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

CD3E as a new predictive biomarker of response to omalizumab treatment in asthma patients: Evidence from bioinformatic analysis.

International immunopharmacology - 1 Apr 2021

Zhang Qing, Li Hongwen, Gao Shengnan, Wang Jingru, Li Chunxiao, Shu Jun, Lin Jiangtao

Abstract excerpt

BACKGROUND AND OBJECTIVE: Omalizumab is a bio-targeted agent approved as add-on therapy for the treatment of severe asthma. Most patients with severe asthma show no response to omalizumab. American Thoracic Society (ATS) and European Respiratory Society (ERS) recommend blood eosinophil count and fractional exhaled nitric oxide (FeNO) as biomarkers with high value for increased response to omalizumab and periostin...

Read the complete abstract on PubMed

Topics

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

Share to Anti-Asthmatic Agents
Share to Asthma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomarkers, Pharmacological

Share to CD3 Complex

Share to Nitric Oxide

Share to Predictive Value of Tests

Share to ROC Curve

Share to T-Lymphocytes

Source

Identifiers

PMID: 33578181
DOI: 10.1016/j.intimp.2021.107423

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

CD3E as a new predictive biomarker of response to omalizumab treatment in asthma patients: Evidence from bioinformatic analysis.PMID 33578181Read ↗

A robust mRNA signature obtained via Recursive Ensemble Feature Selection predicts the responsiveness of omalizumab in moderate-to-severe asthmaSemantic proximity Read ↗

Significance of Immune-related Genes in the Diagnosis and Subtype Classification of Childhood AsthmaSemantic proximity Read ↗

Analysis of infiltrating immune cells and identification of related biomarkers in patients with refractory asthmaSemantic proximity Read ↗

Bioinformatic analysis reveals the molecular mechanisms of Trefoil factor 3 involved in asthma pathogenesisSemantic proximity Read ↗

Identification of Biomarkers and Pathogenesis in Severe Asthma by Co-expression Network AnalysisSemantic proximity Read ↗

Identification of key modules and hub genes for eosinophilic asthma by weighted gene co-expression network analysis.Semantic proximity Read ↗

Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma.Semantic proximity Read ↗

Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNASemantic proximity Read ↗

Identification of biomarkers and pathogenesis in severe asthma by coexpression network analysisSemantic proximity Read ↗

Identification of cuproptosis-related asthma diagnostic genes by WGCNA analysis and machine learningSemantic proximity Read ↗

Identification of gene biomarkers with expression profiles in patients with allergic rhinitisSemantic proximity Read ↗

Single cell RNA-seq discovery of blood biomarkers predicting treatment outcome in severe asthma patientsSemantic proximity Read ↗

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