Noshad Peyravian
The application of gene expression profiling in predictions of occult lymph node metastasis in colorectal cancer patients
Peyravian, Noshad; Larki, Pegah; Gharib, Ehsan; Nazemalhosseini-Mojarad, Ehsan; Anaraki, Fakhrosadate; Young, Chris; McClellan, James; Bonab, Maziar Ashrafian; Asadzadeh-Aghdaei, Hamid; Zali, Mohammad
Authors
Pegah Larki
Ehsan Gharib
Ehsan Nazemalhosseini-Mojarad
Fakhrosadate Anaraki
Chris Young
James McClellan
Maziar Ashrafian Bonab
Hamid Asadzadeh-Aghdaei
Mohammad Zali
Contributors
Maziar Ashrafian Bonab
Supervisor
Abstract
A key factor in determining the likely outcome for a patient with colorectal cancer is whether or not the tumour has metastasised to the lymph nodes-information which is also important in assessing any possibilities of lymph node resection so as to improve survival. In this review we perform a wide-range assessment of literature relating to recent developments in gene expression profiling (GEP) of the primary tumour, to determine their utility in assessing node status. A set of characteristic genes seems to be involved in the prediction of lymph node metastasis (LNM) in colorectal patients. Hence, GEP is applicable in personalised/individualised/tailored therapies and provides insights into developing novel therapeutic targets. Not only is GEP useful in prediction of LNM, but it also allows classification based on differences such as sample size, target gene expression, and examination method.
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 1, 2018 |
Online Publication Date | Mar 2, 2018 |
Publication Date | Mar 2, 2018 |
Deposit Date | Aug 20, 2019 |
Publicly Available Date | Aug 22, 2019 |
Journal | Biomedicines |
Electronic ISSN | 2227-9059 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Issue | 1 |
Pages | 27 |
DOI | https://doi.org/10.3390/biomedicines6010027 |
Keywords | gene expression profiling (GEP); lymph node metastasis (LNM); colorectal cancer (CRC) |
Public URL | https://uwe-repository.worktribe.com/output/2043470 |
Publisher URL | https://doi.org/10.3390/biomedicines6010027 |
Contract Date | Aug 20, 2019 |
Files
Biomedicines-06-00027
(211 Kb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search