Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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, Ashrafian Bonab, Maziar, Asadzadeh-Aghdaei, Hamid and Zali, Mohammad (2018) The Application of Gene Expression Profiling in Predictions of Occult Lymph Node Metastasis in Colorectal Cancer Patients. Biomedicines, 6 (1). p. 27. ISSN 2227-9059

Item Type: Article


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.

biomedicines-06-00027.pdf - Published Version
Available under License Creative Commons Attribution.

Download (210kB) | Preview

More Information

Depositing User: Leah Maughan


Item ID: 12938
Identification Number:
ISSN: 2227-9059
Official URL:

Users with ORCIDS

ORCID for Maziar Ashrafian Bonab: ORCID iD

Catalogue record

Date Deposited: 04 Jan 2021 17:17
Last Modified: 04 Jan 2021 17:30


Author: Maziar Ashrafian Bonab ORCID iD
Author: Noshad Peyravian
Author: Pegah Larki
Author: Ehsan Gharib
Author: Ehsan Nazemalhosseini-Mojarad
Author: Fakhrosadate Anaraki
Author: Chris Young
Author: James McClellan
Author: Hamid Asadzadeh-Aghdaei
Author: Mohammad Zali

University Divisions

Faculty of Health Sciences and Wellbeing > School of Nursing and Health Sciences

Actions (login required)

View Item View Item