Description
Reliable identification of cancer markers can have substantial implications to early detection of cancer. We report here an integrated computational and experimental study on identification of gastric cancer markers in patients tissue and sera based on (i) genome-scale transcriptomic analyses on 80 paired gastric cancer/reference tissues, with the aim of identifying abnormally expressed genes at various subtypes/stages of gastric carcinoma (ii) a computational identification of differentially expressed genes that may have their proteins secreted into blood circulation, followed by experimental validations.