Comparative gene expression analysis of ovarian carcinoma and normal ovarian epithelium by serial analysis of gene expression.

Despite the poor prognosis of ovarian cancer and the importance of early diagnosis, there are no reliable noninvasive biomarkers for detection in the early stages of disease. Therefore, to identify novel ovarian cancer markers with potential utility in early-stage screening protocols, we have undertaken an unbiased and comprehensive analysis of gene expression in primary ovarian tumors and normal human ovarian surface epithelium (HOSE) using Serial Analysis of Gene Expression (SAGE). Specifically, we have generated SAGE libraries from three serous adenocarcinomas of the ovary and, using novel statistical tools, have compared these to SAGE data derived from two pools of normal HOSE. Significantly, in contrast to previous SAGE-based studies, our normal SAGE libraries are not derived from cultured cell lines. We have also compared our data with publicly available SAGE data obtained from primary tumors and "normal" HOSE-derived cell lines. We have thus identified several known and novel genes whose expressions are elevated in ovarian cancer. These include but are not limited to CLDN3, WFDC2, FOLR1, COL18A1, CCND1, and FLJ12988. Furthermore, we found marked differences in gene expression patterns in primary HOSE tissue compared with cultured HOSE. The use of HOSE tissue as a control for these experiments, along with hierarchical clustering analysis, identified several potentially novel biomarkers of ovarian cancer, including TACC3, CD9, GNAI2, AHCY, CCT3, and HMGA1. In summary, these data identify several genes whose elevated expressions have not been observed previously in ovarian cancer, confirm the validity of several existing markers, and provide a foundation for future studies in the understanding and management of this disease.

Chromosomal instability and marker chromosome evolution in oral squamous cell carcinoma.

Squamous cell carcinoma of the head and neck and its subset, oral squamous cell carcinoma (OSCC), arise through a multistep process of genetic alterations as a result of exposure to environmental agents, such as tobacco smoke, alcoholic beverages, and viruses, including human papillomavirus. We and others have shown that the karyotypes of OSCC are near-triploid and contain multiple structural and numerical abnormalities. However, despite a background of clonal chromosomal aberrations, individual cells within a culture express many nonclonal numerical and structural abnormalities, termed chromosomal instability (CIN). To evaluate CIN in oral cancer cells, we isolated clones from two OSCC cell lines and carried out classical cytogenetic analysis, fluorescence in situ hybridization using centromere-specific probes, and spectral karyotyping. We observed variation in chromosome number within clones and between clones of the same cell line. Although similar numbers of centromeric signals for a particular chromosome were present, "homologs" of a chromosome varied structurally from cell to cell (marker chromosome evolution) as documented by classical and spectral karyotyping. In addition to the numerical chromosome variations within a clone, we observed marker chromosome evolution by structural chromosome alterations. It appears that both intrinsic structural alterations and extrinsic cytoskeletal factors influence chromosome segregation, resulting in individual tumor cells that express unique karyotypes. We show that CIN and marker chromosome evolution are essential acquired features of neoplastic cells. Proliferation of this heterogeneous cell population may provide some cells with the ability to evade standard therapies.