Evidence map›Paper›PMID 36220826›Full record

ArticleNature communications2022

Evolution and modulation of antigen-specific T cell responses in melanoma patients.

Jani Huuhtanen, Liang Chen, Emmi Jokinen, Henna Kasanen, Tapio Lönnberg, Anna Kreutzman, Katriina Peltola, Micaela Hernberg, Chunlin Wang, Cassian Yee and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  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

13 authors at 7 institutions in 3 countries.

Jani HuuhtanenTranslational Immunology Research Program, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2750-4033
Liang ChenDepartment of Immunology and Microbiology, Stanford University, Stanford, CA, USA.
Emmi JokinenDepartment of Computer Science, Aalto University, Espoo, Finland.
Henna KasanenTranslational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Tapio LönnbergTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-4484-5657
Anna KreutzmanTranslational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Katriina PeltolaiCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.
Micaela HernbergDepartment of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.
Chunlin WangDepartment of Immunology and Microbiology, Stanford University, Stanford, CA, USA.
Cassian YeeDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-4429-7307
Harri LähdesmäkiDepartment of Computer Science, Aalto University, Espoo, Finland.
Mark M DavisDepartment of Immunology and Microbiology, Stanford University, Stanford, CA, USA. mmdavis@stanford.edu.ORCID 0000-0001-6868-657X
Satu MustjokiTranslational Immunology Research Program, University of Helsinki, Helsinki, Finland. satu.mustjoki@helsinki.fi.ORCID 0000-0002-0816-8241
University of Helsinki · FIAalto University · FIHelsinki University Hospital · FIStanford University · USÅbo Akademi University · FIHoward Hughes Medical Institute · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Analyzing antigen-specific T cell responses at scale has been challenging. Here, we analyze three types of T cell receptor (TCR) repertoire data (antigen-specific TCRs, TCR-repertoire, and single-cell RNA + TCRαβ-sequencing data) from 515 patients with primary or metastatic melanoma and compare it to 783 healthy controls. Although melanoma-associated antigen (MAA) -specific TCRs are restricted to individuals, they share sequence similarities that allow us to build classifiers for predicting anti-MAA T cells. The frequency of anti-MAA T cells distinguishes melanoma patients from healthy and predicts metastatic recurrence from primary melanoma. Anti-MAA T cells have stem-like properties and frequent interactions with regulatory T cells and tumor cells via Galectin9-TIM3 and PVR-TIGIT -axes, respectively. In the responding patients, the number of expanded anti-MAA clones are higher after the anti-PD1(+anti-CTLA4) therapy and the exhaustion phenotype is rescued. Our systems immunology approach paves the way for understanding antigen-specific responses in human disorders.

Indexed as

Hepatitis A Virus Cellular Receptor 2MelanomaHumansReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaRNAHepatitis A Virus Cellular Receptor 2Receptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaRNA

Identifiers

PMID36220826
PMCPMC9553985
OpenAlexW4304165954

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.