Literature DB >> 27573900

Circulating Non-coding RNA as Biomarkers in Colorectal Cancer.

Manuela Ferracin1, Laura Lupini2, Alessandra Mangolini2, Massimo Negrini2.   

Abstract

Recent studies suggested that colorectal cancer influences the types and quantity of nucleic acids - especially microRNAs - detected in the bloodstream. Concentration of circulating (cell-free) microRNAs, and possibly of other non-coding RNAs, could therefore serve as valuable colorectal cancer biomarker and could deliver insight into the disease process. This chapter addresses the recent discoveries on circulating microRNA and long non-coding RNA as diagnostic or prognostic biomarkers in colorectal cancer.

Entities:  

Keywords:  Biomarkers; Colorectal cancer; Diagnostics; MicroRNA; Plasma; Serum

Mesh：

Substances：

Year:  2016        PMID： 27573900     DOI： 10.1007/978-3-319-42059-2_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN： 0065-2598            Impact factor:   2.622


  10 in total

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Review 2.  Non-Coding RNAs as Predictive Biomarkers to Current Treatment in Metastatic Colorectal Cancer.

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5.  lncRNA KIAA0125 functions as a tumor suppressor modulating growth and metastasis of colorectal cancer via Wnt/β-catenin pathway.

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Journal:  J Exp Clin Cancer Res       Date:  2020-11-25

7.  Long Non-coding RNA Signature for Liver Metastasis of Colorectal Cancers.

Authors:  Fang Liu; Zhen-Mei Song; Xiao-Di Wang; Shi-Yu Du; Na Peng; Jing-Rui Zhou; Ming-Gang Zhang
Journal:  Front Cell Dev Biol       Date:  2021-07-08

8.  The Role of MicroRNA Signature as Diagnostic Biomarkers in Different Clinical Stages of Colorectal Cancer.

Authors:  Sara Eslamizadeh; Mansour Heidari; Shahram Agah; Ebrahim Faghihloo; Hossein Ghazi; Alireza Mirzaei; Abolfazl Akbari
Journal:  Cell J       Date:  2018-03-18       Impact factor: 2.479

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Authors:  Ruowen Xiao; Shijuan Mai
Journal:  Transl Cancer Res       Date:  2019-10       Impact factor: 1.241

Review 10.  Novel Diagnostic Biomarkers in Colorectal Cancer.

Authors:  Aneta L Zygulska; Piotr Pierzchalski
Journal:  Int J Mol Sci       Date:  2022-01-13       Impact factor: 5.923
  10 in total

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