Evidence map›Paper›PMID 33077770›Full record

ArticleScientific reports2020

Baseline IFN-γ and IL-10 expression in PBMCs could predict response to PD-1 checkpoint inhibitors in advanced melanoma patients.

Emilio Francesco Giunta, Giusi Barra, Vincenzo De Falco, Giuseppe Argenziano, Stefania Napolitano, Pasquale Vitale, Nicoletta Zanaletti, Marinella Terminiello, Erika Martinelli, Floriana Morgillo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

32 citing papers in PubMed, 35 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

14 authors at 2 institutions in 1 country.

Emilio Francesco GiuntaDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Giusi BarraDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Vincenzo De FalcoDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Giuseppe ArgenzianoDepartment of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Stefania NapolitanoDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Pasquale VitaleDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Nicoletta ZanalettiDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Marinella TerminielloDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Erika MartinelliDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Floriana MorgilloDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Davide CiardielloDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Raffaele De PalmaDepartment of Internal Medicine, University of Genoa, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy.
Fortunato CiardielloDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy.
Teresa TroianiDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80131, Naples, Italy. teresa.troiani@unicampania.it.
University of Campania "Luigi Vanvitelli" · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-PD-1 antibodies revolutionized the treatment of advanced melanoma patients. However, one out of three do not respond to this therapy, with an overall poor prognosis. Identification of predictive biomarkers in patients receiving immune-based therapies is necessary for minimizing risk of toxicity and optimizing patient benefit and is still an important unmet clinical need. Recently, many studies have evaluated peripheral blood markers as potential biomarkers, but none so far have been validated. We collected at baseline peripheral blood samples from 18 consecutive advanced melanoma patients treated with anti-PD-1 therapy. Main pro- and anti-inflammatory cytokines were studied in PBMCs from baseline blood samples both evaluating mRNA expression by qRT-PCR and identifying PBMCs subpopulations by FACS analysis. We found that IFN-γ mRNA expression levels were significantly higher in responder patients compared to non-responder ones. Moreover, to better validate its role, we evaluated the IFN-γ/IL-10 ratio. This value was higher in responder patients. FACS analysis confirmed that CD4 + IFN-γ + PBMCs percentage was higher in responders. Our data suggest an interesting correlation between IFN-γ/IL-10 ratio and response to anti-PD-1 therapy in advanced melanoma patients, suggesting a new biomarker that could be easily incorporated in clinical practice.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalFemaleHumansInterferon-gammaInterleukin-10Leukocytes, MononuclearMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorSkin NeoplasmsAntineoplastic Agents, ImmunologicalInterferon-gammaInterleukin-10Programmed Cell Death 1 Receptor

Identifiers

PMID33077770
PMCPMC7573589
OpenAlexW3092885155

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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.