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Biological Functions of the Genes in the Mammaprint Breast Cancer Profile Reflect the Hallmarks of Cancer
MammaPrint was developed as a diagnostic tool to predict risk of breast cancer metastasis using the expression of 70 genes. To better understand the tumor biology assessed by MammaPrint, we interpreted the biological functions of the 70-genes and showed how the genes reflect the six hallmarks of cancer as defined by Hanahan anWeinberg.
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TSPYL5 suppresses p53 levels and function by physical interaction with USP7
We have previously reported a gene expression signature that is a powerful predictor of poor clinical outcome in breast cancer1. Among the seventy genes in this expression profile is a gene of unknown function: TSPYL5 (TSPY-like 5, also known as KIAA1750).
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Cost-Effectiveness of 70-Gene MammaPrint Signature in Node-Negative Breast Cancer
Breast cancer is a heterogeneous disease. Most routine clinical care for breast cancer depends on conventional clinicopathologic prognostic factors (eg, TNM, stage, and comorbidity), prognostic or predictive biomarkers (eg, estrogen receptor [ER], progesterone recep-tor, human epidermal growth factor receptor 2 [HER2], and grade), and clinical guidelines (eg, St Gallen International Expert Consensus, Na-tional Cancer Comprehensive Network (NCCN), and National Cancer Institute). Breast cancers with similar clinicopathologic characteristics may have strikingly different outcomes.
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