Integrated analyses of microRNA-29 family and the related combination biomarkers demonstrate their widespread influence on risk, recurrence, metastasis and survival outcome in colorectal cancer

Table 1 The main features of the included studies on individual miR-29 in the diagnosis of CRC

First author	Year	Country	Ethnicity	Case				Control				Sample source	Methods	miRNA	AUC	Sensitivity	Specificity	QUADAS
First author	Year	Country	Ethnicity	M	F	N	Age	M	F	N	Age	Sample source	Methods	miRNA	AUC	Sensitivity	Specificity
Huang [27]	2010	China	Asian	51	49	100	61	31	28	59	58	Plasma	RT-PCR	miR-29a	0.844	0.69	0.89	3
Giraldez [28]	2013	Spain	Caucasian	NA	NA	21	72.5	11	9	20	60.6	Plasma	RT-PCR	miR-29a	NA	0.62	0.85	4
Luo [29]	2013	Germany	Caucasian	45	35	80	68	60	84	144	62.5	Plasma	RT-PCR	miR-29a	0.571	0.30	0.90	4
Ramzy [34]	2015	Egypt	African	NA	NA	25	46	NA	NA	10	NA	Serum	RT-PCR	miR-29a	0.614	0.87	0.33	3
Basati [30]	2015	Iran	Asian	30	25	55	58.52	31	24	55	57.9	Serum	RT-PCR	miR-29b	0.87	0.77	0.75	4
Li [31]	2015	China	Asian	135	65	200	66.3	283	117	400	65.5	Tissue	RT-PCR	miR-29b	0.883	0.82	0.85	4
Li [31]	2015	China	Asian	135	65	200	66.3	283	117	400	65.5	Plasma	RT-PCR	miR-29b	0.743	0.61	0.72	4
Yamada [35]	2015	Japan	Asian	93	43	136	68	23	29	52	58	Serum	RT-PCR	miR-29a	0.741	0.60	0.84	3
Zhu [32]	2016	China	Asian	42	38	80	60.7	27	24	51	49.3	Feces	RT-PCR	miR-29a	0.777	0.85	0.61	4
Liu [33]	2018	China	Asian	51	34	85	59.5	48	30	78	34.8	Serum	RT-PCR	miR-29a	0.878	0.69	0.95	5

M male, F female, N number, NA not available, AUC area under the curve, QUADAS quality assessment of diagnostic accuracy studies

ISSN: 1475-2867