Postoperative Prognosis of Node-Negative Breast Cancers Predicted by Gene-Expression Profiling on a cDNA Microarray of 25,344 Genes

  • Tsumagari Koji
    Department of Molecular Biology, Institute of Gerontology, Nippon Medical School Department of Surgery I, Division of Endocrine and Digestive System, Miyazaki Medical College The Cancer Institute Hospital
  • Chijiiwa Kazuo
    Department of Surgery I, Division of Endocrine and Digestive System, Miyazaki Medical College
  • Nagai Hisaki
    Department of Molecular Biology, Institute of Gerontology, Nippon Medical School
  • Makita Masujiro
    The Cancer Institute Hospital
  • Kasumi Fujio
    The Cancer Institute Hospital
  • Akiyama Futoshi
    The Cancer Institute Hospital
  • Sakamoto Goi
    The Cancer Institute Hospital
  • Miki Yoshio
    The Cancer Institute Hospital

Bibliographic Information

Published
2005
Resource Type
journal article
DOI
  • 10.2325/jbcs.12.166
Publisher
The Japanese Breast Cancer Society

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Description

Background: In Japan, postoperative relapse occurs within five years in 9.2 to 16% of patients whose breast cancers have not metastasized to lymph nodes at the time of initial surgery (node-negative, n0). Attempts to find molecular markers able to classify n0 breast cancers in terms of postoperative prognosis have not been successful.<br>Methods: To identify molecular indicators of prognosis for this type of cancer, we used a cDNA microarray consisting of 25,344 human genes to investigate expression profiles of 12 primary breast cancers from patients whose tumors recurred within five years after surgery (5Y-R) and 12 from patients who survived disease-free for more than five years (5Y-F).<br>Results: Sets of genes characterizing each group in terms of expression patterns in the tumors were selected by Mann-Whitney and random-permutation tests: these panels included 21 genes expressed highly in 5Y-R tumors than in 5Y-F tumors, and 37 with higher expression in the 5Y-F group than in the 5Y-R group.<br>Conclusions: We established a scoring system to prediction of postoperative prognosis which was 100% accurate as to the actual clinical outcomes of the 24 cases and therefore might be useful for predicting prognosis of n0 breast cancers in a clinical setting. The prognostic score system clearly separated the two groups without any overlap, and accurately predicted prognosis in 6 additional cases. Moreover, the extensive list of tumor-related genes identified in these experiments provides valuable information about progression of breast cancer and suggests potential target molecules for therapy of n0 breast cancers.

Journal

  • Breast Cancer

    Breast Cancer 12 (3), 166-177, 2005

    The Japanese Breast Cancer Society

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