Evidence map›Paper›PMID 31480495›Full record

ArticleBrain sciences2019

Prediction of PD-L1 Expression in Neuroblastoma via Computational Modeling.

Salvo Danilo Lombardo, Mario Presti, Katia Mangano, Maria Cristina Petralia, Maria Sofia Basile, Massimo Libra, Saverio Candido, Paolo Fagone, Emanuela Mazzon, Ferdinando Nicoletti and 1 more

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

11 authors at 2 institutions in 1 country.

Salvo Danilo LombardoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Mario PrestiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Katia ManganoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Maria Cristina PetraliaIRCCS (Istituti di Ricovero e Cura a Carattere Scientifico) Centro Neurolesi Bonino Pulejo, C.da Casazza, 98124- Messina, Italy.
Maria Sofia BasileDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Massimo LibraDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Saverio CandidoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Paolo FagoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy. paolofagone@yahoo.it.
Emanuela MazzonIRCCS (Istituti di Ricovero e Cura a Carattere Scientifico) Centro Neurolesi Bonino Pulejo, C.da Casazza, 98124- Messina, Italy.
Ferdinando NicolettiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123- Catania, Italy.
Alessia BramantiIRCCS (Istituti di Ricovero e Cura a Carattere Scientifico) Centro Neurolesi Bonino Pulejo, C.da Casazza, 98124- Messina, Italy.
University of Catania · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

IRCCS "Centro Neurolesi Bonino Pulejo" current research funds 2019
6 · The paper itself

Abstract

Immunotherapy is a promising new therapeutic approach for neuroblastoma (NBM): an anti-GD2 vaccine combined with orally administered soluble beta-glucan is undergoing a phase II clinical trial and nivolumab and ipilimumab are being tested in recurrent and refractory tumors. Unfortunately, predictive biomarkers of response to immunotherapy are currently not available for NBM patients. The aim of this study was to create a computational network model simulating the different intracellular pathways involved in NBM, in order to predict how the tumor phenotype may be influenced to increase the sensitivity to anti-programmed cell death-ligand-1 (PD-L1)/programmed cell death-1 (PD-1) immunotherapy. The model runs on COPASI software. In order to determine the influence of intracellular signaling pathways on the expression of PD-L1 in NBM, we first developed an integrated network of protein kinase cascades. Michaelis-Menten kinetics were associated to each reaction in order to tailor the different enzymes kinetics, creating a system of ordinary differential equations (ODEs). The data of this study offers a first tool to be considered in the therapeutic management of the NBM patient undergoing immunotherapeutic treatment.

Indexed as

computational modellingCOPASIimmunotherapyneuroblastomaPD-L1

Identifiers

PMID31480495
PMCPMC6770763
OpenAlexW2970240468

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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.