Variation in Gene Expression Patterns in Human Gastric Cancers
Xin Chen, Suet Yi Leung, Siu Tsan Yuen, Kent‐Man Chu, Jiafu Ji, Rui Li, Annie S.Y. Chan, Simon Law, Olga G. Troyanskaya, John Wong, Samuel So, David Botstein, Patrick O. Brown
Abstract
Xin Chen, Suet Yi Leung, Siu Tsan Yuen, Kent‐Man Chu, Jiafu Ji, Rui Li, Annie S.Y. Chan, Simon Law, Olga G. Troyanskaya, John Wong, Samuel So, David Botstein, Patrick O. Brown
Abstract
Gastric cancer is the world's second most common cause of cancer death. We analyzed gene expression patterns in 90 primary gastric cancers, 14 metastatic gastric cancers, and 22 nonneoplastic gastric tissues, using cDNA microarrays representing approximately 30,300 genes. Gastric cancers were distinguished from nonneoplastic gastric tissues by characteristic differences in their gene expression patterns. We found a diversity of gene expression patterns in gastric cancer, reflecting variation in intrinsic properties of tumor and normal cells and variation in the cellular composition of these complex tissues. We identified several genes whose expression levels were significantly correlated with patient survival. The variations in gene expression patterns among cancers in different patients suggest differences in pathogenetic pathways and potential therapeutic strategies.
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Gastric cancer is the world's second most common cause of cancer death. We analyzed gene expression patterns in 90 primary gastric cancers, 14 metastatic gastric cancers, and 22 nonneoplastic gastric tissues, using cDNA microarrays representing approximately 30,300 genes. Gastric cancers were distinguished from nonneoplastic gastric tissues by characteristic differences in their gene expression patterns. We found a diversity of gene expression patterns in gastric cancer, reflecting variation in intrinsic properties of tumor and normal cells and variation in the cellular composition of these complex tissues. We identified several genes whose expression levels were significantly correlated with patient survival. The variations in gene expression patterns among cancers in different patients suggest differences in pathogenetic pathways and potential therapeutic strategies.
Key concepts: Biology, Cancer, Gene, Gene expression, DNA microarray, Cancer research, Gene expression profiling, Regulation of gene expression