A Serial Analysis of Gene Expression (SAGE) database analysis of chemosensitivity: comparing solid tumors with cell lines and comparing solid tumors from different tissue origins.

Drug sensitivity and resistance has been most extensively studied in cell lines carried in tissue culture. Furthermore, cell lines have been widely used in testing new anticancer agents, despite the widely recognized observation that cell lines are more sensitive to cytotoxic drugs than are their corresponding solid tumors. We used the Serial Analysis of Gene Expression (SAGE) database to identify differences between solid tumors and cell lines, hoping to detect genes that could potentially explain differences in drug sensitivity. SAGE libraries were available for both solid tumors and cell lines from breast, colon, ovarian, pancreatic, and prostate carcinomas and from gliomas and medulloblastomas. Sixty-two genes were identified as overexpressed in tumors. The immune response and complement pathways were the significant common themes, with extracellular matrix (ECM) proteins third. For the 61 genes overexpressed in cell lines, protein synthesis was the dominant theme. We next used the SAGE database to identify genetic differences between tumor types that convey a broad range of survival to the patients that bear them as distant metastases. SAGE gene expression data were correlated with 5-year survivals documented in the SEER (Surveillance, Epidemiology and End-Results) database for patients diagnosed with "distant" or metastatic cancers. These are unlikely to be amenable to surgical resection; therefore, survival here reflects, to some extent, sensitivity to systemic therapy, i.e., chemotherapy. Using survival data as a surrogate of chemotherapy sensitivity, a spectrum can be generated, with testicular cancer at one end and pancreatic cancer at the other. Favorable 5-year survival, despite a distant presentation, correlates with expression of protein synthesis genes. Poor 5-year survival correlates with expression of cell adhesion, cytoskeletal, and ECM genes, a pattern similar to that found to distinguish solid tumors from the more cytotoxin-sensitive cancer cell lines. One interpretation is that resistance to chemotherapy may arise, in part, from the adherent, relatively inert condition (i.e., low in protein synthesis potential) of refractory cancers. Thus, attachment or ECM genes could be targets for anticancer therapy.