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

Highly expressed genes in multiple myeloma cells – what can they tell us about the disease?

11 Mar 2022

Abstract excerpt

Cancer cells can convert proto-oncoproteins into oncoproteins by increasing the expression of genes that are oncogenic when expressed at high levels. Such genes can promote oncogenesis without being mutated. To find overexpressed genes in cancer cells from patients with multiple myeloma, we retrieved mRNA expression data from the CoMMpass database and ranked genes by their expression levels. We grouped the most...

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: 35276027
DOI: 10.1111/ejh.13766

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Highly expressed genes in multiple myeloma cells – what can they tell us about the disease?PMID 35276027Read ↗

Gene Expression Profiles in Myeloma: Ready for the Real World?Semantic proximity Read ↗

Expressed fusion gene landscape and its impact in multiple myelomaSemantic proximity Read ↗

Genome-Wide Identification of Potential Biomarkers in Multiple Myeloma Using Meta-Analysis of mRNA and miRNA Expression DataSemantic proximity Read ↗

Identification of four potential predicting miRNA biomarkers for multiple myeloma from published datasetsSemantic proximity Read ↗

Transcriptome analysis of the lncRNAs and their mRNA networks associated with multiple myelomaSemantic proximity Read ↗

A gene expression signature based on cell-death related gene expression in multiple myelomaSemantic proximity Read ↗

Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patientsSemantic proximity Read ↗

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

Gene Expression Profiling in Multiple Myeloma: Redefining the Paradigm of Risk-Adapted TreatmentSemantic proximity Read ↗

Identification of candidate therapeutics and signaling pathways for multiple myelomaSemantic proximity Read ↗

Interpreting the molecular biology and clinical behavior of multiple myeloma in the context of global gene expression profilingSemantic proximity Read ↗

The Tao of myeloma.Semantic proximity Read ↗

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