ArticleBritish journal of cancer2009
Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer.
Article in British journal of cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
48 citing papers in PubMed, 90 citations in OpenAlex.
- CCNE1 and PLK1 Mediate Resistance to Palbociclib in HR+/HER2- Metastatic Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Trial
- Diagnosis of pancreaticobiliary malignancy by detection of minichromosome maintenance protein 5 in biliary brush cytology.British journal of cancer · 2017Trial
- Targeting DNA replication before it starts: Cdc7 as a therapeutic target in p53-mutant breast cancers.The American journal of pathology · 2010Trial
- Association of baseline tumor-infiltrating lymphocytes and cell-cycle regulation markers on prognosis and mortality in patients with advanced breast cancer according to tumor characteristics and treatment type: an observational study.Breast cancer research and treatment · 2026Observational
- Differentially expressed fusogens specify myocyte states to drive myogenesis.Development (Cambridge, England) · 2025Article
- Targeting c-Myc enhances immunotherapy efficacy in combination with Ras inhibitor in triple-negative breast cancer.Clinical and translational medicine · 2025Article
- A new insight into the impact of copy number variations on cell cycle deregulation of luminal-type breast cancer.Oncology reviews · 2025Review
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- Cell-cycle phase progression analysis identifies three unique phenotypes in soft tissue sarcoma.BMC cancer · 2024Article
- The value and significance of nucleolar organizer region proteins as markers of malignancy in breast cancer patients.Saudi medical journal · 2024Article
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- MCM-2 Levels as a Potential Biomarker for Predicting High-Risk Breast Cancer Patients According to TAILORx Classification.Breast cancer (Dove Medical Press) · 2023Article
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- Lysosomal Exocytosis of Olivacine on the Way to Explain Drug Resistance in Cancer Cells.International journal of molecular sciences · 2022Article
- Cell Cycle Regulation of Hippocampal Progenitor Cells in Experimental Models of Depression and after Treatment with Fluoxetine.International journal of molecular sciences · 2021Article
- A machine learning approach for single cell interphase cell cycle staging.Scientific reports · 2021Article
- A novel evaluation method for Ki-67 immunostaining in paraffin-embedded tissues.Virchows Archiv : an international journal of pathology · 2021Article
- PLK1 inhibition exhibits strong anti-tumoral activity in CCND1-driven breast cancer metastases with acquired palbociclib resistance.Nature communications · 2020Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 machinery (Plk1, Aurora A and the Aurora substrate histone H3S10ph) were generated for a cohort of 182 patients and linked to clinicopathological parameters. Arrested differentiation and genomic instability were associated with an increased engagement of cells into the cell division cycle (P<0.0001). Three unique cell-cycle phenotypes were identified: (1) well-differentiated tumours composed predominantly of Mcm2-negative cells, indicative of an out-of-cycle state (18% of cases); (2) high Mcm2-expressing tumours but with low geminin, Aurora A, Plk1 and H3S10ph levels (S-G2-M progression markers), indicative of a G1-delayed/arrested state (24% cases); and (3) high Mcm2-expressing tumours and also expressing high levels of the S-G2-M progression markers, indicative of accelerated cell-cycle progression (58% of cases). The active cell-cycle progression phenotype had a higher risk of relapse when compared with out-of-cycle and G1-delayed/arrested phenotypes (HR=3.90 (1.81-8.40, P<0.001)), and was associated with Her-2 and triple negative subtypes (P<0.001). It is of note that high-grade tumours with the G1-delayed/arrested phenotype showed an identical low risk of relapse compared with well-differentiated out-of-cycle tumours (HR=1.00 (0.22-4.46), P=0.99). Our biomarker algorithm provides novel insights into the cell-cycle state of dynamic tumour cell populations in vivo. This information is of major prognostic significance and may impact on individualised therapeutic decisions. Patients with an accelerated phenotype are more likely to derive benefit from S- and M-phase-directed chemotherapeutic agents.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.