Evidence map›Paper›PMID 36350695›Full record

ArticleeLife2022

T cell receptor convergence is an indicator of antigen-specific T cell response in cancer immunotherapies.

Mingyao Pan, Bo Li

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Paradoxical Tumor Antigen Specific Response in the Liver.bioRxiv : the preprint server for biology · 2024
    Article
  17. CD4Science immunology · 2024
    Article
  18. Review
  19. Article
  20. Article
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

2 authors at 1 institution in 1 country.

Mingyao PanLyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0003-2912-9599
Bo LiLyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, United States.ORCID 0000-0002-8617-900X
The University of Texas Southwestern Medical Center · US

Funding

Tracking Peripheral T-Cell Repertoire Changes for Preoperative and Early Ovarian Cancer DiagnosisR01CA258524 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Jayanthi S Lea, Bo Li · 2022 to 2026
$3.8M
Antigen-independent prediction and biomarker identification of cancer-specific T cellsR01CA245318 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI LI, BO · 2020 to 2024
$1.9M
NCI NIH HHS R01 CA245318NCI NIH HHS R01 CA258524
6 · The paper itself

Abstract

T cells are potent at eliminating pathogens and playing a crucial role in the adaptive immune response. T cell receptor (TCR) convergence describes T cells that share identical TCRs with the same amino acid sequences but have different DNA sequences due to codon degeneracy. We conducted a systematic investigation of TCR convergence using single-cell immune profiling and bulk TCRβ-sequence (TCR-seq) data obtained from both mouse and human samples and uncovered a strong link between antigen-specificity and convergence. This association was stronger than T cell expansion, a putative indicator of antigen-specific T cells. By using flow-sorted tetramer

Indexed as

NeoplasmsT-LymphocytesAmino Acid SequenceAnimalsHumansImmunotherapyMiceReceptors, Antigen, T-CellReceptors, Antigen, T-Cellcomputational biologyhumanimmunologyimmunotherapy prognosisinflammationmousesystems biologyTCR convergenceTCR repertoire

Identifiers

PMID36350695
PMCPMC9683788
OpenAlexW4308633772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.