Comprehensive and integrative analysis identifies microRNA-106 as a novel non-invasive biomarker for detection of gastric cancer

Table 1 The main features of the included studies on individual miR-106

First author	Year	Country	Ethnicity	Sample size (case/control)	N	Male/femal (case)	Sample source	Methods	MicroRNA	AUC	Sencitivity (%)	Specificity (%)	QUADAS
Tsujiura et al.	2010	Japan	Asian	69/30	99	NA	Plasma	qRT-PCR	miR-106b	0.721	80.00	63.00	4
Zhou et al.	2010	China	Asian	90/27	117	63/27	Serum	qRT-PCR	miR-106a	0.684	48.15	90.24	5
Cai et al.	2013	China	Asian	90/90	180	66/24	Plasma	qRT-PCR	miR-106b	0.773	66.00	80.00	5
Cui et al.	2013	China	Asian	42/99	141	32/10	Gastric juice	qRT-PCR	miR-106a	0.871	73.80	89.30	5
Shiotani et al.	2013	Japan	Asian	64/64	128	41/23	Serum	qRT-PCR	miR-106b	0.610	55.60	70.30	6
Shiotani et al.	2013	Japan	Asian	62/70	132	47/15	Serum	qRT-PCR	miR-106b	0.700	75.80	51.40	6
Zeng et al.	2014	China	Asian	40/36	76	28/12	Serum	qRT-PCR	miR-106b	0.856	75.00	92.50	5
Hou et al.	2015	China	Asian	80/60	140	42/38	Plasma	qRT-PCR	miR-106a	0.895	77.50	93.80	4
Wang et al.	2017	China	Asian	110/110	220	NA	Serum	qRT-PCR	miR-106a	0.786	62.90	88.5	5
Li et al.	2017	China	Asian	65/65	130	50/15	Plasma	qRT-PCR	miR-106b	0.898	86.20	92.30	5
Yuan et al.	2017	China	Asian	28/28	56	22/6	Tissue	qRT-PCR	miR-106a	0.666	62.50	63.60	6
Yuan et al.	2017	China	Asian	48/22	70	38/10	Plasma	qRT-PCR	miR-106a	0.828	77.10	63.60	6

N number of participants, NA not available, AUC area under the curve, QUADAS quality assessment of diagnostic accuracy studies

ISSN: 1479-5876