Literature DB >> 25722112

Serum microRNA-145 as a novel biomarker in human ovarian cancer.

Huichao Liang1, Zhipeng Jiang, Guie Xie, Yan Lu.   

Abstract

Ovarian cancer is one of the most threatening diseases among women in the world. Current detection methods are expensive and lack accuracy. Thus, a fast, non-invasive biomarker for detecting ovarian cancer is urgently needed. Compelling evidences have been demonstrated that microRNAs, a large family of single-stranded and non-protein-coding RNA molecules, can serve as useful biomarkers in cancer detection. In this study, the relative expressions of microRNA-145 (miR-145) in the serum of patients with ovarian cancer and healthy controls were investigated in an independent study. Subsequently, the diagnosis and prognosis value of miR-145 as a biomarker for ovarian cancer were examined. Furthermore, we performed a meta-analysis to summarize all the results from published studies and this study. Relative expressions of miR-145 were investigated in three independent groups (malignant ovarian cancer, benign ovarian tumor, and healthy controls), comprising a total of 270 participants. Receiver operating characteristic (ROC) curves and overall survival (OS) curves were conducted to compare miR-145 level and clinical characteristics among the three groups. The results showed that relative expressions of the serum miR-145 were significantly down-regulated in patients with malignant ovarian cancer and benign ovarian cancer, compared to healthy controls (P < 0.01). Serum miR-145 levels could discriminate patients with malignant ovarian cancer from healthy controls, with a power area under the curve (AUC) of 0.82 (95 % confidence interval (CI) = 0.77-0.88). Furthermore, patients with low serum levels of miR-145 had a significantly shorter median overall survival rate (hazard ratio (HR) = 1.81, 95 % CI = 1.03-3.17, P = 0.039). The meta-analysis yields good diagnostic performances of miR-145 in various cancers, with an AUC of 0.82 (95 % CI, 0.78-0.85). In conclusion, the present study suggested that miR-145 can potentially serve as an outstanding biomarker for ovarian and other human cancers detection.

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Year:  2015        PMID: 25722112     DOI: 10.1007/s13277-015-3191-y

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  49 in total

1.  MicroRNA expression in zebrafish embryonic development.

Authors:  Erno Wienholds; Wigard P Kloosterman; Eric Miska; Ezequiel Alvarez-Saavedra; Eugene Berezikov; Ewart de Bruijn; H Robert Horvitz; Sakari Kauppinen; Ronald H A Plasterk
Journal:  Science       Date:  2005-05-26       Impact factor: 47.728

2.  MicroRNA expression profiles in serous ovarian carcinoma.

Authors:  Eun Ji Nam; Heejei Yoon; Sang Wun Kim; Hoguen Kim; Young Tae Kim; Jae Hoon Kim; Jae Wook Kim; Sunghoon Kim
Journal:  Clin Cancer Res       Date:  2008-05-01       Impact factor: 12.531

3.  MicroRNA profiles of prostate carcinoma detected by multiplatform microRNA screening.

Authors:  Sven Wach; Elke Nolte; Jaroslaw Szczyrba; Robert Stöhr; Arndt Hartmann; Torben Ørntoft; Lars Dyrskjøt; Elke Eltze; Wolf Wieland; Bastian Keck; Arif B Ekici; Friedrich Grässer; Bernd Wullich
Journal:  Int J Cancer       Date:  2011-05-09       Impact factor: 7.396

4.  MicroRNAs modulate hematopoietic lineage differentiation.

Authors:  Chang-Zheng Chen; Ling Li; Harvey F Lodish; David P Bartel
Journal:  Science       Date:  2003-12-04       Impact factor: 47.728

5.  Evaluation of biomarker panels for early stage ovarian cancer detection and monitoring for disease recurrence.

Authors:  Laura J Havrilesky; Clark M Whitehead; Jennifer M Rubatt; Robert L Cheek; John Groelke; Qin He; Douglas P Malinowski; Timothy J Fischer; Andrew Berchuck
Journal:  Gynecol Oncol       Date:  2008-06-27       Impact factor: 5.482

6.  Cell-free microRNAs in urine as diagnostic and prognostic biomarkers of bladder cancer.

Authors:  Seok Joong Yun; Pildu Jeong; Won-Tae Kim; Tae Hwan Kim; Young-Suk Lee; Phil Hyun Song; Yung-Hyun Choi; Isaac Yi Kim; Sung-Kwon Moon; Wun-Jae Kim
Journal:  Int J Oncol       Date:  2012-09-06       Impact factor: 5.650

7.  Serum circulating microRNA profiling for identification of potential breast cancer biomarkers.

Authors:  Fermín Mar-Aguilar; Jorge A Mendoza-Ramírez; Ismael Malagón-Santiago; Perla K Espino-Silva; Sandra K Santuario-Facio; Pablo Ruiz-Flores; Cristina Rodríguez-Padilla; Diana Reséndez-Pérez
Journal:  Dis Markers       Date:  2013       Impact factor: 3.434

8.  MicroRNA-145 function as a cell growth repressor by directly targeting c-Myc in human ovarian cancer.

Authors:  Wenjing Zhang; Qian Wang; Minglian Yu; Nan Wu; Hui Wang
Journal:  Technol Cancer Res Treat       Date:  2013-08-02

9.  Fertility preservation in young women with epithelial ovarian cancer.

Authors:  Jason D Wright; Monjri Shah; Leny Mathew; William M Burke; Jennifer Culhane; Noah Goldman; Peter B Schiff; Thomas J Herzog
Journal:  Cancer       Date:  2009-09-15       Impact factor: 6.860

Review 10.  Energizing miRNA research: a review of the role of miRNAs in lipid metabolism, with a prediction that miR-103/107 regulates human metabolic pathways.

Authors:  Bernard R Wilfred; Wang-Xia Wang; Peter T Nelson
Journal:  Mol Genet Metab       Date:  2007-05-22       Impact factor: 4.797

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  21 in total

Review 1.  Circulating microRNAs and extracellular vesicles as potential cancer biomarkers: a systematic review.

Authors:  Juntaro Matsuzaki; Takahiro Ochiya
Journal:  Int J Clin Oncol       Date:  2017-02-27       Impact factor: 3.402

2.  The potential value of microRNA-145 for predicting prognosis in patients with ovarian cancer: A protocol for systematic review and meta-analysis.

Authors:  Zhen Chen; Zelan Xiao; Siheng Zeng; Zhiqiang Yan
Journal:  Medicine (Baltimore)       Date:  2021-08-13       Impact factor: 1.817

Review 3.  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

4.  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

5.  Serum microRNA profiling to distinguish papillary thyroid cancer from benign thyroid masses.

Authors:  M Elise R Graham; Robert D Hart; Susan Douglas; Fawaz M Makki; Devanand Pinto; Angela L Butler; Martin Bullock; Matthew H Rigby; Jonathan R B Trites; S Mark Taylor; Rama Singh
Journal:  J Otolaryngol Head Neck Surg       Date:  2015-09-05

Review 6.  Cardiac Resynchronization Therapy Outcomes in Type 2 Diabetic Patients: Role of MicroRNA Changes.

Authors:  Celestino Sardu; Michelangela Barbieri; Maria Rosaria Rizzo; Pasquale Paolisso; Giuseppe Paolisso; Raffaele Marfella
Journal:  J Diabetes Res       Date:  2015-11-09       Impact factor: 4.011

7.  MicroRNA-145-5p inhibits gastric cancer invasiveness through targeting N-cadherin and ZEB2 to suppress epithelial-mesenchymal transition.

Authors:  Shi-Bin Jiang; Xu-Jun He; Ying-Jie Xia; Wei-Jian Hu; Jun-Gang Luo; Jun Zhang; Hou-Quan Tao
Journal:  Onco Targets Ther       Date:  2016-04-18       Impact factor: 4.147

Review 8.  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

Review 9.  MicroRNA: a new and promising potential biomarker for diagnosis and prognosis of ovarian cancer.

Authors:  Manish K Pal; Shyam P Jaiswar; Vinaya N Dwivedi; Amit K Tripathi; Ashish Dwivedi; Pushplata Sankhwar
Journal:  Cancer Biol Med       Date:  2015-12       Impact factor: 4.248

Review 10.  Clinical relevance of circulating cell-free microRNAs in ovarian cancer.

Authors:  Koji Nakamura; Kenjiro Sawada; Akihiko Yoshimura; Yasuto Kinose; Erika Nakatsuka; Tadashi Kimura
Journal:  Mol Cancer       Date:  2016-06-24       Impact factor: 27.401

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