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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, Fakhrosadat, Young, Christopher, McClellan, James, Ashrafian Bonab, Maziar, Asadzadeh Aghdaei, Hamid and Zali, Mohammad Reza (2018) The Application of Gene Expression Profiling in Predictions of Occult Lymph Node Metastasis in Colorectal Cancer Patients. Biomedicines, 6 (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.

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Depositing User: Maziar Ashrafian Bonab


Item ID: 13943
Identification Number:
ISSN: 2227-9059
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Date Deposited: 10 Sep 2021 15:59
Last Modified: 25 Jan 2022 08:52


Author: Noshad Peyravian
Author: Pegah Larki
Author: Ehsan Gharib
Author: Ehsan Nazemalhosseini-Mojarad
Author: Fakhrosadat Anaraki
Author: Christopher Young
Author: James McClellan
Author: Maziar Ashrafian Bonab
Author: Hamid Asadzadeh Aghdaei
Author: Mohammad Reza Zali

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Centre for Enhancement of Learning and Teaching (CELT)


Sciences > Biomedical Sciences
Sciences > Health Sciences

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