). In addition, non-self MoAs can be included in preventive/therapeutic off-the-shelf cancer vaccines with more potent anti-tumor efficacy than those based on TAAs.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13046-024-03004-z.

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          Most cited references46

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          Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors

          Immune checkpoint inhibitors (ICI) targeting the PD-1/PD-L1 axis induce sustained clinical responses in a sizeable minority of cancer patients. Here, we show that primary resistance to ICI can be due to abnormal gut microbiome composition. Antibiotics (ATB) inhibited the clinical benefit of ICI in patients with advanced cancer. Fecal microbiota transplantation (FMT) from cancer patients who responded to ICI (but not from non-responding patients) into germ-free or ATB-treated mice ameliorated the antitumor effects of PD-1 blockade. Metagenomics of patient stools at diagnosis revealed correlations between clinical responses to ICI and the relative abundance of Akkermansia muciniphila. Oral supplementation with A. muciniphila post-FMT with non-responder feces restored the efficacy of PD-1 blockade in an IL-12-dependent manner, by increasing the recruitment of CCR9+CXCR3+CD4+ T lymphocytes into tumor beds.
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            Gut microbiota in human metabolic health and disease

            Observational findings achieved during the past two decades suggest that the intestinal microbiota may contribute to the metabolic health of the human host and, when aberrant, to the pathogenesis of various common metabolic disorders including obesity, type 2 diabetes, non-alcoholic liver disease, cardio-metabolic diseases and malnutrition. However, to gain a mechanistic understanding of how the gut microbiota affects host metabolism, research is moving from descriptive microbiota census analyses to cause-and-effect studies. Joint analyses of high-throughput human multi-omics data, including metagenomics and metabolomics data, together with measures of host physiology and mechanistic experiments in humans, animals and cells hold potential as initial steps in the identification of potential molecular mechanisms behind reported associations. In this Review, we discuss the current knowledge on how gut microbiota and derived microbial compounds may link to metabolism of the healthy host or to the pathogenesis of common metabolic diseases. We highlight examples of microbiota-targeted interventions aiming to optimize metabolic health, and we provide perspectives for future basic and translational investigations within the nascent and promising research field.
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              Enterotypes of the human gut microbiome.

              Our knowledge of species and functional composition of the human gut microbiome is rapidly increasing, but it is still based on very few cohorts and little is known about variation across the world. By combining 22 newly sequenced faecal metagenomes of individuals from four countries with previously published data sets, here we identify three robust clusters (referred to as enterotypes hereafter) that are not nation or continent specific. We also confirmed the enterotypes in two published, larger cohorts, indicating that intestinal microbiota variation is generally stratified, not continuous. This indicates further the existence of a limited number of well-balanced host-microbial symbiotic states that might respond differently to diet and drug intake. The enterotypes are mostly driven by species composition, but abundant molecular functions are not necessarily provided by abundant species, highlighting the importance of a functional analysis to understand microbial communities. Although individual host properties such as body mass index, age, or gender cannot explain the observed enterotypes, data-driven marker genes or functional modules can be identified for each of these host properties. For example, twelve genes significantly correlate with age and three functional modules with the body mass index, hinting at a diagnostic potential of microbial markers.
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                Author and article information

                Contributors
                m.tagliamonte@istitutotumori.na.it
                l.buonaguro@istitutotumori.na.it
                Journal
                J Exp Clin Cancer Res
                J Exp Clin Cancer Res
                Journal of Experimental & Clinical Cancer Research : CR
                BioMed Central (London )
                0392-9078
                1756-9966
                20 March 2024
                20 March 2024
                2024
                : 43
                : 87
                Affiliations
                [1 ]Innovative Immunological Models Unit, Istituto Nazionale Tumori - IRCCS - “Fond G. Pascale”, ( https://ror.org/0506y2b23) Via Mariano Semmola, 52, Naples, Italy
                [2 ]Department of Health Technology, Section of Experimental and Translational Immunology, Technical University of Denmark, ( https://ror.org/04qtj9h94) Kongens Lyngby, Denmark
                [3 ]Molecular Biology and Viral Oncogenesis Unit, Istituto Nazionale Tumori - IRCCS - “Fond G. Pascale”, ( https://ror.org/0506y2b23) Naples, Italy
                [4 ]Hepatobiliary Surgical Oncology Unit, Istituto Nazionale Tumori - IRCCS - “Fond. G. Pascale”, ( https://ror.org/0506y2b23) Naples, Italy
                [5 ]Thoracic Medical Oncology, Istituto Nazionale Tumori - IRCCS - “Fond G. Pascale”, ( https://ror.org/0506y2b23) Naples, Italy
                Author information
                http://orcid.org/0000-0002-6380-7114
                Article
                3004
                10.1186/s13046-024-03004-z
                10953141
                38509571
                82f7836a-2212-4539-b274-6c7835ef1083
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 September 2023
                : 6 March 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003196, Ministero della Salute;
                Award ID: “Ricerca Corrente” Project L2/3
                Award ID: “Ricerca Corrente” Project L2/13
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003852, Regione Campania;
                Award ID: POR FESR 2014/2020 “Campania OncoTerapie”
                Award Recipient :
                Categories
                Research
                Custom metadata
                © Italian National Cancer Institute ‘Regina Elena’ 2024

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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