In the US, ovarian cancer is one of the leading causes of cancer deaths among women and is characterized by a lack of validated screening tools, frequent late-stage diagnosis, and high rates of recurrence.1-2
Prevalence
Ovarian cancer (OC) is often diagnosed at later stages, resulting in poor prognosis for patients.3
55%
diagnosed at late stages (cancer has metastasized)3
31.4%
5-year relative survival at late stages3*
5-year relative survival
at late stages3*
Histology
Epithelial ovarian cancer (EOC) has 5 major histotypes exhibiting a large degree of heterogeneity.4 FRα expression is a prognostic biomarker that is more prevalent in patients with high-grade, serous histology.5,6
Epithelial Ovarian Cancer4
Clear cell carcinoma
Endometrioid carcinoma
Mucinous carcinoma
Low-grade serous carcinoma
High-grade serous carcinoma
Biomarkers
Analyzing biomarkers could help improve disease detection and evaluation of treatment responses.2,4
NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) for Ovarian Cancer/Fallopian Tube Cancer/Primary Peritoneal Cancer V.1.20257*
In the recurrent setting, tumor molecular analysis is recommended to include, as appropriate, tests to identify targeted therapeutics that have tumor-specific or tumor-agnostic benefit, including, but not limited to:7
Genetic Alterations
BRCA1/2
BRAF
RET
NTRK
Protein Expression
HER2
FRα
Other Analyses
Homologous recombination deficiency (HRD) status
Microsatellite instability (MSI)
Mismatch repair (MMR)
Tumor mutational burden (TMB)
PROTEIN BIOMARKER EXPRESSION
FRα and HER2 are protein biomarkers that are expressed in EOCs, with differential expression across histotypes.2,5,6,8-10
Protein Biomarker
FRα
HER2
Expression in OC
≤90%2
~7–39%8
Prevalence Across Histotypes
Most prevalent in patients with HGSC5,6
Differs across histotypes and studies9,10
Expression Consistency in Select Studies
Retained in ~88% of recurrent tumors following chemotherapy5,11
Increased in ~58% of time-lagged biopsies and following OC treatment9*
Biomarker prevalence and expression consistency estimates are based on multiple sources, including small, single-center studies. Data can vary among studies and data sets because of detection methodologies, modalities, and reagents as well as patient sample sizes and/or demographics/characteristics. Some biomarkers may overlap.