Literature DB >> 26659000

microRNA and Ovarian Cancer.

Ream Langhe1.   

Abstract

Ovarian cancer is the fifth most common cancer in women and the leading cause of death from gynaecological malignancy in the Western world. The majority of ovarian cancers are diagnosed at an advanced stage and this is due to lack of a reliable screening test and the vagueness of symptoms. Early diagnosis is key as the 5-year survival rate for women diagnosed with late-stage disease is less than 20% compared to up to 90% for women diagnosed at early-stage disease. Early-stage disease that has a good prognosis cannot be detected easily. Currently, no standardized reliable screening test exists. Lack of a reliable screening test is due to the fact that the underlying molecular biology of oncogenesis in ovarian cancer is a complex pathway. Once the molecular biology of the ovarian cancer is known, more reliable and sensitive screening tests can be established and a better and effective treatment can be found. Current diagnostic tools include imaging and CA125 have their limitations in terms of accuracy. There is a strong need for prognostic and predictive markers to diagnose it early and to help optimize and personalize treatment. microRNAs were recently found to be involved in the pathophysiology of all types of analyzed human cancers mainly by aberrant gene expression. microRNA profiling has allowed the identification of signatures associated with diagnosis, prognosis, and response to treatment of human tumors. Several studies showed that microRNAs are deregulated in ovarian cancer. This chapter reviews the role of microRNAs in ovarian cancer and their utility of microRNAs as diagnostic and prognostic markers for ovarian cancer.

Entities:  

Keywords:  Biomarkers; Ovarian cancer; microRNA

Mesh:

Substances:

Year:  2015        PMID: 26659000     DOI: 10.1007/978-3-319-23730-5_8

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  11 in total

1.  Effects of let-7c on the proliferation of ovarian carcinoma cells by targeted regulation of CDC25a gene expression.

Authors:  Wei Zhang; Qingru Zeng; Zhenying Ban; Jing Cao; Tianjiao Chu; Dongmei Lei; Chi Liu; Wentao Guo; Xianxu Zeng
Journal:  Oncol Lett       Date:  2018-08-20       Impact factor: 2.967

2.  miR-1224-5p inhibits the proliferation and invasion of ovarian cancer via targeting SND1.

Authors:  Junrong Wang; Yubo Hu; Cong Ye; Junbao Liu
Journal:  Hum Cell       Date:  2020-05-14       Impact factor: 4.174

3.  MicroRNA-23a depletion promotes apoptosis of ovarian cancer stem cell and inhibits cell migration by targeting DLG2.

Authors:  Ru-Jin Zhuang; Xiao-Xu Bai; Wei Liu
Journal:  Cancer Biol Ther       Date:  2019-03-12       Impact factor: 4.742

4.  MiR-506-3p suppresses the proliferation of ovarian cancer cells by negatively regulating the expression of MTMR6.

Authors:  Yuan Wang; Xia Lei; Chengying Gao; Yanxia Xue; Xiaolin Li; Haiying Wang; Yan Feng
Journal:  J Biosci       Date:  2019-12       Impact factor: 1.826

5.  Panel of seven long noncoding RNA as a candidate prognostic biomarker for ovarian cancer.

Authors:  Xiaohui Zhan; Chuanpeng Dong; Gang Liu; Yixue Li; Lei Liu
Journal:  Onco Targets Ther       Date:  2017-06-01       Impact factor: 4.147

6.  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

7.  MicroRNA-16 inhibits migration and invasion via regulation of the Wnt/β-catenin signaling pathway in ovarian cancer.

Authors:  Nan Li; Liang Yang; Yanan Sun; Xiaohua Wu
Journal:  Oncol Lett       Date:  2019-01-14       Impact factor: 2.967

8.  Five serum microRNAs for detection and predicting of ovarian cancer.

Authors:  Weiwei Wang; Li-Rong Wu; Chunyu Li; Xin Zhou; Ping Liu; Xuemei Jia; Yan Chen; Wei Zhu
Journal:  Eur J Obstet Gynecol Reprod Biol X       Date:  2019-04-06

9.  MiR-124 inhibits invasion and induces apoptosis of ovarian cancer cells by targeting programmed cell death 6.

Authors:  Li Yuan; Shaolin Li; Qi Zhou; Dong Wang; Dongling Zou; Jin Shu; Yu Huang
Journal:  Oncol Lett       Date:  2017-10-10       Impact factor: 2.967

10.  Identification of core aberrantly expressed microRNAs in serous ovarian carcinoma.

Authors:  Steven F Chen; Zheng Liu; Shyambabu Chaurasiya; Thanh H Dellinger; Jianming Lu; Xiwei Wu; Hanjun Qin; Jinhui Wang; Yuman Fong; Yate-Ching Yuan
Journal:  Oncotarget       Date:  2018-04-17
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