Frequency of mutations and polymorphisms in borderline ovarian tumors of known cancer genes.

Borderline ovarian tumors represent an understudied subset of ovarian tumors. Most studies investigating aberrations in borderline tumors have focused on KRAS/BRAF mutations. In this study, we conducted an extensive analysis of mutations and single-nucleotide polymorphisms (SNPs) in borderline ovarian tumors. Using the Sequenom MassArray platform, we investigated 160 mutations/polymorphisms in 33 genes involved in cell signaling, apoptosis, angiogenesis, cell cycle regulation and cellular senescence. Of 52 tumors analyzed, 33 were serous, 18 mucinous and 1 endometrioid. KRAS c.35G>A p.Gly12Asp mutations were detected in eight tumors (six serous and two mucinous), BRAF V600E mutations in two serous tumors, and PIK3CA H1047Y and PIK3CA E542K mutations in a serous and an endometrioid BOT, respectively. CTNNB1 mutation was detected in a serous tumor. Potentially functional polymorphisms were found in vascular endothelial growth factor (VEGF), ABCB1, FGFR2 and PHLPP2. VEGF polymorphisms were the most common and detected at four loci. PHLPP2 polymorphisms were more frequent in mucinous as compared with serous tumors (P=0.04), with allelic imbalance in one case. This study represents the largest and most comprehensive analysis of mutations and functional SNPs in borderline ovarian tumors to date. At least 25% of borderline ovarian tumors harbor somatic mutations associated with potential response to targeted therapeutics.

Dynamic spectral imaging: improving colposcopy.

PURPOSE: Colposcopy occupies a key role in the prevention of cervical cancer by identifying preinvasive or invasive lesions. However, colposcopy is subjective and is responsible for 52% of screening failures. Dynamic spectral imaging (DSI) is based on the objective, quantitative assessment of the acetowhitening effect. This study compared DSI with colposcopy. EXPERIMENTAL DESIGN: Women referred for colposcopy were examined simultaneously with colposcopy and DSI using a precommercial DySIS model (FPC-03) in an international, multicenter trial. The colposcopy impression and DySIS values were compared with consensus histology reports of biopsies. Subjects were recruited to a training group and subsequently to a test group. Measures were taken to avoid verification bias. RESULTS: The training and test groups comprised 82 and 308 eligible women, respectively. A cutoff value to identify high-grade disease was selected from the results of the training group and data from previous work. Receiver operator curve analysis of the test data showed an area under the curve of 0.844. DySIS detected 62.9% more high-grade cases than colposcopy (57 versus 35, P=0.0001). DySIS exceeded end points approved by the Food and Drug Administration for similar studies, with increments in the true positive rate of 22/308 (7.1%; lower 95% CL, 4.5% versus 2%) and in the false positive rate of 32/308 (10.4%; upper 95% CL, 14.7% versus 15%). CONCLUSIONS: DySIS is more sensitive than colposcopy in detecting high-grade lesions and can provide improved guidance for biopsy. The results are obtained in a user-independent fashion, making it suitable for use by nursing personnel.