Genetic prognostic index influences patient outcome for node-positive breast cancer
S Asaka, T Fujimoto, J Akaishi, K Ogawa, M Onda - Surgery today, 2006 - Springer
S Asaka, T Fujimoto, J Akaishi, K Ogawa, M Onda
Surgery today, 2006•SpringerPurpose To establish a novel genetic prognostic index among node-positive breast cancer
patients. Methods Using a cDNA microarray, the gene expression profiles of 20 primary
breast cancers that had metastasis to four or more axillary lymph nodes were examined. Ten
patients survived disease-free for more than 5 years (5S), while ten patients died of breast
cancer within 5 years of surgery (5D). Results A set of genes characterizing each group was
identified. Sixteen genes were underexpressed in 5D compared to 5S, and 15 genes were …
patients. Methods Using a cDNA microarray, the gene expression profiles of 20 primary
breast cancers that had metastasis to four or more axillary lymph nodes were examined. Ten
patients survived disease-free for more than 5 years (5S), while ten patients died of breast
cancer within 5 years of surgery (5D). Results A set of genes characterizing each group was
identified. Sixteen genes were underexpressed in 5D compared to 5S, and 15 genes were …
Purpose
To establish a novel genetic prognostic index among node-positive breast cancer patients.
Methods
Using a cDNA microarray, the gene expression profiles of 20 primary breast cancers that had metastasis to four or more axillary lymph nodes were examined. Ten patients survived disease-free for more than 5 years (5S), while ten patients died of breast cancer within 5 years of surgery (5D).
Results
A set of genes characterizing each group was identified. Sixteen genes were underexpressed in 5D compared to 5S, and 15 genes were underexpressed in 5S in comparison to 5D. The prognostic index (PI) was established, which could predict the postoperative outcome with five genes that were commonly underexpressed in the 5D group; these genes encoded granulin (GRN), heat shock 90 kDa protein 1 beta (HSPCB), large tumor suppressor homolog 1 (LATS1), valosin-containing protein (VCP), and LIM-and-SH3 protein1 (LASP1).
Conclusion
These five genes might play an important role in deciding the behavior of node-positive breast cancer. The PI system could thus predict the prognosis of node-positive breast cancer, and might therefore be able to provide valuable information for the prognosis of breast cancer patients.
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