Feasibility, patient compliance and acceptability of ovarian cancer surveillance using two serum biomarkers and Risk of Ovarian Cancer Algorithm compared to standard ultrasound and CA 125 among women with BRCA mutations

Autoantibodies, antigen-autoantibody complexes and antigens complement CA125 for early detection of ovarian cancer

BACKGROUND

Multiple antigens, autoantibodies (AAb), and antigen-autoantibody (Ag-AAb) complexes were compared for their ability to complement CA125 for early detection of ovarian cancer.

METHODS

Twenty six biomarkers were measured in a single panel of sera from women with early stage (I-II) ovarian cancers (n = 64), late stage (III-IV) ovarian cancers (186), benign pelvic masses (200) and from healthy controls (502), and then split randomly (50:50) into a training set to identify the most promising classifier and a validation set to compare its performance to CA125 alone.

RESULTS

Eight biomarkers detected ≥ 8% of early stage cases at 98% specificity. A four-biomarker panel including CA125, HE4, HE4 Ag-AAb and osteopontin detected 75% of early stage cancers in the validation set from among healthy controls compared to 62% with CA125 alone (p = 0.003) at 98% specificity. The same panel increased sensitivity for distinguishing early-stage ovarian cancers from benign pelvic masses by 25% (p = 0.0004) at 95% specificity. From 21 autoantibody candidates, 3 AAb (anti-p53, anti-CTAG1 and annt-Il-8) detected 22% of early stage ovarian cancers, potentially lengthening lead time prior to diagnosis.

CONCLUSION

A four biomarker panel achieved greater sensitivity at the same specificity for early detection of ovarian cancer than CA125 alone.

Ovarian cancer surveillance in the clinical follow up of women with known BRCA1 or BRCA2 pathogenic variants in a large health care system

OBJECTIVE

To assess CA 125 and transvaginal ultrasound surveillance in women with BRCA1 or BRCA2 pathogenic variants in a pragmatic clinical setting with>1 year follow up.

METHODS

Retrospective cohort study in a large integrated health care system of women identified from 1/1/2003 to 12/31/2017 with a BRCA1 or BRCA2 pathogenic variant with at least one intact ovary. Demographic and clinical data were collected from date of genetic testing until oophorectomy, an ovarian cancer diagnosis, or 7/1/2019. Primary outcome was frequency and findings of CA 125 tests and ultrasounds performed; secondary outcome was epithelial ovarian cancers diagnosed.

RESULTS

There were 1418 women, age ≥ 30 years with a BRCA1 or BRCA2 pathogenic variant with at least one intact ovary. Of the total of 1683 ultrasounds and 2437 CA 125 tests done, 1022 ultrasounds and 1709 CA 125 tests were performed for surveillance in 771 women followed >1 year. Of these women 241 (31%) women had no surveillance, and 530 (69%) women underwent any surveillance. Only 108 (20%) underwent regular surveillance. The number who underwent regular surveillance declined each year. Twenty-one women underwent surveillance indicated surgery with only 2 ovarian cancers found by surveillance.

CONCLUSIONS

Many women with BRCA1 or BRCA2 pathogenic variants undergo ultrasound and CA 125 surveillance testing but abnormal surveillance testing led to diagnosis of ovarian cancer in only two cases. These findings question the use of CA 125 and ultrasound surveillance in the clinical setting for ovarian cancer detection in women with BRCA1 or BRCA2 pathogenic variants.

Automated Assay of a Four-Protein Biomarker Panel for Improved Detection of Ovarian Cancer

Simple Summary

The survival of patients diagnosed with ovarian cancer depends largely on the extent of the disease upon diagnosis. When confined to the ovaries, patients’ 10-year survival is more than 70%. This drastically drops to less than 5% when patients are diagnosed with far-advanced disease. Unfortunately, more than 80% of patients are diagnosed at advanced stage due to the lack of test for early detection. We report the development of a blood test measuring four proteins (macrophage migration inhibitory factor, osteopontin, prolactin and cancer antigen 125), which can distinguish ovarian cancer samples, even early-stage disease, from healthy samples in the population tested. This study is another step towards the application of a useful test for early detection of ovarian cancer that is both highly accurate and specific.

Abstract

Background: Mortality from ovarian cancer remains high due to the lack of methods for early detection. The difficulty lies in the low prevalence of the disease necessitating a significantly high specificity and positive-predictive value (PPV) to avoid unneeded and invasive intervention. Currently, cancer antigen- 125 (CA-125) is the most commonly used biomarker for the early detection of ovarian cancer. In this study we determine the value of combining macrophage migration inhibitory factor (MIF), osteopontin (OPN), and prolactin (PROL) with CA-125 in the detection of ovarian cancer serum samples from healthy controls. Materials and Methods: A total of 432 serum samples were included in this study. 153 samples were from ovarian cancer patients and 279 samples were from age-matched healthy controls. The four proteins were quantified using a fully automated, multi-analyte immunoassay. The serum samples were divided into training and testing datasets and analyzed using four classification models to calculate accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: The four-protein biomarker panel yielded an average accuracy of 91% compared to 85% using CA-125 alone across four classification models (p = 3.224 × 10⁻⁹). Further, in our cohort, the four-protein biomarker panel demonstrated a higher sensitivity (median of 76%), specificity (median of 98%), PPV (median of 91.5%), and NPV (median of 92%), compared to CA-125 alone. The performance of the four-protein biomarker remained better than CA-125 alone even in experiments comparing early stage (Stage I and Stage II) ovarian cancer to healthy controls. Conclusions: Combining MIF, OPN, PROL, and CA-125 can better differentiate ovarian cancer from healthy controls compared to CA-125 alone.

Biomarkers and Strategies for Early Detection of Ovarian Cancer

Early detection of ovarian cancer remains an important unmet medical need. Effective screening could reduce mortality by 10%-30%. Used individually, neither serum CA125 nor transvaginal sonography (TVS) is sufficiently sensitive or specific. Two-stage strategies have proven more effective, where a significant rise above a woman's baseline CA125 prompts TVS and an abnormal sonogram prompts surgery. Two major screening trials have documented that this strategy has adequate specificity, but sensitivity for early-stage (I-II) disease must improve to have a greater impact on mortality. To improve the first stage, different panels of protein biomarkers have detected cases missed by CA125. Autoantibodies against TP53 have detected 20% of early-stage ovarian cancers 8 months before elevation of CA125 and 22 months before clinical diagnosis. Panels of autoantibodies and antigen-autoantibody complexes are being evaluated with the goal of detecting >90% of early-stage ovarian cancers, alone or in combination with CA125, while maintaining 98% specificity in control subjects. Other biomarkers, including micro-RNAs, ctDNA, methylated DNA, and combinations of ctDNA alterations, are being tested to provide an optimal first-stage test. New technologies are also being developed with greater sensitivity than TVS to image small volumes of tumor.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible."

Development of a longitudinal two-biomarker algorithm for early detection of ovarian cancer in women with BRCA mutations

OBJECTIVE

To develop a longitudinal algorithm combining two biomarkers, CA125 and HE4, for early detection of ovarian cancer in women with BRCA mutations.

METHODS

Women with BRCA mutations and intact ovaries were invited to participate in a novel ovarian cancer early detection prospective study. The Risk of Ovarian Cancer Algorithm (ROCA) identifying significant increases above each woman's baseline in serum CA125 and HE4 was performed every four months; abnormal risks triggered a subsequent ultrasound. The study first used a risk algorithm for only CA125, a second algorithm was developed for HE4 and finally a risk algorithm combining the two biomarkers was implemented. The ROCA strategy was compared to Standard of Care (SOC) surveillance strategy.

RESULTS

A total of 149 women enrolled in the ROCA arm while 43 women enrolled in the SOC arm. Abnormal scores were found in 24% of ROCA CA125 tests, 16% if ROCA CA125 or the novel ROCA HE4 were used independently and reduced to 8% using the new two-marker ROCA, significantly lower than the 15% of abnormal tests seen in the SOC arm (p = 0.042). The average false positive rate among women without ovarian cancer for two-marker ROCA for referral to ultrasound was 6.6% (specificity 93.4%), and for the two-marker ROCA plus ultrasound for referral to surgical consultation was 1.7% (specificity 98.3%).

CONCLUSION

A newly developed two-marker ROCA administered every 4 months had lower call-back rates than SOC surveillance. Having established high specificity, the two-marker ROCA score deserves further evaluation for sensitivity in a larger trial.