A combined score of clinical factors and serum proteins can predict time to recurrence in high grade serous ovarian cancer.
OBJECTIVE
To investigate the utility of a combined panel of protein biomarkers and clinical factors to predict recurrence in serous ovarian cancer patients.


METHODS
Women at Augusta University diagnosed with ovarian cancer were enrolled between 2005 and 2015 (n = 71). Blood was drawn at enrollment and follow-up visits. Patient serum collected at remission was analyzed using the SOMAscan array (n = 35) to measure levels of 1129 proteins. The best 26 proteins were confirmed using Luminex assays in the same 35 patients and in an additional 36 patients (ntotal = 71) as orthogonal validation. The data from these 26 proteins was combined with clinical factors using an elastic net multivariate model to find an optimized combination predictive of progression-free survival (PFS).


RESULTS
Of the 26 proteins, Brain Derived Neurotrophic Factor and Platelet Derived Growth Factor molecules were significant for predicting PFS on both univariate and multivariate analyses. All 26 proteins were combined with clinical factors using the elastic net algorithm. Ten components were determined to predict PFS (HR of 6.55, p-value 1.12 × 10-6, CI 2.57-16.71). This model was named the serous high grade ovarian cancer (SHOC) score.


CONCLUSION
The SHOC score can predict patient prognosis in remission. This tool will hopefully lead to early intervention and consolidation therapy strategies in remission patients destined to recur.
['Mysona|David|D|', 'Pyrzak|Adam|A|', 'Purohit|Sharad|S|', 'Zhi|Wenbo|W|', 'Sharma|Ashok|A|', 'Tran|Lynn|L|', 'Tran|Paul|P|', 'Bai|Shan|S|', 'Rungruang|Bunja|B|', 'Ghamande|Sharad|S|', 'She|Jin-Xiong|JX|']
D018284:Cystadenocarcinoma, Serous D065426:Cytoreduction Surgical Procedures D018572:Disease-Free Survival D005260:Female D006801:Humans D008875:Middle Aged D060787:Neoplasm Grading D009363:Neoplasm Proteins D009364:Neoplasm Recurrence, Local D010051:Ovarian Neoplasms D011237:Predictive Value of Tests D000077982:Progression-Free Survival D011446:Prospective Studies
Biomarkers Prognosis Ovarian neoplasm Serum proteomics