Evidence map›Paper›PMID 35874702›Full record

ArticleFrontiers in immunology2022

Dynamics of Melanoma-Associated Epitope-Specific CD8+ T Cells in the Blood Correlate With Clinical Outcome Under PD-1 Blockade.

Andrea Gaißler, Trine Sundebo Meldgaard, Christina Heeke, Sepideh Babaei, Siri Amanda Tvingsholm, Jonas Bochem, Janine Spreuer, Teresa Amaral, Nikolaus Benjamin Wagner, Reinhild Klein and 8 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

18 authors.

Andrea GaißlerDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Trine Sundebo MeldgaardDepartment of Health Technology, Danmarks Tekniske Universitet (DTU) HEALTH TECH, Copenhagen, Denmark.
Christina HeekeDepartment of Health Technology, Danmarks Tekniske Universitet (DTU) HEALTH TECH, Copenhagen, Denmark.
Sepideh BabaeiInternal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Siri Amanda TvingsholmDepartment of Health Technology, Danmarks Tekniske Universitet (DTU) HEALTH TECH, Copenhagen, Denmark.
Jonas BochemDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Janine SpreuerDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Teresa AmaralDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Nikolaus Benjamin WagnerDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Reinhild KleinInternal Medicine II, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Friedegund MeierSkin Cancer Center at the University Cancer Centre and National Center for Tumor Diseases Dresden, Dresden, Germany.
Claus GarbeDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Thomas K EigentlerDepartment of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Graham PawelecDepartment of Immunology, Interfaculty Institute for Cell Biology, Eberhard Karls University Tübingen, Tübingen, Germany.
Manfred ClaassenInternal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Benjamin WeideDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Sine Reker HadrupDepartment of Health Technology, Danmarks Tekniske Universitet (DTU) HEALTH TECH, Copenhagen, Denmark.
Kilian Wistuba-HamprechtDepartment of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) is standard-of-care for patients with metastatic melanoma. It may re-invigorate T cells recognizing tumors, and several tumor antigens have been identified as potential targets. However, little is known about the dynamics of tumor antigen-specific T cells in the circulation, which might provide valuable information on ICB responses in a minimally invasive manner. Here, we investigated individual signatures composed of up to 167 different melanoma-associated epitope (MAE)-specific CD8+ T cells in the blood of stage IV melanoma patients before and during anti-PD-1 treatment, using a peptide-loaded multimer-based high-throughput approach. Additionally, checkpoint receptor expression patterns on T cell subsets and frequencies of myeloid-derived suppressor cells and regulatory T cells were quantified by flow cytometry. Regression analysis using the MAE-specific CD8+ T cell populations was applied to identify those that correlated with overall survival (OS). The abundance of MAE-specific CD8+ T cell populations, as well as their dynamics under therapy, varied between patients. Those with a dominant increase of these T cell populations during PD-1 ICB had a longer OS and progression-free survival than those with decreasing or balanced signatures. Patients with a dominantly increased MAE-specific CD8+ T cell signature also exhibited an increase in TIM-3+ and LAG-3+ T cells. From these results, we created a model predicting improved/reduced OS by combining data on dynamics of the three most informative MAE-specific CD8+ T cell populations. Our results provide insights into the dynamics of circulating MAE-specific CD8+ T cell populations during ICB, and should contribute to a better understanding of biomarkers of response and anti-cancer mechanisms.

Indexed as

MelanomaProgrammed Cell Death 1 ReceptorAntigens, NeoplasmCD8-Positive T-LymphocytesEpitopesHumansT-Lymphocyte SubsetsAntigens, NeoplasmEpitopesProgrammed Cell Death 1 Receptorcheckpoint blockadedextramermelanomamelanoma-associated antigenregression analysisT cells

Identifiers

PMID35874702
PMCPMC9300827

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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.