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Title

miRNA potential as Biomarkers for personalized medicine of CRC: a review of recent advances and future challenges

Year: 1397
COI: JR_PMJ-3-9_008
Language: EnglishView: 313
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Authors

Hadi Bamehr - Research Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran

Abstract:

Colorectal cancer (CRC) is a major health problem ranking as the third most common cause of cancer-related deaths worldwide. Despite the progress that has been made towards the Therapeutic methods such surgery chemotherapy and radiotherapy treatment outcomes is poor, and CRC is still remind as a deadly disease Due to its asymptomatic nature until the latter stages. Thus, the main challenge faced by many researchers is the early detection of CRC. The last two decades have seen a growing trend towards personalized medicine and provided important insights into the use of bio signatures to guide diagnosis and treatment, and to inform about treatment outcome. In personalized medicine, predictive biomarkers are helpful to better prognosis and treatment responses depend on phenotype, genotype, and the stage of the tumor. Therefore, according to the evidences a shift has been made in treatment strategy from a clinical-pathological profile to biomarker driven treatment algorithm. Over the past decade, most research reported miRNAs as key point in carcinogenesis which dysregulated in many cancers including CRC. In this investigation, the aim was to assess an overview of potential predictive biomarkers in CRC as well as current acknowledgment to use them for personalized medicine of CRC.

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This Paper COI Code is JR_PMJ-3-9_008. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/796675/

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Bamehr, Hadi,1397,miRNA potential as Biomarkers for personalized medicine of CRC: a review of recent advances and future challenges,https://civilica.com/doc/796675

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Type of center: علوم پزشکی
Paper count: 2,817
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