Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Prediction of PD-L1 Expression in Neuroblastoma via Computational Modeling

31 Aug 2019

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer, Hypoxia, and Metabolism
Share to Lung Cancer Research Studies
Share to Neuroblastoma Research and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31480495
DOI: 10.3390/brainsci9090221

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prediction of PD-L1 Expression in Neuroblastoma via Computational ModelingPMID 31480495Read ↗

Models of cell signaling uncover molecular mechanisms of high-risk neuroblastoma and predict disease outcomeSemantic proximity Read ↗

[Construction of a prognosis forecasting model for immuno-therapy response in cancer patients by integrating routine clinical parameters and tumor mutational burden].Semantic proximity Read ↗

Integrated Experimental and In-Silico Analysis Reveals Melittin as a Modulator of IL-37a-Associated Networks in NeuroblastomaSemantic proximity Read ↗

Predicting Melanoma Immunotherapy Efficacy: Neural Network Models with Gene Expression and Clinical DataSemantic proximity Read ↗

Dose Regimen Optimization of PD-L1 Inhibitor and Nab-paclitaxel in Patients with NSCLC: a Quantitative Systems Pharmacology analysisSemantic proximity Read ↗

Modeling Signaling Networks to Advance New Cancer Therapies.Semantic proximity Read ↗

Predicting PD-L1 expression on human cancer cells using next-generation sequencing information in computational simulation modelsSemantic proximity Read ↗

Descriptive and prognostic value of a computational model of metastasis in high-risk neuroblastomaSemantic proximity Read ↗

Neuroblastoma signalling models unveil combination therapies targeting feedback-mediated resistanceSemantic proximity Read ↗

Main checkpoints of the JNK-MAPK pathway using the Boolean network simulation following HTLV-1-associated leukemiaSemantic proximity Read ↗

Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.Semantic proximity Read ↗

Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patientsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.