Improved survival in women with <i>BRCA</i>‐associated ovarian carcinomaBACKGROUND: The objective of this study was to determine the clinical characteristics, treatment response, and frequency of p53 overexpression in Ashkenazi Jewish women with hereditary ovarian carcinoma. METHODS: Seventy-one Jewish women with epithelial ovarian carcinoma (EOC) were tested for the three BRCA founder mutations using single-strand conformation polymorphism analysis, heteroduplex analysis, and protein truncation testing. Clinical and histopathologic data were reviewed retrospectively. In vitro chemoresistance was analyzed in 32 patients. Mutations of p53 were studied using immunohistochemical detection of p53 overexpression. RESULTS: Thirty-four of 71 Jewish patients with EOC (48%) had germline BRCA mutations (BRCA heterozygotes), including 22 BRCA1 mutations and 12 BRCA2 mutations. BRCA heterozygotes were younger compared with Jewish patients who had EOC without mutations (sporadic carcinoma; 50 years vs. 59 years, respectively; P = 0.01). BRCA1 heterozygotes were younger compared with BRCA2 heterozygotes (48 years vs. 57 years, respectively; P = 0.01). Histopathologic tumor features were similar; however, tumors with low malignant potential were seen only in women with sporadic carcinoma. Both groups had equivalent rates of surgical cytoreduction and similar median follow-up (72 months). BRCA heterozygotes had higher response rates to primary therapy compared with patients who had sporadic disease (P = 0.01). In vitro chemoresistance predicted tumor response to platinum chemotherapy correctly in BRCA heterozygotes (P = 0.0096). BRCA heterozygotes with advance-stage disease had improved survival compared with patients who had advanced stage sporadic carcinoma (91 months vs. 54 months, respectively; P = 0.046) and had a longer disease free interval (49 months vs. 19 months, respectively; P = 0.16). p53 overexpression was common in BRCA heterozygotes (80%). CONCLUSIONS: BRCA1 heterozygotes developed EOC at a younger age compared with BRCA2 heterozygotes and women who had sporadic ovarian carcinoma. BRCA heterozygotes had a better response to platinum chemotherapy compared with women who had sporadic disease, which may have contributed to their improved prognosis.
Comparative hybridization of an array of 21 500 ovarian cDNAs for the discovery of genes overexpressed in ovarian carcinomasBRCA1 promoter region hypermethylation in ovarian carcinoma: a population-based study.There is a clear association between germ-line BRCA1 mutations and inherited ovarian cancer; however, the association between BRCA1 mutations and sporadic ovarian cancer remains ambiguous. The frequency of BRCA1 promoter hypermethylation as an epigenetic means of BRCA1 inactivation was determined for a large, population-based cohort of ovarian cancer patients. BRCA1 promoter hypermethylation was determined by methylation-specific restriction digestion of tumor DNA, followed by Southern blot analysis and confirmed by methylation-specific PCR. BRCA1 promoter hypermethylation was observed in 12 of 98 ovarian tumors. BRCA1 methylation status of the primary tumor was conserved in six recurrent tumors after interim chemotherapy. None of the 12 tumors with BRCA1 promoter hypermethylation demonstrated BRCA1 protein expression by immunohistochemistry. BRCA1 methylation was only seen in ovarian cancer patients without a family history suggestive of a breast/ ovarian cancer syndrome. Therefore, the 12 BRCA1 methylated tumors represented 15% (12 of 81) of the sporadic cancers analyzed in this study. Although the clinical significance of BRCA1 promoter hypermethylation is yet to be determined, promoter hypermethylation may be an alternative to mutation in causing the inactivation of the BRCA1 tumor suppressor gene in sporadic ovarian cancer.
Enhanced expression of the type II transforming growth factor beta receptor in human pancreatic cancer cells without alteration of type III receptor expression.We have recently found that human pancreatic adenocarcinomas exhibit strong immunostaining for the three mammalian transforming growth factor beta (TGF-beta) isoforms. These important growth-regulating polypeptides bind to a number of proteins, including the type I TGF-beta receptor (T beta R-I), type II TGF-beta receptor (T beta R-II), and the type III TGF-beta receptor (T beta R-III). In the present study we sought to determine whether T beta R-II and T beta R-III expression is altered in pancreatic cancer. Northern blot analysis indicated that, by comparison with the normal pancreas, pancreatic adenocarcinomas exhibited a 4.6-fold increase (P < 0.01) in mRNA levels encoding T beta R-II. In contrast, mRNA levels encoding T beta R-III were not increased. In situ hybridization showed that T beta R-II mRNA was expressed in the majority of cancer cells, whereas mRNA grains encoding T beta R-III were detectable in only a few cancer cells and were present mainly in the surrounding stroma. These findings suggest that enhanced levels of T beta R-II may have a role in regulating human pancreatic cancer cell growth, while T beta R-III may function in the extracellular matrix.
Prognostic DNA Methylation Biomarkers in Ovarian CancerSusan Wei, Curtis Balch, Henry Paik et al.|Clinical Cancer Research|2006 PURPOSE: Aberrant DNA methylation, now recognized as a contributing factor to neoplasia, often shows definitive gene/sequence preferences unique to specific cancer types. Correspondingly, distinct combinations of methylated loci can function as biomarkers for numerous clinical correlates of ovarian and other cancers. EXPERIMENTAL DESIGN: We used a microarray approach to identify methylated loci prognostic for reduced progression-free survival (PFS) in advanced ovarian cancer patients. Two data set classification algorithms, Significance Analysis of Microarray and Prediction Analysis of Microarray, successfully identified 220 candidate PFS-discriminatory methylated loci. Of those, 112 were found capable of predicting PFS with 95% accuracy, by Prediction Analysis of Microarray, using an independent set of 40 advanced ovarian tumors (from 20 short-PFS and 20 long-PFS patients, respectively). Additionally, we showed the use of these predictive loci using two bioinformatics machine-learning algorithms, Support Vector Machine and Multilayer Perceptron. CONCLUSION: In this report, we show that highly prognostic DNA methylation biomarkers can be successfully identified and characterized, using previously unused, rigorous classifying algorithms. Such ovarian cancer biomarkers represent a promising approach for the assessment and management of this devastating disease.