A three protein signature fails to externally validate as a biomarker to predict surgical outcome in high-grade epithelial ovarian cancer

Amy Hawarden, Marcus Price, Bryn Russell, Godfrey Wilson, Laura Farrelly, Andrew Embleton-Thirsk, Mahesh Parmar and Richard Edmondson

PLOS ONE, 2023, vol. 18, issue 3, 1-10

Abstract: Introduction: For patients with advanced epithelial ovarian cancer, complete surgical cytoreduction remains the strongest predictor of outcome. However, identifying patients who are likely to benefit from such surgery remains elusive and to date few surgical outcome prediction tools have been validated. Here we attempted to externally validate a promising three protein signature, which had previously shown strong association with suboptimal surgical debulking (AUC 0.89, accuracy 92.8%), (Riester, M., et al., (2014)). Methods: 238 high-grade epithelial ovarian cancer samples were collected from patients who participated in a large multicentre trial (ICON5). Samples were collected at the time of initial surgery and before randomisation. Surgical outcome data were collated from prospectively collected study records. Immunohistochemical scores were generated by two independent observers for the three proteins in the original signature (POSTN, CXCL14 and pSmad2/3). Predictive values were generated for individual and combination protein signatures. Results: When assessed individually, none of the proteins showed any evidence of predictive affinity for suboptimal surgical outcome in our cohort (AUC POSTN 0.55, pSmad 2/3 0.53, CXCL 14 0.62). The combined signature again showed poor predictive ability with an AUC 0.58. Conclusions: Despite showing original promise, when this protein signature is applied to a large external cohort, it is unable to accurately predict surgical outcomes. This could be attributed to overfitting of the original model, or differences in surgical practice between cohorts.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0281798

DOI: 10.1371/journal.pone.0281798

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