@article{oai:kanazawa-u.repo.nii.ac.jp:00013263, author = {Honda, Masao and Sakai, Yoshio and Yamashita, Taro and Yamashita, Tatsuya and Sakai, Akito and Mizukoshi, Eishiro and Nakamoto, Yasunari and Tatsumi, Isamu and Miyazaki, Yoshitaka and Tanno, Hiroshi and Kaneko, Shuichi and Hokuriku Liver Study Group}, issue = {1}, journal = {Biochemical and Biophysical Research Communications}, month = {Sep}, note = {To develop a non-invasive and sensitive diagnostic test for cancer using peripheral blood, we evaluated gene expression profiling of blood obtained from patients with cancer of the digestive system and normal subjects. The expression profiles of blood-derived total RNA obtained from 39 cancer patients (11 colon cancer, 14 gastric cancer, and 14 pancreatic cancer) was clearly different from those obtained from 15 normal subjects. By comparing the gene expression profiles of cancer patients and normal subjects, 25 cancer-differentiating genes (p<5.0×10-6 and fold differences >3) were identified and an " expression index" deduced from the expression values of these genes differentiated the validation cohort (11 colon cancer, 8 gastric cancer, 18 pancreatic cancer, and 15 normal subjects) into cancer patients and normal subjects with 100% (37/37) and 87% (13/15) accuracy, respectively. Although, the expression profiles were not clearly different between the cancer patients, some characteristic genes were identified according to the stage and species of the cancer. Interestingly, many immune-related genes such as antigen presenting, cell cycle accelerating, and apoptosis- and stress-inducing genes were up-regulated in cancer patients, reflecting the active turnover of immune regulatory cells in cancer patients. These results showed the potential relevance of peripheral blood gene expression profiling for the development of new diagnostic examination tools for cancer patients. © 2010 Elsevier Inc., 金沢大学医薬保健研究域医学系}, pages = {7--15}, title = {Differential gene expression profiling in blood from patients with digestive system cancers}, volume = {400}, year = {2010} }