Literature DB >> 27649770

The emerging role of non-coding circulating RNA as a biomarker in renal cell carcinoma.

Jörg Ellinger1, Heidrun Gevensleben2, Stefan C Müller1, Dimo Dietrich2,3.   

Abstract

INTRODUCTION: Bodily fluids like serum and plasma contain significant amounts of tumor-derived circulating cell-free RNA, which holds the potential to serve as diagnostic biomarker. Consequently, liquid biopsies comprising circulating cell-free RNA might help to facilitate personalized treatment strategies for patients with renal cell carcinoma (RCC). Areas covered: The present review provides a summary of the literature obtained by a PubMed search and covers the current knowledge on circulating non-coding cell-free RNA in patients with RCC. Expert commentary: Altered circulating microRNA and long non-coding RNAs signatures allow for the discrimination of patients with RCC and healthy individuals. On the other hand, little is known about non-coding RNA expression in benign tumors. Cell-free microRNA expression levels may help to identify patients at risk for disease recurrence. However, accurate determination of cell-free RNAs is methodologically challenging and currently no biomarker candidate has reached a sufficient level of clinical validation. Thus, short-term implementation of cell-free circulating microRNA into clinical routine seems unlikely.

Entities:  

Keywords:  RNA; Renal cell carcinoma; biomarker; bodily fluids; circulating cell-free RNA; lncRNA; long non-coding RNA; miRNA; microRNA; ncRNA; non-coding RNA; plasma; serum

Mesh:

Substances:

Year:  2016        PMID: 27649770     DOI: 10.1080/14737159.2016.1239531

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  8 in total

1.  Long non-coding RNA HOTTIP affects renal cell carcinoma progression by regulating autophagy via the PI3K/Akt/Atg13 signaling pathway.

Authors:  Yang Su; Jingxiao Lu; Xianguo Chen; Chaozhao Liang; Pengcheng Luo; Cong Qin; Jie Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2018-12-03       Impact factor: 4.553

2.  Identification of miR-21-5p and miR-210-3p serum levels as biomarkers for patients with papillary renal cell carcinoma: a multicenter analysis.

Authors:  Charis Kalogirou; Jörg Ellinger; Glen Kristiansen; Georgios Hatzichristodoulou; Hubert Kübler; Burkhard Kneitz; Jonas Busch; Annika Fendler
Journal:  Transl Androl Urol       Date:  2020-06

3.  Analysis of circulating non-coding RNAs in a non-invasive and cost-effective manner.

Authors:  Yu-Min Wang; Michael Patrick Trinh; Yongzan Zheng; Kaizhu Guo; Luis A Jimenez; Wenwan Zhong
Journal:  Trends Analyt Chem       Date:  2019-07-05       Impact factor: 12.296

Review 4.  Circulating Tumor Cells for the Management of Renal Cell Carcinoma.

Authors:  Lucile Broncy; Patrizia Paterlini-Bréchot
Journal:  Diagnostics (Basel)       Date:  2018-09-03

5.  LncRNA SNHG15: A new budding star in human cancers.

Authors:  You Shuai; Zhonghua Ma; Jianwei Lu; Jifeng Feng
Journal:  Cell Prolif       Date:  2019-11-27       Impact factor: 6.831

Review 6.  Transforming Growth Factor-β and Long Non-coding RNA in Renal Inflammation and Fibrosis.

Authors:  Yue-Yu Gu; Jing-Yun Dou; Xiao-Ru Huang; Xu-Sheng Liu; Hui-Yao Lan
Journal:  Front Physiol       Date:  2021-05-13       Impact factor: 4.566

7.  Serum miR-122-5p and miR-206 expression: non-invasive prognostic biomarkers for renal cell carcinoma.

Authors:  Frauke G Heinemann; Yuri Tolkach; Mario Deng; Doris Schmidt; Sven Perner; Glen Kristiansen; Stefan C Müller; Jörg Ellinger
Journal:  Clin Epigenetics       Date:  2018-01-23       Impact factor: 6.551

8.  miR-224/miR-141 ratio as a novel diagnostic biomarker in renal cell carcinoma.

Authors:  Xuanyu Chen; Ning Lou; Anming Ruan; Bin Qiu; Yun Yan; Xuegang Wang; Quansheng Du; Hailong Ruan; Weiwei Han; Haibin Wei; Hongmei Yang; Xiaoping Zhang
Journal:  Oncol Lett       Date:  2018-06-01       Impact factor: 2.967

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.