Germline mutations of BRCA1 gene exon 11 are not associated with platinum response neither with survival advantage in patients with primary ovarian cancer: understanding the clinical importance of one of the biggest human exons. A study of the Tumor Bank Ovarian Cancer (TOC) Consortium.

Germline mutations in BRCA1 gene have been reported in up to 20 % of epithelial ovarian cancer (EOC) patients. Distinct clinical characteristics have been attributed to this special EOC population. We hypothesized that mutations in different BRCA1 gene exons may differently affect the clinical course of the disease. The aim of this study was to analyze, in a large cohort of primary EOCs, the clinical impact of mutations in BRCA1 gene exon 11, the largest exon of the gene sequence encoding the 60 % of BRCA1 protein. Two hundred sixty-three primary EOC patients, treated between 2000 and 2008 at Charité University Hospital of Berlin, were included. Patients' blood samples were obtained from the Tumor Ovarian Cancer (TOC) Network ( www.toc-network.de ). Direct sequencing of BRCA1 gene exon 11 was performed for each patient to detect mutations. Based on their BRCA1 exon 11 mutational status, patients were compared regarding clinico-pathological variables and survival. Mutations in BRCA1 exon 11 were found in 18 out of 263 patients (6.8 %). Further 10/263 (3.8 %) cases showed variants of uncertain significance (VUS). All exon 11 BRCA1-positive tumors (100 %) were Type 2 ovarian carcinomas (p = 0.05). Age at diagnosis was significantly younger in Type 2 exon 11 mutated patients (p = 0.01). On multivariate analysis, BRCA1 exon 11 mutational status was not found to be an independent predictive factor for optimal cytoreduction, platinum response, or survival. Mutations in BRCA1 gene exon 11 seem to predispose women to exclusively develop a Type 2 ovarian cancer at younger age. Exon 11 BRCA1-mutated EOC patients showed distinct clinico-pathological features but similar clinical outcome with respect to sporadic EOC patients.

The cellular ratio of immune tolerance (immunoCRIT) is a definite marker for aggressiveness of solid tumors and may explain tumor dissemination patterns.

The adaptive immune system is involved in tumor establishment and aggressiveness. Tumors of the ovaries, an immune-privileged organ, spread via transceolomic routes and rarely to distant organs. This is contrary to tumors of non-immune privileged organs, which often disseminate hematogenously to distant organs. Epigenetics-based immune cell quantification allows direct comparison of the immune status in benign and malignant tissues and in blood. Here, we introduce the "cellular ratio of immune tolerance" (immunoCRIT) as defined by the ratio of regulatory T cells to total T lymphocytes. The immunoCRIT was analyzed on 273 benign tissue samples of colorectal, bronchial, renal and ovarian origin as well as in 808 samples from primary colorectal, bronchial, mammary and ovarian cancers. ImmunoCRIT is strongly increased in all cancerous tissues and gradually augmented strictly dependent on tumor aggressiveness. In peripheral blood of ovarian cancer patients, immunoCRIT incrementally increases from primary diagnosis to disease recurrence, at which distant metastases frequently occur. We postulate that non-pathological immunoCRIT values observed in peripheral blood of immune privileged ovarian tumor patients are sufficient to prevent hematogenous spread at primary diagnosis. Contrarily, non-immune privileged tumors establish high immunoCRIT in an immunological environment equivalent to the bloodstream and thus spread hematogenously to distant organs. In summary, our data suggest that the immunoCRIT is a powerful marker for tumor aggressiveness and disease dissemination.

DNA methylation analysis as a tool for cell typing.

Cell therapeutic approaches currently lack definitive quality control measures which guarantee safety in clinical applications and create consistent standards for regulatory approval. These approaches rely on isolation, purification and possibly ex vivo manipulation of donor cells. Since such cells are exposed to artificial environments, there is potential for deviations from natural growth processes. The resulting heterogeneity of cell cultures is an inherent problem. Therefore, verification of cell identity and quantification of subpopulations is mandatory. Focusing on cultured human primary cells, we tested whether DNA methylation patterns serve as distinctive cell type markers. We identified panels of cell type specific differentially methylated gene regions (CDMs) which produce unambiguous profiles for these cell types. Applying methylation sensitive single nucleotide primer extension generated binary cell type descriptors ("barcodes") which allow quantification of cell mixtures. Thus, methylation based analytics suggest themselves as promising tools for the characterization and quality control of ex vivo manipulated cells.