Academic Journal
The application of gene expression profiling in predictions of occult lymph node metastasis in colorectal cancer patients
العنوان: | The application of gene expression profiling in predictions of occult lymph node metastasis in colorectal cancer patients |
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المؤلفون: | Peyravian, Noshad, Larki, Pegah, Gharib, Ehsan, Nazemalhosseini-Mojarad, Ehsan, Anaraki, Fakhrosadate, Young, Chris, McClellan, James, Bonab, Maziar Ashrafian, Asadzadeh-Aghdaei, Hamid, Zali, Mohammad |
المساهمون: | Ashrafian Bonab, Maziar |
بيانات النشر: | MDPI |
سنة النشر: | 2018 |
المجموعة: | University of the West of England, Bristol: UWE Research Repository |
مصطلحات موضوعية: | gene expression profiling (GEP), lymph node metastasis (LNM), colorectal cancer (CRC), Biomedical Sciences, Medical Science, Health, Centre for Research in Biosciences |
الوصف: | 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. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
Relation: | https://uwe-repository.worktribe.com/file/2043470/1/Biomedicines-06-00027; https://uwe-repository.worktribe.com/output/2043470 |
DOI: | 10.3390/biomedicines6010027 |
الاتاحة: | https://uwe-repository.worktribe.com/output/2043470 https://doi.org/10.3390/biomedicines6010027 |
Rights: | openAccess ; http://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: | edsbas.9BF09CBD |
قاعدة البيانات: | BASE |
DOI: | 10.3390/biomedicines6010027 |
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