Evidence map›Paper›PMID 29046675›Full record

ArticleFrontiers in immunology2017

Interpreting T-Cell Cross-reactivity through Structure: Implications for TCR-Based Cancer Immunotherapy.

Dinler A Antunes, Maurício M Rigo, Martiela V Freitas, Marcus F A Mendes, Marialva Sinigaglia, Gregory Lizée, Lydia E Kavraki, Liisa K Selin, Markus Cornberg, Gustavo F Vieira

Abstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed.

  1. Review
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  7. Strengths and limitations of web servers for the modeling of TCRpMHC complexes.Computational and structural biotechnology journal · 2024
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  16. Structural and physical features that distinguish tumor-controlling from inactive cancer neoepitopes.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dinler A AntunesNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Maurício M RigoNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Martiela V FreitasNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Marcus F A MendesNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Marialva SinigagliaNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Gregory LizéeLizée Lab, Department of Melanoma Medical Oncology - Research, The University of Texas M. D. Anderson Cancer Center, Houston, TX, United States.
Lydia E KavrakiKavraki Lab, Department of Computer Science, Rice University, Houston, TX, United States.
Liisa K SelinSelin Lab, Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States.
Markus CornbergCornberg Lab, Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany.
Gustavo F VieiraNúcleo de Bioinformática do Laboratório de Imunogenética (NBLI), Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Funding

T cell and transgenic core U19AI109858 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HUSEBY, ERIC S · 2014 to 2018
$11.9M
NIAID NIH HHS U19 AI109858
6 · The paper itself

Abstract

Immunotherapy has become one of the most promising avenues for cancer treatment, making use of the patient's own immune system to eliminate cancer cells. Clinical trials with T-cell-based immunotherapies have shown dramatic tumor regressions, being effective in multiple cancer types and for many different patients. Unfortunately, this progress was tempered by reports of serious (even fatal) side effects. Such therapies rely on the use of cytotoxic T-cell lymphocytes, an essential part of the adaptive immune system. Cytotoxic T-cells are regularly involved in surveillance and are capable of both eliminating diseased cells and generating protective immunological memory. The specificity of a given T-cell is determined through the structural interaction between the T-cell receptor (TCR) and a peptide-loaded major histocompatibility complex (MHC); i.e., an intracellular peptide-ligand displayed at the cell surface by an MHC molecule. However, a given TCR can recognize different peptide-MHC (pMHC) complexes, which can sometimes trigger an unwanted response that is referred to as T-cell cross-reactivity. This has become a major safety issue in TCR-based immunotherapies, following reports of melanoma-specific T-cells causing cytotoxic damage to healthy tissues (e.g., heart and nervous system). T-cell cross-reactivity has been extensively studied in the context of viral immunology and tissue transplantation. Growing evidence suggests that it is largely driven by structural similarities of seemingly unrelated pMHC complexes. Here, we review recent reports about the existence of pMHC "hot-spots" for cross-reactivity and propose the existence of a TCR interaction profile (i.e., a refinement of a more general TCR footprint in which some amino acid residues are more important than others in triggering T-cell cross-reactivity). We also make use of available structural data and pMHC models to interpret previously reported cross-reactivity patterns among virus-derived peptides. Our study provides further evidence that structural analyses of pMHC complexes can be used to assess the intrinsic likelihood of cross-reactivity among peptide-targets. Furthermore, we hypothesize that some apparent inconsistencies in reported cross-reactivities, such as a preferential directionality, might also be driven by particular structural features of the targeted pMHC complex. Finally, we explain why TCR-based immunotherapy provides a special context in which meaningful T-cell cross-reactivity predictions can be made.

Indexed as

cancer immunotherapycross-reactivity hot-spotshierarchical clusteringpeptide–MHC complexT-cell cross-reactivityTCR-interacting surfaceTCR/pMHC

Identifiers

PMID29046675
PMCPMC5632759

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.