Literature DB >> 31603697

Colorectal carcinoma screening: Established methods and emerging technology.

Erika Hissong1, Meredith E Pittman1.   

Abstract

Colorectal carcinoma screening programs have shown success in lowering both the incidence and mortality rate of colorectal carcinoma at a population level, in part because this carcinoma is relatively slow growing and has an identifiable premalignant lesion. Still, many patients do not undergo the recommended screening for colorectal carcinoma, and of those who do, a subset may be over- or under-diagnosed by the currently available testing methods. The primary purpose of this article is to review the data regarding currently available colorectal cancer screening modalities, which include fecal occult blood testing, direct colonic visualization, and noninvasive imaging techniques. In addition, readers will be introduced to a variety of biomarkers that may serve as stand-alone or adjunct tests in the future. Finally, there is a brief discussion of the current epidemiologic considerations that public health officials must address as they create population screening guidelines. The data we provide as laboratory physicians and scientists are critical to the construction of appropriate recommendations that ultimately decrease the burden of disease from colorectal carcinoma.

Entities:  

Keywords:  Colorectal cancer; biomarker; colonoscopy; fecal immunochemical test; fecal microbiota; screening

Mesh:

Substances:

Year:  2019        PMID: 31603697     DOI: 10.1080/10408363.2019.1670614

Source DB:  PubMed          Journal:  Crit Rev Clin Lab Sci        ISSN: 1040-8363            Impact factor:   6.250


  5 in total

1.  Gene signature and prognostic merit of M6a regulators in colorectal cancer.

Authors:  Jinfeng Zhang; Xuedi Cheng; Junzheng Wang; Yongjie Huang; Junhui Yuan; Dawen Guo
Journal:  Exp Biol Med (Maywood)       Date:  2020-06-30

2.  A novel prognostic signature of immune-related genes for patients with colorectal cancer.

Authors:  Jun Wang; Shaojun Yu; Guofeng Chen; Muxing Kang; Xiaoli Jin; Yi Huang; Lele Lin; Dan Wu; Lie Wang; Jian Chen
Journal:  J Cell Mol Med       Date:  2020-06-21       Impact factor: 5.310

3.  Comprehensive analysis of N6-methylandenosine regulators and m6A-related RNAs as prognosis factors in colorectal cancer.

Authors:  Wei Li; Yingchao Gao; Xiaojing Jin; Haobo Wang; Tianhao Lan; Ming Wei; Weitao Yan; Guiqi Wang; Zhongxin Li; Zengren Zhao; Xia Jiang
Journal:  Mol Ther Nucleic Acids       Date:  2021-12-14       Impact factor: 8.886

4.  Dexterous Identification of Carcinoma through ColoRectalCADx with Dichotomous Fusion CNN and UNet Semantic Segmentation.

Authors:  Akella S Narasimha Raju; Kayalvizhi Jayavel; Thulasi Rajalakshmi
Journal:  Comput Intell Neurosci       Date:  2022-10-10

5.  Molecular subtype identification and prognosis stratification by a metabolism-related gene expression signature in colorectal cancer.

Authors:  Dagui Lin; Wenhua Fan; Rongxin Zhang; Enen Zhao; Pansong Li; Wenhao Zhou; Jianhong Peng; Liren Li
Journal:  J Transl Med       Date:  2021-06-30       Impact factor: 5.531

  5 in total

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