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

A Novel Quantitative Multiplex Tissue Immunoblotting for Biomarkers Predicts a Prostate Cancer Aggressive Phenotype.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology - 1 Dec 2015

Zhu Guangjing, Liu Zhi, Epstein Jonathan I, Davis Christine, Christudass Christhunesa S, Carter H Ballentine, Landis Patricia, Zhang Hui, Chung Joon-Yong, Hewitt Stephen M, Miller M Craig, Veltri Robert W

Abstract excerpt

BACKGROUND: Early prediction of disease progression in men with very low-risk (VLR) prostate cancer who selected active surveillance (AS) rather than immediate treatment could reduce morbidity associated with overtreatment. METHODS: We evaluated the association of six biomarkers [Periostin, (-5, -7) proPSA, CACNA1D, HER2/neu, EZH2, and Ki-67] with different Gleason scores and biochemical recurrence (BCR) on...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers, Tumor
Share to Disease Progression

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to BCR gene

Share to IMPACT gene

Share to Immunoblotting

Share to Phenotype

Share to Prostatic Neoplasms

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 26404961
DOI: 10.1158/1055-9965.EPI-15-0496
PMCID: PMC4755280

Genes

BCR
IMPACT

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Novel Quantitative Multiplex Tissue Immunoblotting for Biomarkers Predicts a Prostate Cancer Aggressive Phenotype.PMID 26404961Read ↗

Identification of Biomarkers and Trajectories of Prostate Cancer Progression: A Bioinformatics Fusion of Weighted Correlation Network Analysis and Machine LearningSemantic proximity Read ↗

Genomic analysis in active surveillance: predicting high-risk disease using tissue biomarkers.Semantic proximity Read ↗

Identification of Prognostic Biomarkers for Prostate CancerSemantic proximity Read ↗

Assessment of biochemical recurrence of prostate cancer (Review)Semantic proximity Read ↗

Proteomic-based stratification of intermediate-risk prostate cancer patientsSemantic proximity Read ↗

A novel prostate cancer subtyping classifier based on luminal and basal phenotypes.Semantic proximity Read ↗

Identifying patients with rapid progression from hormone-sensitive to castration-resistant prostate cancer: a retrospective studySemantic proximity Read ↗

AI-Powered cellular morphometric biomarkers discovered in needle biopsy of prostatic cancer predict neoadjuvant androgen deprivation therapy response and prognosis: an international multicenter retrospective studySemantic proximity Read ↗

Tissue Phenomics for prognostic biomarker discovery in low- and intermediate-risk prostate cancerSemantic proximity Read ↗

Radiogenomic profiling of prostate tumors prior to external beam radiotherapy converges on a transcriptomic signature of TGF-β activity driving tumor recurrenceSemantic proximity Read ↗

Biomarkers in Localized Prostate Cancer: Towards a Personalized MedicineSemantic proximity Read ↗

Redefining Prostate Cancer Precision: Radiogenomics, Theragnostics, and AI- Driven BiomarkersSemantic proximity Read ↗

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