Back to Search Start Over

Postoperative prognosis of node-negative breast cancers predicted by gene-expression profiling on a cDNA microarray of 25,344 genes.

Authors :
Tsumagari K
Chijiiwa K
Nagai H
Makita M
Kasumi F
Akiyama F
Sakamoto G
Miki Y
Source :
Breast cancer (Tokyo, Japan) [Breast Cancer] 2005; Vol. 12 (3), pp. 166-77.
Publication Year :
2005

Abstract

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.

Details

Language :
English
ISSN :
1340-6868
Volume :
12
Issue :
3
Database :
MEDLINE
Journal :
Breast cancer (Tokyo, Japan)
Publication Type :
Academic Journal
Accession number :
16110286
Full Text :
https://doi.org/10.2325/jbcs.12.166