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

Comprehensive Analysis of CXCR4, JUNB, and PD-L1 Expression in Circulating Tumor Cells (CTCs) from Prostate Cancer Patients

3 May 2024

Abstract excerpt

CXCR4, JUNB and PD-L1 are implicated in cancer progression and metastasis. The current study investigated these biomarkers in CTCs isolated from metastatic prostate cancer (mPCa) patients at the RNA and protein levels. CTCs were isolated from 48 mPCa patients using the Ficoll density gradient and ISET system (17 out of 48). The (CK/PD-L1/CD45) and (CK/CXCR4/JUNB) phenotypes were identified using two triple...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to Cancer Immunotherapy and Biomarkers
Share to Cancer, Stress, Anesthesia, and Immune Response

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38727318
DOI: 10.3390/cells13090782

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 10 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comprehensive Analysis of CXCR4, JUNB, and PD-L1 Expression in Circulating Tumor Cells (CTCs) from Prostate Cancer PatientsPMID 38727318Read ↗

Precise Detection and Transcriptomic Concordant Analysis of Circulating Tumor Cells from Prostate CancerSemantic proximity Read ↗

Assessing the Potential Prognostic and Immunological Role of TK1 in Prostate CancerSemantic proximity Read ↗

Immune checkpoint-related serum proteins and genetic variants predict outcomes of localized prostate cancer, a cohort study.Semantic proximity Read ↗

Soluble PD-L1 and PD-1 Significantly Improve the Accuracy of a Diagnostic Model of mRNA Transcripts in the Diagnosis of Prostate CancerSemantic proximity Read ↗

Can We Predict Prostate Cancer Metastasis Based on Biomarkers? Where Are We Now?Semantic proximity Read ↗

An 18-Gene Algorithm urine test for predicting prostate cancer metastasis and castration- resistanceSemantic proximity Read ↗

Novel One-Step Nucleic Acid Amplification (OSNA) Application in Prostate Cancer. What Can We Learn from its Usage in Other Cancer Entities? A Systematic ReviewSemantic proximity Read ↗

Survey of Raf Kinase Inhibitor Protein (RKIP) in Multiple Cancer TypesSemantic proximity Read ↗

HA/CD44 Regulates the T Helper 1 Cells Differentiation by Activating Annexin A1/Akt/mTOR Signaling to Drive the Pathogenesis of EAPSemantic proximity Read ↗

Global Gene Expression Characterization of Circulating Tumor Cells in Metastasic Castration-Resistant Prostate Cancer PatientsSemantic proximity Read ↗

SP1 Initiates Epithelial-Mesenchymal Transition of CTCs and Inhibits Metastasis in Prostate CancerSemantic proximity Read ↗

Phenotypic diversity of circulating tumour cells in patients with metastatic castration-resistant prostate cancer.Semantic proximity Read ↗

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