ArticleJournal of experimental & clinical cancer research : CR2014
A 41-gene signature derived from breast cancer stem cells as a predictor of survival.
Article in Journal of experimental & clinical cancer research : CR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- LINC00472 expression is regulated by promoter methylation and associated with disease-free survival in patients with grade 2 breast cancer.Breast cancer research and treatment · 2015Pooled it
- YAP1 Dysfunction Promotes Molecular Properties Linked to Breast Cancer Susceptibility.Cancer prevention research (Philadelphia, Pa.) · 2026Article
- RNA sequencing identifiesCytotechnology · 2025Article
- Comprehensive pan-cancer analysis reveals CCDC58 as a carcinogenic factor related to immune infiltration.Apoptosis : an international journal on programmed cell death · 2024Article
- Elevated transcription and glycosylation of B3GNT5 promotes breast cancer aggressiveness.Journal of experimental & clinical cancer research : CR · 2022Article
- Overexpression of miR-1225 promotes the progression of breast cancer, resulting in poor prognosis.Clinical and experimental medicine · 2021Article
- The Construction of Bone Metastasis-Specific Prognostic Model and Co-expressed Network of Alternative Splicing in Breast Cancer.Frontiers in cell and developmental biology · 2020Article
- TSPAN8 promotes cancer cell stemness via activation of sonic Hedgehog signaling.Nature communications · 2019Article
- Article
- Genome wide copy number analyses of superficial esophageal squamous cell carcinoma with and without metastasis.Oncotarget · 2017Article
- High expression of ID family and IGJ genes signature as predictor of low induction treatment response and worst survival in adult Hispanic patients with B-acute lymphoblastic leukemia.Journal of experimental & clinical cancer research : CR · 2016Article
- Subpopulation Treatment Effect Pattern Plot (STEPP) analysis of Ki67 assay according to histology: prognostic relevance for resected early stage 'pure' and 'mixed' lobular breast cancer.Journal of experimental & clinical cancer research : CR · 2016Article
- A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome.Scientific reports · 2015Article
- Developmental pluripotency-associated 4: a novel predictor for prognosis and a potential therapeutic target for colon cancer.Journal of experimental & clinical cancer research : CR · 2015Article
- Article
- Identification of genes involved in breast cancer and breast cancer stem cells.Breast cancer (Dove Medical Press) · 2015Article
- An ER-associated miRNA signature predicts prognosis in ER-positive breast cancer.Journal of experimental & clinical cancer research : CR · 2014Article
- A four-long non-coding RNA signature in predicting breast cancer survival.Journal of experimental & clinical cancer research : CR · 2014Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to evaluate the ability of a 41-gene signature derived from breast cancer stem cells (BCSCs) to estimate the risk of metastasis and survival in breast cancer patients.
methodsThe centroid expression of the 41-gene signature derived from BCSCs was applied as the threshold to classify patients into two separate groups--patients with high expression (high-EL) of the prognostic signature and patients with low expression (low-EL). The predictive ability of the 41-gene signature was evaluated by Cox regression model and was compared against other popular tests, such as Oncotype and MammaPrint.
resultsOur results showed that the 41-gene prognostic signature was significantly associated with age (P = .0351) and ER status (P = .0095). The analysis indicated that patients in the high-EL group had a worse prognosis than those in the low-EL group in terms of both overall survival (OS: HR, 2.05, P = .009) and distant metastasis-free survival (DMFS: HR, 2.24, P = .002). Additionally, the 41-gene signature was an independent risk factor and separates patients based on estrogen receptor status. While comparable to Oncotype, the analysis demonstrated that the 41-gene signature had a better prognostic value in predicting DMFS and OS than AOL, NPI, St. Gallen, Veridex, and MammaPrint.
conclusionsThis study confirms the utility of the 41-gene signature and adds to the growing evidence that gene expression signatures of BCSCs have clinical potential to predict patient outcome and aid in treatment choice.
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