ArticleISRN oncology2013
Gene expression profile analysis of t1 and t2 breast cancer reveals different activation pathways.
Article in ISRN oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A machine learning assay to predict disease recurrence in hormone receptor-positive breast cancer.ESMO open · 2026Article
- NCAPH drives breast cancer progression and identifies a gene signature that predicts luminal a tumour recurrence.Clinical and translational medicine · 2024Article
- NCAPH Drives Breast Cancer Progression and Identifies a Gene Signature that Predicts Luminal A Tumor Recurrence.Research square · 2023Article
- Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer.EURASIP journal on bioinformatics & systems biology · 2016Article
- A multiple testing procedure for multi-dimensional pairwise comparisons with application to gene expression studies.BMC bioinformatics · 2016Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancers today are of predominantly T1 (0.1 ≥ 2.0 cm) or T2 (>2 ≤ 5 cm) categories due to early diagnosis. Molecular profiling using microarrays has led to the notion of breast cancer as a heterogeneous disease both clinically and molecularly. Given the prognostic power and clinical use of tumor size, the purpose of this study was to search for molecular signatures characterizing clinical T1 and T2. In total 46 samples were included in the discovery dataset. After adjusting for hormone receptor status, lymph node status, grade, and tumor subclass 441 genes were differently expressed between T1 and T2 tumors. Focal adhesion and extracellular matrix receptor interaction were upregulated in the smaller tumors while p38MAPK signaling and immune-related pathways were more dominant in the larger tumors. The T-size signature was then tested on a validation set of 947 breast tumor samples. Using the T-size expression signatures instead of tumor size leads to a significant difference in risk for distant metastases (P < 0.001). If further confirmed, this molecular signature can be used to select patients with tumor category T1 who may need more aggressive treatment and patients with tumor category T2 who may have less benefit from it.
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Registered trials
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