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

Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma

13 Dec 2019

Abstract excerpt

Background: Multiple myeloma (MM) is the second most common hematologic malignancy worldwide and does not have sufficient prognostic indicators. FCER1G (Fc fragment Of IgE receptor Ig) is located on chromosome 1q23.3 and is involved in the innate immunity. Early studies have shown that FCER1G participates in many immune-related pathways encompassing multiple cell types. Meanwhile, it is associated with many...

Read the complete abstract on PubMed

Topics

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

Share to Multiple Myeloma Research and Treatments
Share to Peptidase Inhibition and Analysis
Share to Ubiquitin and proteasome pathways

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31956364
DOI: 10.7150/jca.37313

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

Enhanced expression of FCER1G predicts positive prognosis in multiple myelomaPMID 31956364Read ↗

Fc Fragment of IgE Receptor Ig ( FCER1G ) acts as a key gene involved in cancer immune infiltration and tumour microenvironmentSemantic proximity Read ↗

Prognostic and Immunological Role of FCER1G in multiple cancersSemantic proximity Read ↗

Beyond the marrow: insights from comprehensive next-generation sequencing of extramedullary multiple myeloma tumors.Semantic proximity Read ↗

Role of 1q21 in Multiple Myeloma: From Pathogenesis to Possible Therapeutic TargetsSemantic proximity Read ↗

Identification of key candidate genes and pathways in multiple myeloma by integrated bioinformatics analysisSemantic proximity Read ↗

Genotype-immunophenotype analysis reveals the immunogenomic subtype and prognosis of multiple myeloma.Semantic proximity Read ↗

Molecular profiling of immunoglobulin heavy-chain gene rearrangements unveils new potential prognostic markers for multiple myeloma patientsSemantic proximity Read ↗

Features of extramedullary disease of multiple myeloma: high frequency of p53 deletion and poor survival: a retrospective single-center study of 834 cases.Semantic proximity Read ↗

Identification of a novel lactylation-related gene signature predicts the prognosis of multiple myeloma and experiment verificationSemantic proximity Read ↗

Applications of Multiparameter Flow Cytometry in the Diagnosis, Prognosis and Monitoring of Multiple Myeloma PatientsSemantic proximity Read ↗

IgE type multiple myeloma exhibits hypermutated phenotype and tumor reactive T cells.Semantic proximity Read ↗

Dual Negativity of CD56 and CD117 Links to Unfavorable Cytogenetic Abnormalities and Predicts Poor Prognosis in Multiple MyelomaSemantic proximity Read ↗

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