Literature DB >> 26809719

Current status on microRNAs as biomarkers for ovarian cancer.

Kira Philipsen Prahm1,2, Guy Wayne Novotny1, Claus Høgdall2, Estrid Høgdall1.   

Abstract

Ovarian cancer (OC) is the most lethal gynecological malignancy in the Western world, and has a very poor prognosis, often due to late diagnosis and emergence of chemotherapy resistance. Therefore, there is an essential need for new diagnostic and prognostic markers that can improve and initiate more personalized treatment, eventually improving survival of the patients. MicroRNAs are small, non-coding RNA molecules, that post-transcriptionally regulate gene expression. Several studies have within the last decade shown that microRNAs are deregulated in OC and have potential as diagnostic and prognostic biomarkers for OC. Recently studies have also focused on microRNAs as predictors of chemotherapy responses and their potential as therapeutic targets. However, many of the published studies are difficult to interpret as a whole due to various methods of analysis. Future focus should be aimed at developing a general standardized analytical method, which can limit differences between studies thus allowing easier comparison across them. In addition, validation of studies in independent series that ideally should be histotype-specific is essential to determine the clinical role of microRNAs in different types of OC. In this review we summarize the current knowledge of microRNAs as potential biomarkers for OC, with focus on their clinical relevance.
© 2016 APMIS. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  MicroRNA; biomarkers; ovarian cancer

Mesh:

Substances:

Year:  2016        PMID: 26809719     DOI: 10.1111/apm.12514

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  16 in total

Review 1.  The role of biomarkers in the management of epithelial ovarian cancer.

Authors:  Wei-Lei Yang; Zhen Lu; Robert C Bast
Journal:  Expert Rev Mol Diagn       Date:  2017-05-15       Impact factor: 5.225

Review 2.  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

3.  MicroRNA-654-5p suppresses ovarian cancer development impacting on MYC, WNT and AKT pathways.

Authors:  Blanca Majem; Alfonso Parrilla; Carlos Jiménez; Leticia Suárez-Cabrera; Marta Barber; Andrea Marín; Josep Castellví; Gabriel Tamayo; Gema Moreno-Bueno; Jordi Ponce; Xavier Matias-Guiu; Francesc Alameda; Ignacio Romero; José Luis Sánchez; Asunción Pérez-Benavente; Sebastián Moran; Manel Esteller; Jaume Reventós; Marina Rigau; Antonio Gil-Moreno; Miguel F Segura; Anna Santamaría
Journal:  Oncogene       Date:  2019-07-05       Impact factor: 9.867

4.  A Five-Gene Expression Signature Predicts Clinical Outcome of Ovarian Serous Cystadenocarcinoma.

Authors:  Li-Wei Liu; Qiuhao Zhang; Wenna Guo; Kun Qian; Qiang Wang
Journal:  Biomed Res Int       Date:  2016-07-05       Impact factor: 3.411

5.  A Pilot Study of Circulating MicroRNA-125b as a Diagnostic and Prognostic Biomarker for Epithelial Ovarian Cancer.

Authors:  Tao Zhu; Wen Gao; Xi Chen; Ying Zhang; Meijuan Wu; Ping Zhang; Shihua Wang
Journal:  Int J Gynecol Cancer       Date:  2017-01       Impact factor: 3.437

6.  Constructing an ovarian cancer metastasis index by dissecting medical records.

Authors:  Yanjun Qu; Yanan He; Zhangming Li; Xiuwei Chen; Qian Liu; Shuangshuang Zou; Congcong Kong; Yixiu Liu; Ce Gao; Guangmei Zhang; Wenliang Zhu
Journal:  Oncotarget       Date:  2017-11-06

7.  Evaluation of Prognostic and Predictive Significance of Circulating MicroRNAs in Ovarian Cancer Patients.

Authors:  Ann Rita Halvorsen; Gunnar Kristensen; Andy Embleton; Cybil Adusei; Maria Pilar Barretina-Ginesta; Philip Beale; Åslaug Helland
Journal:  Dis Markers       Date:  2017-02-15       Impact factor: 3.434

8.  Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer.

Authors:  Kira Philipsen Prahm; Claus Høgdall; Mona Aarenstrup Karlsen; Ib Jarle Christensen; Guy Wayne Novotny; Steen Knudsen; Anker Hansen; Peter Buhl Jensen; Thomas Jensen; Mansoor Raza Mirza; Anne Weng Ekmann-Gade; Lotte Nedergaard; Estrid Høgdall
Journal:  PLoS One       Date:  2017-03-23       Impact factor: 3.240

9.  Identification and validation of potential prognostic and predictive miRNAs of epithelial ovarian cancer.

Authors:  Kira Philipsen Prahm; Claus Høgdall; Mona Aarenstrup Karlsen; Ib Jarle Christensen; Guy Wayne Novotny; Estrid Høgdall
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

Review 10.  Involvement of non-coding RNAs in chemotherapy resistance of ovarian cancer.

Authors:  Yang Shao; Hui Li; Ran Du; Jiao Meng; Gong Yang
Journal:  J Cancer       Date:  2018-04-30       Impact factor: 4.207

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