Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer.

ABSTRACT: Tumor size, as indicated by the T-category, is known as a strong prognostic indicator for breast cancer. It is common practice to distinguish the T1 and T2 groups at a tumor size of 2.0 cm. We investigated the 2.0-cm rule from a new point of view. Here, we try to find the optimal threshold based on the differences between the gene expression profiles of the T1 and T2 groups (as defined by the threshold). We developed a numerical algorithm to measure the overall differential gene expression between patients with smaller tumors and those with larger tumors among multiple expression datasets from different studies. We confirmed the performance of the proposed algorithm by a simulation study and then applied it to three different studies conducted at two Norwegian hospitals. We found that the

SUBMITTER: Solvang HK 

PROVIDER: S-EPMC4746218 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature