Risk perception, worry, and test acceptance in average-risk women who undergo ovarian cancer screening.

OBJECTIVE: We evaluated baseline knowledge of ovarian cancer risk and perceptions toward ovarian cancer screening (OCS) by initiating the normal risk ovarian screening study. STUDY DESIGN: Average-risk, postmenopausal women were enrolled between 2001 and 2011 as they entered the normal risk ovarian screening study. Participants completed baseline surveys of risk perception, cancer worry (Cancer Worry Scale), anxiety (State-Trait Anxiety Inventory), health and well-being survey (SF-36 HEALTH SURVEY), and acceptability of OCS. RESULTS: Of the 1242 women who were enrolled, 925 women (74.5%) completed surveys. The respondents estimated a mean lifetime risk of ovarian cancer of 29.9%, which is much higher than the actual risk of 1.4% for women in the United States. Only 2.8% of participants correctly estimated their risk; 35.4% of the participants reported their lifetime risk to be ≥50%. Cancer worry was low, with a median Cancer Worry Scale score of 7 of 24. Anxiety was comparable with published norms for women in this age group, with median STAI-State and STAI-Trait scores of 30 and 29 of 80, respectively. Overall, women reported good physical and mental well-being. In terms of OCS acceptability, 97.2% of respondents agreed or strongly agreed that "the benefits of screening outweigh the difficulties." Very few women were reluctant to undergo OCS because of time constraints (1.1%), pain (2.0%), or embarrassment (1.9%). CONCLUSION: Average-risk women who underwent OCS highly overestimated their risk of ovarian cancer. Despite this, participants reported low cancer worry and anxiety. The discrepancy between knowledge of and attitudes toward ovarian cancer risk highlights the need for educational efforts in this area.

A 2-stage ovarian cancer screening strategy using the Risk of Ovarian Cancer Algorithm (ROCA) identifies early-stage incident cancers and demonstrates high positive predictive value.

BACKGROUND: A 2-stage ovarian cancer screening strategy was evaluated that incorporates change of carbohydrate antigen 125 (CA125) levels over time and age to estimate risk of ovarian cancer. Women with high-risk scores were referred for transvaginal ultrasound (TVS). METHODS: A single-arm, prospective study of postmenopausal women was conducted. Participants underwent an annual CA125 blood test. Based on the Risk of Ovarian Cancer Algorithm (ROCA) result, women were triaged to next annual CA125 test (low risk), repeat CA125 test in 3 months (intermediate risk), or TVS and referral to a gynecologic oncologist (high risk). RESULTS: A total of 4051 women participated over 11 years. The average annual rate of referral to a CA125 test in 3 months was 5.8%, and the average annual referral rate to TVS and review by a gynecologic oncologist was 0.9%. Ten women underwent surgery on the basis of TVS, with 4 invasive ovarian cancers (1 with stage IA disease, 2 with stage IC disease, and 1 with stage IIB disease), 2 ovarian tumors of low malignant potential (both stage IA), 1 endometrial cancer (stage I), and 3 benign ovarian tumors, providing a positive predictive value of 40% (95% confidence interval = 12.2%, 73.8%) for detecting invasive ovarian cancer. The specificity was 99.9% (95% confidence interval = 99.7%, 100%). All 4 women with invasive ovarian cancer were enrolled in the study for at least 3 years with low-risk annual CA125 test values prior to rising CA125 levels. CONCLUSIONS: ROCA followed by TVS demonstrated excellent specificity and positive predictive value in a population of US women at average risk for ovarian cancer.

Prevention and early detection of ovarian cancer: mission impossible?

Epithelial ovarian cancer is neither a common nor a rare disease. In the United States, the prevalence of ovarian cancer in postmenopausal women (1 in 2,500) significantly affects strategies for prevention and detection. If chemoprevention for ovarian cancer were provided to all women over the age of 50, side effects would have to be minimal in order to achieve an acceptable ratio of benefit to risk. This ratio might be improved by identifying subsets of individuals at increased risk or by bundling prevention of ovarian cancer with treatment for other more prevalent conditions. Approximately 10% of ovarian cancers are familial and relate to mutations of BRCA1, BRCA2, and mismatch repair genes. More subtle genetic factors are being sought in women with apparently sporadic disease. Use of oral contraceptive agents for as long as 5 years decreases the risk of ovarian cancer in later life by 50%. In one study, fenretinide (4-HPR) delayed development of ovarian cancer in women at increased risk of developing breast and ovarian cancer. Accrual to confirmatory studies has been prohibitively slow and prophylactic oophorectomy is recommended for women at increased genetic risk. Vaccines may have a role for prevention of several different cancers. Breast and ovarian cancers express mucins that could serve as targets for vaccines to prevent both cancers. Early detection of ovarian cancer requires a strategy with high sensitivity (> 75% for stage I disease) and very high specificity (> 99.6%) to achieve a positive predictive value of 10%. Transvaginal sonography (TVS) has achieved these values in some studies, but is limited by the cost of annual screening in a general population. Two-stage strategies that incorporate both serum markers and TVS promise to be more cost-effective. An algorithm has been developed that calculates risk of ovarian cancer based on serial CA125 values and refers patients at highest risks for TVS. Use of the algorithm is currently being evaluated in a trial with 200,000 women in the United Kingdom that will critically test the ability of a two-stage screening strategy to improve survival in ovarian cancer. Whatever the outcome, additional serum markers will be required to detect all patients in an initial phase of screening. More than 30 serum markers have been evaluated alone and in combination with CA125. Recent candidates include: HE4, mesothelin, M-CSF, osteopontin, kallikrein(s) and soluble EGF receptor. Proteomic approaches have been used to define a distinctive pattern of peaks on mass spectroscopy or to identify a limited number of critical markers that can be assayed by more conventional methods. Several groups are placing known markers on multiplex platforms to permit simultaneous assay of multiple markers with very small volumes of serum. Mathematical techniques are being developed to analyze combinations of marker levels to improve sensitivity and specificity. In the future, serum markers should improve the sensitivity of detecting recurrent disease as well as facilitate earlier detection of ovarian cancer.