ArticleProceedings of the National Academy of Sciences of the United States of America2003
Breast cancer classification and prognosis based on gene expression profiles from a population-based study.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00542191 (Phase II Trial of Neoadjuvant Metronomic Chemotherapy in Triple-Negative Breast Cancer), which is not on this map. Cited by 753 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Phase II Trial of Neoadjuvant Metronomic Chemotherapy in Triple-Negative Breast Cancer
Who cites it
753 citing papers in PubMed, 4 syntheses or guidelines pooled it, 1,995 citations in OpenAlex.
- mRNA ratios of AR to ESR1 and PGR distinguish breast cancer subtypes based on public datasets and experimental models.Scientific reports · 2025Pooled it
- Breast cancer stage prediction: a computational approach guided by transcriptome analysis.Molecular genetics and genomics : MGG · 2022Pooled it
- A systematic review of datasets that can help elucidate relationships among gene expression, race, and immunohistochemistry-defined subtypes in breast cancer.Cancer biology & therapy · 2021Pooled it
- Breast Cancer Research in the Caribbean: Analysis of Reports From 1975 to 2017.Journal of global oncology · 2018Pooled it
- Pegylated Liposomal Doxorubicin (CaelyxCurrent oncology (Toronto, Ont.) · 2021Trial
- Charting spatial ligand-target activity using Renoir.Nature communications · 2026Article
- Applications of Metabolomics to the Clinical Management of Breast Cancer: New Perspectives for Diagnosis, Treatment and Prognosis.International journal of molecular sciences · 2026Review
- The Pivotal Role of miR-770 in Solid Tumors Carcinogenesis.Advanced biomedical research · 2026Review
- Deep learning and radiomics integration of photoacoustic/ultrasound imaging for non-invasive prediction of luminal and non-luminal breast cancer subtypes.Breast cancer research : BCR · 2025Article
- Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset.Briefings in bioinformatics · 2025Article
- Insulin Resistance Increases TNBC Aggressiveness and Brain Metastasis via Adipocyte-Derived Exosomes.Molecular cancer research : MCR · 2025Article
- The Breast Cancer Classifier refines molecular breast cancer classification to delineate the HER2-low subtype.NPJ breast cancer · 2025Article
- Molecular heterogeneity and MYC dysregulation in triple-negative breast cancer: genomic advances and therapeutic implications.3 Biotech · 2025Review
- Prevalence and Predictors of Triple-Negative Breast Cancer Among Sudanese Women: A Retrospective Analysis of Newly Diagnosed Cases.International journal of women's health · 2025Article
- NOSH-aspirin (NBS-1120) inhibits estrogen receptor-negative breast cancer in vitro and in vivo by modulating redox-sensitive signaling pathways.The Journal of pharmacology and experimental therapeutics · 2025Article
- An insight into the therapeutic effects of isoliquiritigenin in breast cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2024Review
- Benign breast tumors may arise on different immunological backgrounds.Molecular oncology · 2024Article
- TWEAK/Fn14 signalling driven super-enhancer reprogramming promotes pro-metastatic metabolic rewiring in triple-negative breast cancer.Nature communications · 2024Article
- Surgical Tumor Resection Deregulates Hallmarks of Cancer in Resected Tissue and the Surrounding Microenvironment.Molecular cancer research : MCR · 2024Article
- Article
693 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comprehensive gene expression patterns generated from cDNA microarrays were correlated with detailed clinico-pathological characteristics and clinical outcome in an unselected group of 99 node-negative and node-positive breast cancer patients. Gene expression patterns were found to be strongly associated with estrogen receptor (ER) status and moderately associated with grade, but not associated with menopausal status, nodal status, or tumor size. Hierarchical cluster analysis segregated the tumors into two main groups based on their ER status, which correlated well with basal and luminal characteristics. Cox proportional hazards regression analysis identified 16 genes that were significantly associated with relapse-free survival at a stringent significance level of 0.001 to account for multiple comparisons. Of 231 genes previously reported by others [van't Veer, L. J., et al. (2002) Nature 415, 530-536] as being associated with survival, 93 probe elements overlapped with the set of 7,650 probe elements represented on the arrays used in this study. Hierarchical cluster analysis based on the set of 93 probe elements segregated our population into two distinct subgroups with different relapse-free survival (P < 0.03). The number of these 93 probe elements showing significant univariate association with relapse-free survival (P < 0.05) in the present study was 14, representing 11 unique genes. Genes involved in cell cycle, DNA replication, and chromosomal stability were consistently elevated in the various poor prognostic groups. In addition, glutathione S-transferase M3 emerged as an important survival marker in both studies. When taken together with other array studies, our results highlight the consistent biological and clinical associations with gene expression profiles.
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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.