miRNA-based signature for predicting epithelial ovarian cancer recurrence

Loris De Cecco; Marina Bagnoli; Silvana Canevari; Daniela Califano; Francesco Perrone; Sandro Pignata; Delia Mezzanzanica

doi:10.21037/tcr.2017.02.44

miRNA-based signature for predicting epithelial ovarian cancer recurrence

Loris De Cecco, Marina Bagnoli, Silvana Canevari, Daniela Califano, Francesco Perrone, Sandro Pignata, Delia Mezzanzanica

Research output: Contribution to journal › Letter

Original language	English
Pages (from-to)	S232-S234
Journal	Translational Cancer Research
Volume	6
DOIs	https://doi.org/10.21037/tcr.2017.02.44
Publication status	Published - Jan 1 2017

ASJC Scopus subject areas

Oncology
Radiology Nuclear Medicine and imaging
Cancer Research

Access to Document

10.21037/tcr.2017.02.44

Cite this

De Cecco, L., Bagnoli, M., Canevari, S., Califano, D., Perrone, F., Pignata, S., & Mezzanzanica, D. (2017). miRNA-based signature for predicting epithelial ovarian cancer recurrence. Translational Cancer Research, 6, S232-S234. https://doi.org/10.21037/tcr.2017.02.44

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AU - Califano, Daniela

AU - Perrone, Francesco

AU - Pignata, Sandro

AU - Mezzanzanica, Delia

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JO - Translational Cancer Research

JF - Translational Cancer Research

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