Clinical and Emergent Biomarkers and Their Relationship to the Prognosis of Ovarian Cancer

Oncology
Aminah JatoiEllen L Goode

Abstract

Ovarian cancer is the most lethal gynecological malignancy, but information relevant to prognosis and outcomes remain unknown. Here, we used statistical methods to focus specifically on interactions between candidate prognostic variables. Univariate, multivariate, and elastic net modeling of 42 variables were applied to a cohort of 542 ovarian cancer patients with 393 episodes of cancer recurrence/death. In univariate analyses, overexpression of TFF3, MDM2, and p53 were associated with improved recurrence-free survival. In multivariate analyses adjusted for age, histology, stage, grade, ascites, and residual disease, overexpression of PR appeared to provide a protective effect [hazard ratio for >50% of cells positive, 0.64 (95% confidence interval 0.44-0.94) compared to <1%], and TFF3 showed a nonlinear association. Importantly, we observed no interactions among variables. However, patients with tumors with moderate TFF3 expression were at a marginally increased risk of recurrence, and patients with tumors with high expression were at a similar to slightly lower risk, compared to those with tumors with no TFF3 expression. Although no interactions among variables were observed, this study provides important precedent for seeking...Continue Reading

Citations

Sep 21, 2017·International Journal of Molecular Sciences·Maibritt NørgaardKarina Dalsgaard Sørensen
Oct 5, 2016·Molecular and Clinical Oncology·Friederike HoellenLars C Hanker
May 5, 2017·Pathology Oncology Research : POR·Ahmed El-BalatRuza Arsenic

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