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 › peer-review

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

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10.21037/tcr.2017.02.44

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title = "miRNA-based signature for predicting epithelial ovarian cancer recurrence",

author = "{De Cecco}, Loris and Marina Bagnoli and Silvana Canevari and Daniela Califano and Francesco Perrone and Sandro Pignata and Delia Mezzanzanica",

year = "2017",

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doi = "10.21037/tcr.2017.02.44",

language = "English",

volume = "6",

pages = "S232--S234",

journal = "Translational Cancer Research",

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TY - JOUR

T1 - miRNA-based signature for predicting epithelial ovarian cancer recurrence

AU - De Cecco, Loris

AU - Bagnoli, Marina

AU - Canevari, Silvana

AU - Califano, Daniela

AU - Perrone, Francesco

AU - Pignata, Sandro

AU - Mezzanzanica, Delia

PY - 2017/1/1

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U2 - 10.21037/tcr.2017.02.44

DO - 10.21037/tcr.2017.02.44

M3 - Letter

AN - SCOPUS:85014069134

VL - 6

SP - S232-S234

JO - Translational Cancer Research

JF - Translational Cancer Research

SN - 2218-676X

ER -

miRNA-based signature for predicting epithelial ovarian cancer recurrence

ASJC Scopus subject areas

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