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

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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.

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 can-cers 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).

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.

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 predict-ing 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.

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Correspondence to Koji Tsumagari.

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Tsumagari, K., Chijiiwa, K., Nagai, H. et al. Postoperative prognosis of node-negative breast cancers predicted by gene-expression profiling on a cDNA microarray of 25,344 genes. Breast Cancer 12, 166–177 (2005). https://doi.org/10.2325/jbcs.12.166

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  • DOI: https://doi.org/10.2325/jbcs.12.166

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