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

DLGAP5 Regulates the Proliferation, Migration, Invasion, and Cell Cycle of Breast Cancer Cells via the JAK2/STAT3 Signaling Axis

31 Oct 2023

Abstract excerpt

The aim of this study was to discover new biomarkers to detect breast cancer (BC), which is an aggressive cancer with a high mortality rate. In this study, bioinformatic analyses (differential analysis, weighted gene co-expression network analysis, and machine learning) were performed to identify potential candidate genes for BC to study their molecular mechanisms. Furthermore, Quantitative Real-time PCR and...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to MicroRNA in disease regulation
Share to RNA modifications and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37958803
DOI: 10.3390/ijms242115819

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

DLGAP5 Regulates the Proliferation, Migration, Invasion, and Cell Cycle of Breast Cancer Cells via the JAK2/STAT3 Signaling AxisPMID 37958803Read ↗

KDM5 family as therapeutic targets in breast cancer: Pathogenesis and therapeutic opportunities and challengesSemantic proximity Read ↗

NEAT1/MALAT1/XIST/PKD--Hsa-Mir-101-3p--DLGAP5 Axis as a Novel Diagnostic and Prognostic Biomarker Associated With Immune Cell Infiltration in Bladder CancerSemantic proximity Read ↗

Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validationSemantic proximity Read ↗

Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.Semantic proximity Read ↗

Performing Data Mining to Explain the Correlation between the BIRC5 Gene and Prognosis in Breast Cancer PatientsSemantic proximity Read ↗

Mechanistic and Clinical Evidence Supports a Key Role for Cell Division Cycle Associated 5 (CDCA5) as an Independent Predictor of Outcome in Invasive Breast CancerSemantic proximity Read ↗

FBLN5 Is an Underlying Common Tumor Suppressor in Breast Cancer and Thyroid CancerSemantic proximity Read ↗

Nomogram Models Based on Gene Expression in Prediction of Breast Cancer Bone MetastasisSemantic proximity Read ↗

Bioinformatics Analysis Highlight Differentially Expressed CCNB1 and PLK1 Genes as Potential Anti-Breast Cancer Drug Targets and Prognostic MarkersSemantic proximity Read ↗

HDHD5 promotes triple-negative breast cancer growth and drives EMT-associated phenotypes via regulating S100A4.Semantic proximity Read ↗

Screening and verification of potential gene targets in the metastasis of breast cancer by bioinformatics analysis and immunohistochemistrySemantic proximity Read ↗

Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysisSemantic proximity Read ↗

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