Evidence map›Paper›PMID 28724801›Full record

ArticleJCI insight2017

TCR-ligand dissociation rate is a robust and stable biomarker of CD8+ T cell potency.

Mathilde Allard, Barbara Couturaud, Laura Carretero-Iglesia, Minh Ngoc Duong, Julien Schmidt, Gwennaëlle C Monnot, Pedro Romero, Daniel E Speiser, Michael Hebeisen, Nathalie Rufer

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-weighted citation impact, top 10% of its field
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

26 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Development of αβ and γδ T Cells in the Thymus and Methods of Analysis.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Focusing on CD8Journal of experimental & clinical cancer research : CR · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Microfluidic T Cell Selection by Cellular Avidity.Advanced healthcare materials · 2022
    Article
  13. Modelling the interplay between the CD4Journal of mathematical biology · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

Mathilde AllardDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Barbara CouturaudDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Laura Carretero-IglesiaDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Minh Ngoc DuongDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Julien SchmidtLudwig Cancer Research, University of Lausanne, Epalinges, Switzerland.
Gwennaëlle C MonnotLudwig Cancer Research, University of Lausanne, Epalinges, Switzerland.
Pedro RomeroLudwig Cancer Research, University of Lausanne, Epalinges, Switzerland.
Daniel E SpeiserDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Michael HebeisenDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Nathalie RuferDepartment of Oncology, Lausanne University Hospital Center (CHUV) and University of Lausanne, Epalinges, Switzerland.
Ludwig Cancer Research · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite influencing many aspects of T cell biology, the kinetics of T cell receptor (TCR) binding to peptide-major histocompatibility molecules (pMHC) remain infrequently determined in patient monitoring or for adoptive T cell therapy. Using specifically designed reversible fluorescent pMHC multimeric complexes, we performed a comprehensive study of TCR-pMHC off-rates combined with various functional assays on large libraries of self/tumor- and virus-specific CD8+ T cell clones from melanoma patients and healthy donors. We demonstrate that monomeric TCR-pMHC dissociation rates accurately predict the extent of cytotoxicity, cytokine production, polyfunctionality, cell proliferation, activating/inhibitory receptor expression, and in vivo antitumor potency of naturally occurring antigen-specific CD8+ T cells. Our data also confirm the superior binding avidities of virus-specific T cells as compared with self/tumor-specific T cell clonotypes (n > 300). Importantly, the TCR-pMHC off-rate is a more stable and robust biomarker of CD8+ T cell potency than the frequently used functional assays/metrics that depend on the T cell's activation state, and therefore show major intra- and interexperimental variability. Taken together, our data show that the monomeric TCR-pMHC off-rate is highly useful for the ex vivo high-throughput functional assessment of antigen-specific CD8+ T cell responses and a strong candidate as a biomarker of T cell therapeutic efficacy.

Indexed as

ImmunologyTherapeutics

Identifiers

PMID28724801
PMCPMC5518551
OpenAlexW2737422738

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.