Computational Identification of Tumor Suppressor Genes Based on Gene Expression Profiles in Normal and Cancerous Gastrointestinal Tissues

المؤلفون المشاركون

Uddin, Md. Nazim
Li, Mengyuan
Sun, Qingrong
Lai, Maode
Wang, Xiaosheng

المصدر

Journal of Oncology

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-07-22

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

الأمراض
الطب البشري

الملخص EN

Cancer prevails in various gastrointestinal (GI) organs, such as esophagus, stomach, and colon.

However, the small intestine has an extremely low cancer risk.

It is interesting to investigate the molecular cues that could explain the significant difference in cancer incidence rates among different GI tissues.

Using several large-scale normal and cancer tissue genomics datasets, we compared the gene expression profiling between small intestine and other GI tissues and between GI cancers and normal tissues.

We identified 17 tumor suppressor genes (TSGs) which showed significantly higher expression levels in small intestine than in other GI tissues and significantly lower expression levels in GI cancers than in normal tissues.

These TSGs were mainly involved in metabolism, immune, and cell growth signaling-associated pathways.

Many TSGs had a positive expression correlation with survival prognosis in various cancers, confirming their tumor suppressive function.

We demonstrated that the downregulation of many TSGs was associated with their hypermethylation in cancer.

Moreover, we showed that the expression of many TSGs inversely correlated with tumor purity and positively correlated with antitumor immune response in various cancers, suggesting that these TSGs may exert their tumor suppressive function by promoting antitumor immunity.

Furthermore, we identified a transcriptional regulatory network of the TSGs and their master transcriptional regulators (MTRs).

Many of MTRs have been recognized as tumor suppressors, such as HNF4A, ZBTB7A, p53, and RUNX3.

The TSGs could provide new molecular cues associated with tumorigenesis and tumor development and have potential clinical implications for cancer diagnosis, prognosis, and treatment.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Sun, Qingrong& Uddin, Md. Nazim& Li, Mengyuan& Wang, Xiaosheng& Lai, Maode. 2020. Computational Identification of Tumor Suppressor Genes Based on Gene Expression Profiles in Normal and Cancerous Gastrointestinal Tissues. Journal of Oncology،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1188874

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Sun, Qingrong…[et al.]. Computational Identification of Tumor Suppressor Genes Based on Gene Expression Profiles in Normal and Cancerous Gastrointestinal Tissues. Journal of Oncology No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1188874

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Sun, Qingrong& Uddin, Md. Nazim& Li, Mengyuan& Wang, Xiaosheng& Lai, Maode. Computational Identification of Tumor Suppressor Genes Based on Gene Expression Profiles in Normal and Cancerous Gastrointestinal Tissues. Journal of Oncology. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1188874

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1188874