Circular RNAs in Gastric Cancer: Potential Biomarkers and Therapeutic Targets

Table 3

Prognosis-related circRNAs in GC.

circRNAs	Number of patients	Samples	Dysregulation	Correlated clinicopathologic features	Clinical values	Ref
hsa_circ_0010882	49	Tissues	Upregulated	TNM stage and tumor size	Poor OS	[87]
circ-ATAD1	72	Tissues	Upregulated	Tumor size, invasion, lymphatic metastasis, TNM stage	Poor OS	[88]
circ-HIPK3	63	Tissues	Upregulated	T stage and Ming’s classification	Poor OS	[41]
circ-DCAF6	62	Tissues	Upregulated	—	Poor OS	[89]
circPVT1	187	Tissues	Upregulated	—	Poor OS and DFS	[43]
circ-OSBPL10	70	Tissues	Upregulated	T stage, TNM stage, and tumor location (cardia GC show higher expression than noncardia GC)	Poor OS and DFS	[40]
circ-NHSL1	93	Tissues	Upregulated	UICC stages, pathological T stages, lymphatic metastasis, distant metastasis, and grades	Poor OS and DFS	[45]
circ-NRIP1	110	Tissues	Upregulated	Tumor size, lymphatic invasion	Poor OS and DFS	[36]
circ-LARP4	387	Tissues	Downregulated	Tumor size and lymphatic metastasis	Better OS	[90]
circ-LMTK2	111	Tissues	Downregulated	TNM stage and lymphatic metastasis	Better OS	[91]
circ-PVRL3	62	Tissues	Downregulated	TNM stage	Better OS	[62]
circ-CCDC9	48	Tissues	Downregulated	Tumor size, lymph node invasion, and TNM stage	Better OS	[116]
Four-circRNA-based classifier	125	Tissues	Circ-101308↑, Circ-104423↓, Circ-104916↓, Circ-100269 ↓	Effectively predict the early recurrence of stage III GC. (with HR value and ROC curve were provided)	Recurrence-related biomarker	[92]