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Fendler, Wojciech

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Fendler

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Wojciech

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Fendler, Wojciech
Author's Publications: search.filters.isAuthorOfPublication.d1e2b8b1-a49b-4ef2-bab4-ddb398135068

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    Publication
    Serum microRNAs – potent biomarkers for radiation biodosimetry
    (Impact Journals LLC, 2018) Tomasik, Bartłomiej; Fendler, Wojciech; Chowdhury, Dipanjan
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    Publication
    Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer
    (eLife Sciences Publications, Ltd, 2017) Elias, Kevin; Fendler, Wojciech; Stawiski, Konrad; Fiascone, Stephen; Vitonis, Allison F; Berkowitz, Ross; Frendl, Gyorgy; Konstantinopoulos, Panagiotis; Crum, Christopher; Kedzierska, Magdalena; Cramer, Daniel; Chowdhury, Dipanjan
    Recent studies posit a role for non-coding RNAs in epithelial ovarian cancer (EOC). Combining small RNA sequencing from 179 human serum samples with a neural network analysis produced a miRNA algorithm for diagnosis of EOC (AUC 0.90; 95% CI: 0.81–0.99). The model significantly outperformed CA125 and functioned well regardless of patient age, histology, or stage. Among 454 patients with various diagnoses, the miRNA neural network had 100% specificity for ovarian cancer. After using 325 samples to adapt the neural network to qPCR measurements, the model was validated using 51 independent clinical samples, with a positive predictive value of 91.3% (95% CI: 73.3–97.6%) and negative predictive value of 78.6% (95% CI: 64.2–88.2%). Finally, biologic relevance was tested using in situ hybridization on 30 pre-metastatic lesions, showing intratumoral concentration of relevant miRNAs. These data suggest circulating miRNAs have potential to develop a non-invasive diagnostic test for ovarian cancer.