Literature DB >> 25827090

Evaluation of Cell-Free Urine microRNAs Expression for the Use in Diagnosis of Ovarian and Endometrial Cancers. A Pilot Study.

Luděk Záveský1, Eva Jandáková, Radovan Turyna, Lucie Langmeierová, Vít Weinberger, Lenka Záveská Drábková, Martina Hůlková, Aleš Hořínek, Daniela Dušková, Jaroslav Feyereisl, Luboš Minář, Milada Kohoutová.   

Abstract

Among gynaecological cancers, epithelial ovarian cancers are the most deadly cancers while endometrial cancers are the most common diseases. Efforts to establish relevant novel diagnostic, screening and prognostic markers are aimed to help reduce the high level of mortality, chemoresistance and recurrence, particularly in ovarian cancer. MicroRNAs, the class of post-transcriptional regulators, have emerged as the promising diagnostic and prognostic markers associated with various diseased states recently. Urine has been shown as the source of microRNAs several years ago; however, there has been lack of information on urine microRNA expression in ovarian and endometrial cancers till now. In this pilot study, we examined the expression of candidate cell-free urine microRNAs in ovarian cancer and endometrial cancer patients using quantitative real-time PCR. We compared the expression between pre- and post-surgery ovarian cancer samples, and between patients with ovarian and endometrial cancers and healthy controls, within three types of experiments. These experiments evaluated three different isolation methods of urine RNA, representing two supernatant and one exosome fractions of extracellular microRNA. In ovarian cancer, we found miR-92a significantly up-regulated, and miR-106b significantly down-regulated in comparison with control samples. In endometrial cancer, only miR-106b was found down-regulated significantly compared to control samples. Using exosome RNA, no significant de-regulations in microRNAs expression could be found in either of the cancers investigated. We propose that more research should now focus on confirming the diagnostic potential of urine microRNAs in gynaecological cancers using more clinical samples and large-scale expression profiling methods.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25827090     DOI: 10.1007/s12253-015-9914-y

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  27 in total

1.  MiR-96 and miR-183 detection in urine serve as potential tumor markers of urothelial carcinoma: correlation with stage and grade, and comparison with urinary cytology.

Authors:  Yasutoshi Yamada; Hideki Enokida; Satoko Kojima; Kazumori Kawakami; Takeshi Chiyomaru; Shuichi Tatarano; Hirofumi Yoshino; Kazuya Kawahara; Kenryu Nishiyama; Naohiko Seki; Masayuki Nakagawa
Journal:  Cancer Sci       Date:  2010-12-19       Impact factor: 6.716

2.  microRNA expression profiling of endometrial endometrioid adenocarcinomas and serous adenocarcinomas reveals profiles containing shared, unique and differentiating groups of microRNAs.

Authors:  Eric J Devor; Adriann M Hovey; Michael J Goodheart; Shyam Ramachandran; Kimberly K Leslie
Journal:  Oncol Rep       Date:  2011-07-01       Impact factor: 3.906

Review 3.  Ovarian cancer: origin and factors involved in carcinogenesis with potential use in diagnosis, treatment and prognosis of the disease.

Authors:  L Zavesky; N Jancarkova; M Kohoutova
Journal:  Neoplasma       Date:  2011       Impact factor: 2.575

4.  A robust methodology to study urine microRNA as tumor marker: microRNA-126 and microRNA-182 are related to urinary bladder cancer.

Authors:  Merle Hanke; Kai Hoefig; Hartmut Merz; Alfred C Feller; Ingo Kausch; Dieter Jocham; Jens M Warnecke; Georg Sczakiel
Journal:  Urol Oncol       Date:  2009-04-17       Impact factor: 3.498

5.  Changes in microRNA expression levels correlate with clinicopathological features and prognoses in endometrial serous adenocarcinomas.

Authors:  Eri Hiroki; Jun-Ichi Akahira; Fumihiko Suzuki; Satoru Nagase; Kiyoshi Ito; Takashi Suzuki; Hironobu Sasano; Nobuo Yaegashi
Journal:  Cancer Sci       Date:  2009-10-08       Impact factor: 6.716

6.  Elevated levels of circulating microRNA-200 family members correlate with serous epithelial ovarian cancer.

Authors:  Casina W S Kan; Michael A Hahn; Gregory B Gard; Jayne Maidens; Jung Yoon Huh; Deborah J Marsh; Viive M Howell
Journal:  BMC Cancer       Date:  2012-12-28       Impact factor: 4.430

7.  Changes in circulating microRNA levels associated with prostate cancer.

Authors:  R J Bryant; T Pawlowski; J W F Catto; G Marsden; R L Vessella; B Rhees; C Kuslich; T Visakorpi; F C Hamdy
Journal:  Br J Cancer       Date:  2012-01-12       Impact factor: 7.640

8.  Potential Urinary miRNA Biomarker Candidates for the Accurate Detection of Prostate Cancer among Benign Prostatic Hyperplasia Patients.

Authors:  Taha A Haj-Ahmad; Moemen Ak Abdalla; Yousef Haj-Ahmad
Journal:  J Cancer       Date:  2014-01-29       Impact factor: 4.207

9.  Repertoire of microRNAs in epithelial ovarian cancer as determined by next generation sequencing of small RNA cDNA libraries.

Authors:  Stacia K Wyman; Rachael K Parkin; Patrick S Mitchell; Brian R Fritz; Kathy O'Briant; Andrew K Godwin; Nicole Urban; Charles W Drescher; Beatrice S Knudsen; Muneesh Tewari
Journal:  PLoS One       Date:  2009-04-23       Impact factor: 3.240

10.  Downregulation of miR-106b induced breast cancer cell invasion and motility in association with overexpression of matrix metalloproteinase 2.

Authors:  Xiaojian Ni; Tiansong Xia; Yingchun Zhao; Wenbin Zhou; Naping Wu; Xiaoan Liu; Qiang Ding; Xiaoming Zha; Jiahao Sha; Shui Wang
Journal:  Cancer Sci       Date:  2013-12-04       Impact factor: 6.716

View more
  17 in total

Review 1.  Liquid biopsy in patients with pancreatic cancer: Circulating tumor cells and cell-free nucleic acids.

Authors:  Taisuke Imamura; Shuhei Komatsu; Daisuke Ichikawa; Tsutomu Kawaguchi; Mahito Miyamae; Wataru Okajima; Takuma Ohashi; Tomohiro Arita; Hirotaka Konishi; Atsushi Shiozaki; Ryo Morimura; Hisashi Ikoma; Kazuma Okamoto; Eigo Otsuji
Journal:  World J Gastroenterol       Date:  2016-07-07       Impact factor: 5.742

2.  MiR-29a-5p inhibits proliferation and invasion and induces apoptosis in endometrial carcinoma via targeting TPX2.

Authors:  Tiechao Jiang; Dongming Sui; Dong You; Songmei Yao; Lirong Zhang; Yingjian Wang; Jixue Zhao; Yaozhong Zhang
Journal:  Cell Cycle       Date:  2018-07-23       Impact factor: 4.534

3.  MicroRNA-23a inhibits endometrial cancer cell development by targeting SIX1.

Authors:  Hong-Lin Li; Jun-Jie Sun; Hui Ma; Shen-Jia Liu; Na Li; Su-Jie Guo; Yang Shi; Yan-Ying Xu; Zhi-Ying Qi; Yu-Quan Wang; Fang Wang; Rui-Meng Guo; Dong Liu; Feng-Xia Xue
Journal:  Oncol Lett       Date:  2019-07-31       Impact factor: 2.967

4.  Locked nucleic acid inhibits miR-92a-3p in human colorectal cancer, induces apoptosis and inhibits cell proliferation.

Authors:  S Ahmadi; M Sharifi; R Salehi
Journal:  Cancer Gene Ther       Date:  2016-05-20       Impact factor: 5.987

5.  Expression and prognostic value of miR-92a in patients with gastric cancer.

Authors:  Chuanli Ren; Wenshu Wang; Chongxu Han; Hui Chen; Deyuan Fu; Yulin Luo; Hanyu Yao; Daxin Wang; Li Ma; Lin Zhou; Dongsheng Han; Ming Shen
Journal:  Tumour Biol       Date:  2016-01-20

Review 6.  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

7.  Urinary biomarkers for the detection of ovarian cancer: a systematic review.

Authors:  Gemma L Owens; Chloe E Barr; Holly White; Kelechi Njoku; Emma J Crosbie
Journal:  Carcinogenesis       Date:  2022-05-19       Impact factor: 4.741

8.  Urinary cell microRNA-based prognostic classifier for non-muscle invasive bladder cancer.

Authors:  Mercedes Ingelmo-Torres; Juan José Lozano; Laura Izquierdo; Albert Carrion; Meritxell Costa; Lidia Gómez; María José Ribal; Antonio Alcaraz; Lourdes Mengual
Journal:  Oncotarget       Date:  2017-03-14

Review 9.  Liquid Biopsy in Endometrial Cancer: New Opportunities for Personalized Oncology.

Authors:  Laura Muinelo-Romay; Carlos Casas-Arozamena; Miguel Abal
Journal:  Int J Mol Sci       Date:  2018-08-07       Impact factor: 5.923

10.  Non-invasive detection of endometrial cancer by DNA methylation analysis in urine.

Authors:  Rianne van den Helder; Birgit M M Wever; Nienke E van Trommel; Annina P van Splunter; Constantijne H Mom; Jenneke C Kasius; Maaike C G Bleeker; Renske D M Steenbergen
Journal:  Clin Epigenetics       Date:  2020-11-03       Impact factor: 6.551

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.