Development of a prediction model for lymph node metastasis in luminal A subtype breast cancer

2015 Fiscal Year Final Research Report

• Project/Area Number: 25461981
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: General surgery
• Research Institution: Osaka University
• Principal Investigator: Naoi Yasuto 大阪大学, 医学(系)研究科(研究院), 助教 (30646211)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 乳癌 / マイクロアレイ / 多重遺伝子診断 / 腋窩リンパ節転移

Outline of Final Research Achievements

The present study aimed to construct a prediction model for axillary lymph node metastasis (ALNM) using a DNA microarray assay for gene expression in breast tumor tissues. Luminal A breast cancers, diagnosed by PAM50 testing, were analyzed, and a prediction model (genomic nodal index (GNI)) consisting of 292 probe sets for ALNM was constructed in a training set of patients (n = 388), and was validated in the first (n = 59) and the second (n = 103) validation sets. AUCs of ROC were 0.820, 0.717, and 0.749 in the training, first, and second validation sets, respectively. GNI was most significantly associated with ALNM, independently of the other conventional clinicopathological parameters in all cohorts. It is suggested that GNI can be used to identify the patients with a low risk for ALNM so that sentinel lymph node biopsy can be spared safely.

Free Research Field

マイクロアレイを用いた多遺伝子診断法の開発