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

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.

Citation

Peyravian, N., Larki, P., Gharib, E., Nazemalhosseini-Mojarad, E., Anaraki, F., Young, C., …Zali, M. (2018). The application of gene expression profiling in predictions of occult lymph node metastasis in colorectal cancer patients. Biomedicines, 6(1), 27. https://doi.org/10.3390/biomedicines6010027

• 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