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| Content Provider | PubMed Central |
|---|---|
| Author | Varga, Dominic Deniz, Miriam Schwentner, Lukas Lisa, Wiesmüller |
| Copyright Year | 2013 |
| Abstract | Ovarian cancer is the fifth most common female cancer in the Western world, and the deadliest gynecological malignancy. The overall poor prognosis for ovarian cancer patients is a consequence of aggressive biological behavior and a lack of adequate diagnostic tools for early detection. In fact, approximately 70% of all patients with epithelial ovarian cancer are diagnosed at advanced tumor stages. These facts highlight a significant clinical need for reliable and accurate detection methods for ovarian cancer, especially for patients at high risk. Because CA125 has not achieved satisfactory sensitivity and specificity in detecting ovarian cancer, numerous efforts, including those based on single and combined molecule detection and “omics” approaches, have been made to identify new biomarkers. Intriguingly, more than 10% of all ovarian cancer cases are of familial origin. BRCA1 and BRCA2 germline mutations are the most common genetic defects underlying hereditary ovarian cancer, which is why ovarian cancer risk assessment in developed countries, aside from pedigree analysis, relies on genetic testing of BRCA1 and BRCA2. Because not only BRCA1 and BRCA2 but also other susceptibility genes are tightly linked with ovarian cancer-specific DNA repair defects, another possible approach for defining susceptibility might be patient cell-based functional testing, a concept for which support came from a recent case-control study. This principle would be applicable to risk assessment and the prediction of responsiveness to conventional regimens involving platinum-based drugs and targeted therapies involving poly (ADP-ribose) polymerase (PARP) inhibitors. |
| Related Links | http://dx.doi.org/10.3390/ijms14010640 |
| Ending Page | 673 |
| Page Count | 34 |
| Starting Page | 640 |
| File Format | |
| ISSN | 14220067 |
| e-ISSN | 14220067 |
| Journal | International Journal of Molecular Sciences |
| Issue Number | 1 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2013-01-01 |
| Access Restriction | Open |
| Rights Holder | MDPI |
| Subject Keyword | Physical and Theoretical Chemistry Inorganic Chemistry Organic Chemistry Spectroscopy Molecular Biology Catalysis Computer Science Applications Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Spectroscopy Organic Chemistry Medicine Molecular Biology Physical and Theoretical Chemistry Catalysis Inorganic Chemistry Computer Science Applications |
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