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Gene expression profile analysis of t1 and t2 breast cancer reveals different activation pathways. | LitMetric

Gene expression profile analysis of t1 and t2 breast cancer reveals different activation pathways.

ISRN Oncol

Department of Surgery, Akershus University Hospital, 1478 Lørenskog, Norway ; Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway.

Published: March 2013

AI Article Synopsis

  • Breast cancers are mainly categorized as T1 (up to 2.0 cm) or T2 (2.1 to 5.0 cm) due to better early detection methods.
  • Researchers conducted a study involving 46 samples to identify genetic differences between T1 and T2 tumors, discovering 441 genes with varying expression levels linked to tumor size.
  • Using these genetic signatures for tumor classification can help identify T1 patients needing aggressive treatment and T2 patients who may not benefit as much, potentially impacting treatment decisions significantly.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3603375PMC
http://dx.doi.org/10.1155/2013/924971DOI Listing

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