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Journal of Cancer Research and Clinical Oncology

Erschienen in:

31.05.2016 | Review - Cancer Research

Roles of long noncoding RNAs in gastric cancer and their clinical applications

verfasst von: Weiliang Sun, Yunben Yang, Chunjing Xu, Yi Xie, Junming Guo

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 11/2016

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Abstract

Purpose

Gastric cancer ranks as the most common cancer in the world. However, the progresses of its diagnosis and treatment are still not satisfactory. The purpose of this study is to summarize the roles of lncRNAs associated with gastric cancer.

Methods

We searched lncRNAs associated with gastric cancer in PubMed.

Results

Long noncoding RNAs (lncRNAs), transcripts larger than 200 nucleotides, regulate gene expression at various levels. They are playing important roles in the occurrence and development of gastric cancer. They are involved in signaling pathways, crosstalk with microRNAs, and affecting metastasis by regulating epithelial-to-mesenchymal transition. By acting as oncogenes or tumor suppressors, lncRNAs contribute to gastric cancer occurrence and development. Several lncRNAs including HOTAIR, HULC, LINC00152, MALAT2, H19, GHET1, and GACAT3 have been demonstrated having oncogene activities, while other lncRNAs including LEIGC, GAS5, and FER1L4 have been thought as tumor suppressors.

Conclusions

Several lncRNAs from tissue, blood, and gastric juice have shown potential values in gastric cancer diagnosis or prognosis evaluation.

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Titel: Roles of long noncoding RNAs in gastric cancer and their clinical applications
verfasst von: Weiliang Sun
Yunben Yang
Chunjing Xu
Yi Xie
Junming Guo
Publikationsdatum: 31.05.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Cancer Research and Clinical Oncology / Ausgabe 11/2016
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-016-2183-7

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Roles of long noncoding RNAs in gastric cancer and their clinical applications

Abstract

Purpose

Methods

Results

Conclusions

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Abstract

Purpose

Methods

Results

Conclusions

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