Identification of genes overexpressed in tumors through preferential expression screening in trophoblasts

Early trophoblastic cells share several features with neoplastic cells. Based on that observation, we attempted to identify genes overexpressed in tumors by analyzing genes preferentially expressed in trophoblasts. A subtracted library enriched in complementary DNA from early cytotrophoblasts was constructed, and the expression level of selected recombinants was analyzed on a large panel of normal and tumor tissues. The library was prepared using a polymerase chain reaction-based complementary DNA subtraction method with 6-week amenorrhea cytotrophoblast endoplasmic reticulum-bound RNA as target, and a mixture of complementary DNA prepared from terminal placenta and activated T-lymphocytes as driver. Two rounds of screening were performed to isolate clones preferentially expressed in early placenta. From a total number of recombinant clones estimated at 32,000 in the subtracted library, 594 inserts were analyzed by Southern blot and 21 sequences were isolated as corresponding to genes highly expressed in early placenta. Eleven encoded known molecules, such as carcinoembryonic antigen, human chorionic gonadotropin, and mitochondrial rRNAs. Ten sequences represented novel genes. Northern blot analysis confirmed that most of these genes were preferentially expressed in early trophoblast in comparison to terminal placenta. Three clones that gave detectable hybridization signals on total RNA were extensively studied and were found to be overexpressed in various tumors. Two of these clones, designated B9 and E4, were later identified as corresponding to genes coding for the putative ribosomal protein S18 and the bifunctional enzyme ADE2H1 involved in purine biosynthesis, respectively. Expression of the third clone, E9, was increased up to 10-fold in breast cancer tissues in comparison with normal counterparts. Present results confirm that many genes expressed in the trophoblast are overexpressed in malignant cells. This approach could provide a general targeted method for the identification of genes overexpressed in various neoplastic cell types.