The development of a mini-array for estimating the disease state of gastric adenocarcinoma by array CGH.

ABSTRACT:

Background

The treatment strategy usually depends on the disease state in the individual patient. However, it is difficult to estimate the disease state before treatment in many patients. The purpose of this study was to develop a BAC (bacterial artificial chromosome) mini-array allowing for the estimation of node metastasis, liver metastasis, peritoneal dissemination and the depth of tumor invasion in gastric cancers.

Methods

Initially, the DNA copy number aberrations (DCNAs) were analyzed by array-based comparative genomic hybridization (aCGH) in 83 gastric adenocarcinomas as a training-sample set. Next, two independent analytical methods were applied to the aCGH data to identify the BAC clones with DNA copy number aberrations that were linked with the disease states. One

SUBMITTER: Furuya T 

PROVIDER: S-EPMC2637883 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature