Literature DB >> 23766361

MiRNA landscape in stage I epithelial ovarian cancer defines the histotype specificities.

Enrica Calura1, Robert Fruscio, Lara Paracchini, Eliana Bignotti, Antonella Ravaggi, Paolo Martini, Gabriele Sales, Luca Beltrame, Luca Clivio, Lorenzo Ceppi, Mariacristina Di Marino, Ilaria Fuso Nerini, Laura Zanotti, Duccio Cavalieri, Giorgio Cattoretti, Patrizia Perego, Rodolfo Milani, Dionyssios Katsaros, Germana Tognon, Enrico Sartori, Sergio Pecorelli, Costantino Mangioni, Maurizio D'Incalci, Chiara Romualdi, Sergio Marchini.   

Abstract

PURPOSE: Epithelial ovarian cancer (EOC) is one of the most lethal gynecologic diseases, with survival rate virtually unchanged for the past 30 years. EOC comprises different histotypes with molecular and clinical heterogeneity, but up till now the present gold standard platinum-based treatment has been conducted without any patient stratification. The aim of the present study is to generate microRNA (miRNA) profiles characteristic of each stage I EOC histotype, to identify subtype-specific biomarkers to improve our understanding underlying the tumor mechanisms. EXPERIMENTAL
DESIGN: A collection of 257 snap-frozen stage I EOC tumor biopsies was gathered together from three tumor tissue collections and stratified into independent training (n = 183) and validation sets (n = 74). Microarray and quantitative real-time PCR (qRT-PCR) were used to generate and validate the histotype-specific markers. A novel dedicated resampling inferential strategy was developed and applied to identify the highest reproducible results. mRNA and miRNA profiles were integrated to identify novel regulatory circuits.
RESULTS: Robust miRNA markers for clear cell and mucinous histotypes were found. Specifically, the clear cell histotype is characterized by a five-fold (log scale) higher expression of miR-30a and miR-30a*, whereas mucinous histotype has five-fold (log scale) higher levels of miR-192/194. Furthermore, a mucinous-specific regulatory loop involving miR-192/194 cluster and a differential regulation of E2F3 in clear cell histotype were identified.
CONCLUSIONS: Our findings showed that stage I EOC histotypes have their own characteristic miRNA expression and specific regulatory circuits. ©2013 AACR.

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Year:  2013        PMID: 23766361     DOI: 10.1158/1078-0432.CCR-13-0360

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  23 in total

Review 1.  MicroRNAs in gynecological cancers: Small molecules with big implications.

Authors:  Sanjeev K Srivastava; Aamir Ahmad; Haseeb Zubair; Orlandric Miree; Seema Singh; Rodney P Rocconi; Jennifer Scalici; Ajay P Singh
Journal:  Cancer Lett       Date:  2017-05-24       Impact factor: 8.679

2.  Wiring miRNAs to pathways: a topological approach to integrate miRNA and mRNA expression profiles.

Authors:  Enrica Calura; Paolo Martini; Gabriele Sales; Luca Beltrame; Giovanna Chiorino; Maurizio D'Incalci; Sergio Marchini; Chiara Romualdi
Journal:  Nucleic Acids Res       Date:  2014-05-06       Impact factor: 16.971

Review 3.  Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma.

Authors:  Marta Szajnik; Małgorzata Czystowska-Kuźmicz; Esther Elishaev; Theresa L Whiteside
Journal:  Expert Rev Mol Diagn       Date:  2016-06-23       Impact factor: 5.225

Review 4.  The Diagnostic and Prognostic Potential of microRNAs in Epithelial Ovarian Carcinoma.

Authors:  Priya Samuel; David Raul Francisco Carter
Journal:  Mol Diagn Ther       Date:  2017-02       Impact factor: 4.074

5.  Analysis of differential miRNA expression in primary tumor and stroma of colorectal cancer patients.

Authors:  Giuseppina Della Vittoria Scarpati; Enrica Calura; Mariacristina Di Marino; Chiara Romualdi; Luca Beltrame; Umberto Malapelle; Giancarlo Troncone; Alfonso De Stefano; Stefano Pepe; Sabino De Placido; Maurizio D'Incalci; Sergio Marchini; Chiara Carlomagno
Journal:  Biomed Res Int       Date:  2014-07-10       Impact factor: 3.411

Review 6.  The role of microRNAs in ovarian cancer.

Authors:  Yasuto Kinose; Kenjiro Sawada; Koji Nakamura; Tadashi Kimura
Journal:  Biomed Res Int       Date:  2014-09-10       Impact factor: 3.411

Review 7.  Current Implications of microRNAs in Genome Stability and Stress Responses of Ovarian Cancer.

Authors:  Arkadiusz Gajek; Patrycja Gralewska; Agnieszka Marczak; Aneta Rogalska
Journal:  Cancers (Basel)       Date:  2021-05-29       Impact factor: 6.639

Review 8.  MicroRNAs in ovarian function and disorders.

Authors:  Ying Li; Ying Fang; Ying Liu; Xiaokui Yang
Journal:  J Ovarian Res       Date:  2015-08-01       Impact factor: 4.234

Review 9.  Research Progress of MicroRNA in Early Detection of Ovarian Cancer.

Authors:  Ze-Hua Wang; Cong-Jian Xu
Journal:  Chin Med J (Engl)       Date:  2015-12-20       Impact factor: 2.628

10.  MicroRNA Gene Expression Signature Driven by miR-9 Overexpression in Ovarian Clear Cell Carcinoma.

Authors:  Nozomu Yanaihara; Yukiko Noguchi; Misato Saito; Masataka Takenaka; Satoshi Takakura; Kyosuke Yamada; Aikou Okamoto
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

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