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Basic Information

Classification Information

Regulatory Mechanism		Biological Function		Clinical Application
TF		Immune		Survival
Enhancer		Apoptosis		Drug
Variant		Cell Growth		Circulating
MiRNA		EMT		Metastasis
Methylation		Coding Ability		Recurrence

Cancer&Entry Information

Cancer Name	gastric cancer
ICD-0-3	C16
Methods	qRT-PCR
Sample	Cancer tissues, the adjacent tissues
Expression Pattern	differential expressed
Function Description	We identified 46 differently expressed circRNAs between cancer and adjacent normal tissues through circRNA microarray. We further screened eight indicators related to early recurrence. We subsequently divided the remaining cases into two cohorts. qRT-PCR results demonstrated a significantly different outcome between low and high expressed groups of four circRNAs in the training cohort. We then constructed a four-circRNA-based classifier to evaluate the risk of early recurrence and distinguished patients with a high risk from those with a low risk. The areas under the receiver operator characteristic curve (ROC) of this classifier were 0.763 and 0.711 in the two cohorts, respectively. A new formula could be established by combined the circRNA classifier with TNM stages. The areas under the ROC curve were 0.866 and 0.818 of the two cohorts, respectively.
Pubmed ID	28206972
Year	2017
Title	Circular RNAs signature predicts the early recurrence of stage III gastric cancer after radical surgery

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