To identify potential prognostic indicators of ovarian cancer and identify targets for therapeutic strategies, mRNA differential display was used to analyze gene expression differences in normal, benign, and cancerous ovarian tissue. One cDNA isolated by this technique, Op18/stathmin, is a highly conserved gene that is reported to have many different functions within a cell, including signal transduction, control of the cell cycle, and the regulation of microtubules. Quantitative Northern blot analysis of 12 malignant ovarian samples, 8 benign ovarian tumors, and 10 normal ovarian tissue samples demonstrated overexpression of Op18/stathmin mRNA in the malignant cancers. Immunohistochemistry showed an apparent overexpression of Op18/stathmin protein level and an association with proliferating cells.

Objective: This study was undertaken to determine the prevalence of human papillomavirus (HPV) in loop electrosurgical excision procedure (LEEP) plumes.Methods: Forty-nine consecutive patients with colposcopic and cytologic evidence of cervical intraepithelial neoplasia (CIN) were tested. Smoke plumes were collected through a filter placed in the suction tubing. DNA was harvested by proteinase K digest of the filters and prepared for polymerase chain reaction (PCR) by L1 consensus primers.Results: Thirty-nine (80%) tissue samples were positive for HPV, with types 6/11 in 4, 16 and the labeling of amplified products from reference strains as described by Resnick et al.The PCR product was purified using a gel filtration column (Stratagene, La Jolla, CA). Double-stranded sequencing of the purified product was performed using the Circumvent TM Thermal Cycle Dideoxy DNA Sequencing Kit (New England Biolabs, Beverly, MA). Primers were the same as those described for the primary PCR. The products from the sequencing reactions were analyzed using a 6% Long Ranger TM gel (AT Biochem, Malvern, PA). The isolates were sequenced in both strands. RESULTSWe performed a LEEP biopsy on 49 patients.

Homeobox (HOX) genes encode transcription factors critical to morphogenesis and cell differentiation. Although dysregulation of several HOX genes in ovarian cancer has been reported, little is known about HOXC6 expression in epithelial ovarian cancer. In this report, analysis of laser capture microdissected samples determined HOXC6 expression patterns in normal versus malignant serous ovarian carcinoma tissues. HOXC6 protein was quantified by ELISA in parallel serum samples and further validated in a larger cohort of serum samples collected from women with and without serous ovarian carcinoma. These data demonstrate significant downregulation of HOXC6 in serous ovarian cancer.

Screening methods of High-Grade Serous Ovarian Cancer (HGSOC) lack specificity and sensitivity, partly due to benign tumors producing false-positive findings. We utilized a differential expression analysis pipeline on malignant tumor (MT) and normal epithelial (NE) samples, and also filtered the results to discriminate between MT and benign tumor (BT). We report that a panel of 26 dysregulated genes stratifies MT from both BT and NE. We further validated our findings by utilizing unsupervised clustering methods on two independent datasets. We show that the 26-genes panel completely distinguishes HGSOC from NE, and produces a more accurate classification between HGSOC and BT. Pathway analysis reveals that AKT3 is of particular significance, because of its high fold change and appearance in the majority of the dysregulated pathways. mRNA patterns of AKT3 suggest essential connections with tumor growth and metastasis, as well as a strong biomarker potential when used with 3 other genes (PTTG1, MND1, CENPF). Our results show that dysregulation of the 26-mRNA signature panel provides an evidence of malignancy and contribute to the design of a high specificity biomarker panel for detection of HGSOC, potentially in an early more curable stage.

Utilizing microarray gene expression data in cancer research possesses the ability to identify deregulated cellular pathways involved in malignant development. This study investigated the relationships of three gene families, HOX, ErbB and IGFBP, with regard to the development of ovarian cancer. These families were of interest because of similar chromosomal locations and their deregulated expression in ovarian cancer. Higher level statistics were used to differentially analyze microarray data in 65 ovarian samples to assess correlation and relationships among the gene families of interest. Fifteen genes in the three families were found to be significantly deregulated. Thirty-eight significant correlations were found within and between the genes of interest. Our data indicates that the significantly modeled relationships between HOX, ErbB and IGFBP gene pairs could provide insight into the underlying biological mechanisms in ovarian cancer.