Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data

المؤلفون المشاركون

Jiang, Zhi
Jiang, Bing
Li, Shuwen
Shao, Ping

المصدر

BioMed Research International

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-01-23

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الطب البشري

الملخص EN

Gastric cancer is one of the most severe complex diseases with high morbidity and mortality in the world.

The molecular mechanisms and risk factors for this disease are still not clear since the cancer heterogeneity caused by different genetic and environmental factors.

With more and more expression data accumulated nowadays, we can perform integrative analysis for these data to understand the complexity of gastric cancer and to identify consensus players for the heterogeneous cancer.

In the present work, we screened the published gene expression data and analyzed them with integrative tool, combined with pathway and gene ontology enrichment investigation.

We identified several consensus differentially expressed genes and these genes were further confirmed with literature mining; at last, two genes, that is, immunoglobulin J chain and C-X-C motif chemokine ligand 17, were screened as novel gastric cancer associated genes.

Experimental validation is proposed to further confirm this finding.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Jiang, Bing& Li, Shuwen& Jiang, Zhi& Shao, Ping. 2017. Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data. BioMed Research International،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1138483

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Jiang, Bing…[et al.]. Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data. BioMed Research International No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1138483

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Jiang, Bing& Li, Shuwen& Jiang, Zhi& Shao, Ping. Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1138483

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1138483