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

Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer.

British journal of cancer - 24 Mar 2009

Loddo M, Kingsbury S R, Rashid M, Proctor I, Holt C, Young J, El-Sheikh S, Falzon M, Eward K L, Prevost T, Sainsbury R, Stoeber K, Williams G H

Abstract excerpt

Multiparameter analysis of core regulatory proteins involved in G1-S and G2-M cell-cycle transitions provides a powerful biomarker readout for assessment of the cell-cycle state. We have applied this algorithm to breast cancer to investigate how the cell cycle impacts on disease progression. Protein expression profiles of key constituents of the DNA replication licensing pathway (Mcm2, geminin) and mitotic...

Read the complete abstract on PubMed

Topics

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

Share to Aurora Kinases
Share to Cell Cycle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cell Differentiation

Share to DNA, Neoplasm

Share to Genomic Instability

Share to Ki-67 Antigen

Share to Ploidies

Share to Protein Serine-Threonine Kinases

Source

Open in PubMed Open full text

Identifiers

PMID: 19240714
DOI: 10.1038/sj.bjc.6604924
PMCID: PMC2661794

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

Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer.PMID 19240714Read ↗

DNA Replication Licensing Factors and Aurora Kinases are Linked to Aneuploidy and Clinical Outcome in Epithelial Ovarian CarcinomaSemantic proximity Read ↗

DNA replication licensing and cell cycle kinetics of normal and neoplastic breast.Semantic proximity Read ↗

The cell cycle and cancerSemantic proximity Read ↗

Pan-Cancer Multi-Omics Analysis of Minichromosome Maintenance Proteins (MCMs) Expression in Human CancersSemantic proximity Read ↗

Overexpression of Proteins Involved in Mitotic Progression Underlies High Proliferation and Chromosomal Instability in Androgen Receptor-Low Triple-Negative Breast CancerSemantic proximity Read ↗

CDK/cyclin dependencies define extreme cancer cell-cycle heterogeneity and collateral vulnerabilitiesSemantic proximity Read ↗

Establishment of<i>in silico</i>prediction of adjuvant chemotherapy response from active mitotic gene signature in non-small cell lung cancerSemantic proximity Read ↗

Single-cell and bulk RNA sequencing analysis reveals CENPA as a potential biomarker and therapeutic target in cancersSemantic proximity Read ↗

A pan-cancer analysis of the frequency of DNA alterations across cell cycle activity levelsSemantic proximity Read ↗

DNA Replication Licensing Factors and Aneuploidy Are Linked to Tumor Cell Cycle State and Clinical Outcome in Penile CarcinomaSemantic proximity Read ↗

Reclassifying Cancer: Defining tumour cell cycle activity in terms of its tissue of origin in over 13,000 samplesSemantic proximity Read ↗

MCM proteins as diagnostic and prognostic tumor markers in the clinical setting.Semantic proximity Read ↗

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