Literature DB >> 27485599

Serum-based microRNA signatures in early diagnosis and prognosis prediction of colon cancer.

Petra Vychytilova-Faltejskova1,2, Lenka Radova1, Milana Sachlova2, Zdenka Kosarova1, Katerina Slaba1, Pavel Fabian2, Tomas Grolich1,3, Vladimir Prochazka3, Zdenek Kala1,3, Marek Svoboda1,2, Igor Kiss2, Rostislav Vyzula2, Ondrej Slaby1,2.   

Abstract

Early detection of colorectal cancer is the main prerequisite for successful treatment and reduction of mortality. Circulating microRNAs were previously identified as promising diagnostic, prognostic and predictive biomarkers. The purpose of this study was to identify serum microRNAs enabling early diagnosis and prognosis prediction of colon cancer. In total, serum samples from 427 colon cancer patients and 276 healthy donors were included in three-phase biomarker study. Large-scale microRNA expression profiling was performed using Illumina small RNA sequencing. Diagnostic and prognostic potential of identified microRNAs was validated on independent training and validation sets of samples using RT-qPCR. Fifty-four microRNAs were found to be significantly deregulated in serum of colon cancer patients compared to healthy donors (P < 0.01). A diagnostic four-microRNA signature consisting of miR-23a-3p, miR-27a-3p, miR-142-5p and miR-376c-3p was established (AUC = 0.917), distinguishing colon cancer patients from healthy donors with sensitivity of 89% and specificity of 81% (AUC = 0.922). This panel of microRNAs exhibited high diagnostic performance also when analyzed separately in colon cancer patients in early stages of the disease (T1-4N0M0; AUC = 0.877). Further, a prognostic panel based on the expression of miR-23a-3p and miR-376c-3p independent of TNM stage was established (HR 2.30; 95% CI 1.44-3.66; P < 0.0004). In summary, highly sensitive signatures of circulating microRNAs enabling non-invasive early detection and prognosis prediction of colon cancer were identified.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 27485599     DOI: 10.1093/carcin/bgw078

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  54 in total

1.  MicroRNA-192 inhibits the proliferation, migration and invasion of osteosarcoma cells and promotes apoptosis by targeting matrix metalloproteinase-11.

Authors:  Guowei Shang; Yang Mi; Yingwu Mei; Guanghui Wang; Yadong Wang; Xinjie Li; Yisheng Wang; Yuebai Li; Guoqiang Zhao
Journal:  Oncol Lett       Date:  2018-03-12       Impact factor: 2.967

2.  MicroRNAs as potential liquid biopsy biomarkers in colorectal cancer: A systematic review.

Authors:  Yuji Toiyama; Yoshinaga Okugawa; James Fleshman; C Richard Boland; Ajay Goel
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-05-29       Impact factor: 10.680

Review 3.  Epigenetics of colorectal cancer: emerging circulating diagnostic and prognostic biomarkers.

Authors:  Elisa Danese; Martina Montagnana
Journal:  Ann Transl Med       Date:  2017-07

4.  Discovery and Validation of Circulating Biomarkers of Colorectal Adenoma by High-Depth Small RNA Sequencing.

Authors:  Brian S Roberts; Andrew A Hardigan; Dianna E Moore; Ryne C Ramaker; Angela L Jones; Meredith B Fitz-Gerald; Gregory M Cooper; C Mel Wilcox; Robert P Kimberly; Richard M Myers
Journal:  Clin Cancer Res       Date:  2018-02-28       Impact factor: 12.531

Review 5.  MicroRNA-21: A promising biomarker for the prognosis and diagnosis of non-small cell lung cancer.

Authors:  Wen Zheng; Juanjuan Zhao; Yijing Tao; Mengmeng Guo; Zhou Ya; Chao Chen; Nalin Qin; Jing Zheng; Junmin Luo; Lin Xu
Journal:  Oncol Lett       Date:  2018-06-15       Impact factor: 2.967

6.  Circulating miR-627-5p and miR-199a-5p are promising diagnostic biomarkers of colorectal neoplasia.

Authors:  Dong-Yan Zhao; Lei Zhou; Teng-Fei Yin; Yuan-Chen Zhou; Ge-Yu-Jia Zhou; Qian-Qian Wang; Shu-Kun Yao
Journal:  World J Clin Cases       Date:  2022-06-06       Impact factor: 1.534

7.  MicroRNAs in Cancer: challenges and opportunities in early detection, disease monitoring, and therapeutic agents.

Authors:  Namita Chatterjee; Shushan Rana; Cristina Espinosa-Diez; Sudarshan Anand
Journal:  Curr Pathobiol Rep       Date:  2017-01-19

8.  Predict Colon Cancer by Pairing Plasma miRNAs: Establishment of a Normalizer-Free, Cross-Platform Model.

Authors:  Da Qin; Qingdong Guo; Rui Wei; Si Liu; Shengtao Zhu; Shutian Zhang; Li Min
Journal:  Front Oncol       Date:  2021-04-22       Impact factor: 6.244

9.  A Physically Active Status Affects the Circulating Profile of Cancer-Associated miRNAs.

Authors:  Martina Faraldi; Laura Gerosa; Marta Gomarasca; Veronica Sansoni; Silvia Perego; Ewa Ziemann; Giuseppe Banfi; Giovanni Lombardi
Journal:  Diagnostics (Basel)       Date:  2021-04-30

10.  Circulating microRNA profile in humans and mice with congenital GH deficiency.

Authors:  Tatiana D Saccon; Augusto Schneider; Cindi G Marinho; Allancer D C Nunes; Sarah Noureddine; Joseph Dhahbi; Yury O Nunez Lopez; Gage LeMunyan; Roberto Salvatori; Carla R P Oliveira; Alécia A Oliveira-Santos; Nicolas Musi; Andrzej Bartke; Manuel H Aguiar-Oliveira; Michal M Masternak
Journal:  Aging Cell       Date:  2021-06-12       Impact factor: 9.304

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