Evidence map›Paper›PMID 40226614›Full record

ArticleFrontiers in immunology2025

Transcriptomic signatures in peripheral CD4

Eleni Palli, Matthieu Lavigne, Panagiotis Verginis, Themis Alissafi, Amalia Anastasopoulou, Georgios Lyrarakis, John M Kirkwood, Helen Gogas, Dimitrios C Ziogas

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. CD97/Cells · 2026
    Review
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

9 authors.

Eleni Palli *First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens - School of Medicine, Athens, Greece.
Matthieu Lavigne *Institute of Molecular Biology and Biotechnology of the Foundation for Research and Technology - Biology Department, University of Crete, School of Medicine, Heraklion, Greece.
Panagiotis VerginisInstitute of Molecular Biology and Biotechnology of the Foundation for Research and Technology - Biology Department, University of Crete, School of Medicine, Heraklion, Greece.
Themis AlissafiLaboratory of Biology, National and Kapodistrian University of Athens - School of Medicine, Athens, Greece.
Amalia AnastasopoulouFirst Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens - School of Medicine, Athens, Greece.
Georgios LyrarakisFirst Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens - School of Medicine, Athens, Greece.
John M KirkwoodDivision of Hematology/Oncology, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States.
Helen Gogas *First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens - School of Medicine, Athens, Greece.
Dimitrios C Ziogas *First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens - School of Medicine, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Promoting adaptive immunity with ICIs has drastically improved melanoma prognosis, but not for all patients. Some cases relapse in the first few months, while others keep durable benefit, even after immunotherapy discontinuation. To identify cellular/molecular signatures in peripheral blood that could differentiate advanced from metastatic melanoma and predict dynamics for primary/secondary immune escape, we examined 100 consecutive patients with stage III/IV melanoma scheduled to start ICIs. Materials and methods: At melanoma diagnosis, a multiparameter flow cytometric analysis and purification scheme using standard conjugated antibodies were performed for all individuals prior to ICI initiation. In each stage(III/IV) according to their RFS/PFS, we retrospectively selected the cases with the clearest clinical outcomes and focused our analysis on the extreme responders(n=7) and non-responders(n=7) to characterize the transcriptomes of circulating CD4 Results: Although circulating immune-cells did not numerically differ in both sets of analysis(staging and ICI responsiveness), DEA and GO data showed that patients could be clustered separately, identifying 189vs.92 DEGs in stage IV/III and 101vs.47 DEGs in early progressors/long responders. These DEGs were functionally implicated in distinct pathways. For metastatic cases: inflammatory response(logp-value=-9.2:ADGRE5/2,CYBA,GRN,HMOX1,IRF5,ITGAM), adaptive immunity(logp-value=-7.7:CD1C,CD74,CYBB,NCF2,CTSA,S100A8/9,BCL3,FCER1G), T-cell activation(logp-value=-6.3:BCL3,CD1C,CD74,FCER1G,FGL2)and lipid metabolism/catabolism(logp-value=-2.5/-2.6:ARF3,GPX1,MVD,OCRL,PCCB,CTSA,PNPLA2,NAGLU,GBA2,ABHD4); while in early-progressors to ICIs: immune effector processing(logp-value=-13.7:BCL6,FGR,HLA-DQA1/DQB1,HLA-DRA,HLA-DRB1/DRB5,NKG7,SLC11A1,TYROBP,SPON2,HAVCR2),PD-1(logp-value=-10.2:HLA-DQA1/DQB1,HLA-DRA,HLA-DRB1/DRB5)and IFN signaling(logp-value=-8.5: HLA-DQA1/DQB1,HLA-DRA,HLA-DRB1/DRB5,NCAM1,IFITM3),positive regulation of T-cell activation(logp-value=-7.7:BCL6,HLA-DQA1/DQB1,HLA-DRA,HLA-DRB1/DRB5,SASH3,HAVCR2)and CD28 co-stimulation(logp-value=-10.3:HLA-DQA1/DQB1,HLA-DRA,HLA-DRB1/DRB5), supporting an immune-mediated behavior. Conclusions: Specific pathways and marker genes in the peripheral CD4

Indexed as

CD4-Positive T-LymphocytesImmune Checkpoint InhibitorsMelanomaSkin NeoplasmsTranscriptomeAdultAgedFemaleGene Expression ProfilingHumansImmunotherapyMaleMiddle AgedNeoplasm StagingRetrospective StudiesImmune Checkpoint Inhibitorsbulk RNA-seqCD4+T-cellsdifferentially expressed genesimmune checkpoint inhibitorsimmunotherapyresistance

Identifiers

PMID40226614
PMCPMC11986426

What Socratic holds

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LicenceCC BY
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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.