Prognostic, diagnostic and clinicopathological roles of tsRNAs: a meta-analysis in breast cancer

Gao, Lu-Jue; Zhu, Si-Xun; Wei, Ying-Yi; Meng, Hua-Wei; Gu, Jing; Zhang, Hao; Dai, Li-Juan

doi:10.1186/s40001-023-01617-2

European Journal of Medical Research

Table 2 Characteristics of all diagnostic studies included in the meta-analysis

From: Prognostic, diagnostic and clinicopathological roles of tsRNAs: a meta-analysis in breast cancer

No	Study	Year	Country	Expre ssion	Sample size		Variables										Cancer type	Ref^k
No	Study	Year	Country	Expre ssion	Case	Control	AUC^a	Sen^b	Spe^c	TP^d	FP^e	TN^f	FN^g	PLR^h	NLRⁱ	DOR^j	Cancer type	Ref^k
1	Mo, 5′-tiRNA-Val	2019	China	Down	60	20	0.756	0.900	0.627	54	7	13	6	2.413	0.159	15.129	BC^l	31078732
2	Huang, tDR‐7816	2019	China	Down	45	22	0.859	0.832	0.709	37	6	16	8	2.855	0.237	12.046	NTNBC^m	31535382
3	Huang, tDR − 5236	2019	China	NA	45	22	0.588	0.729	0.539	33	10	12	12	1.579	0.504	3.131	NTNBC	31535382
4	Huang, tDR − 5334	2019	China	Down	45	22	0.661	0.730	0.611	33	9	13	12	1.873	0.443	4.229	NTNBC	31535382
5	Huang, tDR − 4733	2019	China	Down	45	22	0.621	0.627	0.609	28	9	13	17	1.602	0.613	2.613	NTNBC	31535382
6	Huang, tDR − 6954	2019	China	NA	45	22	0.567	0.615	0.533	28	10	12	17	1.317	0.722	1.823	NTNBC	31535382
7	Koi, tRF-Lys (TTT)	2019	Japan	Up	39	36	0.773	0.744	0.806	29	7	29	10	3.835	0.318	12.074	BC	32215990
8	Koi, tRF-Lys (TTT)	2019	Japan	Up	39	36	0.720	0.718	0.722	28	10	26	11	2.583	0.391	6.613	BC	32215990
9	Wang, tRF-Glu-CTC-003	2020	China	Down	144	112	0.684	0.659	0.617	95	43	69	49	1.721	0.552	3.115	EBCn	32814252
10	Wang, tRF-Gly-CCC-007	2020	China	Down	144	112	0.758	0.653	0.739	94	29	83	50	2.504	0.469	5.340	EBC	32814252
11	Wang, tRF-Gly-CCC-008	2020	China	Down	144	112	0.630	0.596	0.533	86	52	60	58	1.275	0.759	1.680	EBC	32814252
12	Wang, tRF-Leu-CAA-003	2020	China	Down	144	112	0.772	0.723	0.705	104	33	79	40	2.453	0.392	6.250	EBC	32814252
13	Wang, tRF-Ser-TGA-001	2020	China	Down	144	112	0.740	0.752	0.613	108	43	69	36	1.942	0.405	4.794	EBC	32814252
14	Wang, tRF-Ser-TGA-002	2020	China	Down	144	112	0.739	0.749	0.651	108	39	73	36	2.148	0.386	5.571	EBC	32814252
15	Wang, tRF-Arg-CCT-017	2021	China	Up	120	112	0.683	0.685	0.617	82	43	69	38	1.786	0.511	3.496	BC	33402674
16	Wang, tRF-Gly-CCC-001	2021	China	Up	120	112	0.656	0.622	0.657	75	38	74	45	1.813	0.575	3.153	BC	33402674
17	Wang, tiRNA-Phe-GAA-003	2021	China	Up	120	112	0.666	0.552	0.749	66	28	84	54	2.198	0.598	3.674	BC	33402674
18	Mo, tRF-17-79MP9PP	2021	China	Down	76	27	0.750	0.704	0.684	54	9	18	22	2.228	0.433	5.148	BC	33912465
19	Zhang, tRF-Gly-CCC-046	2021	China	Up	214	113	0.722	0.804	0.558	172	50	63	42	1.819	0.351	5.179	BC	34254739
20	Zhang, tRF-Tyr-GTA-010	2021	China	Up	214	113	0.781	0.836	0.619	179	43	70	35	2.194	0.265	8.282	BC	34254739
21	Zhang, tRF-Pro-TGG-001	2021	China	Up	214	113	0.709	0.822	0.531	176	53	60	38	1.753	0.335	5.229	BC	34254739

a AUC: the area under the receiver operating characteristic curve; b Sen: sensitivity; c Spe: specificity; d TP: true positive; e FP: false positive; f TN: true negative; g FN: false negative; h PLR: positive likelihood ratio; i NLR: negative likelihood ratio; j DOR: diagnostic odds ratio; k Ref: reference; l BC: breast cancer; m NTNBC: non-triple negative breast cancer; n EBC: early-stage breast cancer

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ISSN: 2047-783X

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