Evidence map›Paper›PMID 34786191›Full record

ArticleClinical & translational immunology2021

Dysfunctional BTN3A together with deregulated immune checkpoints and type I/II IFN dictate defective interplay between pDCs and γδ T cells in melanoma patients, which impacts clinical outcomes.

Pauline Girard, Eleonora Sosa Cuevas, Benedicte Ponsard, Stephane Mouret, Hugo Gil, Edwige Col, Florence De Fraipont, Nathalie Sturm, Julie Charles, Olivier Manches and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Pauline GirardInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.
Eleonora Sosa CuevasInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.ORCID https://orcid.org/0000-0002-2093-9707
Benedicte PonsardInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.
Stephane MouretDermatology Clinic Grenoble University Hospital Grenoble France.
Hugo GilPathology Department Institut de Biologie et Pathologie CHU Grenoble Alpes Grenoble France.
Edwige ColPathology Department Institut de Biologie et Pathologie CHU Grenoble Alpes Grenoble France.
Florence De FraipontMedical Unit of Molecular Genetic (Hereditary Diseases and Oncology) Grenoble University Hospital Grenoble France.
Nathalie SturmPathology Department Institut de Biologie et Pathologie CHU Grenoble Alpes Grenoble France.
Julie CharlesInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.
Olivier ManchesInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.
Laurence ChaperotInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.
Caroline AspordInstitute for Advanced Biosciences, Immunobiology and Immunotherapy in Chronic Diseases Inserm U 1209 CNRS UMR 5309 Université Grenoble Alpes Grenoble France.ORCID https://orcid.org/0000-0002-4979-7044
Centre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire de Grenoble · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivespDCs and γδ T cells emerge as potent immune players participating in the pathophysiology of cancers, yet still remaining enigmatic while harbouring a promising potential for clinical translations. Despite strategic and closed missions, crosstalk between pDCs and γδ T cells has not been deciphered yet in cancers, especially in melanoma where the long-term control of the tumor still remains a challenge.

methodsThis prompted us to explore the interplay between pDCs and γδ T cells in the context of melanoma, investigating the reciprocal features of pDCs or γδ T cells, the underlying molecular mechanisms and its impact on clinical outcomes.

resultsTLRL-activated pDCs from the blood and tumor infiltrate of melanoma patients displayed an impaired ability to activate, to modulate immune checkpoints and trigger the functionality of γδ T cells. Conversely, γδ T cells from the blood or tumor infiltrate of melanoma patients activated by PAg were defective in triggering pDCs' activation and modulation of immune checkpoints, and failed to elicit the functionality of pDCs. Reversion of the dysfunctional cross-talks could be achieved by specific cytokine administration and immune checkpoint targeting. Strikingly, we revealed an increased expression of BTN3A on circulating and tumor-infiltrating pDCs and γδ T cells from melanoma patients, but stressed out the potential impairment of this molecule.

conclusionOur study uncovered that melanoma hijacked the bidirectional interplay between pDCs and γδ T cells to escape from immune control, and revealed BTN3A dysfunction. Such understanding will help harness and synergise the power of these potent immune cells to design new therapeutic approaches exploiting their antitumor potential while counteracting their skewing by tumors to improve patient outcomes.

Indexed as

BTN3Aimmune subversionmelanomapDCsγδ T cells

Identifiers

PMID34786191
PMCPMC8577077
OpenAlexW3213529109

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.