Literature DB >> 26797671

Blood-based biomarkers for diagnosis, prognosis and treatment of colorectal cancer.

Ebru E Yörüker1, Stefan Holdenrieder2, Ugur Gezer3.   

Abstract

The global burden of colorectal cancer (CRC)-associated morbidity and mortality is increasing, in part due to a lack of early detection. Direct structural examination techniques, such as colonoscopy, are invasive and can therefore affect the willingness of patients to participate in screening. Recently, the use of "liquid biopsy" has gained considerable attention as a novel source of biomarkers. Blood-based biomarkers could prove to be practical tools for CRC detection, as the monitoring of biomarkers in biological fluids offers many advantages, including minimal invasiveness and easy accessibility. Biomarkers with high specificity and sensitivity can enable the detection of CRC at an early stage, thereby improving prognosis, prediction of treatment response, and recurrence risk. In this review, we summarize that the biomarkers currently thought to have potential for the early detection and monitoring of CRC, including circulating tumor cells, DNA, RNA and proteins.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood-based biomarkers; Cell-free DNA; Circulating tumor cells; Colorectal cancer; DNA methylation; Histone methylation; Liquid biopsy; Point mutations

Mesh:

Substances:

Year:  2016        PMID: 26797671     DOI: 10.1016/j.cca.2016.01.016

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  28 in total

1.  Serum Cyr61 as a potential biomarker for diagnosis of colorectal cancer.

Authors:  Y F Song; Z B Xu; X J Zhu; X Tao; J L Liu; F L Gao; C L Wu; B Song; Q Lin
Journal:  Clin Transl Oncol       Date:  2016-10-14       Impact factor: 3.405

2.  Application of Multiplex Bisulfite PCR-Ligase Detection Reaction-Real-Time Quantitative PCR Assay in Interrogating Bioinformatically Identified, Blood-Based Methylation Markers for Colorectal Cancer.

Authors:  Manny D Bacolod; Aashiq H Mirza; Jianmin Huang; Sarah F Giardina; Philip B Feinberg; Steven A Soper; Francis Barany
Journal:  J Mol Diagn       Date:  2020-05-12       Impact factor: 5.568

3.  Metformin-loaded lecithin nanoparticles induce colorectal cancer cytotoxicity via epigenetic modulation of noncoding RNAs.

Authors:  Ahmed A Abd-Rabou; Ahmed M Abdelaziz; Olfat G Shaker; Ghada Ayeldeen
Journal:  Mol Biol Rep       Date:  2021-09-01       Impact factor: 2.316

4.  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

5.  Assessment of clinically related outcomes and biomarker analysis for translational integration in colorectal cancer (ACROBATICC): study protocol for a population-based, consecutive cohort of surgically treated colorectal cancers and resected colorectal liver metastasis.

Authors:  Kjetil Søreide; Martin M Watson; Dordi Lea; Oddmund Nordgård; Jon Arne Søreide; Hanne R Hagland
Journal:  J Transl Med       Date:  2016-06-29       Impact factor: 5.531

Review 6.  Colorectal Cancer Blood-Based Biomarkers.

Authors:  Nina Hauptman; Damjan Glavač
Journal:  Gastroenterol Res Pract       Date:  2017-09-25       Impact factor: 2.260

7.  Expression of guanylyl cyclase C in tissue samples and the circulation of rectal cancer patients.

Authors:  Yong Liu; Guoping Cheng; Jun Qian; HaiXing Ju; YuPing Zhu; Meucci Stefano; Ulrich Keilholz; DeChuan Li
Journal:  Oncotarget       Date:  2017-06-13

8.  E-cadherin: A potential biomarker of colorectal cancer prognosis.

Authors:  Niki Christou; Aurélie Perraud; Sabrina Blondy; Marie-Odile Jauberteau; Serge Battu; Muriel Mathonnet
Journal:  Oncol Lett       Date:  2017-04-20       Impact factor: 2.967

9.  Circulating mutational portrait of cancer: manifestation of aggressive clonal events in both early and late stages.

Authors:  Meng Yang; Umit Topaloglu; W Jeffrey Petty; Matthew Pagni; Kristie L Foley; Stefan C Grant; Mac Robinson; Rhonda L Bitting; Alexandra Thomas; Angela T Alistar; Rodwige J Desnoyers; Michael Goodman; Carol Albright; Mercedes Porosnicu; Mihaela Vatca; Shadi A Qasem; Barry DeYoung; Ville Kytola; Matti Nykter; Kexin Chen; Edward A Levine; Edgar D Staren; Ralph B D'Agostino; Robin M Petro; William Blackstock; Bayard L Powell; Edward Abraham; Boris Pasche; Wei Zhang
Journal:  J Hematol Oncol       Date:  2017-05-04       Impact factor: 17.388

10.  Impact of Time Delay in Processing Blood Sample on Next Generation Sequencing for Transcriptome Analysis.

Authors:  Jae-Eun Lee; So-Young Jung; So-Youn Shin; Young-Youl Kim
Journal:  Osong Public Health Res Perspect       Date:  2018-06
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