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

Network medicine based approach for identifying the type 2 diabetes, osteoarthritis and triple negative breast cancer interactome: Finding the hub of hub genes

23 Aug 2024

Abstract excerpt

The increasing prevalence of multi-morbidities, particularly the incidence of breast cancer in diabetic/osteoarthritic patients emphasize on the need for exploring the underlying molecular mechanisms resulting in carcinogenesis. To address this, present study employed a systems biology approach to identify switch genes pivotal to the crosstalk between diseased states resulting in multi-morbid conditions. Hub...

Read the complete abstract on PubMed

Topics

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

Share to Bone Metabolism and Diseases
Share to Inflammatory mediators and NSAID effects
Share to Metabolism, Diabetes, and Cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39281650
DOI: 10.1016/j.heliyon.2024.e36650

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Network medicine based approach for identifying the type 2 diabetes, osteoarthritis and triple negative breast cancer interactome: Finding the hub of hub genesPMID 39281650Read ↗

Bioinformatics and network biology approach to identifying type 2 diabetes genes and pathways that influence the progression of breast cancerSemantic proximity Read ↗

Gene expression profiling and protein-protein network analysis revealed prognostic hub biomarkers linking cancer risk in type 2 diabetic patientsSemantic proximity Read ↗

Multi-omics regulatory networks reveal the key driver genes in the development of type 2 diabetesSemantic proximity Read ↗

<i>In-silico</i> analysis reveals hub genes and enriched pathways in Type 2 Diabetes MellitusSemantic proximity Read ↗

Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysisSemantic proximity Read ↗

Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysisSemantic proximity Read ↗

Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integrationSemantic proximity Read ↗

Deciphering crucial genes in triple negative breast cancer and non-alcoholic fatty liver disease pathogenesis and drug repurposing: A systems biology approachSemantic proximity Read ↗

Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics AnalysisSemantic proximity Read ↗

Analysis of key genes and pathways associated with the pathogenesis of Type 2 diabetes mellitusSemantic proximity Read ↗

Gene regulatory network reveals oxidative stress as the underlying molecular mechanism of type 2 diabetes and hypertensionSemantic proximity Read ↗

Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: A bioinformatics analytic workflowSemantic proximity Read ↗

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