Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer.

ABSTRACT:

Background

Lymph node invasion is one of the most powerful clinical factors in cancer prognosis. However, molecular level signatures of their correlation are remaining poorly understood. Here, we propose a new approach, monotonically expressed gene analysis (MEGA), to correlate transcriptional patterns of lymph node invasion related genes with clinical outcome of breast cancer patients.

Results

Using MEGA, we scored all genes with their transcriptional patterns over progression levels of lymph node invasion from 278 non-metastatic breast cancer samples. Applied on 65 independent test data, our gene sets of top 20 scores (positive and negative correlations) showed significant associations with prognostic measures such as cancer metastasis, relapse and survival. Our method sho

SUBMITTER: Kim S 

PROVIDER: S-EPMC3287484 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature