Abstract
The stark difference in clinical outcome for patients with ovarian cancer diagnosed at early stages (95% survival at 5 years) versus late stages (27.6% survival at 5 years) has driven a decades-long quest for effective biomarkers that will enable earlier detection of ovarian cancer. Yet despite intense efforts, including the application of modern high throughput technologies including transcriptomics and proteomics, there has been little improvement in performance compared to the gold standard of quantifying serum CA125 immunoreactivity paired with transvaginal ultrasound. This review describes the strategies that have been used for identification of ovarian cancer biomarkers, including the recent introduction of novel bioinformatic approaches. Results obtained using high throughput-based vs. biologically rational approaches for the discovery of diagnostic early detection biomarkers are compared and analyzed for functional enrichment.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 223-230 |
| Number of pages | 8 |
| Journal | Cancer Biomarkers |
| Volume | 8 |
| Issue number | 4-5 |
| DOIs | |
| State | Published - Dec 1 2010 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- biomarkers
- diagnostics
- early detection
- Ovarian cancer
- systems biology
ASJC Scopus subject areas
- Oncology
- Genetics
- Cancer Research
Fingerprint
Dive into the research topics of 'Searching for a system: The quest for ovarian cancer biomarkers'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS