ArticleBiomarker insights2010
Breast cancer biomarker discovery in the functional genomic age: a systematic review of 42 gene expression signatures.
Article in Biomarker insights, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.PloS one · 2012Pooled it
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- Novel benzothiazole/benzothiazole thiazolidine-2,4-dione derivatives as potential FOXM1 inhibitors: In silico, synthesis, and in vitro studies.Archiv der Pharmazie · 2024Article
- A drug repurposing study identifies novel FOXM1 inhibitors with in vitro activity against breast cancer cells.Medical oncology (Northwood, London, England) · 2024Article
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- The Transcriptomic Portrait of Locally Advanced Breast Cancer and Its Prognostic Value in a Multi-Country Cohort of Latin American Patients.Frontiers in oncology · 2022Article
- Computational analysis of fused co-expression networks for the identification of candidate cancer gene biomarkers.NPJ systems biology and applications · 2021Article
- Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning.Scientific reports · 2021Article
- Transcriptomic Research in Heart Failure with Preserved Ejection Fraction: Current State and Future Perspectives.Cardiac failure review · 2020Review
- Heart myxoma develops oncogenic and metastatic phenotype.Journal of cancer research and clinical oncology · 2019Article
- FOXM1 plays a role in autophagy by transcriptionally regulating Beclin-1 and LC3 genes in human triple-negative breast cancer cells.Journal of molecular medicine (Berlin, Germany) · 2019Article
- A cancer tissue-specific FAM72 expression profile defines a novel glioblastoma multiform (GBM) gene-mutation signature.Journal of neuro-oncology · 2019Article
- Trimodal distribution of arylamine N-acetyltransferase 1 mRNA in breast cancer tumors: association with overall survival and drug resistance.BMC genomics · 2018Article
- A single nucleotide polymorphism in codon F31I and V57I of the AURKA gene in invasive ductal breast carcinoma in Middle East.Medicine · 2017Article
- Transcriptional landscape of human cancers.Oncotarget · 2017Article
- Gene signature combinations improve prognostic stratification of multiple myeloma patients.Leukemia · 2016Article
- Expression of FOXM1 and related proteins in breast cancer molecular subtypes.International journal of experimental pathology · 2016Article
- Toward precision medicine of breast cancer.Theoretical biology & medical modelling · 2016Review
- Molecular portraits: the evolution of the concept of transcriptome-based cancer signatures.Briefings in bioinformatics · 2015Review
- Derivation of a fifteen gene prognostic panel for six cancers.Scientific reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this review we provide a systematic analysis of transcriptomic signatures derived from 42 breast cancer gene expression studies, in an effort to identify the most relevant breast cancer biomarkers using a meta-analysis method. Meta-data revealed a set of 117 genes that were the most commonly affected ranging from 12% to 36% of overlap among breast cancer gene expression studies. Data mining analysis of transcripts and protein-protein interactions of these commonly modulated genes indicate three functional modules significantly affected among signatures, one module related with the response to steroid hormone stimulus, and two modules related to the cell cycle. Analysis of a publicly available gene expression data showed that the obtained meta-signature is capable of predicting overall survival (P < 0.0001) and relapse-free survival (P < 0.0001) in patients with early-stage breast carcinomas. In addition, the identified meta-signature improves breast cancer patient stratification independently of traditional prognostic factors in a multivariate Cox proportional-hazards analysis.
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Registered trials
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.