Evidence map›Paper›PMID 39687620›Full record

ArticleFrontiers in immunology2024

Circulating immune landscape in melanoma patients undergoing anti-PD1 therapy reveals key immune features according to clinical response to treatment.

Eleonora Sosa Cuevas, Stéphane Mouret, Guillaume Vayssière, Siham Kerboua, Pauline Girard, Jean-Paul Molens, Marc Manceau, Julie Charles, Philippe Saas, Caroline Aspord

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. A baseline systemic inflammatory signature predicts anti-PD-1 response in advanced melanoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. 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

10 authors.

Eleonora Sosa CuevasInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.
Stéphane MouretDermatology, Allergology & Photobiology Department, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France.
Guillaume VayssièreInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.
Siham KerbouaInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.
Pauline GirardInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.
Jean-Paul MolensInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.
Marc ManceauDepartment of Medicine, Clinical Investigation Center, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France.
Julie CharlesDermatology, Allergology & Photobiology Department, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France.
Philippe SaasInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.
Caroline AspordInstitute for Advanced Biosciences, Team: Epigenetics, Immunity, Metabolism, Cell Signaling & Cancer, Inserm U 1209, CNRS UMR, Université Grenoble Alpes, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immune checkpoint blockers (ICB) bring unprecedented clinical success, yet many patients endure immune mediated adverse effects and/or fail to respond. Predictive signatures of response to ICB and mechanisms of clinical efficacy or failure remain understudied. DC subsets, in network with conventional αβ T (T Methods: We performed an extensive longitudinal monitoring of circulating immune cells from melanoma patients treated with first-line anti-PD1, before (T0) and during treatment. We assessed the phenotypic and functional features of DC and effector cells' subsets by multi-parametric flow cytometry and ProcartaPlex Results: We revealed differences according to response to treatment and modulations of patterns during treatment, highlighting a strong link between the immune landscape and the outcome of anti-PD1 therapy. Responders exhibited higher frequencies of circulating cDC1s, CD8 Discussion: Overall, our work provides new insights into the immunological landscape sustaining favorable clinical responses or resistance to first-line anti-PD1 therapy in melanoma patients. Such exploration participates in uncovering the mechanism of action of anti-PD1, discovering innovative predictive signatures of response, and paves the way to design pertinent combination strategies to improve patient clinical benefits in the future.

Indexed as

Immune Checkpoint InhibitorsMelanomaProgrammed Cell Death 1 ReceptorAdultAgedDendritic CellsFemaleHumansMaleMiddle AgedTreatment OutcomeImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 Receptoranti-PD1 therapyclinical responseimmunomonitoringmelanomaT cells

Identifiers

PMID39687620
PMCPMC11646980

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Registered trials

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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.