Literature DB >> 27718164

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

Priya Samuel1, David Raul Francisco Carter2.   

Abstract

Ovarian cancer causes more than 100,000 deaths globally per year. Despite intensive research efforts, there has been little improvement in the overall survival of patients over the past three decades. Most patients are not diagnosed until the cancer is at an advanced stage, by which time their chances of still being alive after 5 years are appallingly low. Attempts to extend life in these patients have been, for the most part, unsuccessful. This owes partly to the lack of suitable biomarkers for stratifying patients at the molecular level, into responders and non-responders. This would lead to more drugs being shown to have a clinical benefit and being approved for use in subgroups of patients. There is also a desperate need for improved biomarkers for earlier detection of ovarian cancer; if the disease is detected sooner there is a significantly improved outlook. In this review, we outline the evidence that microRNAs are deregulated in ovarian cancer, what this can tell us about tumour progression and how it could be used to improve patient stratification in clinical trials. We also describe the potential for circulating microRNAs, both associated with proteins or carried in vesicles, to be used as diagnostics for earlier detection or as biomarkers for informing clinicians on the prognosis and best treatment of ovarian cancer.

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Year:  2017        PMID: 27718164     DOI: 10.1007/s40291-016-0242-z

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  134 in total

Review 1.  The role of microRNAs in biological processes.

Authors:  Kemal Uğur Tüfekci; Ralph Leo Johan Meuwissen; Sermin Genç
Journal:  Methods Mol Biol       Date:  2014

2.  Staging classification for cancer of the ovary, fallopian tube, and peritoneum.

Authors:  Jaime Prat
Journal:  Int J Gynaecol Obstet       Date:  2013-10-22       Impact factor: 3.561

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Authors:  Joshua T Mendell; Eric N Olson
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

4.  Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer.

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Journal:  J Natl Cancer Inst       Date:  2014-09-30       Impact factor: 13.506

5.  A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer.

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Journal:  Br J Obstet Gynaecol       Date:  1990-10

6.  Frequent downregulation of miR-34 family in human ovarian cancers.

Authors:  David C Corney; Chang-Il Hwang; Andres Matoso; Markus Vogt; Andrea Flesken-Nikitin; Andrew K Godwin; Aparna A Kamat; Anil K Sood; Lora H Ellenson; Heiko Hermeking; Alexander Yu Nikitin
Journal:  Clin Cancer Res       Date:  2010-02-09       Impact factor: 12.531

7.  Exosome-derived miRNAs and ovarian carcinoma progression.

Authors:  Olga Vaksman; Claes Tropé; Ben Davidson; Reuven Reich
Journal:  Carcinogenesis       Date:  2014-06-12       Impact factor: 4.944

8.  A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Authors:  Richard G Moore; D Scott McMeekin; Amy K Brown; Paul DiSilvestro; M Craig Miller; W Jeffrey Allard; Walter Gajewski; Robert Kurman; Robert C Bast; Steven J Skates
Journal:  Gynecol Oncol       Date:  2008-10-12       Impact factor: 5.482

9.  miR-29b expression is associated with disease-free survival in patients with ovarian serous carcinoma.

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Journal:  Int J Gynecol Cancer       Date:  2009-05       Impact factor: 3.437

10.  The BRCA1/2-directed miRNA signature predicts a good prognosis in ovarian cancer patients with wild-type BRCA1/2.

Authors:  Yunyan Gu; Mengmeng Zhang; Fuduan Peng; Lei Fang; Yuanyuan Zhang; Haihai Liang; Wenbin Zhou; Lu Ao; Zheng Guo
Journal:  Oncotarget       Date:  2015-02-10
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  9 in total

Review 1.  Circulating biomarkers in epithelial ovarian cancer diagnosis: from present to future perspective.

Authors:  Martina Montagnana; Marco Benati; Elisa Danese
Journal:  Ann Transl Med       Date:  2017-07

2.  Cisplatin induces the release of extracellular vesicles from ovarian cancer cells that can induce invasiveness and drug resistance in bystander cells.

Authors:  Priya Samuel; Laura Ann Mulcahy; Fiona Furlong; Helen O McCarthy; Susan Ann Brooks; Muller Fabbri; Ryan Charles Pink; David Raul Francisco Carter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-01-05       Impact factor: 6.237

3.  Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer.

Authors:  Kevin M Elias; Wojciech Fendler; Konrad Stawiski; Stephen J Fiascone; Allison F Vitonis; Ross S Berkowitz; Gyorgy Frendl; Panagiotis Konstantinopoulos; Christopher P Crum; Magdalena Kedzierska; Daniel W Cramer; Dipanjan Chowdhury
Journal:  Elife       Date:  2017-10-31       Impact factor: 8.140

4.  The activation of microRNA-520h-associated TGF-β1/c-Myb/Smad7 axis promotes epithelial ovarian cancer progression.

Authors:  Jing Zhang; Wenxue Liu; Fangqian Shen; Xiaoling Ma; Xiaorui Liu; Fuju Tian; Weihong Zeng; Xiaowei Xi; Yi Lin
Journal:  Cell Death Dis       Date:  2018-08-29       Impact factor: 8.469

5.  CAMK2N1/RUNX3 methylation is an independent prognostic biomarker for progression-free and overall survival of platinum-sensitive epithelial ovarian cancer patients.

Authors:  Karolin Heinze; Matthias Rengsberger; Mieczyslaw Gajda; Lars Jansen; Linea Osmers; Leticia Oliveira-Ferrer; Barbara Schmalfeldt; Matthias Dürst; Norman Häfner; Ingo B Runnebaum
Journal:  Clin Epigenetics       Date:  2021-01-22       Impact factor: 6.551

6.  miR-636 inhibits EMT, cell proliferation and cell cycle of ovarian cancer by directly targeting transcription factor Gli2 involved in Hedgehog pathway.

Authors:  Jiong Ma; Chunxia Zhou; Xuejun Chen
Journal:  Cancer Cell Int       Date:  2021-01-20       Impact factor: 5.722

Review 7.  Mitochondrial Dysfunction Pathway Alterations Offer Potential Biomarkers and Therapeutic Targets for Ovarian Cancer.

Authors:  Liang Shen; Xianquan Zhan
Journal:  Oxid Med Cell Longev       Date:  2022-04-20       Impact factor: 7.310

8.  Defining fallopian tube-derived miRNA cancer signatures.

Authors:  Selam B Dejene; Anders W Ohman; Wei Du; Deepinder Randhawa; Anand Bradley; Niraj Yadav; Kevin M Elias; Daniela M Dinulescu; Sunita R Setlur
Journal:  Cancer Med       Date:  2019-09-10       Impact factor: 4.452

9.  miRNA-21 inhibition suppresses the human epithelial ovarian cancer by targeting PTEN signal pathway.

Authors:  Baozhen Hao; Jing Zhang
Journal:  Saudi J Biol Sci       Date:  2019-08-09       Impact factor: 4.219

  9 in total

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